Special Cases

27
2022.4
【2022 Solutions】 Complete checkout in 1 second, Viscovery AI image recognition assists smart retail

Artificial intelligence AI has gradually changed the way various industries operate in recent years However, most of the work is still done by humans, with AI playing a supporting role This has led to emergence of the term "AI Copilot," which stands for "AI-driven tools or assistants" that aim to assist users in completing various tasks and improve productivity and efficiency The concept of AI Copilot comes from the role of "co-pilot" During flight, the co-pilot assists the main pilot in completing various tasks to ensure flight safety and efficiency In fact, there have been signs of various "machines" beginning to play the role of "copilot" in different fields since the Industrial Revolution, assisting humans in completing heavy physical and repetitive tasks, greatly improving factory production efficiency, and driving rapid economic development Following the advancement of computing equipment and breakthroughs in machine learning, deep learning, and image recognition technologies, the concept of AI Copilot has gradually taken shape The development of AI Copilot marks the transition from "machine-assisted to AI-assisted" Early robots could only complete preset repetitive tasks, but today's AI copilot can learn and adapt to new environments and tasks, and continuously optimize its performance in practical applications This transformation not only changes human-machine interactions, but also has a profound impact on various industries The application scope of AI copilot covers various industries, including finance, healthcare, manufacturing, education, retail, etc, and are everywhere to be seen Application of AI copilot in the retail industry AI image recognition checkout In the retail industry, the application of AI copilot has begun to show concrete results Take Viscovery's AI image recognition checkout system as an example This system is a type of AI copilot model that helps store clerks speed up checkout or assists consumers in simplifying the self-service checkout process The store clerk needs to scan the product barcodes one by one in the regular checkout method If a product does not have a barcode, such as bread and meals, the clerk needs to first visually confirm the items, and then input them into the POS checkout system one by one Based on actual measurements at a chain bakery, it takes 22 seconds for an experienced clerk from "visual recognition" to "entering product information of a plate of 6 items into the checkout system" New clerks may need even more time In addition, according to a Japanese bakery operator, it takes 1 to 2 months to train employees to become familiar with products Now with AI image recognition technology, store clerks let AI handle the "product recognition" step, and AI will play the role of copilot, quickly identifying items within 1 second, speeding up checkout to save 50 of checkout time, and optimizing customers'shopping experience The time cost of training employees to identify bread can also be effectively shortened Even for products with barcodes, AI can quickly identify multiple items in one second, which is more efficient than scanning barcodes one by one The self-checkout system "assisted" by AI image recognition allows consumers to successfully complete shopping without the help of store clerks, eliminating the trouble of swiping barcodes or searching for items on the screen, which improves the shopping experience In a time when store clerks are hard to hire due to labor shortage, this also helps stores reduce operating costs AI quickly identifies multiple checkout items in just one second Source of image Viscovery Recently, startups dedicated to developing AI image recognition checkout solutions have emerged in various countries The most lightweight solution currently known is in Taiwan It can be immediately used by installing a Viscovery lens and a tablet installed with Viscovery AI image recognition software at the checkout counter to connect to the store's existing POS checkout system There are various integration methods, including plug-and-play and API solutions integrated with the store's POS system Viscovery AI image recognition system can be painlessly integrated with the store's existing POS system Source of image Viscovery Example of AI image recognition checkout Currently, the Viscovery AI image recognition system is being used in bakery chains in Taiwan, Chinese noodle shops in Singapore, micromarkets in department stores in Sendai, Japan, and Japanese bakeries and cake shops Over 7 million transactions were completed through this AI system, which identified more than 40 million items These use cases demonstrate the extensive application of the Viscovery AI image recognition system in the retail industry In the future, the company will continue to explore the various possibilities of using Vision AI in retail and catering nbsp The Viscovery AI image recognition system is already being used in bakeries, cake shops, restaurants, and convenience stores in Japan, Singapore, and Taiwan Source of image Viscovery

2022-04-27
【2022 Solutions】 Neuron Technology, moving and observing, starting with the eyes, the best smart medical assistant

Looking around the world and in Taiwan, the number of patients suffering from vertigo is increasing year by year When faced with vertigo testing, most people will choose to have it diagnosed by a doctor or hospitalized with neuromedical imaging tools such as MRI or CT for interpretation However, this may lead to misdiagnosis of vertigo, overdiagnosis of patients, waste of medical resources, etc, and cannot be effectively traced back The actual condition of the patient's dizziness In order to solve the long-term clinical pain point of vertigo, Neurobit has developed a smart wearable medical device - NeuroSpeed smart glasses and an AI assistance system It provides an AI smart solution for rapid screening of vertigo, assisting doctors in quickly screening more than 80 of brain diseases Efficient detection power with accuracy and sensitivity of over 90 Neuron Technology was founded in 2016 The co-founders include Yang Juncheng, Chen Weicheng, Huang Jinxun and Wang Jingfu The four of them were studying at the National Taiwan University Medical Engineering Institute and the Creative Entrepreneurship Program to jointly offer the "Biomedical Innovation and Commercialization" course Next, let’s embark on the entrepreneurial journey together The core team members of Neuron Technology are mainly composed of cross-field experts in medical engineering, information technology, neurology, patents, business, etc The common entrepreneurial concept is to continuously explore and explore unsolved pain points in medical clinical practice Seeing that patients were suffering from vertigo, Neuron Technology invented and independently developed an efficient and practical wearable smart medical device, NeuroSpeed Smart Glasses, which combines hardware AI-assisted decision-making system software to provide an AI smart solution for rapid dizziness screening Neuron Technology CEO Yang Juncheng said that the proportion of people in Taiwan and the world who suffer from vertigo is very high In Taiwan, as many as 3 of the people about 700,000 suffer from vertigo, while in the United States, about 1,000 people suffer from vertigo Tens of thousands of people go to see a doctor due to vertigo From the data, it can be seen that the vertigo medical care market is quite huge Regarding rapid screening for vertigo diagnosis in the clinic, current rapid screening tools in hospitals mainly use neurological examinations, and most of them are processed through questionnaire-type scales The diagnosis will rely too much on the patient's chief complaint and the doctor's experience judgment, and lacks quantitative indicators, resulting in Misdiagnosis of vertigo and loss of golden treatment time For patients with vertigo who are admitted to the emergency department, medical diagnosis in the past relied heavily on neuromedical imaging tools such as computed tomography CT or magnetic resonance imaging MRI After observation, it was found that the equipment was insufficient In the United States, the number of patients admitted to the emergency department Less than 3 of the population can receive immediate MRI diagnosis, and less than 50 can receive CT diagnosis However, excessive use of CT or MRI diagnosis may lead to overdiagnosis and treatment of patients, and even waste of medical resources In order to help vertigo patients accurately and efficiently screen and triage and reduce over-diagnosis in clinics and emergency rooms, NeuroSpeed Smart Glasses, a wearable smart medical device developed by Neuron Technology, is believed to have a great impact on the overall application of medical resources and patient diagnosis and treatment It is very helpful Yang Juncheng said that if it is not necessary to use MRI to track the diagnosis, this device can be used as a rapid screening test before the existing MRI neuroimaging tools and after the patient is admitted to the hospital, reducing over-diagnosis of patients NeuroSpeed's examination method is to quickly screen for nystagmus to identify patients with potential brain diseases The examination method of this technology is to observe the trembling state of the eyes and a series of eye movements when the subject is staring at a stationary object, so as to judge Brain risks for appropriate diagnosis and treatment NeuroSPeed smart glasses can crack brain and eye diseases, clinical trial sensitivity reaches 90 With the active research and development of Neuron Technology, two generations of NeuroSpeed smart glasses have been successfully launched The first generation NeuroSpeed mainly provides doctors with real-time observation of high-quality eye images and eye movement response-related examination data reference, and does not provide auxiliary diagnosis services The second generation of NeuroSpeed allows physicians to record, track, store and view relevant eye movement analysis and pupil area identification, thereby effectively diagnosing diseases of the central, meridian and peripheral nervous systems Because the second-generation NeuroSpeed product has the function of assisting doctors in analysis and diagnosis, it has been classified as a Class II medical device in the United States and must be certified by the US FDA before it can be sold externally At this stage, this product has completed pre-submission and will be submitted for review after the biocompatibility test is completed It is expected that the second generation NeuroSpeed will successfully obtain US FDA certification next year In terms of actual verification fields, NeuroSpeed has currently cooperated with New Taipei Shuanghe Hospital and Taichung Tzu Chi Hospital for clinical verification Its clinical results have confirmed the classification judgment of central nervous system diseases such as stroke and other vestibular system diseases With the addition of NeuroSpeed Smart glasses are designed to be lightweight and easy to carry, detect quickly and easily, and have the functional characteristics of automatic interpretation They can effectively assist doctors in quickly screening for potential brain disease risks in patients with vertigo Field verification with foreign medical centers mainly involves vertigo patients admitted to the emergency department Physicians can use NeuroSpeed smart devices to interpret the phenomenon of stroke diagnosis Currently, the accuracy of clinical trials in the above-mentioned cooperative hospitals reaches 80 and the sensitivity reaches 90 Neuron Technology develops smart wearable medical device NeuroSpeed smart glasses In addition to becoming the best smart medical assistant for doctors to quickly screen brain disease risks in the clinic and emergency department, NeuroSpeed smart glasses also assist doctors in the detection and assessment of strabismus risk They are jointly developed with the Tri-Service General Hospital through neuron technology The "Portable Strabismus and Abnormal Eye Movement Diagnosis System" is implemented in the Tri-Service General Hospital, providing doctors with a complete preoperative assessment of strabismus and postoperative tracking basis This excellent RD technology achievement was recognized by the 17th National Innovation Award-Clinical Innovation Award in 2020 We know that many diseases can cause congenital or acquired eye movement abnormalities, and even cause symptoms of strabismus or nystagmus Among them, as for strabismus, according to expert physician consultation surveys, the global prevalence of strabismus among school-age children is 2 5, while the prevalence of strabismus among school-age children in Taiwan is about 1 to 4 Yang Juncheng said that clinical diagnosis of the symptoms of these diseases is mainly divided into two categories deviation measurement of eye position and eye movement test It has been observed that there is currently a lack of objective quantitative methods for diagnosing eyeball position deviation, and eyeball deviation measuring instruments are used to check subjectively For Neuron Technology, the current NeuroSpeed instrument and strabismus and abnormal eye movement diagnosis system software can integrate objective and clear eyeball images, eye muscle function and eye deviation angle data as a rapid test that meets clinical diagnostic criteria Service, the data of these tests can be used as the basis for doctors’ complete preoperative assessment and postoperative tracking of strabismus Therefore, this system can provide objective and effective quantitative analysis, which can greatly reduce the medical risks of patients during surgery In terms of business model, Neuron Technology mainly cooperates with hospitals to sell research-based products It is believed that the company expects to have significant revenue performance after passing the FDA next year At present, Neuron Technology will use the country's first wearable smart medical device NeuroSpeed smart glasses and AI assistance system to provide software and hardware integrated solutions to assist doctors in quickly screening brain diseases and eye diseases, extending patients' golden treatment time and reducing social risks health care costs to create a triple win NeuroSpeed smart glasses assist doctors in quickly screening brain and eye diseases Looking at the world, the pioneer of smart medical equipment, a new paradigm of biomedical software and hardware system integration In the early days of Neuron Technology’s entrepreneurship, technology research and development and business expansion faced many challenges Yang Juncheng expressed his sentiments that since the NeuroSpeed product is the first medical smart glasses developed in China, both in terms of obtaining hardware raw materials and developing technical specifications, The challenges associated with building and integrating related systems are higher than those for consumer electronics Additionally, bringing together cross-disciplinary talent and integrating it into a core team is also an entrepreneurial challenge In terms of business development, although the company has accumulated clinical verification results and published related outputs, the establishment of market channels still requires continuous efforts to expand It is hoped that it can continue to rely on the assistance of legal persons such as the Capital Strategy Council to actively create more diversified market channels and connect potential Cooperating manufacturers In order to accelerate international expansion and market operation exchanges, the company will conduct a new round of fundraising planning at this stage to meet development Since its establishment, Neuron Technology has taken long-term development and stable profits as its operating goals Yang Juncheng said that in addition to focusing on existing professional fields, we also develop and apply value-added products through the company's software development and software development The accumulated RD energy of hard integration is expanded to other medical disciplines and fields Yang Juncheng hopes that Neuron Technology can become a pioneer in smart medical equipment, with research and development oriented to meet the needs of users and patients, and also hopes to become a model for the integration of biomedical software and hardware systems For the medium and long-term layout, the company will promote industry-university exchanges and cultivate biomedical talents integrate upstream and downstream industry resources to create smart medical solutions and platforms and actively explore foreign sales markets such as the United States and Europe as a basis for sustainable development of the company Vision 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2022-08-17
【2019 Solutions】 NexCOBOT - Smart Self-Checkout System Makes Future Shopping Convenient

