With late marriage and childbirth becoming a trend in modern society, Taiwan has a high infertility prevalence rate of 15, indicating that one in every seven couples faces infertility issues Bearing children is a significant event in life, and Pei Yuan Health, through its artificial intelligence embryo testing algorithm and assisted physiological data, can enhance the success rate of artificial insemination For parents grappling with infertility, having a baby is a deeply cherished desire Statistics indicate that two-thirds of global in-vitro fertilization patients have experienced repeated failures, with each treatment cycle costing between 200,000 to 500,000 NTD, posing an unbearable financial burden to the patients and their families Kuo Jing-Huan, the founder of Pei Yuan Health, who focuses on the development of artificial intelligence applications in the medical field, has introduced an 'Embryo Quality and Pregnancy Physiological Value Assessment System' Through machine learning techniques, this system extracts and learns from a vast database of embryo images to create an embryo image analysis system This development includes an embryo conception rate identification and pregnancy risk assessment system to aid doctors, significantly increasing the chances of successful artificial insemination Taiwan's artificial insemination success rate reaches 36, ranking second worldwide Kuo Jing-Huan, who also serves as the Executive Director of the Health IoT Alliance at Taipei Medical University, states that Taiwan boasts a strong medical team, with an artificial insemination success rate of 367, ranking second in the world, barely behind the United States at 375, and far surpassing Mainland China's 225 He mentioned that the US FDA has already approved the Eeva Test, a smart testing system that selects embryos using delay imaging microscopes to collect real data during the embryo culture process This system calculates and predicts which embryos are most likely to develop successfully and selects the best-suited fertilized embryos Illustration of Smart Embryo Selection Test Additionally, international companies have begun to use artificial intelligence to help integrate complex datasets from multiple incompatible systems, including drug treatment programs and clinical pregnancy outcome information, as well as predicting the characteristics of successful in vitro fertilization IVF outcomes, which has also garnered Series A investment support In contrast domestically, fewer manufacturers or hospitals and clinics are involved Pei Yuan Health hopes to collaborate with the professional medical team from Taipei Medical University to jointly develop a proprietary Taiwanese reproductive medicine case management platform This platform uses AI systems to assist doctors in selecting from various treatment options the ones with the highest conception rates and making real-time adjustments based on different patient responses to fertility treatments, aiming to enhance Taiwan's international reputation in the reproductive medical industry Integrating AI Embryo Testing Algorithm for Marketing Abroad Pei Yuan Health, based on its artificial intelligence embryo testing algorithm, combined with a developed Laboratory Information System LIS and time-lapse embryo incubators, conducts service verification Utilizing a microservices framework to integrate testing equipment into the reproductive medicine laboratory management system for market sales, while also applying for the Institutional Review Board IRB They invite other reproductive medicine centers to participate in the experimental plan, submitting these clinical verification results to apply for an FDA Class II medical device application Kuo Jing-Huan points out that Mainland China, with its one-child policy lifted and an artificial insemination probability of only about 20, represents a significant market opportunity In 2020, Pei Yuan Health plans to actively invest in fertility clinics, including developing pre-pregnancy plans, establishing an ovum bank, attracting 10,000 clients, and accumulating investments in 5 joint venture clinics in Taiwan The plan includes applying for AI technology FDA approval In 2021, strategic investments in China will be made, completing a comprehensive factory export program, establishing brand authorization franchises, collaborating with 10 joint venture clinics in Taiwan and 50 franchise clinics in China, with the goal of giving more hope to parents desiring to have children「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

In ancient times, traditional Chinese medicine doctors diagnosed by looking, smelling, asking, and touching to assess the pulse, facial complexion, and interrogation of the patient to understand the symptoms modern AI doctors, with a single optical lens, can scan and detect physiological information of the user, obtaining heartbeat, blood pressure, heart rate variability, etc, making symptoms nowhere to hide AI doctors 'see' physiological signals The AI start-up company Juyi Intelligence, founded by Wu Bingfei, a distinguished professor in the Department of Electrical Engineering at the National Chiao Tung University, is at the core of 'AI optic-based physiological information measurement' technology It uses common photographic lenses to capture continuous facial images for signal processing After algorithms process the data, it can obtain physiological information such as heartbeat, heart rate variability, and blood pressure The key feature of this technology is non-contact measurement With the advent of an aging society, the demand for long-term care has surged However, for the elderly who dislike wearing devices, even the best wearable devices are ineffective