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

Taiwan is moving towards an aging society, and the demand for long-term care for seniors has increased significantly The invisible killer of long-term care - the fall of an elder is an unspeakable pain for home caregivers and care institutions How to turn every unexpected crisis into the most immediate and warm care is a true test of the adaptability and innovation of smart care In order to make filial piety easier, Foreaider Technology has launched the intelligent sensing mattress Foreaider-Z, a thoughtful auxiliary device that can prioritize the physiological information of the elders, allowing the elders to live with dignity, make up for the lack of care manpower, improve the quality of care, and reduce the cost of care The fall rate reaches more than 25, effectively saving more than 200,000 yuan in care costs per person per year “To take care of my mother” was the original intention of Furen Technology when it was established in 2018 Luo Yilin, founder and general manager of Furen Technology, said that he has been a caregiver for more than 10 years and recalled that his mother had A patient with severe mental illness spent 20-30 years in a nursing home Because he was reluctant to leave his elderly mother, Luo Yilin decided to shoulder the heavy responsibility of taking care of her In the past, my mother stayed in a nursing home for a long time, which made her unwilling to contact strangers and made her feel insecure about changes in the environment and space This is why Furen Technology "makes filial piety simpler without changing the living environment of the elderly" "Let the elderly live with dignity" as the ultimate goal of the product, we decided to use advanced sensing technology and AI analysis to deliver appropriate care information to caregivers, eliminating the physical and mental torture that caregivers experience when caring for the elderly We look forward to using smart care AI Technology makes interacting with elders easier Elder falls are the most common accidents that occur when caring for the elderly at home Bed exit warning technology has become one of the important demand indicators for caring for the elderly, Luo Yilin said Insufficient manpower at night is often a headache for the operation of nursing institutions They can only handle daily routine care affairs, but cannot properly manage emergencies or minor symptoms of the elderly, such as falls at the bedside, temporary physical discomfort such as aspiration pneumonia, etc It is a problem that cannot be properly handled by the current ward inspection and shift handover mechanism For nursing institutions, taking bedside falls as an example, a fall may increase the average annual care cost by more than 200,000 yuan per person In order to build a non-verbal communication bridge between caregivers and care recipients, help care institutions quickly respond to the elderly's physiological and medical information, and improve medical care schedule planning, Luo Yilin and the core team gathered caregivers, doctors, and senior engineers and other professionals, jointly independently developed the "Smart Sensing Mattress" Foreaider-Z to provide homes and care institutions with more thoughtful and high-quality hardware and software AI smart care solutions Helping people without being too strict and helping people without blame is the founding purpose of Helper Technology, which mainly delivers on two levels The first is to put people first and make caring for the elderly a warm interaction In addition, caregivers should have a selfless dedication mentality It has been observed that the cared for may not be willing to express their own needs due to different reasons If the needs of the elders can be grasped through smart care technology, it will not only bring more dignity and dignity to the elders Space can reduce unnecessary communication misunderstandings, make the care process smoother, and reduce care costs Smart sensing mattress, the caring guardian of the elders, reducing the fall rate by more than 25 In the technological breakthrough of smart sensing mattresses, combined with the physiological micro-motion sensing technology developed by Furen Technology, it uses air pressure changes for physiological sensing and AI algorithms, so that caregivers do not need to replace the original mattress Place the smart sensing mattress with a thickness of less than 1 centimeter under the elder's original mattress, plug it in and connect it to the Internet Wait 3 minutes for the environment parameters to be automatically matched and set, and the pressure on the bed can begin to be accurately detected changes and interpret the actions and behaviors of the elderly For critically ill and long-term care recipients in nursing institutions, as well as the elderly and infants at home, Furen Technology has launched three versions of smart sensing mattresses, including the smart sensing mattress "Lite version", "standard version" and " Pro version" The Lite version entry-level version, combined with air pressure change sensing technology, can provide home caregivers with relevant identification functions to warn the elderly when leaving bed and inquire about daily routines The OTTALK home care bell APP can be downloaded through the mobile phone, and the caregiver can remotely Set the bed exit warning time and pay attention to the elderly's status of leaving the bed or not, and check the status of work and rest through the mobile phone The standard version, in addition to the bed exit alarm function, can provide caregivers with data measurement status of the elderly's heart rate and breathing during sleep through analog signal calculation technology For the Smart Sensing Mattress Pro version, a three-stage warning function of bed-sitting-up-leaving the bed is specially added, as well as sleep status records such as time in bed, hours in bed, hours of light sleep, hours of deep sleep, hours awake, and number of respiratory arrests and other information, hoping to provide better and more timely services to end customers In terms of business model, Furen Technology provides small-scale care units with a buyout system that integrates smart sensing mattress software technology In terms of cooperation with SI industry players, the company provides hardware equipment for integration and creates more promotion opportunities through SI channels For the empirical application of clinical trials, Furen Technology has currently cooperated with Taipei An'an Nursing Home to successively introduce smart sensing mattresses such as Lite, standard, Pro and other