Imagine a future where all shops have no clerks, fully replaced by smart devices Simply placing items on the table and letting the intelligent self-checkout system handle the rest makes shopping convenient and easy This scenario is not far-fetched, as unmanned store projects have already emerged in Taiwan, such as the recent multi-million investment by FamilyMart to create their second tech-concept store Through human-machine collaboration and the latest technology, they aim to alleviate clerical work, and NexCOBOT hopes to bring this concept into unmanned stores to simplify the checkout process for consumers NexCOBOT introduces a smart self-checkout system, aiming to incorporate this technology into unmanned stores, simplifying the checkout experience for consumers Dedicated to smart retail solutions to enhance consumer technology experience NexCOBOT, a subsidiary of NEXCOM, specializes in the independent development of six-axis robots and smart retail solutions With the rise of the Internet of Things, the line between physical and virtual commerce has blurred NexCOBOT identifies three foundational elements of IoT commerce smart retail, smart logistics, and cloud-based real-time management systems Continually, NexCOBOT commits to smart retail solutions, addressing major pain points for business owners while considering enhanced technological experiences for consumers, hoping to pioneer unprecedented innovative applications When it's time to check out, simply place the items on the table, and a scanner will identify the products and display both the items and prices on the screen How does NexCOBOT's smart self-checkout system work When checking out, place the shopping cart's items on the table An overhead scanner performs image recognition, then the screen displays the types of products and the amounts Payment can then be made using cards, smartphones, or other payment devices It can even integrate with facial recognition systems, allowing customers to pay through face scanning, which saves the time previously spent scanning barcodes and queuing Additionally, the store can utilize backend analyses to track customer data and popular products Due to the need for precise image scanning, a detailed product database must be established beforehand The store can also analyze customer data and popular items through backend analytics Establishing a product database to gain control of product information Precise image scanning requires that all items have a previously established database Scanning could include detailed 3D images of merchandise like cookie boxes or drink cans The more detailed the database, the faster the checkout process and the more effective the backend analytics However, because of limited space on counters, scanning large volumes of merchandise could be problematic Initially, items easily recognizable like those in bakeries might be prioritized Additionally, NexCOBOT offers modular solutions such as smart shelves, smart self-order systems, smart self-checkouts, smart marketing dashboards, etc, all customizable as per the client's requirements Integration with existing systems such as Point of Sale POS, Enterprise Resource Planning ERP, Customer Relationship Management CRM, and Digital Signage is also feasible Besides using payment devices, it can even integrate with facial recognition systems, allowing customers to pay through facial scanning, eliminating the need for manual barcode scanning「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2019-11-18
【2021 Solutions】 Motor Protectors: How Haobo Technology Employs AI to Understand the 'Hearts' of Machines

Motors are a critical power source for various devices in modern times, and are key components of many automated equipment, acting like the heart of machines Any malfunctions not only shorten the lifespan of the motors themselves but also affect the entire system's operation, potentially causing delays in production due to downtime Through the use of Smart Vibration Diagnostic and Monitoring Solution SVDM Solution, Haobo Technology utilizes AI to comprehend motors, becoming an indispensable tech partner in intelligent manufacturing The essential industrial motors see an almost 4 annual compound growth rate According to statistics, the market size for industrial motors was 329 billion in 2017, with an expected compound annual growth rate of 363 from 2019 to 2025 Motors have a wide variety of uses, nearly essential in all equipment operations, and represent a technology that is well-developed, with numerous suppliers and a long product lifecycle Haobo Technology, established in 2015, started by solving motor noise issues In recent years, due to the rapidly evolving AI technology, Haobo Technology has continuously innovated and researched, integrating vibration frequency with sound-based audio processing technologies and AI algorithms for noise reduction, along with their self-developed wideband low-noise vibration sensors They introduced a new generation of industry-leading 'Smart Vibration Diagnostic and Monitoring Solution' SVDM Solution, overcoming previous challenges in detecting main vibration frequencies and predicting vibration models in complex environments, making it an essential solution for accelerating industrial intelligence Haobo Technology's 'Smart Vibration Diagnostic and Monitoring Solution' has been successfully applied in PCB drilling machines, semiconductor equipment, machine tools, and medical equipment Haobo Technology's CEO Lu Hongyi states that the Smart Vibration Diagnostic and Monitoring Solution is distinguished not only by its noise reduction capability but also by the AI model's ability to instantly recognize abnormal frequencies in motor vibrations Since general motor sensors are too large to be mounted on the motors, Haobo Technology has customized thin sensors to be installed on the spindle motors, allowing AI models to be computed in real-time on edge devices, significantly reducing the cost of computational resources, with an overall potential reduction in costs by one-fourth Simultaneously, advancements in vibration detection for motor operations have exceeded past technological limits, thus allowing for the immediate detection of the minutest changes and providing early malfunction warnings, helping to extend the lifespan of the motors Haobo Technology has established a vibration data AI analysis platform that constantly monitors the health of motors Haobo Technology's self-developed AI engine is capable of training database modules from collected operational vibration data of motors and establishing a proprietary database for that equipment, which provides real-time comparisons during operation, monitoring if the production equipment is functioning normally Upon detecting any abnormalities, the system instantly issues a warning alert, enabling on-site managers to address the issue immediately to prevent large quantities of finished or semi-finished products from defects Haobo Technology's vibration data AI analysis platform can detect the most subtle vibrations in motors, thus precisely predicting their health status Lu Hongyi mentions that the company independently develops its sensors, hardware, firmware, and AI data analysis platforms, which allows for the detection of the faintest vibrations in motors, thereby accurately predicting their health status This optimization of product quality and preemptive monitoring of production equipment health aims to enhance productivity Haobo's 'Smart Vibration Diagnostic and Monitoring Solution' SVDM Solution has successfully been applied in PCB drilling machines, semiconductor equipment, machine tools, and medical devices, with future plans to actively promote across various industries and enter the international market, hoping to become a pioneer in smart vibration diagnostics Haobo Technology CEO Lu Hongyi「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2021-10-06