Additionally, seniors are generally unfamiliar with using 3C products, thus such devices might become a burden However, Juyi Intelligence has a new solution by using an optical lens in an imaging detection system to observe facial expressions, it can detect blood pressure and heartbeat Compared to other wearable devices, whether worn on the body or the wrist, the advantage of a photographic lens is its simplicity and complete unobtrusiveness Real-time measurement, precise tracking Currently, most available products on the market are wearable physiological measurement devices or video surveillance products that do not have physiological detection capabilities This solution is the only successfully commercialized system for image-based physiological information measurement The technical highlights are 1 Commercializable, non-contact continuous detection technology for heartbeat, heart rate variability, and blood pressure 2 Heart rate measurement results can be output within 6 seconds 3 Direct measurement even with glasses on 4 High accuracy measurement compared to medical-grade devices 5 Clinical trials conducted with hospitals to collect real physiological data to optimize AI algorithms 6 Wide applications using physiological information measurements for stress, fraud, or fatigue detection Juyi Intelligence product image Horizontal technology creates diverse vertical applications In healthcare, it mainly assists elderly patients with cardiovascular diseases, avoiding the discomfort of wearing medical devices, without needing to change daily habits, allowing the system to automatically perform daily health records and predict related diseases, saving medical staff for more intelligent elder care solutions In the smart finance sector, facial image processing technology detects physiological information and emotional changes along with masking behaviors Implemented in bank ATMs or counter systems to enhance monitoring camera functions, it observes the state of withdrawers, sends alerts to clerks upon detecting abnormal emotions or behaviors, thus preventing financial crimes or fraud In transportation, using Juyi's technology can detect whether drivers are fatigued If data indicates the driver has become fatigued, an alert can be issued, advising the driver to stop driving to avoid accidents In the financial field, Juyi Intelligence has also cooperated with Shanghai Commercial Bank, introducing the image-based physiological information detection system in newly established smart branches, using physiological information to enhance emotion recognition, strengthening the bank's KYC verification and ATM anti-fraud operations along with VIP exclusive services, providing bank customers with a brand-new digital financial service experience This technology has been implemented in digital branches in Taichung and Hsinchu Furthermore, the non-contact physiological information measurement has a wide range of applications, focusing on smart healthcare, smart finance, smart transportation, and smart security Initially, these sectors were independent vertical blocks, but Juyi specializes in horizontal technology that allows more diverse applications in each vertical sector, providing more versatile grounding applications「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Factory machines operate 24 hours a day and will cause heavy losses if they are shut down due to failure If the usage status can be monitored by machine and abnormalities immediately determined, it will help the industry maintain product yields, machine stability, reduce maintenance costs, and shorten maintenance time At present, mainstream AI mostly uses big data gathered in advance or already on hand for training and characterization However, despite the a wide variety of machinery and equipment in factories and the marketrsquos emphasis on predictive maintenance and monitoring in recent years, the amount of data accumulated is very limited How can we quickly meet the needs of factories Provides immediate diagnosis and shortens the troubleshooting process Good Tech Instruments has accumulated a huge database and can quickly help manufacturers protect machinery, equipment, and product quality Wen-Tze Hsu, founder and technical manager of Good Tech Instruments, said that the main feature of machine learning AI monitoring system products is that it quickly learns from the experience of practitioners in the original field, and then uses pre-built mathematical models to classify and manage human experience based on physical and mathematical calculations, accumulating a large amount of data through repetitive production actions At the same time, the previously learned experience data is overlapped with data accumulated over a long period of time and deviation conditions for optimization, in order to achieve the goal of optimizing the monitoring model The time series charts generated by the system are subsequently used to define the predictive maintenance time for various industries and equipment The implementation of instant diagnosis can increase production by 40 working days per year Good Tech Instruments has accumulated a huge database and can quickly help manufacturers protect machinery, equipment, and product quality Wen-Tze Hsu also pointed out that factories have a lot of data, but collecting data does not mean that the data will be useful, and collecting data for deep learning will not necessarily solve the problem of predictive monitoring Good Tech Instrument's monitoring program uses existing or learned rules for monitoring when it is first installed, in order to protect machinery and product quality In the monitoring process, the underlying algorithm will continue to collect and classify