functional products into the care environment to provide diversified services for the elderly Intimate and convenient services of intelligent care During the cooperation process, since An'an Nursing Home is a small institution with a shortage of manpower, the bed exit warning function of the smart sensing mattress helps caregivers quickly remotely determine whether the elderly has left the bed or has fallen, effectively reducing the fall rate by more than 25 Through physiological micro-motion sensing technology, it can quickly help caregivers record the elderly's sleep status the previous night, creating a more convenient communication mode and information exchange mechanism between caregivers and family members In addition, the implementation of smart sensing mattresses can help nursing institutions obtain more positive evaluations in the evaluation Furen Technology develops smart sensing mattresses through physiological micro-motion sensing technology Smart sensing mattress voice AI recognition reduces the number of people sent to hospital for aspiration pneumonia to less than 5 of the overall number of cases Optimizing the voice AI recognition establishment mechanism has always been the goal of Furen Technology’s efforts to improve Luo Yilin said that he was very grateful to Furen Technology for having the opportunity to participate in the development plan of AI care services for respiratory diseases under the guidance of the Industrial Bureau and the Information Policy Council painting, and conducted field clinical demonstration at Puli Christian Hospital Through this project, not only the smart sensing mattress uses AI voice recognition and calculation technology to become more sophisticated, but also an AI training optimization framework is established to allow caregivers at Puli Christian Hospital to respond to the elderly’s upper respiratory tract-cough sounds and lower respiratory tract symptoms -The identification and warning performance of heartbeat and respiratory rate changes are more optimized, and the number of people sent to the hospital due to aspiration pneumonia in care institutions is effectively reduced to no more than 5 of the total number of cases in the month It is believed that with the integration of smart sensing mattresses and respiratory disease AI care services, the service is expected to spread to 5 domestic medical institutions this year Luo Yilin said excitedly that not only that, the smart sensing mattress has also been favored by Japanese dealers and conducted product testing In the next stage, business promotion in Japan will be launched Smart sensing mattress-assisted care institutions reduce the number of people sent to hospital due to aspiration pneumonia Create the integration of long-term care industry software, hardware and service ecosystem to make care simpler Although Furen Technology has only been established for 4 years, it took 9 years to complete product technology research and development Luo Yilin expressed his gratitude for supporting and recognizing the company's entrepreneurial philosophy despite limited manpower and resources The guidance and support of the distinguished people as well as the AI Industry Promotion Plan of the Industrial Bureau of the Ministry of Economic Affairs and the Corporate Information Strategy Council For a small start-up like Furen Technology, there are always challenges and learnings in terms of funding, technical issues, obtaining and processing of production materials and parts However, Huangtian pays off its hard work Driven by the ultimate goal of "making filial piety easier", Furen Technology strives to make smart sensing mattresses the first smart care product in Taiwan that uses air pressure sensing physiological information For the original intention of starting a business that emphasizes the orientation of social value, how to make smart sensing mattresses take into account social value while maintaining a win-win and balance of commercial interests is a strategic issue that Luo Yilin must carefully consider when operating the company's products and business development In the face of business layout, Furen Technology will work hard to stabilize operations and marketing operations in the near future to give back to investors and target customers who have supported the company for a long time In addition, Furen Technology is more active in international business development and product testing in Japan, Vietnam and Poland Regarding the mid-term planning, Luo Yilin believes that the care needs and services of the elderly cannot be completed independently by one industry Furen Technology looks forward to cooperating with more like-minded smart care industry players in the future By gathering the professional energy of each industry, we can build a complete Only with a diverse product chain mechanism can we work together to conquer domestic and foreign markets To this end, Luo Yilin hopes that the company can create an integration of the software, hardware and service ecosystem of the long-term care industry and realize its wish to make care simpler Looking forward to the future, Furen Technology will hope to move from long-term care to preventive medicine I believe that if preventive medicine is managed properly, it will definitely make a great contribution to saving the cost of long-term care Luo Yilin said that more importantly, it will help the elderly in their later life Halftime enjoys a more understanding quality of care and a bright and hopeful life Luo Yilin, CEO of Furen Technology「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

In response to customer demand on a wide variety of products in small quantities in the manufacturing industry, there is an urgent need to find AI solutions from the cloud to terminals Claireye Intelligence provides a solution that integrates software and hardware - BailAI image inspection solution to assist traditional manufacturing industries in improving process efficiency and product quality, thereby achieving the initial goal of transformation After the government declared 2017 to be Taiwan's "First Year of AI," AI startups have sprung up in Taiwan Established in 2018, Claireye Intelligence targets smart manufacturing and provides a platform for AI image analysis and process optimization, using the power of deep learning to detect product defects and abnormalities in the assembly process It assists companies in building infrastructure from terminals to the cloud, which enables automated monitoring of factory production to improve process efficiency and quality Focusing on AI image inspection based on its familiarity with