Special Cases

06
2021.10
【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
【2022 Solutions】 Xiaoshi Intelligent Inspection uses the two swords of "AOI + AI" to combine software and hardware to open up the two channels of appearance defect detection and supervision.

Quality inspection, like a double-edged sword, has always been a favorite and painful subject for Taiwanese manufacturers When AI deep learning enters the industrial visual inspection of traditional manufacturing industries, it can not only save inspection manpower investment, solve the problem of inconsistent manual visual standards, overcome the limited visual recognition and defect detection blind spots of traditional automatic optical inspection AOI, and also enable real-time traceability Causes of quality problems The overall AIAOI visual inspection solution developed by Xiaoshi Intelligent Inspection integrates software and hardware to create efficient appearance defect detection capabilities, helping electronics OEM customers create high-efficiency products with a miss detection rate of less than 1 and an overkill rate of less than 3 Check the level Xiaoshi Intelligent Inspection was established in 2020 Although it is a new venture two years ago, it did not start from scratch Founder and CEO Hong Peijun and the core team have been deeply involved in Foxconn factories for many years and participated in countless smart factory-related solutions and process improvements , has profound AI deep learning development capabilities, and accumulated rich experience in world-class AI application implementation Seeing that AI industrial inspection must be the last mile for the manufacturing industry to move towards Industry 40, Hong Peijun resolutely decided to implement AI deep learning technology in the field of smart manufacturing with high output value, and specialized in the development of AI industrial visual inspection For the manufacturing industry, product inspection is the most important part of all quality control, but traditional industrial inspection faces two major pain points 1 Manual visual inspection Today, more than 95 of the entire manufacturing industry still relies on manual visual inspection Inspection makes it difficult for manual visual quality inspection standards to be consistent, and visual inspection of fine objects, such as passive components or highly reflective components, will cause long-term vision damage 2 Traditional AOI automatic optical inspection The product has limited visual recognition capabilities and blind spots in defect detection Among them, the detection of appearance defects such as scratches, oil stains, dirt or hair and other unexpected subtle defects has always been a problem in AOI applications Insurmountable difficulties AIAOI visual inspection overall solution is a great boon for appearance defect detection When designing the product roadmap of Xiaoshi Zhikan, customer group positioning and strengthening customer product services and value were important indicators Moreover, appearance defect detection has always been an unresolved pain in the manufacturing industry, Hong Peijun said With industrial quality inspection AI software as the core, Xiaoshi Intelligent Inspection provides an overall solution for AIAOI visual inspection It mainly promotes three major products, including "QVI-T AI deep learning inspection modeling platform software" and "AI six-sided defect inspection and screening machine" ” and “AI Industrial Quality Inspection Platform” The main customer groups served are semiconductor packaging and testing, EMS electronics foundry, small metal parts processing and other industries with high production capacity and high gross profit margin In response to customer needs, Xiaoshi Intelligent Inspection provides corresponding software and hardware services, combining self-developed AI deep learning software and hardware quality inspection equipment to reduce the manual visual burden on the production line and effectively improve the production quality of the factory In order to help equipment manufacturers and technical engineers with development capabilities accurately grasp product appearance defect detection, Xiaoshi Intelligent Inspection independently developed QVI-T deep learning detection software, which can provide customers with defect location, defect classification, defect segmentation, anomaly detection and text recognition Key functions such as this are different from the fixed detection methods of traditional software Algorithms can be refined based on different industrial detection methods and different APIs can be developed to connect devices with different lenses The software design of this platform is very lightweight It is a SaaS software built on public cloudprivate cloud It mainly involves simple image uploading, labeling, training modeling, and verification testing After completion, users can download models, SDKs, APIs, and reports Effectively help customers achieve AI inference functions Currently, most of the industrial inspection services on the market are traditional AOI software industrial inspection machines, which can only measure product contours such as the head and length of fasteners, etc, and cannot truly provide detection of subtle product surface defects such as screw head cracks and tooth damage There is a lack of such high-precision defect detection companies in the market, Hong Peijun observed Xiaoshi Intelligent Inspection developed and independently built the "AI six-sided defect detection and screening machine" from customized services in the past to providing standardized services for customers at the current stage It provides standardized testing services for fasteners in measurement and surface defects, as well as passive components High-speed surface defect detection of similar products This professional machine uses the AI deep learning AOI composite algorithm technology independently developed by Xiaoshi Intelligent Inspection Through parallel computing technology, it can achieve model inference up to 3 milliseconds per picture, and realize multiple complex defect detection on the electrodes and body of passive components This professional machine is mainly used for the inspection of fasteners, small metal parts and passive components In terms of competitiveness in the industry, the software hardware integration provided by the AI six-sided defect inspection and screening professional machine is an important core competitive advantage of Xiaoshi Intelligent Inspection It is not as simple as it sounds Hong Peijun said with emotion that this special machine is very important in the industrial inspection industry Commonly known as the highly integrated integration of optical mechanisms, electronic controls, software and algorithms, the process requires continuous optimization and iteration, and requires multiple client verifications and modifications After a long period of hard work, the technical threshold has also been raised The AI six-sided defect detection and screening professional machine will be the main product promotion direction of Xiaoshi Intelligent Inspection in the next 3-5 years It is believed that AI combined with measurement technology and surface defect detection will be an important source of core competitiveness of Xiaoshi Intelligent Inspection, Hong Peijun said AI six-sided defect detection and screening professional machine will be the main product promotion direction of Xiaoshi Intelligent Inspection in the next 3-5 years Faced