data Users can perform labeling actions in the process or use the collected and classified data groups for deep learning AI technology is mainly applied in equipment monitoring and predictive maintenance processes The VMSreg-ML Intelligent Machine Learning Monitoring System can achieve three benefits IAvoid business losses due to production line shutdowns caused by unexpected damage to equipment and molds By preventing unexpected shutdowns and time waiting for materials, production can be increased by 40 working days per year, and quality assurance manpower can be reduced by one third IIOnline monitoring of production processes serves as a defense mechanism against defective products, which can reduce customer complaints and rejected goods IIIMonitor the health status of machinery and equipment, avoid delayed maintenance or excessive maintenance, improve management of industrial production risks, and reduce waste of operating costs The target market of Good Tech Instruments is monitoring applications for stamping, such as the health of motors, crankshafts, punch rods, and springs It can also be applied to smartphone casings, automobile manufacturing body parts, 5G equipment casings, and metal fasteners, and its customer base is mainly in the semiconductor industry Wen-Tze Hsu also said that AI has been the most important trend in the manufacturing industry in recent years, and equipment monitoring is now regarded by most companies as the first step in implementing smart manufacturing systems

The silver storm is coming Taiwan will enter an 'ultra-aged society' by 2026 Daycare centers across Taiwan are facing a 'staffing shortage,' with AI facial recognition introduced to monitor entries and exits, making reliance on AI for roll calls a comforting solution for day centers How serious is the aging population issue in Taiwan Let's consider a figure by 2018, the proportion of the elderly population aged 65 and above in Taiwan had already exceeded 14, officially entering an aged society Moreover, according to estimates by the National Development Council, Taiwan will enter an 'ultra-aged society' where the elderly population exceeds 20 by 2026, aging even faster than Japan The council also predicts that by 2065, Taiwan's elderly population will exceed 40, implying that every 12 working individuals will need to support one elderly person Faced with a massive elderly population, daycare centers are bound to experience severe staffing shortages The informatization of Taiwan’s long-term care institutions is insufficient and urgently needs AI technology to address the staffing crisis Ian Wen, the vice-president of the Taiwan Long-Term Care Association National Federation, which has 800 members, states that unlike the medical industry continuously incorporating cutting-edge technology, Taiwan's long-term care sector has not benefited from Taiwan's world-class technological advances Small and medium-sized institutions depend heavily on manual labor With the introduction of AI technology to solve transformation problems, there can be substantial benefits for both the institutions and the elderly Responding to the industry's urgent calls, the Ministry of Economic Affairs' Industrial Development Bureau and the Institute for Information Industry have been actively seeking solutions Initially, the Institute focused on needs, collaborating with the Long-term Care Association to visit multiple institutions and understand their issues Most venues claimed that controlling exact attendance of elderly residents daily is necessary to comply with the long-term care subsidies Just before 7 AM, care recipients come in wheelchairs, with canes, driven by family members at the back door, and some who are supposed to arrive yet remain unseen The chaos at the entrance -- elders, families, and caregivers talking and bustling around -- makes it impossible to even hear each other By the time the roster call finishes, breakfast bought early in the morning is still sitting on the table This is a typical morning for caregivers at the daycare centers AI roll calls help solve current issues of staffing shortage and information inaccuracy Daycare centers commonly face issues with seniors having irregular attendance and check-in times Current operations only manage these through manual registration With multiple entrances, large and multi-level premises, and complex traffic including caregivers, administrative staff, elders, their families, and visitors, it's challenging to effectively manage them Additionally, manual roll calls can lead to errors during busy hours and even create misunderstandings regarding subsidy counts, causing problems for both the Ministry of Health and Welfare and the providers Thus, industry stakeholders are keen on using AI-enhanced devices to help healthcare staff, reduce manual documentation, and free up administrative staff time to assist more elderly care recipients With the mediational and advisory support from the Information Industry Institute, security monitoring providers Qizhuo Technology and Hangte Electronics have integrated facial recognition technology into long-term care institutions By setting up facial recognition devices at entrances and creating an innovative long-term leasing business model, they not only solve budget and staffing issues for small and medium-sized institutions but also help electronic device providers find suitable field verification sites, effectively solving problems for both supply and demand sides Qizhuo Technology solution implementation, left shows discussions with venue staff about installation details, right shows the detection screen Hangte Electronics solution recognition screen Facial recognition technology in