Records of Solutions

【解決方案】蹲點魚塭有成 海盛科技用AI幫漁民養好魚
【2021 Solutions】 Hyson Technology uses AI to help fishermen farm fish

Lien Wei-Cheng, the founder and CEO of Hyson Technology, was once an IC design engineer in the semiconductor industry, working in front of a computer all day long in Hsinchu Science Park Although he was busy, he still had a sense of uncertainty and felt anxious about his life goals He couldnrsquot help but think about whether the technological capabilities he learned can directly connect with people and the land, solve various social issues, improve human life, and further change the world He took the plunge and left the semiconductor industry, a job that everyone envied, and founded Hyson Technology He stayed at the fish farms in Qigu, Tainan, his hometown for a long time, and built relationships with the fishermen He was eventually able to talk about "fishing knowledge" and gained the trust of the fishermen The "Aquaculture Monitoring and Rearing System" was developed by Hyson Technology by combining artificial intelligence AI, Internet of Things IoT, and mechanism design The system uses a method friendly to fish, shrimp, and the environment to reduce risk and increase yield, achieving sustainable farming production nbspSchematic diagram of the AIoT aquaculture rearing management system of Hyson Technology Lien Wei-Cheng, who was wearing a sun hat and walking among the fish ponds under the scorching sun, was asked Why did you make the change from the tech worker to an entrepreneur who helps fishermen farm fish He answered shyly with a smile The chairman of a certain semiconductor company also asked him the same question "I want to have more contact with people, directly understand people's needs, and find places where technology is needed to improve people's lives," he said, so he resolutely left his envied job in the semiconductor industry and became "half tech worker, half fisherman" The annual output value of Taiwanese fishermen is relatively low, but there is great potential to increase output value through technology Why did you choose aquaculture for entrepreneurship Citing a report in "CommonWealth Magazine", he pointed out that to show the value of an industry, we can observe whether the industry has prospects based on the per capita annual output value of employees For example, Qualcomm has a per capita annual output value of NT23 million, and Microsoft is NT23 million The per capita annual output value of Norwegian fishermen reaches approximately NT24 million, which is three times the per capital annual output value of Taiwan's electronics industry NT8 million The current average of Taiwan's aquaculture industry is only about NT400,000 There is considerable room for growth from NT400,000 to NT24 million Thinking about it from another perspective, Taiwanrsquos electronic hardware and IoT equipment technology lead the world If these technologies can be combined to give smart aquaculture full play, the average annual output value of fishermen is expected to increase significantly The expertise of Hyson Technologyrsquos team is AI image processing technology and data analysis technology They use these technologies to solve the risks and labor problems caused by not being able to see fish and shrimp underwater The team sets out from being able to see, to measure, and to control, and allows fishermen to quickly monitor the growth status of fish and shrimp using their mobile phones It can also be combined with automated equipment to reduce labor and risks When Lien Wei-Cheng was a student in the Department of Electrical Engineering, National Cheng Kung University, he loved raising ornamental fish and watching birds, often going to Qigu to watch birds He observed the environment and found that more and more fish farms in Qigu were being abandoned This was mainly due to two major factors, one is that it is difficult for young people to enter the industry without experience The other is that the older generation did not keep records and it is difficult to pass on experience This has resulted in an aging population in Taiwanrsquos fishing villages and prevented an increase in output volume The most effective way to solve the problems above is to introduce an automated system to assist with fish farming Hyson Technology's fish farming system uses self-designed IoT underwater cameras to monitor fish in the farms It also uses Edge-AI image defogging technology to make the images of fish in ponds clearer, allowing fishermen to use their mobile phones to see fish activities and feeding, and determine if the fish are sick The images are synchronized to the cloud, and Cloud-AI automatically identifies, samples, and measures biological information, such as the length and weight of each fish, automatically recording and compiling statistics of the growth status of the fish The information is visualized in reports and images It can also analyze the feed conversion ratio in different farming stages The AI expert system can also predict harvest dates based on growth data, control sales and shipment schedules, and ensure stable and sufficient supply The fish farming system is like a ruler, taking into account every detail of fish farming The fish farming system creates an objective ruler for the fish farming industry Using this ruler, fishermen can measure and compare the effects of different farming methods, see parts that they have not paid attention to before, and create more usages and value In the past, the traditional approach of manually catching fish samples was labor-intensive and time-consuming It usually took two people an hour to sample only 30-40 fish, and often caused accidental fish casualties Field verification results show that Hyson Technologyrsquos fish farming system can automatically sample and measure the biological information of 300 fish in 5 minutes without disturbing the activities of the fish It is extremely efficient and can ensure zero damage to the fish Fish farmers use the systemrsquos AI growth statistics as the basis for decision-making in determining the size of fish entering the pond and shipping It replaces the original traditional method of manually catching and measuring 30 fish, which can save about 75 of manual work time In the fish farming industry with extremely scarce manpower, the benefits of saving manpower are very significant Hyson Technology is gradually expanding the AI technology it developed to other fields For example, Hyson Technology participated in the AI New Talent Selection of the Ministry of Economic Affairs Industrial Development Bureaursquos AI Program, in which ldquomajor companies provide problems and startups provide solutionsrdquo The company combined its proprietary fully automatic AI underwater image defogging algorithm with an AI model, and applied it to the solution of an optoelectronics company for removing rainbow film from LED panels The company thus won the biggest award for meeting all technical thresholds Lien Wei-Cheng pointed out that the defogging technology can automatically estimate the degree of color distortion in water and automatically adjust the contrast of each area to improve image quality Compared with AI models that consider underwater physics and methods based on adversarial network model, the method proposed by Hyson Technology provides clearer image details, and also received better scores in multiple objective image quality evaluation standards, such as NIQE and PSNR Underwater image defogging algorithm favored by major companies due to its superiority This defogging technology combined with AI technology can effectively improve the accuracy of fish recognition For groupers with colors similar to the background and difficult to distinguish, the accuracy can be significantly increased by more than 3 For batfish with clear features and high recognition accuracy already reaching 98 and above, the accuracy can be further increased by nearly 1 Using this technology to make the images of farmed fish clearer, it can be used as the basis for determining fish diseases If the technology for underwater defogging is built into the AI model recognition layer, it can also be used to solve the problem of rainbow patterns appearing when taking photos of screens, which prevents panel defects from being detected This will effectively solve the problem of AUO with rainbow pattern interference during panel inspection What are the challenges of Hyson Technology in business promotion Lien Wei-Cheng believes that the biggest difficulty is how to expand into a new industry Hyson Technology often faces customers from traditional industries When recommending or cooperating with traditional industry customers on a new technology product, the key is gaining the trust of customers and achieving the goal of customers are partners Frequent visits are needed to gradually build trust and understand customer needs Only then will the company have the opportunity to further assist customers in solving their pain points Hyson Technology's excellent image recognition and AI technologies have gradually gained recognition from customers It has built relationships with major companies in verification, and it will continue to gain a foothold in the market in the short term with its own image processing products, such as the fish farming system In the medium term, it hopes to expand the scope of products and business services, and provide one-stop production and marketing services from underwater to on land, and from the production end to the consumer end In the long term, Hyson Technology will duplicate its successful experiences in Taiwan and integrate resources of partners to expand into the international market Lien Wei-Cheng, founder and CEO of Hyson Technology, working in a fish farm Lien Wei-Cheng and Chiu Yu-Shao join the ranks of smart aquaculture with their technological expertise

【解決方案】瞄準元宇宙商機 滙嘉健康研發智慧光纖薄墊應用潛力大
【2021 Solutions】 Targeting Metaverse Business Opportunities, Huijia Health Develops Smart Fiber Optic Pad with Great Application Potential