with the booming development of Industry 40 in smart factories, customers often ask "Does quality inspection data have secondary use value" Hong Peijun said that the "AI Industrial Quality Inspection Platform" launched by Xiaoshi Intelligent Inspection has a machine learning mechanism , which can be used for secondary use of quality inspection data to provide customers with multiple functions including real-time monitoring and early warning of production quality, quality traceability analysis, quality factor assessment, process parameter prediction and recommendation Taking the successful introduction into the automotive parts factory as an example, through the prediction and recommendation of process parameters provided by the AI industrial quality inspection platform, when we know the product defects, we build a set of models based on the experience of past masters, coupled with the network connection data from the previous stage, After integration, we have process data, incoming material data, and quality inspection data We can predict whether these machine parameters have run out, and we can recommend whether the process parameters of certain sections should be adjusted up or down Through the AI industrial quality inspection platform, Xiaoshi Intelligent Inspection can help customers connect visual quality inspection results, process data and acceptance standards with the existing MES system of the customer's factory to improve production quality, improve efficiency and reduce costs In terms of business model, Xiaoshi Zhiqian also provides a software subscription system for the deep learning detection modeling platform software It provides public cloud customers with traffic subscription and charges based on the amount of image uploads, while private cloud customers adopt an annual license fee license charging mechanism In addition, the company also provides customers with a buyout charging mechanism for the overall solution equipment, and provides a one-year warranty, after which consumables and software update maintenance fees are charged annually Going in the opposite direction, using both hard and soft methods, with a missed detection rate of less than 1 and rapid modeling in 15 minutes Faced with various small-volume and multi-sample inspection needs in the manufacturing industry, general AI deep learning visual inspection usually requires customers to collect a large number of photos of defective products, which is time-consuming to label, and also causes customers to have difficulty in importing AI, and defective products cannot be collected The introduction cycle is long and implementation is full of risks If there are not enough bad samples, the model will be inaccurate Kosaki Chikan goes in the opposite direction and uses its product "AI Visual Inspection Model Development Tool" to train models through pictures of good products provided by customers It is relatively easy for AI to learn good products, no labeling is required, and the time can be quickly compressed to complete the modeling Take the implementation of IPC electronics industry - AAEON Technology as an example In order to reduce the manpower input of the quality inspection station in the PCBA production line and have standardized quality inspection, Xiaoshi Intelligent Inspection provides an overall solution for PCBA AI visual inspection software and hardware services, and conduct in-line inspection on the factory's highly automated assembly line, effectively saving inspection manpower investment, improving the standardization of quality inspection rates, and improving the problem of inconsistent standards caused by manual visual inspection Through the introduction of AI visual inspection software and hardware integrated solutions, we have effectively helped customers maintain an overkill rate of less than 3 in the past two years, and achieved high-efficiency performance with a missed detection rate of less than 1 In addition, this solution allows practitioners who do not understand AI to quickly operate modeling By installing the modeling tool on the device, when the customer has a new product number and needs to create a model, he only needs to provide 10 pictures of good products to scan under the device It only takes 15 minutes to quickly train the model In terms of product core strategic layout, compared with market competitors who rely solely on general software services to seize all manufacturing markets, it is not feasible to apply it to industrial inspection Hong Peijun has observed over the past 10 years and believes that only software hardware can With technical thresholds and focusing on one industry and field, only by adopting a standardized company's AI six-sided defect detection and screening special machine can it be replicated and scaled up, and the company can truly continue to move towards optimization and create product competitiveness, even if there are other competing products It’s not easy to compete for this pie, Hong Peijun said Xiaoshi Intelligent Inspection’s overall AIAOI visual inspection solution creates rapid modeling and excellent results for customers with a missed detection rate of less than 1 The most competitive AIAOI overall solution provider with global presence For new entrepreneurs, facing business expansion is a challenge every day Hong Peijun said that small companies are easily snatched away by large companies, company talents are poached by high salaries, lack of deep customer relationships, and the business team is not large enough, etc How to overcome this Hong Peijun believes that the key to success and competitiveness of a new start-up company is to be diligent in making up for mistakes, provide better services, provide more immediate feedback, and create more professional solutions to convince customers Since its establishment in 2020, Xiaoshi Intelligent Inspection has always gone against the grain in terms of product core strategic layout, surpassing the competitive market among its peers, and actively taking root in the overall solution of AI visual inspection software and hardware Hong Peijun hopes that Xiaoshi Intelligent Inspection will become the world's most competitive AIAOI overall solution provider for the electronics and semiconductor industries in the future, and provide the top AIAOI professional machines and equipment to the electronics and semiconductor industry customer base Hong Peijun said that the technical capabilities of the company's AI six-sided defect detection and screening professional machine have reached the top domestic level In order to speed up the research and development of professional machines to become more standardized and sell them to overseas markets, the company will conduct a fundraising plan at this stage, hoping to use legal persons such as the Capital Strategy Council to assist in more business connections and fundraising channels For the medium and long-term goals, Xiaoshi Intelligent Inspection will lay out the global market including mainland China and Southeast Asian countries At the same time, it will follow the international footsteps of major OEMs in global layout Under the target inspection project, it will continue to develop specialty products and spread towards the international field 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2022-09-01
【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
【2021 Solutions】 Exclusive Innovative AI Algorithm Miniaturization Patent: Mantuo Technology Assists in Bringing Large-Scale AI to the Cloud

