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【2021 Solutions】 Industry-university cooperation shows results. National Taiwan University of Science and Technology’s Artificial Intelligence Operations Management Research Center uses AI to assist enterprises in digital transformation.

In intelligent systems, AI plays a key role. In addition to cultivating professional AI talents, the Artificial Intelligence Operations Management Research Center of the National Taiwan University of Science and Technology also actively conducts various project studies with enterprises to accelerate the implementation of industrial intelligence in Taiwan. One of the cases uses artificial intelligence and machine learning methods to use quality information for maintenance prediction and planning, which greatly improves equipment reliability and product quality. Using quality defect detection AOI technology can reduce the rate of missed defects.

Yu Wenhuang, director of the Artificial Intelligence Operations Management Research Center of the National Taiwan University of Science and Technology, observed that industry demand for AI is increasingly strong, and electronic manufacturing, finance, medical and other fields have greater development potential. On the one hand, the above-mentioned industries have a high degree of informatization, and automation products Online technology and the digital environment are mature and have the conditions for the development of AI technology; on the other hand, because the data required by the industrial environment has been retained, managed and used, it is easier to promote the application and solutions of AI technology when the concepts and data are available plan.

Quality defect detection AOI technology effectively reduces the wrong kill rate

For example, in the field of smart manufacturing, the team of the National Taiwan University of Science and Technology's Artificial Intelligence Operations Management Research Center assisted Taiwan's major electronics manufacturers in constructing a production line equipment diagnostic system and building a sensing network architecture in the production line equipment at the manufacturing site to detect Measure and record the operating status of the machine. Through big data analysis, a warning can be issued when an abnormality occurs on the machine to remind the manager to schedule maintenance. We use the AOI quality defect detection process, combined with machine vision and deep learning technology, to detect defects in electronic parts and perform real-time control and monitoring to assist companies in developing automated optical inspection stations, surface defect algorithms, and management application functional services.

In the flexible printed circuit board (FPC) industry, quality defect detection technology is used for image identification, mainly for re-inspection after the initial inspection, and the original inspection results are designed to be re-inspected. When doing defect detection, ordinary factories often believe that "they would rather kill a hundred by mistake than let one go" and adopt the most stringent testing standards. With the current testing technology and process, it may cause excessive detection and waste the cost of good products. .

National Taiwan University of Science and Technology Artificial Intelligence Operations Management Research Center focuses on intelligence Manufacturing Solutions

▲The Artificial Intelligence Operations Management Research Center of National Taiwan University of Science and Technology focuses on smart manufacturing solutions.

Lecturer Professor Cao Yuzhong, director of the National Taiwan University of Science and Technology Artificial Intelligence Operations Management Research Center, said that the current flaw detection, AI model and algorithm construction and training of the National Taiwan University of Science and Technology Artificial Intelligence Operations Management Research Center have achieved preliminary results. The center hopes to use images to The results of the identification can help companies quickly identify defects and quality status of products during the production process. After that, the next stage can start from the source, how to optimize parameters, improve behavior in the production process, and assist the factory to optimize the process. Better. During the product production process, the parameters of the machine equipment can be used to analyze machine data abnormalities and summarize different patterns for future maintenance and quality management to provide reference for enterprises in the application field.

The epidemic is the biggest catalyst for digital transformation for enterprises. Director Cao pointed out that the introduction of AI to promote digital transformation of enterprises is not necessarily just based on reducing costs or improving production efficiency, but must be based on the fundamental development goals and the essence of the problem. Process analysis, thinking about how to use AI or ICT technology to serve and meet process and customer needs. This process often requires breaking out of the existing framework to help companies reshape new operations and management models to effectively improve corporate performance.