long-term care progresses rapidly, capable of replacing the manual roll call systems and assisting caregivers during nighttime inspections, ensuring the whereabouts of elderly residents The application within daycare centers is expected to continue expanding「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Facial recognition software applying deep learning and edge computing model compression technologies significantly reduces costs compared to cloud computing and has increased efficiency by more than ten times The technology has been introduced to law enforcement agencies for suspect identification and will be used in more access control systems, membership systems, and provide diverse AI services in the futureBy integrating edge computing, facial recognition time is saved by more than ten timesAs end-user demand for AI increases, most current AI applications involve sending files to the cloud, where they are processed and analyzed by high-end processors like CPUs and GPUs Future devices such as tablets, smartphones, surveillance cameras, and smart doorbells will feature AI applications, addressing issues of insufficient computing resources and decreased performance with edge computing and efficient deep learning algorithmsApex Intelligence developed AiBo facial recognition software applying deep learning and edge computing model compression technology that allows IPCams to automatically recognize every smile of children aged 0-12 through local device computation, emotion detection accuracy exceeds 98, significantly saving more than ten times the photography and recognition time compared to cloud services Photos can also be uploaded to the cloud to create smart albums using facial classification technology, allowing users to share albums with friends and familyUsing edge computing reduces expenditures by 4 million annuallyWith edge computing, there's no need to spend time sending all images back to the cloud for recognition and classification This saves more storage space and costs, and can expand services to remote areas or locations with unstable internet This technology has already been partnered with major domestic manufacturers, significantly reducing the average annual cloud storage, computer processing, and service costs by 4 million The application also utilizes facial recognition for real authentication, adding an extra layer of protection for online transactions, while physical retail stores can use security system image analysis to quickly identify customers, providing more precise service qualityApex Intelligence's product technology can perform facial detection, identification, classification, object detection, and gaze detection The main focus of its AI deep learning technology is on image processing, with existing products including facial unlock and smart photo albums For example, in collaboration with UMC, it is determined whether personnel wearing safety gear enter within safety cones This technology can be further applied in homes, family restaurants, kindergartens, and more, enhancing applications in access control systems and membership systems to provide diverse AI servicesZhongwei Chen, founder and CEO of Apex Intelligence, also pointed out that images occupy a significant proportion in the data types of the Internet of Things AI can extend the value of images, inspiring different creativity and generating enormous business opportunities in the future「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

We all know that falls are a major concern for the elderly Once a fall occurs, it could lead to injuries or even life-threatening consequences that may be irreversible such as remaining undiscovered after a fall To counteract this, early warning through AI technology for fall and hazardous area detection can greatly enhance the safety of the elderly According to international statistics, the fall incidence rate among people aged 65 and above is 30-40 This implies that out of ten elderly individuals, 3 to 4 might experience a fall annually Indeed, falls are the most common cause of injury among the elderly Additionally, detections and warnings of risky behaviors in hazardous areas, such as scalds or slipping in the bathroom, can significantly reduce injury risks for elderly individuals To ensure that the elderly lead a long and healthy life with minimized accidental injuries, the AI team from the Institute for Information Industry actively collaborates with long-term care centers and AI device manufacturers Their goal is to meet the most urgent needs of the elderly, addressing areas where care centers, due to limited staff and resources, can't provide comprehensive care Accidents and injuries are among the top ten causes of death The establishment of an early warning system is urgently needed Statistics show that among the top ten causes of death for people over 65, in both Taiwan and the United States, accident injuries such as falls are included Post-fall, elderly individuals often experience a decline in mobility and quality of life In addition to physical injuries like fractures and bleeding, psychological impacts can also occur, causing them to avoid going out and leading to further physical decline Thus, preventing falls and providing immediate warnings to minimize fall-related injuries are crucial issues in elderly care Currently, the Institute for Information Industry's team is guiding collaborations between elderly care providers and AI device manufacturers The focus includes developing AI technologies for elderly facial recognition, along with technologies for detecting falls and hazardous behaviors, which are now being implemented in three elderly care facilities across northern, central, and southern regions