Can you imagine A premature baby weighing only 680 grams is fighting for her life The baby is fast asleep in the incubator connected to all kinds of tubes because she is less than a month old What an unbearable sight It pained Shu-Chen Yang, chairman of Huijia Health Life Technology, to see this scene, and it inspired her to develop a smart fiber optic pad for cribs, which can monitor physiological data around the clock The little baby successfully survived and assisted in tests as she grew up, making the dream come true Now she has grown into a little girl in the fifth grade of an elementary school After 10 years, this technology has advanced to 2mm thin pads, and has been applied to elderly care, COVID-19 technology-based epidemic prevention, and innovative high-end medical devices The goal is to promote this new innovative technology to help more people who need it This is the touching story of why Shu-Chen Yang started the company This magical pad is the nFOPTregnon-invasive fiber optic physiological monitoring pad developed by Huijia Health If is combined nbspwith a smart care system, it can continuously track potential changes in the patient, such as respiration, heart rate, blood pressure, sleep analysis, and activity The sensor pad can be placed under the pillow or bed sheets If the patient has any abnormal conditions, a warning will be automatically issued within 30 seconds Huijia Health develops a non-invasive physiological monitoring system with love as its starting point This product has also become the pride of Taiwan Shu-Chen Yang was invited to serve as Taiwan's representative to participate in the 2021 APEC BEST Award and won the "Fourth Industrial Revolution" award "Huijia Health's products are listed among major innovations in the 2021 Global COVID-19 Innovation Survey report, along with Moderna, Johnson amp Johnson in the United States, and AZ in the United Kingdom, gaining global recognition for innovation in epidemic prevention" said Shu-Chen Yang with her joy visible on her face The innovative solution nFOPTreg was also included in the United Nations-related Global COVID-19 Innovation Survey Report, and was listed as one of the 120 major innovations among over 1,300 items, showing that nFOPTreg is highly recognized as a solution that has the opportunity to be quickly provided for the world to jointly combat COVID-19 In fact, Huijia Health has long been a winner of international awards The smart care pad has won the RampD 100 Awards, APICTA Awards, ECI Grand Awards, National Innovation Award, National Healthcare Quality Award, and Excellent Epidemic Prevention Institution Over the past decade, more than 300 obstetrics and gynecology clinics, postnatal care center, infant care centers, nursing homes, dementia homes, centers for intellectual disability, and hospitals have adopted nFOPTreg smart care pads and system to assist with care The non-invasive fiber optic physiological monitoring pad, coupled with a smart care system, can easily achieve long-term and continuous physiological monitoring "Safety and no need to wear devices are my principles for developing health monitoring products" Shu-Chen Yang's original intention was to solve two pain points in baby care One is that no device can be worn, and the other is that there cannot be any electromagnetic waves Due to its high acceptance in the infant and toddler market, it has gradually expanded to areas where it can be used by the elderly, such as long-term care centers and nursing institutions Shu-Chen Yang further explained that babies and the elderly are fragile individuals, and safety from electromagnetic waves is the top priority The elderly are very resistant to any wearable devices The smart care pad does not need to be worn and is placed on the pillow or under the sheets to easily achieve long-term, continuous physiological monitoring The smart fiber optic pad is developed using the principle of total reflection of optical fiber The pad captures the changes in and out of the optical fiber and distinguishes environmental values and non-environmental values Therefore, it has low noise and the data obtained is simple and clean By introducing AI tools such as machine learning and big data analysis to analyze and determine parameters connected to the body, it is expected to provide positive care benefits, including early warning of heart disease and patient care after recovering from COVID-19 Non-invasive fiber optic physiological monitoring pad can monitor sleep Demand for epidemic prevention technology products increases as smart fiber optic pads play its role Shu-Chen Yang said that the smart fiber optic pad AI smart care system reduced the probability of contact between front-line health workers and at-risk patients during the COVID-19 pandemic It not only saves medical resources, but also greatly reduces the pressure of care on caregivers Shu-Chen Yang said that the company is still targeting the two major home care markets, including infant care and long-term care, in the current stage At this stage, smart fiber optic pads are still sold as general consumer electronics products and are classified as auxiliary care products However, in order to benefit more patients, Shu-Chen Yang pointed out that they have applied for medical device certification for the product, and expect to obtain the certificate as soon as next year, at which time it will have even greater potential for development Huijia Health has changed the traditional care service process and monitors physiological data in a contactless way Although it started early, it does not mean that there are no competitors trying to catch up However, Shu-Chen Yang confidently pointed out, "Prototypes and samples will take two years, and it will take another five years for product stability to reach a certain level Only after the product is stable can it be used for higher-end applications" In addition, data collection is not easy AI applications will generate greater value after accumulating data, making it difficult for latecomers to catch up Therefore, the technical threshold established by Huijia Health is not low, but she opened its doors and adopted an open attitude, welcoming businesses from all fields to work together and create a win-win situation At this stage, the company has entered the car driving behavior monitoring market, which can detect the driver's physical, mental and fatigue status It only takes three months to produce samples by cooperating with Huijia Health, and will allow quick commercialization In the future, the electric vehicle market can also introduce sensors to achieve safety and accuracynbsp Smart fiber optic pads can also enter the automotive market to monitor the physical, mental and fatigue status of drivers Recently, the metaverse has gained momentum, and Shu-Chen Yang believes it is a big business opportunity She said that the metaverse requires a large number of sensors for long-distance and short-distance interactions As long as the application scenarios are outlined, the applications of smart fiber pads will be unlimited For example, patients walking in the hospital using railings for support has not had good rehab effects On the one hand, it is impossible to know whether they have improved On the other hand, the rehab effects will be poor if there is no one to accompany and encourage them With the use of sensors, patients will be able to record their rehab situation at any time, and also virtually interact with family far away, as if family members were accompanying them during rehab, doubling the effect Looking towards the future, Huijia Health will extend its application to more fields, and will adopt a licensing approach to assist strategic partners in completing commercialization In the current stage, the products have been promoted to overseas markets such as Japan, South Korea, Malaysia, Vietnam, Philippines, and Spain

【解決方案】以人為本 叡揚資訊研發iota Cai對話服務平台解決系統整合問題
【2021 Solutions】 People-oriented Ruiyang Information develops the iota C.ai dialogue service platform to solve system integration problems

Ruiyang Information, which has been established for 34 years, has occupied an important position in the fields of official document systems, knowledge management systems, and enterprise e-ization Facing the advent of the era of AI and mobility, Ruiyang Information boldly embraces AI and " "People-oriented", we will equip existing services with the wings of AI, develop interactive dialogue service platform iota Cai and enterprise instant messaging iota IM, help integrate various internal systems of the enterprise, including official documents, procurement, customer service, etc, and greatly improve the efficiency of internal employees of the enterprise Work efficiency Ruiyang Information has accelerated its investment in the field of artificial intelligence since 2013, and has demonstrated its RD technology capabilities in various fields such as natural language processing, machine learning, deep learning, and natural language understanding At this stage, achievements such as technical word extraction, automatic classification, recommendation systems, topic clustering, technical document transposition, text-based text search, picture-based picture search, and intelligent robots Chatbot have been developed Ruiyang Information deeply cultivates AI technology and automatically breaks down official documents with an accuracy of more than 90 "AI is mainly used in text and images" Wu Zhenming, deputy general manager of Ruiyang Information, further explained that the official document system and knowledge management system that Ruiyang Information is good at are prioritized for introduction and optimization Among them, the Taipei City Government complained in 1999 The number of cases to be handled every day is very large The process must be recorded, automatically divided into documents, and assigned to relevant processing units Through machine learning, the accuracy rate of automatic document classification has reached more than 90 Taipei City The automatic classification of government cases in 1999 can also achieve an accuracy of more than 85 He emphasized that Ruiyang Information will hone its AI technical capabilities from the beginning of the project so that it can add value to existing services In addition, the image part, such as trademarks, financial reports, orders, faxed forms, etc, are originally paper files If you have to convert each key into a text file, it will be time-consuming and time-consuming This is also a pain point in the financial industry, small and medium-sized enterprises and other industries Rui Through OCR text recognition processing and combined with RPA robotic process automation for image recognition, Yang Information can directly convert images into text and automatically store them into electronic files, which can speed up the processing speed of enterprises and help achieve Digitalization before transformation Ruiyang Information continues to deepen the use of AI technology to launch new automated and mobile services, such as launching the conversation service platform iota Cai and enterprise instant messaging iota IM, and entering the chat robot and enterprise IM instant messaging market iota Cai dialogue service platform provides more efficient IT services than mobile services Wu Zhenming said that iota Cai is a truly "enterprise-level" conversational service management platform that can quickly lead enterprises into the new technology application field of "conversational" services He explained that iota is a robot generator To conduct intelligent interactive QA, you need to design a dialogue script The robot designed with iota's assistance can be published to instant messaging software such as Line and Teams There are two types of users who use the conversation robot platform, one is for internal use of the enterprise the other is for external use of the enterprise Integrate independent systems within the enterprise to establish a people-oriented and friendly working environment Among them, for internal use within the enterprise, such as manufacturing internal systems can be integrated with ERP and MES systems through the iota platform For example, the internal business of the enterprise can simultaneously query ERP orders and MES product production status through a single interface Customer contact information on the CRM system only needs to be issued through the iota robot In addition, the company has internal systems such as official documents, procurement, leave, etc, all of which are independent, causing inconvenience to users Through the design of a conversational robot service platform, different system backends can be integrated at the same time to provide a "people-oriented" friendly working environment External use is intelligent customer service, including the financial industry, public sector, etc, which require a lot of customer service In the past, they used phone calls or emails Now, intelligent customer service robots can be used to directly reply or solve customer questions, greatly simplifying customer service manpower, and improve customer satisfaction The dialogue service platform iota Cai allows users to design dialogue interactive scripts, QA QA and natural language intent training through the GUI interface without writing programs IT staff can quickly integrate enterprise back-end systems Interface with robots to create diversified interactive promotions users can access various corporate information through a single human-machine interface in the "chat room" through conversations or clicks, and experience efficient IT operations The robot built through iota Cai uses natural language processing technology of intent analysis and intelligent question and answer to present the richest dialogue cards in the industry It has the most flexible process design and mock testing functions, and supports multi-department division of labor Cooperate to complete Chatbot services in various fieldsfunctions RD funds account for 13, and investment in AI technology research and development accounts for about 40 Ruiyang Information’s annual RD expenditure accounts for 13 of its revenue, of which 30-40 is invested in the research and development of AI-related technologies After the epidemic, considering the increasing demand for WFH Work from home, it will continue to move towards Chatbot, mobile and cloud-based development, such as instant messaging, platform and video conferencing integration value-added, video conference text narration processing and archiving and other smart assistant functions, can provide related services from chatting, discussion, meeting, etc In the process of developing AI technology and services, Wu Zhenming pointed out that due to the varying degrees of digitalization of Taiwanese enterprises, it is difficult to collect data, and in an environment where the establishment of information systems is not mature enough, there are certain obstacles to introducing AI Ruiyang Information We will continue to deepen natural language processing technology and strive to provide a simple and easy-to-use dialogue platform to assist the smooth transformation of the industry As for the overview of Ruiyang Information’s overseas layout, Ruiyang Information stated that the products and services deployed in overseas markets include cloud and enterprise e-ization Among them, knowledge management KM, which has the largest market share, has expanded to mainland China There are 20-30 top tertiary hospitals, and cloud services are also widely distributed to Asian countries such as mainland China, Hong Kong, Japan, Thailand, Malaysia, Vietnam, and Mexico, South Africa and other places Product design tends to be modular, API and multi-lingual In the future, it will Continue to improve and optimize natural language processing technology, integrate it into other corporate backend systems, provide integrated one-stop text services, and expand the territory of overseas markets iota_Cai dialogue service platform can integrate various information systems and machines to improve business operation efficiency「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】谷林運算GoodLinker企業雲端戰情室 中小企業轉型最佳幫手
【2021 Solutions】 GoodLinker Cloud of War Room: The best helper for digital transformation of SMEs