With the Internet of Things, the demand for AI algorithms is becoming increasingly massive and complex The use of Edge AI, which can effectively reduce costs, enhance security, and improve execution efficiency, will become an inevitable trend Founded in 2018, Mantuo Technology's DeepMentor mainly provides miniaturized AI algorithm SaaS services It is a real solution provider on the market that can deploy AI algorithms running on cloud servers or GPU processors to the Edge Device level, maintaining an accuracy of over 99 while significantly reducing data movement and algorithm complexity Its exclusive and innovative Miniaturized Electronic Design Automation process MAT can shorten time, reduce costs, and still achieve an accuracy higher than 99, key for deploying cloud AI to Edge Devices Ten years of dedication, Mantuo Technology's miniaturization technology gains market attention After more than ten years of research and development in the laboratory, the founder of Mantuo Technology, Wu Xinyi, and his team's exclusive patent of the miniaturized electronic design automation process has resulted in over 20 international A-level papers and several awards including the Best Paper Award Mantuo Technology's technology has been recognized by the market, and in the past two years, it has won the 'Most Investment Worthy Award' at the 8th Yungu Cloud Leopard Incubation Demo Day and the 'Strongest System Innovation Award' with Chunghwa Telecom, as well as the '2021 G Camp International Link Award' and the 'YEZ International Accelerator Special Award' at the 5th 'International Innovation and Entrepreneurship Training Camp G Camp' organized by the Ministry of Economic Affairs in August 2021 滿拓科技獲得第八屆雲谷雲豹育成總決賽「最具投資價值獎」。圖左二為滿拓科技創辦人吳昕益。 AI algorithms are quite large mathematical models Mantuo Technology is focusing on future trends from the era of the Internet of Things IOT to the intelligent Internet of Things AIOT All kinds of terminal products will integrate AI to provide more powerful functions However, many AI algorithms are relatively complex and large, which cannot be integrated into existing terminal devices Therefore, Mantuo Technology developed an exclusive miniaturization technology MAT to optimize the algorithms, simplifying the complex algorithms so they can be incorporated into small embedded systems for easier interfacing with hardware equipment Indeed, what challenges do companies currently face when deploying Edge AI Mantuo Technology's Marketing Director, Yang Yuming, explains that in terms of hardware computation, the cost of GPUs is high, and due to power consumption and heat generation, they are not suitable for edge computing devices In terms of software, there is a lack of good solutions on the market, and most applications can only deploy lightweight simple AI models tiny AI, which are easily affected by climate or external environmental changes, significantly impacting accuracy Importantly, including major international manufacturers in their 2021 white papers, it is mentioned that accuracy can be immediately reduced by 5-15 during the compression process Mantuo Technology offers a complete Edge AI computing solution, with its exclusive and powerful miniaturization technology, which can reduce computational and data volume by 90 while keeping accuracy within 1, successfully deploying multiple complex professional million-parameter AI algorithms to edge devices Mantuo Technology's main customers target system manufacturers and software and hardware developers who want to upgrade IoT to AIoT Mantuo provides the DeepLogMarker software platform to help system vendors and developers quickly obtain miniaturized AI algorithms Through simple training and deployment, they can easily convert commercial IoT devices into AIoT products Yang Yuming stated that the company will launch the SaaS software platform service DeepLogMarker in the fourth quarter of 2021 The first phase will offer the nine most commonly used professional miniaturized AI algorithms, such as object recognition, posture detection, facial recognition, and age and gender algorithms, allowing customers to choose as needed Different AI functions can also be combined according to different usage requirements The platform adopts a subscription model, providing all AI developers, like engineers, startup teams, and device manufacturers, to download and use these algorithms SaaS platform services - simple subscription to use AI algorithms Specifically, customers only need to select the required algorithms on DeepLogMarker, and with a few steps, they can deploy the algorithms to the Edge AI hardware platform Customers do not need to spend a substantial amount of资金capital and time to build an AI environment, and even beginners in AI can directly access all kinds of AI applications needed on the DeepLogMarker platform Mantuo Technology provides professional AI models that have been miniaturized, allowing startup entrepreneurs and developers to subscribe to miniaturized AI algorithms and purchase the Edge AI box to interface with their IoT systems, thereby upgrading the IoT systems to AIoT systems Mantuo Technology is committed to becoming a SaaS software company in the Edge AI field By the end of 2021, it will provide a variety of Edge AI solutions and algorithms on the online platform, hoping to build a complete DeepLogMaker Edge AI user ecosystem Enterprises and cloud service providing platforms like Amazon AWS, Microsoft Azure, IC design companies, startups, and IoT device manufacturers can use the AI services from Mantuo Technology on the platform, to inspire various innovative applications, enhance AI value, and create business opportunities together 滿拓科技建構DeepLogMaker Edge AI使用者生態圈 At the same time, strategic partners with international SaaS operations experience are also welcome to join hands with Mantuo Technology Besides deepening the Taiwanese market, Mantuo Technology's services will also expand into East Asia and international markets such as the United States and Europe The ultimate aim is to significantly reduce the deployment cost of Edge AI, help in the widespread application of AI at a grassroots level, and broaden the applications of Edge AI in intelligent retail, smart manufacturing, smart home appliances, smart medical, and more Mantuo Technology believes that now is the best time for Taiwanese manufacturers to enter the Edge AI market Currently, major chip manufacturers such as NVIDIA, Intel, Qualcomm, NXP, and cloud leaders AWS, Google, Microsoft are all actively investing in this field If Taiwanese manufacturers want to break into the Edge AI market, considering the strengths of Taiwan's small and medium-sized enterprises, industrial manufacturing advantages, and government resources, unique value in software and hardware integration and technology is still the best leverage Finding the right entry point, Mantuo Technology hopes to become the key hub that connects international software giants' resources with Taiwan's hardware advantages Mantuo Technology's miniaturized algorithms enable Edge devices to perform more robust AI functions With the advent of the 5G era, the various AI intelligent application scenarios that everyone is looking forward to can truly materialize The current IoT products need to be fully upgraded 'Solving problems through system integration is solving problems from the root' Mantuo Technology's software and hardware integration solutions, including various AI silicon IP licensing and SaaS services, are expected to officially hit the market from the end of 2021 to early 2022, at which time the development of AI applications in Taiwan may show a different aspect Founder of Mantuo Technology, Wu Xinyi「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2021-08-26