for practical validation Collaboration between smart surveillance manufacturers and facilities effectively enhances recognition rates Mr Wu Jiachen, Vice President of Chiztech, stated that their smart surveillance technologies, including fall detection, facial recognition, and electronic fencing, have been well-developed but require practical validation sites to accumulate big data Introduced by the Institute for Information Industry, demonstrations in long-term care settings significantly improve recognition rates, greatly benefiting future applications Chiztech's developed fall detection solution Moreover, Mr Guo Hongda, Vice President of Hantech Electronics, who has been involved in safety surveillance for over 30 years, pointed out that the greatest key to successful smart surveillance lies in data accumulation and smart image analysis Establishing an AI database for various applications is crucial For instance, detected wandering can initially indicate whether the person's movement suggests discomfort or an anomaly, allowing immediate alerts to the monitoring center If an elderly person approaches potentially dangerous areas like a water dispenser or water heater, service personnel can be notified quickly to assist and prevent possible accidents, thus effectively facilitating early warning measures Hantech Electronics' developed fall detection solution With the assistance of the National Federation of Taiwan Long-Term Care Association, which has about 800 members, approximately 100 small and medium-sized care institutions have expressed interest in adopting the technology Once these facilities are fully equipped, they will become the seedbeds for advancing the AI transformation of Taiwan's eldercare sector「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Hangte developed AI Cam, offering smart innovative services The development of monitoring products has undergone breakthrough development due to the advent of artificial intelligence technology traditional network cameras IP Cam have been upgraded to AI network cameras with smart image automatic analysis and response capabilities AI Cam not only meets the high-resolution demands of various platforms with image quality but also continuously expands its capabilities based on its smart application properties, thereby creating innovative services in smart imaging applications that keep evolving and being suitably applied in various environments and scenarios For example, in the use of human detection applications, this smart monitoring feature can separately identify each person in the surveillance video and delineate a specific range as a basis for monitoring decisions, conducting systematic analysis and management users can calculate the dwell time, count people traffic, and also issue immediate alerts when a designated person enters the monitored range as shown in the diagram below Smart monitoring features can individually categorize each person in the surveillance video In the aging society with a shortage of manpower, smart long-term care efficiently enhances care quality According to statistics from the Ministry of Interior, Taiwan has entered the 'aging society' structure Since 1993, the population of elderly people aged 65 and above has steadily increased from 1,491,000 to 3,312,000 by the end of March 2018 according to estimates by the National Development Council, the elderly population is expected to exceed 20 by 2026, making Taiwan parallel with Japan, South Korea, Singapore, and some European countries as a 'super-aged society' In other words, in the future, Taiwan's society may become a structure where one in every five people is elderly, significantly increasing the need for long-term care facilities and retirement centers Given the trend toward an aging population, the manpower resources for caring for the elderly will inevitably diminish over time The solution to the aforementioned shortage of manpower for long-term care needs is to optimize the operation of long-term care institutions using artificial intelligence technology, particularly by utilizing AI network cameras with smart image auto-analysis and instant response capabilities, combined with the Internet of Things IoT automatic connection features to promptly identify problems and handle them effectively, embodying a high-efficiency smart service application In the smart operation system of long-term care institutions, we can set up a people counting function to calculate the daily traffic, using this data as a reference for observing the dynamics of personnel entering and exiting a designated detection area, useful for calculating attendance or foreign visitor flow, and adjusting door threshold times or work schedules accordingly additionally, the electronic fence feature can define and secure specific areas, immediately alerting the management if an unauthorized visitor breaches the area, coupled with fall detection to set up designated areas for the care recipients prone to falls, immediately notifying the caregiver if an incident occurs within the detection range as shown in the diagram below Using AI surveillance cameras in long-term care facilities reduces the workload and enhances care quality Edge computing smart imaging, cloud IoT innovative services The application of artificial intelligence combined with the Internet of Things in monitoring scenarios is not limited to potential suspects or dangerous individuals in retirement and long-term care environments, AI surveillance can also enhance monitoring and integrated management of resources Hangte Electronics, leveraging over thirty years of industry experience and RampD capability in monitoring imaging technology, successfully combines Internet of Things technology IoT and Artificial Intelligence AI, not only making good use of cloud computing to reduce installation and management costs of surveillance environments but also greatly enhancing the overall monitoring effectiveness of security systems by utilizing edge computing to provide image preprocessing capabilities and coupling it with AI smart image analysis technology for various image recognition and instant analysis of monitored subjects' behavior, automatically linking response mechanisms to correspond to triggering events, fully dedicated to crafting innovative service solutions for smart surveillance 20 for clients Fully dedicated to crafting innovative service solutions for smart surveillance 20 for clients 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