The first difficulty that small and medium enterprise SME owners face in the digital transformation process is the purchase of hardware and software equipment, such as sensors and cloud servers, which requires considerable investment In addition, the equipment will require dedicated personnel for maintenance and management after purchase, which has discouraged many business owners from undertaking digital transformation GoodLinker targets this pain point of SMEs when going through transformation and is committed to helping every factory benefit from smart manufacturing It helps SMEs undergo digital transformation at low cost and without the need for professional talents Founded in 2018, GoodLinker is a startup that focuses on AIoT technology The RampD team used international public cloud service platforms to develop the "GoodLinker Cloud of War Room" SaaS subscription service, which can quickly visualize data on the operations of production line machinery, helping companies monitor the status of factory production lines at anytime and anywhere Data is the foundation of AI, and carbon reduction requires an inventory to be taken first The key to the transformation of these enterprises is the digitization of production lines and data collection infrastructure Digital transformation not only contributes to the success of factories, but also facilitates the upgrading of the overall manufacturing industry chain Targeting SMEs with 200 employees Hui-Yi Feng, founder and president of GoodLinker, specializes in electric machinery Before he founded the company, he worked for a well-known international mobile device OEM company and is familiar with the operation of Industry 40 He found that companies implementing Industry 40 were mostly large enterprises with more than 500 employees Meanwhile, 97 of Taiwan's SMEs need easy-to-use cloud monitoring tools to take the first step in digital operations Therefore, Hui-Yi Feng founded GoodLinker after returning to Taiwan in 2018, and offered smart manufacturing solutions specifically for SMEs in traditional industries with less than 200 employees Cloud of War Room Operations GoodLinker uses the concept of a cloud platform to build module tools and import them into the war room Enterprises only need to use smart manufacturing set-top boxes BCS-M100 to save labor and maintenance costs They can start using the "GoodLinker Cloud of War Room" without needing to set up their own hosts and maintain computer rooms Companies can overview the operating status of production lines in their factories through the mobile app or webpage If there is an abnormal situation, the Cloud of War Room will actively issue a warning to remind the person in charge to take emergency response measures This improves quality and management efficiency There are web and mobile version service interfaces to achieve paperless, digital, and visual production data Enterprises do not need to build their own computer rooms and maintenance teams, which lowers the threshold for realizing IoT, ESG energy consumption monitoring, and carbon inventory applications At present, more than 80 of GoodLinker's customer base are SMEs with less than 50 employees The company mainly communicates with second generation business owners or factory directors, covering manufacturing, logistics, food processing, and high-density farming industries The companies all achieved good results after using Cloud of War Room For example, farmers who raise tens of thousands of grass shrimps in Tainan needed to manually inspect the water temperature, water quality, and oxygen content in the past Using GoodLinker's Cloud of War Room service, farmers only need handle matters when they receive a signal of abnormal water quality on their mobile app, and no longer need to monitor the shrimp pond day and night Another example is a well-known pork ball manufacturer in Hsinchu The food processing process must be carried out in a low-temperature sterile environment, and the temperature of meat products is strictly monitored The Cloud of War Room can provide non-contact temperature monitoring to ensure that meat is fresh and contamination free, while strictly monitoring whether on-site employees are following standard operating procedures SOPs The data can also provide production history records for supply chain quality control required by distributors, in order to ensure stable quality and peace of mind for consumers Factory directors only need to use the mobile app or website to gain an overview of the operating status of production lines through the Cloud of War Room Participation in the AI New Talent Selection Shortens development time The core technology of GoodLinker is smart manufacturing set-top boxes The company has participated in the "AI New Talent Selection" of the Ministry of Economic Affairs Industrial Development Bureau's AI program for two consecutive years, and has won the favor of many major industrial computer edge computing hardware manufacturers It rapidly developed products with its technology through technical cooperation, shortening development time, launching software and hardware integrating AIoT services, and applying AI to more efficient industrial data collection from production lines The core technology of GoodLinker is the smart manufacturing set-top box At the same time, it will deepen technologies and optimize products and services Future development direction At present, in addition to being a strategic partner of global public cloud service providers, GoodLinker has also become a smart manufacturing service partner of telecom carriers in Taiwan, jointly providing smart factory services through Cloud of War Room In terms of the company's future business strategy, it will provide more data value-added services in the short term and introduce GenAI technology to further improve internal management efficiency and data interpretation, so as to gain insights into feasible strategies for users In the medium and long term, the company will integrate more upstream and downstream suppliers to create a "smart manufacturing service ecosystem" to further help SMEs solve their pain points, successfully upgrade, and achieve a resilient green supply chain

【解決方案】專攻智慧醫療市場 開源智造跟上百位醫生「搏感情」
【2021 Solutions】 Specializing in the smart medical market, Kaiyuan Intelligent Manufacturing and hundreds of doctors "struggle for feelings"