Records of Solutions

【解決方案】一秒鐘了解全球新冠肺炎疫情 聊天機器人成為抗疫利器
【2020 Solutions】 Understand the global COVID-19 epidemic in one second. Chatbots become a weapon in the fight against the epidemic.

On January 23, 2020, Wuhan, the birthplace of the new coronavirus commonly known as Wuhan pneumonia, was closed On January 27, Taiwan’s first new coronavirus epidemic chatbot platform was established, providing immediate information to the government, NGOs and small and medium-sized enterprises with less than 30 people Free to use to stay informed Through the combination of APIs, information can be automatically updated to ensure that when users want to know information about the epidemic, they can obtain the latest and correct epidemic information, respond to the development of the epidemic early, and effectively reduce the spread of infection In order to combat the new coronavirus epidemic, software giant Microsoft Microsoft is currently working with the Centers for Disease Control and Prevention CDC and some large healthcare providers to deploy a chatbot to help In response to the COVID-19 virus, GoSky has also joined Facebook's global government cooperation program to provide chatbot construction services to assist government public health departments and other units in fighting the epidemic Global chatbot output value will reach US125 billion in 2025 GoSky has observed that many companies have also been greatly affected by the epidemic In order to prevent the epidemic, most people and companies have implemented home-based epidemic prevention and remote working policies Now that offline sales have dropped significantly, GoSky has independently expanded the epidemic prevention project to small and medium-sized enterprises with less than 30 employees According to a Grand View Research report, the global chatbot market will grow at a compound growth rate of 243 from 2017 to 2025, reaching an output value of US125 billion in 2025 In addition, according to estimates by Gartner, an international research consultancy, by 2021, more than 50 of companies will invest more in chatbots Chatbots than traditional apps each year Chatbot technology is becoming more and more mature, and GoSky believes that Chatbot is the next app Chatbot will be the next app Chat robot diagram GoSky, a technology company founded in March 2018, is the world's largest chat robot platform More than 46 of the world's chat robots are built on its platform, providing one-stop chat robots and digital marketing Weiquanlong, Yanik, Born Night Show, Uber Eats, etc are all its customers, and the service industry covers the news media, department store industry, express delivery industry, etc At the end of 2019, Wuhan pneumonia new coronavirus broke out in China The Taiwan government announced the establishment of a central epidemic command center at the end of December 2020 and screened overseas passengers GoSky realized that "the spread of epidemic information is faster than the spread of the epidemic, and there is an opportunity to significantly reduce the impact of the epidemic" After a quick discussion with the team, GoSky decided to use the technology and experience of making chatbots in the past to integrate Johns Hopkins University, USA The CSSE Center for Systems Science and Engineering at Hopkins University opened the source code of the Global Epidemic Information System, WHO, the US CDC, the Taiwan Disease Control and Prevention Agency and other agencies released epidemic data On January 27, 2020, the third day of the Lunar New Year, it took a day In the evening, we deployed ahead of schedule to complete the production of the Wuhan Pneumonia Chatbot Chatbot helps control the global epidemic GoSky Marketing Manager Jiang Yanzhou said that the Wuhan Pneumonia Chatbot initially has several functions 1 Real-time data on the global epidemic, including the number of confirmed, recovered, and dead people around the world statistics on the number of confirmed, recovered, and dead people in Taiwan 2 Combined with Google search engine , query real-time news related to Wuhan pneumonia, integrating the latest news from Wikipedia, BBC News Network, China Dragon TV and major domestic news channels 3 One-click dial 1922 epidemic prevention hotline, providing a more direct inquiry channel and providing users with faster Contact the Centers for Disease Control 4 Add it to the desktop with one click, allowing users to follow the development of the epidemic at any time without downloading or occupying mobile phone capacity In the past few weeks, if you want to track the current situation of the epidemic, you have to search through Google, Information can only be obtained by focusing on comprehensive comparisons of major news However, through this chat machine, users can grasp the latest situation anytime, anywhere and in real time, which has a positive impact on the public's understanding of the epidemic New Coronavirus Information Page In the second phase in early February, we joined in the promotion of public health knowledge and cooperated with ICU doctor Dr Chen Zhijin to make the correct knowledge about the use of masks into a lazy bag and added it to the chat robot to help the rapid dissemination of correct public health knowledge At the same time, a mask map was established After the government announced the real-name system for purchasing masks, the open database of the National Health Insurance Bureau was quickly integrated, and information from local health insurance cooperative pharmacies was made into a mask map function Users can click to check the county, city and region to see the real-time mask inventory status in the area Click the button below to open Google Map for users to check the location of the pharmacy for convenient purchase Jiang Yanzhou pointed out that the cloud update feature of the chatbot makes information collection and transmission faster Through the combination of APIs, information can be automatically updated to ensure that when users want to know information related to the epidemic, they can get it The latest and correct epidemic information can respond to the development of the epidemic early and effectively reduce the spread of infection Compared with previous apps, chatbots are built on social communication software There is no need to download additional mobile apps, which greatly reduces the entry barrier for users You can obtain chatbot services by clicking on the link or scanning the QR Code Correct information can also be integrated into the chatbot, allowing users to search at any time At a time when the epidemic information is abundant and complex, it can effectively reduce the impact of false news and ensure the effective delivery of correct information Solution Understand the global COVID-19 epidemic in one second, chatbots become a weapon in the fight against the epidemic New Coronavirus Global Epidemic Information Page NLP technology provides a better interactive experience GoSky is committed to NLP natural semantic analysis technology and builds a database to record user preferences Through machine learning, it understands each user's interaction mode, provides a better interactive process experience, and can also provide customized services for consumers personal service The basic functions of the chatbot are customer service and automatic replies It can share the workload of brand fan page managers editors and help consumers obtain relevant business information more quickly As the new coronavirus continues to spread, according to statistics released by Facebook, the number of messages in areas with severe epidemics has increased by 50 compared with the same period, and users' usage time has doubled This also means that offline During the extraordinary period of declining sales, consumers' demand for online information has increased Through chatbots, customer lists can be collected, allowing companies to better understand consumer preferences and related information, and helping companies quickly resume operations after the epidemic In the future, GoSky will take advantage of chat robots, integrate software and hardware equipment, and develop in the direction of AIoT It is estimated that AIoT products will be launched in mid-2020, so that chat robots will no longer be limited to mobile phone applications Chatbots built on Messenger, which do not occupy mobile phone capacity, are updated in the cloud, and have high opening rates, will be the focus of enterprise development GoSky will focus on the all-round application of chat robots and strive to create a mobile life application ecosystem GoSky team builds a chatbot for the new coronavirus epidemic 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】隨時量體溫、防趴趴走,AI助武漢病毒隔離一臂之力
【2020 Solutions】 Always Measure Temperature, Prevent Wandering, AI Helps with Wuhan Virus Isolation