When consumers don't know what to buy or are specifically interested in certain types of products, their first thought might be to shop online Why Because it's fast, convenient, offers 24-hour delivery, and they don't have a preference for specific brands, allowing them to find products from various sellers on a single platform While browsing online, you've surely seen product recommendation features like 'You may also like' or 'Others also viewed' These not only help you find the products you need more quickly but also allow for fast comparison of similar items in terms of specs and price It's a very useful feature for consumers For merchants, this data helps understand customers' habits and preferences 'Recommendation systems' basically ineffective Amazon and the globally known streaming platform Netflix see significant revenue boosts from their recommendation systems Coupled with articles teaching how to increase conversion rates, e-commerce business owners might have quietly thought, 'I've tried using similar recommendation systems, but they haven't shown significant results' Perhaps, aside from focusing on targeted marketing, we should consider each consumer as an individual with unique preferences, behaviors, and needs, creating a personalized shopping experience just for them Traditional methods, like recommending more fans after one buys a fan, no longer meet the current users' needs Modern networks use AI algorithms to dynamically calculate user behavior and update website merchandise, promptly adjusting the recommendations on sites and e-commerce platforms, such as recommended content and the content viewed, to better align with what users are seeking Why not analyze consumer profiles, allowing customers to have their 'personalized website' Data shows that e-commerce worldwide spends a lot on advertising to drive traffic, yet the actual conversion rates average only 2 - 3 Why is this Rosettaai has learned from over five years of e-commerce experience that two main factors affect customer conversion and retention Inability to grasp customer purchase preferences, motivations, and situations, including personal factors E-commerce often involves wearing many hats with insufficient resources and budget to adopt innovative technology Thus, Rosettaai has always focused on two critical business factors 'Customer Acquisition' and 'Customer Retention', emphasizing integration of all touchpoints throughout the consumer's online and offline journey, rather than just being an online recommendation tool Its personalized recommendation system suggests products that best suit each customer's taste, analyzing preferences to help brands more accurately understand their consumer profiles and recommend styles to potential customers Rosettaai also designs recommendation systems to suit different pages and KPI stages based on consumer shopping processes Users can select scenarios based on their website's needs the system also provides real-time feedback and automated engines Now, with over 30 unified API-ready free modules and 14 basic scenario combinations, your e-commerce site will no longer be just another site With AI and deep learning, the concept of homepage will be redefined, tailoring product recommendations and homepage design to meet individual consumer demands From another angle, creating a precision recommendation service for e-commerce, allowing the use of a personalized recommendation system, not only prevents customer churn and increases average order value but also enhances turnover and provides a novel shopping experience for modern consumers, resulting in a mutually beneficial cycle 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

From production line to dining table, who oversees the hygiene management of what we eat In recent years, there has been a continuous stream of news reports concerning food safety, such as repackaging expired goods, and poisoning incidents at Hong Rui Zhen It's clear that people are increasingly concerned about the hygiene of their food However, due to various quality control methods in food processing, there are inherent risks The World Health Organization WHO has pointed out that unsafe food and water cause physical harm to 2 million people each year Hence, international markets demand that food processing companies must establish a traceability system for products This is why major domestic food processors also aim to set up a production traceability system to quickly trace back to problematic raw materials and initiate recall and destruction of problematic food Visible assurance, implementing production transparency A major domestic food manufacturer producing frozen food and instant meals has expanded its market presence to North America, New Zealand, Japan, etc They are also at the forefront in promoting food management domestically, having obtained certifications such as HACCP, ISO22000, ISO14001 Since food production is labor-intensive, it