The rapid advancement of artificial intelligence AI technology and the new coronavirus pneumonia Covid-19 epidemic have catalyzed the vigorous development of smart medical care Kaiyuan Intelligent Manufacturing Company, which is committed to the research and development of Open AI, focuses on the development of the smart medical market The company spent two years I visited doctors one by one over the course of a year, "struggled emotionally" with hundreds of doctors, and compiled a "Smart Medical Question Bank", which is like an AI martial arts guide in the medical field All medical and engineering-related questions can be found in this book answer Establishing a common language with doctors can help break into the development of the medical field According to the definition of the World Health Organization WHO, smart medicine is an extension of digital medicine It is the application of information and communication ICT technology in the medical and health fields Its scope includes medical health information, personal medicine, telemedicine and Care, mobile medicine, wearable devices, etc The growth potential of the global SaMD market is amazing, and major technology companies are rushing in Among them, the SaMD Software as a Medical Device market is expected to grow at a compound annual growth rate of 6930 during the forecast period from 2019 to 2026 Due to the endless market potential, world-class industrial and information communication companies are actively rushing to enter However, the barriers to entry in the medical industry are not low How to talk to doctors has become the first problem Open AI Fab, founded in May 2019, is a consistent winner of the AI GO "Industrial Problem-Producing, Innovative Problem-Solving" and AI HUB AI New Talent Selection Competitions in the AI Program of the Industrial Bureau of the Ministry of Economic Affairs Huang Mingshi, founder and CEO of Kaiyuan Intelligent Manufacturing, said that the company continues to accumulate experience through projects and competitions In the field of smart medical care, "doctors" are important and key figures Kaiyuan Intelligent Manufacturing not only recruits emergency room doctors to serve as medical directors , as a bridge of communication with the medical community, the company team visited hundreds of doctors in two years to understand the needs and enter the huge market of smart medical care "Doctors are very smart and their time is precious Answering his questions quickly and accurately in a short period of time and building mutual trust are important keys to whether the two parties can have substantial cooperation" Huang Mingshi further emphasized that doctors also have a strong interest in AI There is unlimited imagination However, AI technology that uses deep learning requires doctors’ annotation If doctors cannot assist in annotation, AI will be of no use The first step in establishing communication with doctors is to establish appropriate expectations for AI Through cooperation with Northern Medical Center and Southern Medical Center, Kaiyuan Intelligent Manufacturing has two relatively mature medical AI services "Da Vinci Surgery Organ Identification Solution" and "Heart Failure and Structural Abnormality Solution" The Da Vinci surgical organ recognition solution uploads Da Vinci surgical video files Doctors can choose the images they want to recognize, and the AI model will identify different organs, nerves, blood vessels, etc from all the images together Da Vinci image recognition AI can be applied to obstetrics and gynecology or otolaryngology Da Vinci image recognition AI was originally used in obstetrics and gynecology The open source intelligent manufacturing team spent more than half a year adjusting the model of Da Vinci organ image recognition in obstetrics and gynecology around the clock, and then found UNET AI from Open Source open source code Model, a large number of model optimizations have been carried out At this stage, four of the eight human organs can achieve an accuracy of 85 For this year’s AI GO competition, Kaiyuan Intelligent Manufacturing also assisted the Department of Otolaryngology at the Central Medical Center to establish Da Vinci organ image recognition In just one month, from the initial discussion, data collection, data annotation, and AI model creation , and finally obtained empirical results, gradually shortening the learning curve through the process of customizing AI The time taken by AI to calculate cardiac ejection fraction is shortened from 20 minutes to "seconds" In addition, solutions for heart failure and structural abnormalities will become the first step in the productization of open source intelligent manufacturing AI Huang Mingshi said that when the cardiac surgery department of Southern Medical Center performs cardiac catheterization on patients, doctors also need to take left ventricular photography After injecting the contrast agent into the patient, the doctor can draw the outline of the heart through the diastolic and systolic images of the heart at different times , and calculate the cardiac ejection fraction There are two shortcomings in the traditional method First, drawing and labeling require a lot of time for doctors Second, doctors use manual drawing to calculate the cardiac ejection fraction The standards are inconsistent, resulting in the lack of objective standards The solution for heart failure and structural abnormalities through deep automatic learning technology not only shortens the time for doctors to draw the outline of the heart and calculate the cardiac ejection fraction from 20 minutes to "seconds", it can also help doctors analyze the ventricles abnormal conditions, and establish an early warning platform for heart failure and structural abnormalities Heart failure and structural abnormality solutions will become the first step in the productization of open source intelligent manufacturing AI In the process of communicating with doctors, Huang Mingshi found that the biggest difficulty for doctors is to obtain and label cases after de-identification, which takes a lot of time Taking the left ventricular photographic film as an example, a patient In a two-minute video, there are 30 photos that need to be annotated in one second The number of photos that need to be annotated in two minutes is as high as 3,600 photos It takes a lot of time for just one patient, not to mention that a doctor may have dozens of patients bit, it takes more time In addition to collecting questions and answers from interviews with hundreds of doctors and establishing a question bank, Kaiyuan Intelligent Manufacturing also trains engineers and data scientists to learn data annotation by doctors After repeated confirmation with doctors, the main data annotation work at this stage can be left to engineers Practical solution to doctors’ problems In smart medical care, due to different departments, racial differences, different conditions of each patient, and different hospital needs, it is difficult to produce a universal and standardized AI model in the short term, and customization is the best way Kaiyuan Intelligent Manufacturing adopts the Open AI method to shorten part of the development time and focuses on technological breakthroughs in customized AI model construction The developed AI modules can extend their application fields, which is also one of the company's competitive advantages Medical devices are independent from pharmaceutical affairs laws and obtaining medical device software certification is the top priority In order to develop Taiwan's smart medical industry, the Food and Drug Administration TFDA of the Ministry of Health and Welfare passed the "Medical Device Management Act" in December 2019, which will separate the management of medical devices from the "Pharmaceutical Affairs Act" and will be implemented in May 2021 It will come into effect on January 1st Medical device software SaMD requires product developers to obtain license approval from local competent authorities before it can be sold in local medical channels Therefore, Kaiyuan Intelligent Manufacturing will prioritize obtaining SaMD licenses in the United States and Taiwan Huang Mingshi pointed out that Kaiyuan Intelligent Manufacturing just received angel round financing in 2020, and it is expected to complete the Pre-A round of financing by the end of March 2022, which will be used as funds for the next year and a half At the same time, we also plan to obtain the second-level medical device software certification from the Food and Drug Administration of the Ministry of Health and Welfare within 2 years, and complete the smart medical AI product development plan strives to introduce practical applications and make smart medical care practical and popular Huang Mingshi, founder and CEO of Kaiyuan Intelligent Manufacturing「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】致力於建立數據的超級市場 麟數據科技用實力讓品牌主買單
【2021 Solutions】 Committed to building a data supermarket, Lin Data Technology uses its strength to make brand owners pay the bill

"Just like many pork stalls in traditional markets, you can buy pork everywhere However, different ways of processing and cooking will produce different delicacies" LnData has been deeply involved in data processing and application for many years President Xie Peifang explained in a simple way the advantages of Lin Data Technology when everyone is striving for "data" business opportunities Data is known as the "black gold of the new era" and is as important as crude oil With the advancement of technology and digital technology, the amount of data obtained by enterprises is growing rapidly How to refine oil into gold depends on experience, technology and the trust of brand owners Focus on first-party databases and establish sales communication intensity indicators Founded in 2016, Lin Data Technology specializes in data technology, provides diversified and innovative software services SaaS, and plays the role of an independent third party in the market Through diversified and advanced various types of data collection and The serial connection service assists enterprises in data collection, data cleaning, data management and final data application, using the most authentic and complete data in every business decision-making to gain market opportunities Xie Peifang, Chief Strategy Officer of Lin Data Technology LnData Xie Peifang said that the original intention of the company was to establish a third-party advertising effectiveness monitoring unit Since it is difficult to evaluate the brand owner’s advertising budget investment and effectiveness, in addition to the authenticity of the traffic, it is difficult to verify which placements are actually exposed, the audiences reached, etc Detailed information is often vague, so an impartial third party must monitor it to be fair, impartial, and transparent At the same time, we help brand owners to use digital marketing not only to achieve last-mile conversion, but also to achieve brand exposure and completely establish the consumer purchase journey However, since the fees for third-party advertising monitoring must be included in the overall advertising budget, and the media does not want to be monitored, the overall Taiwanese market acceptance is still not high Therefore, Lin Data Technology has turned to establishing a "first-party database" for brand owners ” is the focus of development SaaS products connect all consumer touch points and establish a first-party brand database The first-party database refers to the relevant data of brand owners in various marketing channels or digital content, as well as nodes that interact with consumers, collected through the unique crawling capabilities of Lin Data Technology, and then analyzed using artificial intelligence Process and generate sales communication intensity indicators Brand companies can use this indicator to understand the degree of discussion of their products in consumer groups, make corresponding corporate decision-making suggestions, and produce user behavior pattern analysis based on artificial intelligence Xie Peifang said that the first-party database will also be connected to the brand owner’s CRM system Through Lin Data’s technology, a brand data hub Brand Data Hub tailored for the brand owner can not only effectively track and connect each A consumer touchpoint data helps brand owners to interact meaningfully with consumers anytime and anywhere, and can also identify Key Opinion Consumers KOC who are loud and iconic in the community and are willing to speak out for the brand , become a brand ambassador, and through "mission" activities, increase member stickiness and diffusion, turn consumers into "brand groups", and truly achieve the purpose of precise marketing CRM combines Unified ID to track and understand the consumer journey Currently, Lindata Technology’s customer base is distributed in beauty, beverage, automobile, banking and other industries Through the customer relationship management system CRM combined with the function of the community, each consumer is marked with an ID, and the intention and behavior of consumers at various touch points such as web pages, advertisements, communities, and e-commerce are instantly grasped, and the customer's intentions and behaviors are provided The best marketing strategies for brands "In the past, brand owners' CRM systems were mostly created using Excel tables, which was labor-intensive Moreover, brand owners often spent 200,000-300,000 yuan to find KOLs Key Opinion Leaders, but they couldn't find them "Effect", Xie Peifang said that by using Lindata's SaaS service to digitize the data, it can not only establish and accumulate a membership database, but also find more than 100 loyal and high-volume consumers at once, accumulating the comprehensive benefits of the above consumers to the brand , far more than a KOL, of course the brand owner is willing to pay the bill At the same time, as the number of KOC increases, the voice meter of the online community continues to grow After establishing the database, there are three major benefits 1 Quantitative data on member influence are available for reference 2 The system accumulates the results of all members’ tasks In the past, a lot of manpower was spent on statistics, but now it can be solved with digital tools 3 The brand’s reputation and number of shares on the community will continue to increase, forming a positive cycle Xie Peifang said that when promoting data technology services, the biggest difficulty is that the amount of data needs to be accumulated for about six months to a year before truly meaningful analysis can be seen The specific approach is to first interview customers to clarify the data collection strategies and channels And she also admitted that what is really useful is CRM data Accumulated data without interactive information is dead and of no use Establishing a data middle platform as the ultimate goal and becoming a data supermarket AI technology is used to classify and group complex data from multiple channels, capture different data characteristics, and manage them with labels naturally generated by AI The actual work process is all the pipelines for data entry must be planned first, followed by cleaning the data This part is the most difficult After cleaning, labeling, classification and explicitness are started, and continuous optimization is started, and then it is packaged as a marketing tool Application of activities Cross-channel data concatenation and accumulation to strengthen brand database application Xie Peifang said that Lin Data Technology will continue to deepen the accumulation and application of first-party data from brand owners in the short term That is, from the customer's perspective, we develop SaaS services for all consumer journey nodes The solutions range from network monitoring, advertising monitoring, APP optimization, and consumer inquiry systems to dividing the services into independent SaaS tools and Focusing on consumers, we integrate all data to help brand owners better understand consumers The second stage is to develop a data market Data Marketplace After obtaining the consent of consumers, the data obtained will be de-personalized, such as different databases of investors with the same investment attributes, women in confinement, characteristics of diabetic patients, etc Exchange or cross-industry cooperation is possible In the final stage, Lin Data hopes to help brand owners build a "data middle platform" to quickly integrate brand data assets, exchange data in a safe, clean and trustworthy environment, and create a data supermarket In fact, there are more and more data markets in Taiwan, each with the ability to collect different data Xie Peifang adopts an open attitude and believes that whichever one is useful to brand owners is a good data market "Just like meat can be bought everywhere, but the methods of processing the meat are different and the taste is different This is the skill of the chef" This is Xie Peifang's most appropriate metaphor for the data market Lin Data Technology Company Team Note The core idea of the so-called "data middle platform" is data sharing Through organizational adjustment, data warehousing, data synchronization and other technical methods, a middle platform that uniformly manages data sources and applications is designed to support internal uploads Hundreds of business applications to avoid problems such as repeated construction and incomplete definition of data indicators