As the novel coronavirus epidemic continues to spread, the number of quarantined and isolated individuals steadily increases, becoming an 'unbearable weight' for managers SITU Technology, along with Myte Electronics, Ai Micro Science, and String Cloud Technology, have collectively developed a 'Home Isolation Personal Location Tracking System' for COVID-19, addressing the issues of isolated individuals wandering and holes in epidemic tracking On the afternoon of February 12, 2020, as the novel coronavirus epidemic continued unabated, home-isolated individuals were seen wandering around, causing widespread alarm, with anxious faces hidden beneath white masks A 'Public Cloud Location and Monitoring Seminar' held in Taipei unexpectedly helped forge a significant epidemic prevention coalition Formed by a coalition of established and startup companies including SITU Technology, Myte Electronics, Ai Micro Science, and String Cloud Technology, they introduced the COVID-19 'Home Isolation Personal Location Tracking System' In the abodes of those quarantined, whether in centralized isolation spots or home setups with temperature monitoring platforms, an automated reporting process alerts immediately if abnormalities are detected, significantly reducing the burden on epidemic staff and preventing quarantined individuals from easily leaving their premises, thus plugging the gaps in epidemic tracking Home Isolation Temperature Care System Architecture Diagram Home Isolation Wandering, Epidemic Phones Not Enough As the number of confirmed cases of the coronavirus rises, in order to effectively prevent community transmission, the Central Epidemic Command Center has specified that all entrants must undergo individual home isolation, home quarantine, and self-health management those in home isolation and quarantine must rest at home for 14 days and must not go out, during which community leaders and police officers should ensure at least two temperature checks daily However, as the epidemic intensifies and the number of people requiring a 14-day home quarantine skyrockets, there is a dire shortage of equipment and personnel This includes 2,000 location monitoring phones provided by the government being insufficient additionally, the limited number of epidemic personnel face increasing work pressure, urgently necessitating the use of technological tools to aid the situation Shih-Juan Lin, founder and CEO of SITU Technology, explains that the COVID-19 'Home Isolation Personal Location Tracking System' is divided into hardware and software components The hardware includes a temperature patch from Ai Micro Science and an unlimited location tracking device USB receiver provided by String Cloud Technology The patch, which must be placed in the armpit of the quarantined individual, is capable of measuring temperature 24 hours a day the receiver uploads temperature and location data to the SITU Technology's cloud positioning engine This data is analyzed to track temperature trends and accurately predicts the likelihood of diagnosis Home Isolation Temperature Care System Comparison Chart Temperature Measurement Indoor Positioning System Reduces the Likelihood of Community Infections SITU Technology was officially established in 2015, with co-founders from various fields including indoor positioning, robotic platforms, imaging graphics, machine learning, and cloud computing Shih-Juan Lin states that the unified epidemic phone GPS systems, whether used for centralized quarantine, centralized isolation, home quarantine, or home isolation, have two drawbacks the resolution is too high and they cannot track vertical movements, meaning that they cannot detect movements from one floor to another, or from one room to another, which greatly increases the potential for community transmission Compared to traditional methods, SITU Technology's positioning sensing system uses various devices, including optical lenses, LIDAR, and ultrasound, to sense wireless signals at each point like an indoor Google car, accumulating extensive and comprehensive data to build an accurate floor plan Simply said, by crossing-comparing wireless signals received by multiple indoor receivers and using AI deep learning, the positioning can break through spatial restrictions and achieve greater accuracy In addition to precise positioning, by analyzing the mobility tracks of isolated individuals and groups and tracking their contact history, it is further possible to grasp the virus transmission routes, offer early warnings, and avoid community infections On the management side, computers and large electronic displays can observe the temperature, battery usage, and signal strength of the group patches isolated individuals Once it is detected that an isolator has left their designated location, an automatic alarm signal is immediately triggered, allowing management personnel to take immediate action On the other hand, isolators can also record their own temperature changes on their phones, and in the event of an abnormal situation, they can immediately notify the quarantine unit for further checks Epidemic Platform Diagram This system was conceived and formed on February 12, and within just over a month, has been empirically tested in centralized isolation facilities in Taipei City and New Taipei City of around 50-bed scale, with effective implementation In the future, there is the potential to expand to factories, offices, and other larger scale, high-risk areas for temperature management After the epidemic, this system can also be expanded for use in emergency rooms, maternity wards, postpartum centers, and long-term care institutions Isolator's Temperature Management Interface Amid the ongoing global epidemic, the COVID-19 'Home Isolation Personal Location Tracking System' may have the opportunity to be exported overseas, becoming a global market aide for home isolation and medical quarantine SITU Technology Team「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】零次方科技打造「無憂工廠」
【2020 Solutions】 ZeroDimension Tech Creates "Worry-free Factory"

"Good technologies and applications must be developed outward to serve society" The initial group of people followed the professor's footsteps in the laboratory to study popular contemporary technologies and applications Shu-Fan Lin, CEO of ZeroDimension Tech Co, Ltd, believes that the implementation of AI in work reporting not only helps companies achieve an unmanned factory, but goes a step further to achieve a worry-free factory AI IoT tradition to the future Learning AI technology with Professor Chou at Tunghai University and often going to factories for observation and internships made Shu-Fan Lin realize "Why not try to solve it using AI or IoT" He noticed the pain points on site and hoped to use new methods and new technologies to solve existing problems, working with customers to find different solutions that are consistent with on-site operating models and improve past defects This is the origin of ZeroDimension Tech In the past, on the production line, data basically relied on manual writing, but now using machine vision recognition, data that could only be copied with pen and paper in the past can now be recorded first-hand on-site through lenses and mobile devices and sent back to the situation room in real time The status and problems of various indicators, such as efficiency, utilization rate, and OEE, in each factory are reported in real-time, forming a highly integrated system AI work reporting system improves data collection efficiency by 10 times Shu-Fan Lin said that the recovery and processing of on-site production information is a major pain point due to oil contamination on paper and the difficulty of recognizing handwriting on reports filled out by on-site workers At present, ZeroDimension Tech's AI work reporting system is being introduced into mechanical forging plants, using visual recognition methods to identify counters and workpieces and report work, improving the efficiency of information collection In addition, manual filling of reports has been converted to work reporting on tablet PCs, which greatly reduces the difficulty of information collection The collection of information in the traditional 3K dangerous, hard, dirty factory environment is a big problem From the collection and integration of production information to the generation of the final report, it will take one hour at the fastest or as slow as two to three days using manpower The development of digitization and AI can increase the frequency of information collection to once a minute Depending on the amount of information, reports can be generated in about 5 minutes and provide the latest information, improving efficiency by about 10 times AI work reporting system In the current stage, the AI work reporting system can be applied to aspects of factory production and on-site, and AI can be applied to counter recognition, work piece recognition, and facial recognition for work reporting At present, more AI applications and AI work reporting systems are being integrated to create a friendly and intelligent user experience, thereby reducing the workload of on-site operators and gradually making the site paperless Clear information collection improves the speed of decision-making by senior managers in the situation room ZeroDimension Techrsquos future development plan is to simultaneously improve the production capacity and efficiency of companies As for the difficulties and challenges encountered during the development process, Shu-Fan Lin pointed out that although machine vision is able to record and store on-site images, the large amount of dust in the environment on site can easily cause inconvenience in photographing images The dust and stains had to be removed from time to time to store clear images for recognition It is hard to overcome technical problems of the environment and is a goal that the company must towards in the future