the production line quality control process Shirley Liu, founder and CEO of Claireye Intelligence, is a young entrepreneur She entered the manufacturing industry after graduating from college and held a quality control position in the plastic injection process of hard disk parts "She was already on the production line at the time, and is familiar with the production line process of production machinery" She later switched career paths to marketing and planning, and then worked as an AI product manager When the time came, Shirley Liu decided to start a business, focusing on AI image recognition in the manufacturing industry "The difficulty for enterprises is the lack of an AI development team Even if an enterprise has an AI team, development projects will take a lot of time, at least 6-12 months" said Shirley Liu, who is well versed in the market's pain points The problem that needs to be solved by platforms is to provide services that allow traditional manufacturing industries to build their own AI models without needing employees with a programming background, and to remotely assist production lines with troubleshooting and subsequent system maintenance, helping companies save development time and labor costs BailAI image inspection platform usage scenarios Facing the large number of competitors that provide AI image recognition in the market, what are the technical advantages of Claireye Intelligence Shirley Liu said that many companies currently have AOI equipment, but the bottleneck in the application of AOI is that it can only be used for defect inspection in fast production of large quantities, and parameters need to be adjusted after each inspection or production Based on her understanding of the industry, most SMEs are limited by their financial resources due to AOI equipment often costing over NT1 million, but they also want to use automated inspection This is where Claireye Intelligence comes in Shirley Liu went on to say that it is impossible for traditional manufacturing industries to maintain a technical team that includes AI engineers, data engineers, cloud architects, and terminal architects Claireye Intelligence specializes in software and hardware integration Enterprises can use the BailAI image inspection platform to easily solve inspection problems on the production line In other words, customers only need to provide images or samples for Claireye Intelligence to carry out model training, model deployment, and system integration, and they can easily use AI technology to optimize and monitor production line processes Participated in the AI New Talent Selection and achieved a recognition rate of over 90 in assembly behavioral image recognition For example, a certain connector manufacturer only has 1-2 AI engineers in its technical team The main problem that needs to be solved is that most operators are on the production line, while quality control and senior managers are not on site, and the company wants to understand the actual situation of the production line through remote monitoring Claireye Intelligence uses industrial cameras to capture production line images, and transmits AI image analysis to the remote end Supervisors and quality control personnel can observe if there are any errors in the production line assembly, such as whether the connectors and lines are connected properly, through the monitor Claireye Intelligence's AI image inspection operates on Microsoft's Azure cloud platform, and also utilizes terminal equipment, such as NVIDIA's edge computing equipment placed around the inspection station, to assist traditional manufacturing industries with improving production line efficiency and detecting problems early through an integrated solution from the cloud to terminals Claireye Intelligencersquos customers currently include aviation, electronic peripherals, connectors, and metal industries Assembly process solution for human behavior recognition in assembly lines achieves an accuracy of over 90 In order to demonstrate the depth of technology, Claireye Intelligence participated in the 2021 AI New Talents Selection of the Industrial Development Bureau, Ministry of Economic Affairs, and provided Lite-On Technology with the "assembly process solution for human behavior recognition in assembly lines" The solution determines effective working hours and ineffective working hours of operators on the production line through cameras and AI image recognition It recognizes hand posture and position through images to determine the operator's assembly behavior, achieving an accuracy of over 90 Shirley Liu added that the assembly process of electronic components is complex, mostly carried out manually, and cannot be replaced by robotic arms Claireye Intelligence used cameras to film the assembly process of operators at Lite-On's assembly station The algorithm is then trained and corrected based on the video, and the final trained model can directly determine whether there are any errors in the assembly process to improve the overall process Project development time is expected to be shortened to 1 month by using the BailAI image inspection platform Since its establishment more than three years ago, Claireye Intelligence has accumulated a considerable amount of project experience and hopes to commercialize the project experience Shirley Liu pointed out that the trial version of BailAI image inspection will be completed this year 2022 Customers can choose industrial cameras or video cameras based on the detail of the object being inspected It can even use X-rays to capture images, and then the images are automatically marked by the platform Claireye Intelligence will provide customers with AI application models suitable for the field Inferences can also be made in the cloud or terminals for launch in the manufacturing industry The metals industry, metal casings of industrial computers, connectors, electronic peripherals, and mechanical parts can all use the platform for defect detection and object identification Claireye Intelligence will continue to improve its technical capabilities, accumulate customer experience to complete commercialization, and also accelerate the implementation of AI inspection applications In the mid-term, it will build terminal and cloud infrastructure and shorten the development time of enterprise AI projects from 6-12 months to 1 month, reducing usage time and lowering the threshold for enterprises The long-term goal is to target the Southeast Asian market where Taiwanese businesses are gathered, expand software and hardware integrated AI solutions to overseas markets, and expand the scale of operations