【解決方案】慧穩科技Domain AI SaaS 幫助產業導入AI開箱即用
【2021 Solutions】 Wisdom Stabil Tech's Domain AI SaaS Enables Industry-Ready AI Application

From AI projects to AI products, Wisdom Stabil Tech has spent five years on this journey With experience in implementing AI across more than 10 fields and 30 enterprises, Wisdom Stabil Tech has developed the Domain AI SaaS platform to help companies rapidly integrate AI technology, saving an estimated 50 or more in time Founded in 2016, Wisdom Stabil Tech provides AI image recognition solutions for smart factories Their Domain AI SaaS platform assists clients in data cleansing, tagging, AI training, modeling, and the integration of hardware and software, leveraging the latest AI algorithms for practical implementation Five years of refining project experience has honed Wisdom Stabil Tech's AI products The general manager of Wisdom Stabil Tech, Lin Gengcheng, said that the company has extensive on-the-ground AI experience in fields as diverse as golf, textiles, petrochemicals, semiconductors, and water resources, with numerous application cases accumulated 慧穩科技累積豐富AI專案經驗,推出Domain AI SaaS平台。圖為平台系統架構圖。 He analyzed that there are three major pain points to successful AI implementation in the industry Pain point one, talent shortage From traditional industries to high-tech semiconductor businesses, it's extremely challenging to find dedicated AI technicians with domain expertise, especially in traditional industries and SMEs Instead of spending time looking for AI talent, it's more effective to use existing AI platforms that require no coding This allows domain experts to use, operate, and maintain AI, addressing the current shortage of tech talent Pain point two, difficulty assessing implementation results According to reports, the success rate of AI implementation isn't high, with only about 5 of international AI implementations creating significant value Wisdom Stabil Tech also finds that their AI implementation success rate is about 5 to 10 Lin Gengcheng analyzed that a major difficulty lies in the process of implementing AI, which requires defining the problem, understanding domain knowledge, applying AI models, and combining systematic integration Generating business value through these steps requires extensive interdisciplinary integration and is exceedingly challenging, necessitating significant time and human resources Pain point three, cost Whether it's the introduction of talent, time, or the integration of domain knowledge with AI, the processes demand substantial time This leads to directionless investments and ever-increasing intangible costs If AI hardware is also factored in, the resulting financial burden makes it difficult to assess cost versus benefit To address the pain points of AI adoption in industries, Wisdom Stabil Tech will assist enterprises in utilizing AI to solve process or production line challenges with their proven AI models, creating standardized AI SaaS to tackle common domain issues For individual or custom needs of enterprises, adjustments will be made based on this standardized base Currently, Wisdom Stabil Tech offers two primary services the Optical Inspection AI SaaS platform and the Smart Water Management AI SaaS platform, both of which are easy to monitor and maintain, enabling companies to introduce AI technology in a cost-effective and efficient manner 企業導入Domain AI SaaS產生成本下降、效率提升等具體成效 In the realm of optical inspection, using the Domain AI SaaS platform can lead to a 10x increase in quality and a reduction in labor costs by 50 In the smart water management sector, it can achieve a 20 improvement in energy optimization For instance, in the textile industry, where manual inspections traditionally detect defects at a rate of 80-90, the introduction of AI optical inspection technology can increase this rate to over 95 This not only significantly enhances the defect detection rate by 10 but also halves labor costs 舉例而言,紡織業瑕疵檢測過往採用人工全檢的過程中,通常檢出率在80-90之間,導入AI光學檢測技術之後,檢出率可以提升到95以上。之後再透過人工進行複檢或抽檢,不僅可大幅提升10的瑕疵檢出率,還可節省將近一半的人力,效益十分可觀。 Furthermore, in wastewater treatment plants that traditionally observe water quality samples managed by experienced technicians manually adjusting equipment, AI can optimize motor and equipment output based on monitoring data, maintaining water quality within specified standards and potentially saving over 20 in energy costs This is essential for municipal wastewater plants and water utilities needing smart water management platforms to monitor treatment processes Lin Gengcheng honestly mentioned that AI is not a cure-all and can act as a 'revealing mirror,' exposing issues previously overlooked by manual processes Thus, defining the problems with clients and adjusting how results are verified is critical With ambitions on the Southeast Asian market, Wisdom Stabil Tech estimates achieving an IPO in 5 years Lin Gengcheng also stated that AI technology needs continuous refinement At present, the goal is to not overly rely on massive data for effective AI learning Combining traditional algorithms with current AI technology offers the best solution before comprehensive AI advancements emerge Besides promoting domestic industry applications, Wisdom Stabil Tech plans to expand the Domain AI SaaS platform to Southeast Asia in 2022 They are currently active in Series A funding, aiming to further enhance the depth and breadth of the Domain AI SaaS They plan to conduct Series A or B rounds of funding with the goal of going public in about five years 慧穩科技團隊 慧穩科技創辦人兼總經理林耿呈「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】產學合作展成效 台科大人工智慧營運管理研究中心運用AI工協助企業數位轉型
【2021 Solutions】 Industry-university cooperation shows results. National Taiwan University of Science and Technology’s Artificial Intelligence Operations Management Research Center uses AI to assist enterprises in digital transformation.