【解決方案】端點科技導入影像品質監控系統 高品質影音僅需花十分之一成本
【2020 Solutions】 Point Media Technologies Introduces Image Quality Monitoring System for High Quality Images at Only One-tenth of the Cost

Video surveillance products generally only provide a black screen for comparison Whether an image has mosaic or snowflakes can be determined by using the xception model for image quality monitoring, and the application of AI for determination allows the product to stand out Implementation of smart identification to monitor streaming in real time Point Media Technologies is a company that specializes in the development and manufacturing of video streaming products, and has achieved good results in the radio, television, and OTT fields The start-up coincided with the transition from analogue to digital television in Taiwan in 2013 Taiwanrsquos radio and television industry has always used foreign products, and not many products were developed by Taiwan This market gap led to the establishment of Point Media Technologies Video surveillance products generally only provide a black screen, video without audio, and audio without video, providing real-time images for determining mosaic Whether an image has mosaic or snowflakes can be determined by using the xception model for image quality monitoring, and the application of AI for determination allows the product to stand out Illustration of viewing audiovisual products Image quality monitoring can be used in audiovisual transmission to assist in quality monitoring At present, channel transmission operators use three methods are used for audiovisual transmission satellite, data line and Internet public network transmission The audiovisual transmission process goes through many encoding and decoding devices The operation process of these devices may cause damage to the image In the past, poor signal quality was only discovered after outputting images to the user end The inspection and repair process also takes a lot of time, resulting in poor viewing performance Due to the low cost of using AI for determining image quality, it can monitor each audiovisual node Once the system detects an error signal, it can notify the engineer immediately to deal with it, reducing the processing time and is better able to improve user satisfaction with the viewing experience High-quality audiovisual effects at only one-tenth the cost To achieve the high image quality required by radio and television, it often costs up to NT1 million to purchase related equipment After the introduction of AI technology, the cost is only NT100,000, which is only about one-tenth of the cost The AI audiovisual determination module has a multi-screen monitoring system After commercial verification, this AI image quality determination module is able to assist automated monitoring and improve the quality of audiovisual transmission If this AI module program is applied to a microcomputer, it will be more convenient to introduce it to various user units All radio and television, OTT, and live streaming operators can use this system to meet their automated monitoring needs The AI module can detect image problems with an accuracy of about 96, allowing problems to be quickly detected and resolved System architecture chart Channel transmission operators are responsible for the reception and transmission of dozens of channel signals in Taiwan The audiovisual signals received will be transmitted to various cable TV and OTT platforms in Taiwan Since each channel needs to be transmitted to many nodes, the TV wall in the monitoring center is full of TV signals Manual monitoring is imperfect, resulting in line abnormalities and unstable signal quality, which in turn affects the viewersrsquo rights After introducing the system, the image quality monitoring system replaces manual monitoring and immediately reports any abnormalities in the image, greatly improving the quality of audiovisual transmission Dual mode error event examination Point Media Technologies stated that the system is currently only able to monitor defects, snowflakes, mosaic noise, gap compensation, and jitter It is not yet able to automatically adjust quality, which will be the greatest challenge for future monitoring systems

【解決方案】BRISE AI抗敏天使 防疫抗敏守護用戶安全
【2020 Solutions】 BRISE AI Anti-Allergy Angel - Protecting Users' Safety during the Pandemic

As the COVID-19 pandemic continues to spread globally, confirmed cases and deaths are steadily climbing, causing widespread alarm The Taiwanese company Aivetech accidentally became a market sensation with its 'BRISE AI Anti-Allergy Angel' air purifier, originally launched to combat influenza and enterovirus, achieving rapid sales and going out of stock within less than three months, sweeping up 3-4,000 units off the market 'We didn't expect the epidemic to escalate so rapidly we initially just hoped to alleviate the difficulties of allergic families in Taiwan, and also purify influenza and enterovirus We wanted the BRISE AI Anti-Allergy Angel to be a guardian of family health, but the spread of the coronavirus unexpectedly boosted our popularity,' said Tsai Cheng-Chia, director of product and market development at Aivetech, in an urgent tone Aivetech, founded in 2013, transformed into a specialist in air detectors and air purifiers four years ago With many domestic and international brands in the market, Aivetech aimed to integrate artificial intelligence AI into its air purifiers, advancing towards becoming an AIoT Artificial Intelligence Internet of Things specialist manufacturer The purification rates of H1N1 and enterovirus reach 9999 Since early 2019, Aivetech has actively invested in the development of software and hardware for AI air purification In terms of hardware, the BRISE C360 can detect 7 types of air values PM 03 10 25 10 concentrations, harmful gases, temperaturehumidity, etc Most importantly, Aivetech spent half a year obtaining a test report from the P3 Laboratory-Guangzhou Institute of Microbiology that show high purification rates of 9999 for both the H1N1 influenza virus and EV71 enterovirus Regarding the currently prevalent new virus strain, Tsai Cheng-Chia mentioned that the strain has not been made public yet, so the labs are unable to test it However, for epidemic control, Aivetech is taking a dual approach on one hand, by connecting to the 'weekly nationwide clinic visits data' from the Disease Control Department to analyze big data during epidemic peaks, accelerating air purifiers during high transmission periods to filter out germs on the other hand, by enhancing the sterilization functions of special filters to help effectively control the epidemic BRISE AI Anti-Allergy Angel connects to open data from the Disease Control Department Tsai Cheng-Chia, product and market development director at Aivetech The BRISE AI Anti-Allergy Angel system has sensors installed both in the air detector and the air purifier, detecting indoor and outdoor temperature, humidity, and organic compounds, while also connecting to data from the Central Weather Bureau and the Environmental Protection Agency on climate, temperature, humidity, and PM25 air pollution Every 10 seconds, a piece of data is sent out, collecting various data and uploading it to the cloud system At the same time, using positioning systems, no matter in which district the air purifier and other devices are located, their temperature, humidity, and air quality can be clearly monitored Anti-Allergy Angel system fully protects the health of children Aivetech stores the collected data in the system and prompts users through the mobile APP, asking about the temperature, humidity, and PM25 levels that trigger allergic symptoms like sneezing, runny nose, and itchy eyes in family members with allergies, such as allergic children By using AI deep learning, it fully captures the environmental factors that induce allergic responses, whether due to a significant indoor-outdoor temperature difference or poor air quality By collaborating with nearby community clinics, including otolaryngology, family medicine, and pediatric allergy immunology specialists, data is provided to the community clinics, enabling parents and doctors to understand allergens and protect children's health holistically Currently, 8,000 allergy-affected families in Taiwan have adopted the BRISE Anti-Allergy Angel, and over 300 medical institutions use BRISE air purifiers BRISE AI Anti-Allergy Angel system Tsai Cheng-Chia states that BRISE is the world's first AI-driven air purifier, unlike regular air purifiers, it automatically learns the habits of its users, providing the most personalized clean air service, integrated with real-time chat services on mobile apps for more accurate anti-allergy and epidemic prevention services While air purifiers can block or kill airborne microorganisms and germs, they are ineffective against viruses and bacteria that land on surfaces Aivetech plans to launch a sterilization and deodorization machine in the second quarter of 2020, using short-wavelength ultraviolet light combined with a special catalyst formula to break down air molecules, reducing the activity of hydroxyl radicals and naturally achieving sterilization and deodorization The catalyst formula coating on the machine's equipment can last for 2-3 years without degradation Aivetech's team comprises professional physicians, environmental control experts, and AI technology specialists, collaboratively developing precise sensing and monitoring technologies for the home environment amidst the ongoing severe epidemic, continuing to contribute to the nation's health「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