Chair Professor Cao Yuzhong, Director of the Artificial Intelligence Operations Management Research Center of National Taiwan University of Science and Technology
▲Chair Professor Cao Yuzhong, Director of the Artificial Intelligence Operations Management Research Center of National Taiwan University of Science and Technology

The biggest challenge for enterprises introducing AI: improving customer trust

In the process of expanding AI industry-university cooperation, Yu Wenhuang believes that the biggest challenge is to enhance the trust of enterprises in you. For customers, a certain degree of trust is required before the Know-How of the production line can be communicated to you. Share and tell you where the focus of business is. In the absence of business trust, it is difficult for AI industry players to analyze the availability of processes and data. Enterprises usually consider two key points when choosing AI cooperation partners:

1. When cooperating with you, will the data and results be sold to others?

2. Will the cost of customization be too high? Although companies are less wary of academia, Director Yu still believes that gaining customer trust and jointly establishing sustainable AI innovation application capabilities and development goals are the key to The key factors for all ICT companies to face industrial customers and their ability to provide AI solutions.

Regarding the cultivation of AI talents, Yu Wenhuang also has his own unique insights. He observed that the education system from junior high schools, high schools to universities has driven the trend of AI. However, AI technology itself has many theoretical foundations and industrial knowledge that must be integrated. When talking about AI talent cultivation, we should first define how to construct a talent development system or route in the AI ​​field, what types of people are needed to introduce AI into the economic system, systematize talent positioning and characteristics, and let talents who are interested in investing in the AI ​​industry understand how to use their own The goal measures the types of AI skills and jobs that can be developed.

Secondly, it is to help companies that want to promote AI in a systematic way to understand, whether it is developing applications or building technical teams, how to measure the talent needs and technical blueprint corresponding to business goals. It not only plays the role of problem-solving, because AI It is just one of the ways to solve the problem. Only by assisting enterprises to establish innovative consciousness with AI R&D thinking can we truly implement industrial development, strengthen demand and promote both supply and demand at the same time, and accelerate the implementation of AI applications and talent cultivation.

NTUST Artificial Intelligence Operations Management Center provides a number of smart manufacturing solutions

Regarding smart manufacturing solutions, the solutions provided by the Artificial Intelligence Operations Management Center of National Taiwan University of Science and Technology are as follows:

. Intelligent predictive maintenance

Adopting artificial intelligence and machine learning methods, using quality information for maintenance prediction and planning, greatly improving equipment reliability and product quality, establishing failure modes and reliability analysis based on different equipment operating characteristics, and using process control analysis to trace products Quality history helps on-site personnel eliminate operational abnormalities in a timely manner.

. Smart dispatch and scheduling planning

According to the characteristics of the industry, develop intelligent labor dispatch and scheduling algorithms to effectively shorten setup time and total working hours. For example, for a variety of workpieces, the production schedule must meet conditions such as combined material preparation, group production, and specific process sequences. From the group production of workpieces, the assignment of adapted production lines, to the multi-parallel single-machine scheduling that adjusts the production sequence of each production line under grouping, the optimization algorithm is introduced to design a complete smart schedule. system.

. Deep learning and automatic optical inspection

Improve quality defect detection AOI technology, using machine vision and deep learning, which can detect flat and curved surfaces of metal electronic parts, and perform real-time control and monitoring, including automated optical inspection stations, metal AOI defect algorithms, and modular design and other application technologies.

The design elements of this algorithm: 1. Automated optical inspection station 2. Metal AOI defect algorithm 3. Modular design

. Smart Situation Room

Combined with high-end graphics card flexible assembly units, including processing machines, industrial robot arms, collaborative robot arms, engineering inspection stations and conveyor belts, a smart war room with digital twin technology is established. The technical features include real-time monitoring, data integration, data Transparency and data visibility.

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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【解決方案】小柿智檢 以「AOIAI」雙劍合璧,軟加硬體千錘百鍊 打通外觀瑕疵檢測任督二脈
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 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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 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【解決方案】客廳化身為健身房 Uniigym矢志成為健身界的Netflix
Living Room as a Gym: Uniigym Aims to be the Netflix of Fitness

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【解決方案】輔人科技透過智慧感知床墊 心領神會 讓照護長輩變得有溫度
Furen Technology uses smart sensing mattresses to understand and make caring for the elders warm.

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」