In intelligent systems, AI plays a key role In addition to cultivating professional AI talents, the Artificial Intelligence Operations Management Research Center of the National Taiwan University of Science and Technology also actively conducts various project studies with enterprises to accelerate the implementation of industrial intelligence in Taiwan One of the cases uses artificial intelligence and machine learning methods to use quality information for maintenance prediction and planning, which greatly improves equipment reliability and product quality Using quality defect detection AOI technology can reduce the rate of missed defects Yu Wenhuang, director of the Artificial Intelligence Operations Management Research Center of the National Taiwan University of Science and Technology, observed that industry demand for AI is increasingly strong, and electronic manufacturing, finance, medical and other fields have greater development potential On the one hand, the above-mentioned industries have a high degree of informatization, and automation products Online technology and the digital environment are mature and have the conditions for the development of AI technology on the other hand, because the data required by the industrial environment has been retained, managed and used, it is easier to promote the application and solutions of AI technology when the concepts and data are available plan Quality defect detection AOI technology effectively reduces the wrong kill rate For example, in the field of smart manufacturing, the team of the National Taiwan University of Science and Technology's Artificial Intelligence Operations Management Research Center assisted Taiwan's major electronics manufacturers in constructing a production line equipment diagnostic system and building a sensing network architecture in the production line equipment at the manufacturing site to detect Measure and record the operating status of the machine Through big data analysis, a warning can be issued when an abnormality occurs on the machine to remind the manager to schedule maintenance We use the AOI quality defect detection process, combined with machine vision and deep learning technology, to detect defects in electronic parts and perform real-time control and monitoring to assist companies in developing automated optical inspection stations, surface defect algorithms, and management application functional services In the flexible printed circuit board FPC industry, quality defect detection technology is used for image identification, mainly for re-inspection after the initial inspection, and the original inspection results are designed to be re-inspected When doing defect detection, ordinary factories often believe that "they would rather kill a hundred by mistake than let one go" and adopt the most stringent testing standards With the current testing technology and process, it may cause excessive detection and waste the cost of good products The Artificial Intelligence Operations Management Research Center of National Taiwan University of Science and Technology focuses on smart manufacturing solutions Lecturer Professor Cao Yuzhong, director of the National Taiwan University of Science and Technology Artificial Intelligence Operations Management Research Center, said that the current flaw detection, AI model and algorithm construction and training of the National Taiwan University of Science and Technology Artificial Intelligence Operations Management Research Center have achieved preliminary results The center hopes to use images to The results of the identification can help companies quickly identify defects and quality status of products during the production process After that, the next stage can start from the source, how to optimize parameters, improve behavior in the production process, and assist the factory to optimize the process Better During the product production process, the parameters of the machine equipment can be used to analyze machine data abnormalities and summarize different patterns for future maintenance and quality management to provide reference for enterprises in the application field The epidemic is the biggest catalyst for digital transformation for enterprises Director Cao pointed out that the introduction of AI to promote digital transformation of enterprises is not necessarily just based on reducing costs or improving production efficiency, but must be based on the fundamental development goals and the essence of the problem Process analysis, thinking about how to use AI or ICT technology to serve and meet process and customer needs This process often requires breaking out of the existing framework to help companies reshape new operations and management models to effectively improve corporate performance Chair Professor Cao Yuzhong, Director of the Artificial Intelligence Operations Management Research Center of National Taiwan University of Science and Technology The biggest challenge for enterprises introducing AI improving customer trust In the process of expanding AI industry-university cooperation, Yu Wenhuang believes that the biggest challenge is to enhance the trust of enterprises in you For customers, a certain degree of trust is required before the Know-How of the production line can be communicated to you Share and tell you where the focus of business is In the absence of business trust, it is difficult for AI industry players to analyze the availability of processes and data Enterprises usually consider two key points when choosing AI cooperation partners 1 When cooperating with you, will the data and results be sold to others 2 Will the cost of customization be too high Although companies are less wary of academia, Director Yu still believes that gaining customer trust and jointly establishing sustainable AI innovation application capabilities and development goals are the key to The key factors for all ICT companies to face industrial customers and their ability to provide AI solutions Regarding the cultivation of AI talents, Yu Wenhuang also has his own unique insights He observed that the education system from junior high schools, high schools to universities has driven the trend of AI However, AI technology itself has many theoretical foundations and industrial knowledge that must be integrated When talking about AI talent cultivation, we should first define how to construct a talent development system or route in the AI field, what types of people are needed to introduce AI into the economic system, systematize talent positioning and characteristics, and let talents who are interested in investing in the AI industry understand how to use their own The goal measures the types of AI skills and jobs that can be developed Secondly, it is to help companies that want to promote AI in a systematic way to understand, whether it is developing applications or building technical teams, how to measure the talent needs and technical blueprint corresponding to business goals It not only plays the role of problem-solving, because AI It is just one of the ways to solve the problem Only by assisting enterprises to establish innovative consciousness with AI RD thinking can we truly implement industrial development, strengthen demand and promote both supply and demand at the same time, and accelerate the implementation of AI applications and talent cultivation NTUST Artificial Intelligence Operations Management Center provides a number of smart manufacturing solutions Regarding smart manufacturing solutions, the solutions provided by the Artificial Intelligence Operations Management Center of National Taiwan University of Science and Technology are as follows Intelligent predictive maintenance Adopting artificial intelligence and machine learning methods, using quality information for maintenance prediction and planning, greatly improving equipment reliability and product quality, establishing failure modes and reliability analysis based on different equipment operating characteristics, and using process control analysis to trace products Quality history helps on-site personnel eliminate operational abnormalities in a timely manner Smart dispatch and scheduling planning According to the characteristics of the industry, develop intelligent labor dispatch and scheduling algorithms to effectively shorten setup time and total working hours For example, for a variety of workpieces, the production schedule must meet conditions such as combined material preparation, group production, and specific process sequences From the group production of workpieces, the assignment of adapted production lines, to the multi-parallel single-machine scheduling that adjusts the production sequence of each production line under grouping, the optimization algorithm is introduced to design a complete smart schedule system Deep learning and automatic optical inspection Improve quality defect detection AOI technology, using machine vision and deep learning, which can detect flat and curved surfaces of metal electronic parts, and perform real-time control and monitoring, including automated optical inspection stations, metal AOI defect algorithms, and modular design and other application technologies The design elements of this algorithm 1 Automated optical inspection station 2 Metal AOI defect algorithm 3 Modular design Smart Situation Room Combined with high-end graphics card flexible assembly units, including processing machines, industrial robot arms, collaborative robot arms, engineering inspection stations and conveyor belts, a smart war room with digital twin technology is established The technical features include real-time monitoring, data integration, data Transparency and data visibility 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】不用寫程式就能導入AI 詠鋐智能將AI專案從180天縮短為3天
【2021 Solutions】 You can import AI without writing programs. Yonghong Intelligence shortened the AI ​​project from 180 days to 3 days.

Can AI be mass-produced How to mass-produce AI Chimes AI, a company established less than a year ago, has built enterprise-level No-Code AI to help Taiwan's heavyweight petrochemical plant monitor 400 machines of different brands and models in just three months Through the Tukey platform, the modeling speed is accelerated and customer-built algorithms are supported, reducing the execution time of the AI project from 180 days to 3 days As the name suggests, No-Code means developing application tools without writing any line of code The method of use is very simple through a graphical user interface , you can easily complete the abnormal monitoring task with simple operations such as click, drag, and menu Raise a virtual data scientist to introduce AI in the factory to quickly achieve the goalXie Zongzhen, CEO of Yonghong Intelligence, serves as a lecturer at the Taiwan Artificial Intelligence School, through the Tukey platform He has led corporate teams to build AI projects step by step The projects he has worked on cover petrochemical, textile, energy, telecommunications, finance, medical and other industries, and he has accumulated considerable experience Everyone who works on AI projects knows that when executing an AI project, the most difficult thing is "communication requirements" Engineers need to confirm the company's needs, communicate with the masters, define the problem, and then collect data , cleaning data, annotating, building AI models, etc It takes a lot of time and communication costs to go back and forth If you can use No-Code AI tools, it will be like raising a virtual data scientist in your own factory Data cleaning, modeling and deployment are all completed by domain experts who are familiar with factory-side operations, achieving rapid deployment of AI technology Successfully complete the transformation goal Use the Tukey tool to lead the corporate team step by step in building AI projects Dr Xie Zongzhen said that the specific method of Tukey tool is that after field experts collect the on-site data into a machine-readable format, they feed it to the No-Code AI software Data cleaning and data modeling are performed in the software After confirming that the modeling effect is satisfactory, it is encapsulated into an API of the AI model and connected to the BI Business Intelligence dashboard To put it simply, the available data is entered into No-Code AI for analysis, and the analyzed modules are automatically packaged and then thrown to the war situation board, whether it is equipment performance abnormality warning, process Energy-saving suggestions or raw material product supply and demand assessments can all be used as references for decision-making The petrochemical plant completed abnormal detection of 400 machines in 3 months and increased the accuracy by 5For example, the global petrochemical giant Formosa Plastics Corporation There are dozens of factories in Taiwan If the AI projects had to be completed one by one, one equipment and one model would take about 180 days Not only is it time-consuming and labor-intensive, but it is also slower and slower in terms of efficiency The Tukey tool was used to build an AI model, and 15 senior equipment maintenance engineers on site conducted data modeling In just three months, abnormal monitoring of 400 machines, including machines of different brands and models, was completed Compressors, rotating fans, condensersetc The most important thing is that after the introduction, the availability rate of the equipment is increased by nearly 5, which is not only better than entrusting professional AI engineers, but also greatly improves the construction speed Friendly interface design, you can easily complete abnormal monitoring tasks through simple operations such as click, drag and drop, and menu Fan Wenxuan, associate director of Yonghong Intelligent Marketing, pointed out that Turkey’s greatest value to enterprises has two points First, it is a simple and fast development tool that allows enterprises to Internal concepts can be quickly verified Generally, AI projects take 6-12 months, but using Tukey can be completed in just 3 days Second, it is a flexible management tool to complete the AI model It allows enterprises to simply use it in the production production, sales sales, human resources human resources, development research and development, and finance finance of the company management, and is not limited to the manufacturing production line And can be integrated with existing systems such as ERP Xie Zongzhen also emphasized that there are many AI solutions For enterprises, it is a chore to introduce so many systems at once If they can choose a stable working platform, they can be centralized Therefore, Tukey's positioning is the concept of "microservices" The biggest difference from traditional AI projects is that the price of the project is high, which means that it can only solve problems with high commercial value However, there are many complex problems within the enterprise, which business and administrative units have to face every day, and cannot be solved by a project approach In this case, Tukey is a good method of "agile development" No-Code AI significantly reduces the threshold for non-IT personnel to enter AI applicationsTukey has the function of model retraining and adjustment When the enterprise's business strategy changes , new data must be accumulated When the new data is accumulated, it can be fed to the same Tukey project to perform the data analysis process "Cut the workflow into segments, similar to the concept of card swapping" Xie Zongzhen emphasized that as long as Change the original data of the first workflow and replace it with the new one The original data cleaning, modeling, parameter setting, model export and other processes will be completed in sequence The model is used to monitor whether on-site equipment is abnormal When the monitoring model is set, it is the peak state of the equipment After monitoring for a long time, the equipment will age, the equipment will age, and the original old model will also crack and decline Therefore, the model needs Retrain every six months Xie Zongzhen believes that No-Code AI is a solution that significantly lowers the threshold for non-IT people to enter AI applications How to make people on site willing to use it must create incentives to improve their work efficiency, prompting more cases to appear, such as customer service centers It can be used to develop potential sales lists Tukey can be used to generate 120 accurate e-marketing lists from 2,000 lists, reducing the erroneous marketing strategy of shooting at random At this stage, companies still view AI solutions in terms of one-off projects In fact, the performance of AI models is often related to data quality and data distribution trends When the operating model changes for example, process upgrading and downsizing, equipment updates, data drift occurs, and the performance of the original AI model declines This A rolling correction is required Therefore, the greatest benefits can be achieved by using No-Code AI tools and allowing the professional team most familiar with the business situation to monitor and update the AI model on their own In the future, Yonghong Intelligence will continue to accumulate application cases and cooperate with SI Company, and is expected to promote Tukey tools to overseas markets Xie Zongzhen left, chief executive of Yonghui Intelligent and sales associate Fan Wenxuan 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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