這是一張圖片。 This is a picture.
【2020 Solutions】 Info-Link Services Etablishes Taiwan's First Lettuce Pest and Disease Early Warning System

Yunlin County Mailiao Fruits amp Vegetable Cooperation - Taiwan Lettuce Village, located in Yunlin Mailiao, is a legend of green gold on the banks of Zhuoshui River Every lettuce creates huge business opportunities for Mailiao Township with annual export value exceeding NT100 million By combining AI computing technology under the digital management model, Taiwan's first early warning system for lettuce pests and diseases was established to reduce the number of times pesticides are sprayed and greatly improve the quality of vegetables Lettuce garden by Zhuoshui River Mailiao Township is an extremely important place that produces vegetables for domestic sales and exports, and the main source of supply is Taiwan Lettuce Village, which covers an area of more than 300 akkers Under the efforts of farmers, the annual output is about 12,000 metric tons, in which 80 of is exported The remaining amount is sold domestically Lettuce has become an important export agricultural product of Taiwan Although the goal of Taiwan Lettuce Village is planned production according to purchase orders, there has been constant pressure from unstable production and quality due to unstable climate in the past few years Therefore, Taiwan Lettuce Village established the first lettuce pest and disease early warning system in Taiwan with the assistance of Info-Link Services Combined with smart equipment in the field and mobile monitoring software, field management can be carried out and warnings can be received at any time, allowing managers to quickly respond and reduce potential losses Green Miracles Cultivated by Intelligent Agriculture The smart agricultural cultivation management system developed by Info-Link Services has three major functions "achieving crop yield prediction," "real-time warning of crop diseases," and "accurate smart prediction" Mobile phone field reporting AIHUB01The database of Taiwan Lettuce Village has a total of 28,702 cultivation records, and has produced significant benefits It not only increased manpower efficiency by 50, but also reduced the number of times pesticides was sprayed per period from 3 to 1 It also reduced costs such as fertilizer on average, costs were reduced by about NT10,000 per hectare At the same time, field work that was originally completely manual carried out was reduced to only requiring 20 manual operations, and 80 of the operations were replaced by information systems, greatly reducing manual operation costs Description of Benefits to Taiwan Lettuce Village AIHUB02Info-Link Services has completed the database of Mailiao Fruits amp Vegetable Cooperation, and also completed the crop yield prediction and disease prevention and early warning system, allowing vegetable farmers to make inquiries and reports on-site with their mobile phones Decisions on harvesting and prevention measures are made based on the data provided Early warnings for the prevention of disease can also significantly improve the use of fertilizer and pesticides by farmers solely based on feeling The lower frequency of pesticide use improves the overall quality of the ecological environment, and at the same time ensures the food safety of consumers

【解決方案】雲守護人體骨幹分析技術 準確辨識「人」的影像
【2020 Solutions】 Cloud Guardian's Spinal Analysis Technology Accurately Identifies 'Human' Images

Due to more feature points on the human skeleton than the face, Beseye can first capture more features for recognition, thus accuracy is 30 higher than companies that only recognize faces Additionally, Beseye can also deeply analyze human behaviors, such as falling, violence, shopping, etc Human spine analysis technology is 30 more accurate Traffic accidents happen almost every day, with railroad crossing accidents being the most severe Cloud Guardian has launched an AI video analysis platform that analyzes 'human behavior' through various AI analyses, effectively preventing traffic accidents and can also be applied in any venue with human presence Beseye’s AI video analysis platform is based on deep learning AI, accurately identifying 'human' images Cloud Guardian is a technology company specializing in AI security camera analysis services, providing automated security analysis and protection When applied in stores, it can also help analyze customer distribution, achieving savings in labor monitoring cameras and time costs Insight into customer flow, demographic, and consumer behavior with deep data analysis A key aspect of this AI analysis system is the use of Beseye's 'AI Video Analysis Platform', the core technology being deep learning-based human spine analysis technology Skeleton-Print Technology, which can deeply analyze various human behaviors Its accuracy is 30 higher than general face recognition AI engines available on the market Wherever there are people, Beseye guards you Beseye's 'AI Video Analysis Platform' primarily offers three major services First is 'AI-based Human Detection', which, as the name implies, when an intruder is detected, the system automatically sends a push notification, so the user does not need to constantly watch the video feed, but can easily grasp the real-time dynamics of the area Next is 'AI-based Characteristics Analysis', which actively sends a notification when an unfamiliar person is detected If applied in stores, it can also exploit intelligent commercial reporting features to know detailed customer and consumption behaviors, allowing stores to make corresponding sales strategies Finally, 'AI-based Behavior and Posture Analysis', by analyzing human posture, understands which products in the store have higher interaction rates, for example, observing the customer staying longer in front of a certain counter can determine product hotspots Of course, Beseye's 'AI Video Analysis Platform' is not only applicable in shopping centers, almost any public place you can imagine can use it As mentioned in the first section regarding the railroad crossing scenario, simply install surveillance equipment that supports AI analysis at the intersection, paired with designated analysis software It can accurately identify human features and actions within 50 meters As a train approaches, if someone tries to cross the track, the system will immediately detect the person’s age, gender, and mobility state If they are using a cane or wheelchair which causes slow movement, the system will display a risk index Once the situation becomes dangerous, it will immediately notify the control center and station staff, allowing them to handle the situation in real time, thus preventing accidents or track-laying suicides Detecting dangerous events in traffic areas If this artificial intelligence video analysis is applied in hospitals or long-term care centers, through Beseye's proprietary human spine analysis technology, it can detect whether an elderly or patient has fallen, similarly notifying medical staff or emergency contacts in the first moment, minimizing the incidence of accidents and providing a safer environment for the elderly From analyzing shopping mall consumer behaviors to elderly home care, the use of imaging analysis expands the application of diverse venues Human spinal analysis when falling Cloud Guardian is now collaborating with Japan Tokyu Railways in the railway crossing safety system, and with the world's top three mobile brands in flagship stores across Taiwan, as well as major Taiwanese malls and telecommunication companies like Chunghwa Telecom and Far EasTone The services adopted are Cloud Guardian’s AI camera security and business analysis besides shops, traffic, and hospitals, they can also be used in banks, factories, schools, and homes Wherever there are people, Cloud Guardian is actively guarding, which is also the company's main purpose「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