is prone to quality impacts caused by worker fatigue Additionally, the production lines often have unclear records of production quantities, processes, and timing This obscurity in traceability makes it difficult to track production information when defects occur, leading to food safety management gaps that result in the scrapping of entire batches To address this, the Production Development Center at National Sun Yat-sen University utilized its advisory resources to help the food manufacturer tackle food safety management challenges, planning the use of AI technology to collect production data and establish anti-fraud and traceability for food production Intelligent manufacturing boosts food safety Although the level of automation is not high in the processing of bakery products, the food plant in this case is keen to enhance the automation of its production lines and introduce smart manufacturing For businesses, a traceability system not only helps establish brand image and increase product and brand value, but also gives consumers peace of mind due to the transparency of production lines Therefore, the Production Development Center at National Sun Yat-sen University matched AI technology service providers, Hong Ge Technology, in the first phase to plan the introduction of data collection devices to link food work orders information, reducing human operational omissions and capturing real-time production information through dashboards to ensure the consistency of production stage information potentially affected by human factors Schematic for intelligent production line planning The second phase involves using deep learning during the dough fermentation stage to calculate size and volume, analyze the relationship between temperature, humidity, fermentation time, and product volume, and assess whether to introduce AOI foreign object detection after freezing as a second quality control step Schematic of AI-integrated quality control for finished products Food processing ID card, launching the AI-era of food safety tracing In Taiwan, the understanding and acceptance of production history by consumers is gradually improving From the supply of raw materials, processing, production, to distribution and sales, it is necessary to have complete control and provide transparent information Publicly disclosing the production history not only increases trust between enterprises and consumers, but also aligns Taiwan's food safety environment with international standards In 2020, the Production Development Center at National Sun Yat-sen University will assist enterprises with the adoption of advanced AI technology, documenting the entire data process from industry to dining table and supervising food production processes to successfully implement product tracing, prevention of adulteration, and the establishment of high standards for products, thus advancing food processing products to international standards「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Surface treatment applications face rising costs and talent gaps The development of metal surface treatment technology affects the quality of aerospace, automobile, machinery, home appliance, communications, and fastener products sold domestically and exported At the same time, it plays a pivotal role in domestic smart machinery, national defense, and circular economy in the " 52 Industrial Innovation Plan" According to 2018 survey statistics, the output value of the metal surface treatment industry reached NT1515 billion, an increase of 36 compared to 2017 However, metal surface treatment is a labor-intensive, energy-consuming, and pollution-intensive industry It has long suffered from a shortage of professional and technical talent, and the tightening of environmental regulations has caused processing costs to continue to rise As a result, the industry is facing a crisis of survival and a crisis of competition from international high-value supply chains Manual quality control faces market challenges, while the coating process has found new opportunities Overseas markets currently account for 70 of the revenue of a domestic steel plate coating plant It expanded into the automotive steel, diverse supply chain, and various special steel product markets in 2016 It is imperative to improve the quality of surface treatment through innovative technologies, in order to seize international markets In the continuous steel plate coating process, the price difference between finished steel plate products and defective products is about 10 times Manual inspection is used in the current stage During the production process, 10 m needs to be cut from each steel coil and becomes fixed inspection waste, incurring a significant amount of cost for waste materials, and also delaying production At the same time, the instability in manual inspection quality also makes production quality unstable The Southern Taiwan Industry Promotion Center STIPC utilized the guidance capabilities it accumulated over a decade in Southern Taiwan, and matched the steel plate coating plantrsquos pain point with an AI optical measurement technology service provider This reduced the cost of consumables used in steel plate inspection, and reduce errors caused by fatigue during manual inspection Stabilizing steel plate coating quality with optical measurement technology In order to control the quality of the coating process, image recognition must be used to identify product yield General measurement technology requires contact to detect the thickness of coating Therefore, the STIPC match the plant with an AI optical measurement technology service provider to assist in the development of a non-contact optical measuring instrument, record