這是一張圖片。 This is a picture.
【2020 Solutions】 5Voxel's New 3D Facial Recognition AI Control Application has Entered the Supply Chain of Major International Manufacturers

Although there are many facial recognition access control products in the market, it is common problem of not being able to find features when there is insufficient light, when using photos for testing, or when using a mask for testing This has resulted in many security loopholes in using facial recognition for access control The proprietary 3D facial recognition developed by 5Voxel can increase the accuracy to 99, making it the best partner for access control equipment manufacturers to enter the international market Current technologies have many security loopholes, 3D facial recognition has extensive applications 5Voxel is committed to the development of proprietary 3D Camera software and hardware, and has 3D image processing, bottom-layer network firmware, and embedded hardware technologies The current mainstream RGB image recognition system in access control systems has many shortcomings, such as passive reception and requiring sufficient lighting Otherwise, it will can easily be limited by the lighting and will not be able to perform effective recognition Therefore, in a darkroom or when there is not much difference in the image with the adjacent area, features cannot be obtained and the facial recognition system will be "useless" In addition, conventional facial recognition access control systems cannot stop someone who intentionally uses a photo or mask to gain access Therefore, the market urgently needs a total solution for access control Capturing facial depth features so there is no where to hide 5Voxel uses proprietary 3D technology to capture multiple facial depth features, and can complete facial recognition without being affected by lighting The current mainstream technology in the market is Face This technology only has 2D image recognition, which has many security loopholes, and needs to capture actual images of faces 3D facial recognition technology will more easily be adopted in fields with high sensitivity and high privacy concerns This new 3D facial recognition AI control application adds a reliable biometric mechanism, without the need for additional carriers, and without the concerns of identity theft when using credit cards or fingerprint recognition In addition, 5Voxel's proprietary technology was completely developed domestically and is not limited by Apple Face ID technology It has developed a total solution for access control, and provides applications other than mobile phones, including access control, smart door locks, and electronic payment 5Voxel is currently working with major domestic access control equipment manufacturers, and has accumulated access data of more than 20,000 personnel to improve the model's accuracy 5Voxel combines its proprietary technology with products, which not only optimizes the accuracy of its technology, but also improves the practicality and value of products Therefore, the subsequent derived benefits and diffusion has attracted NEC manufacturers, and will also adopt the same solution as Intel In addition, the solution can also be applied to medical institutions and nursing institutions with high privacy requirements, providing new control solutions and early warning systems that fully utilize facial recognition systems nbsp

【解決方案】盾心科技用AI安控打造心安新環境
【2020 Solutions】 Shield Heart Technology Creates a Secure Environment Using AI + Security

Shield Heart Technology is one of the few companies globally that possesses both computer vision and machine learning capabilities After two rounds of funding, it successfully raised 98 million and now focuses on the security market, serving long-term paid corporate clients in over 30 countries The traditional use of security systems is being revolutionized With the integration of artificial intelligence in security systems, community guards can monitor cameras deployed throughout the community via smartphones Upon receiving alert SMS from the surveillance cameras notifying about suspicious activities in underground parking lots or residents fainting suddenly, real-time video footage enables guards to immediately notify ambulances for assistance Event Notification Mode Diagram This intelligent security system capable of precisely identifying various types of emergency safety incidents is powered by an image recognition software platform, using new technologies from the branches of artificial intelligence—computer vision and machine learning AI Security System Applied to Multiple Devices AI Security Significantly Reduces False Alarms Traditionally, building surveillance involved continuous recording by cameras, with personnel monitoring the footage to detect dangers However, due to human limitations, sometimes lapses in attention could lead to delayed detection of intruders, with incidents only compensated for by post-event video tracking—lacking preventive effects Additionally, camera recordings, triggered by animals passing by, often lead to false alarms, exhausting personnel in verifying these incidents Shield Heart Technology's system uses user behavior as the basis for recognition, employing computer vision recognition and machine learning techniques By understanding the patterns of users entering restricted environments, the AI learns to identify and alert dangerous situations without false alarms caused by animals or other miscues, achieving a zero false alarm rate Umbo Light Recognizes Users 'AiCameras', 'TruePlatform' cloud management platform, and 'Light AI Image Artificial Intelligence' are three products that make up the Umbo CV series of security services The front end is the AiCameras, and the backend is the TruePlatform management platform, which manages the latest content from cameras on all devices and makes real-time adjustments Light AI serves as the 'brain' that bestows artificial intelligence capabilities on the products, creating an extraordinary AI security system Dong-Yan Chen, the business development manager at Shield Heart Technology, states that there are currently 300 million surveillance cameras worldwide, with less than 1 incorporating artificial intelligence In Taiwan, campus safety concerns for primary and secondary school students have become a major focus for parents and the public, making it the best and largest market for AI security「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

rows
Rows:119, 14 pages