coating data, and then compare the data to obtain the best process parameters Illustration of 3D non-contact measuring instrument testing Presentation of measuring instrument data Rapid scanning through AOI achieves non-contact measurement It can quickly scan the profile and overall dimensions of the object being measured without directly making contact with the product or damaging the surface of the steel plate It can immediately control coating thickness and quality of steel plates without increasing cost We hope to calculate data of the process environment and design the product abnormality warning range, so that it can be used to make the process smarter In the future, this solution will further detect surface defects and color differences of finished steel plates to reduce the proportion of discarded material, solve the problem of the gap in professional and technical talent, and improve product yields Schematic diagram of non-contact measuring instrument Establish an AI coating model to create world-class steel plate supply standards With the guidance of the STIPC in 2020, the steel plate coating plant accelerated the application of advanced process technology and established quantified indicators of surface treatment process quality standards, which will help domestic surface treatment companies produce high-quality electrical steel sheets, and is expected to increase the product price by 2 In addition, it can also assist companies in the industry obtain heat treatment certifications for high-value aerospace, electric vehicle, fastener, and aerospace products, increasing the industryrsquos added value through innovative thinking, and continuing to lead the metal industry forward

The development of AI voice assistants has become increasingly mature, but there is a lack of applications specifically for the hotel industry Therefore, the AI voice assistant developed by Aiello can complete room service, equipment introduction, check-out, and stay extension, making it a considerate AI butler The introduction of AI voice assistants into the hotel industry will help improve the experience of guests Google Assistant, Apple's Siri, and Amazon's Alexa are known as the world's three major voice assistants The applications of voice assistants are becoming growingly diverse, but they are mostly used in handheld devices, personal applications and home applications Some hotel operators are optimistic about demand in the hotel industry, and have introduced AI voice assistants into hotel industry applications, leading to the rise of smart hotels Aiello was founded in October 2018 and launched the Aiello Voice Assistant that supports Chinese and English The Aiello butler, which looks like an alarm clock, can assist with room service, equipment introduction, check-out, and stay extension after receiving voice commands from hotel guests Hotel voice assistant For example, if a hotel guest needs drinking water or newspapers, he only needs to say to the Aiello Voice Assistant "Please send a bottle of mineral water to my room" or "Please send a newspaper to my room" After the Aiello butler receives the guest's voice command, the customer service manager will directly send someone to deliver mineral water or newspaper This prevents poor service or even customer complaints because counter staff missed a call In addition to receiving instructions from guests, Aiello Voice Assistant can also combine the functions of a phone and an alarm clock, and has a built-in Bluetooth speaker, so that it can automatically play online streaming music with a single command, providing guests with a better service experience Deepening service scenarios and expanding practical applications Aiello Voice Assistant uses natural language processing NLP and semantic analysis to recognize customers' voice commands and complete multiple room services, reducing unnecessary communication time and potential human error Among them, semantic analysis is used to replace the rule-based model and the exhaustive method of linguistics It can understand at least three questions at a time, which is more in line with people's conversation habits and more adaptable to different situations, thereby deepening the service scenario Hsien-Hsien Liao, co-founder of Aiello, also believes that deepening the service scenario is the only way for consumer experience reach a certain level BERT proposed by Google also uses image analysis to replace the rule-based model and the exhaustive method of linguistics This technology has gradually become mainstream in the market The introduction of AI voice assistants into the hotel industry to provide services will effectively replace manpower to optimize and improve the quality and efficiency of room service The current version of Aiello is already online and will initially target the Chinese market The company is currently negotiating with hotel groups and system service providers in first-tier cities, and has two models monthly rental and buyout In the future, more services will be integrated to expand the business model, including calling taxis, purchasing tickets for entertainment, and booking travel packages In the future, the company will further design a new type of in-room service system specifically for hotels It transforms the in-room voice portal and the hotel's SaaS platform into a new retail channel to maximize benefits for hotel operators The current challenge is that it is difficult to find news and music content providers in Taiwan who are willing to cooperate in providing services However, as the system becomes more mature and the products continue to be promoted towards the hotel industry, more content manufacturers will be attracted to work with the company