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【2021 Solutions】 Hyson Technology uses AI to help fishermen farm fish

Lien Wei-Cheng, the founder and CEO of Hyson Technology, was once an IC design engineer in the semiconductor industry, working in front of a computer all day long in Hsinchu Science Park. Although he was busy, he still had a sense of uncertainty and felt anxious about his life goals. He couldn’t help but think about whether the technological capabilities he learned can directly connect with people and the land, solve various social issues, improve human life, and further change the world.

He took the plunge and left the semiconductor industry, a job that everyone envied, and founded Hyson Technology. He stayed at the fish farms in Qigu, Tainan, his hometown for a long time, and built relationships with the fishermen. He was eventually able to talk about "fishing knowledge" and gained the trust of the fishermen. The "Aquaculture Monitoring and Rearing System" was developed by Hyson Technology by combining artificial intelligence (AI), Internet of Things (IoT), and mechanism design. The system uses a method friendly to fish, shrimp, and the environment to reduce risk and increase yield, achieving sustainable farming production.

Schematic diagram of the AIoT aquaculture rearing management system of Hyson Technology

▲ Schematic diagram of the AIoT aquaculture rearing management system of Hyson Technology

Lien Wei-Cheng, who was wearing a sun hat and walking among the fish ponds under the scorching sun, was asked: Why did you make the change from the tech worker to an entrepreneur who helps fishermen farm fish? He answered shyly with a smile: The chairman of a certain semiconductor company also asked him the same question. "I want to have more contact with people, directly understand people's needs, and find places where technology is needed to improve people's lives," he said, so he resolutely left his envied job in the semiconductor industry and became "half tech worker, half fisherman."

The annual output value of Taiwanese fishermen is relatively low, but there is great potential to increase output value through technology

Why did you choose aquaculture for entrepreneurship? Citing a report in "CommonWealth Magazine", he pointed out that to show the value of an industry, we can observe whether the industry has prospects based on the per capita annual output value of employees. For example, Qualcomm has a per capita annual output value of NT$23 million, and Microsoft is NT$23 million. The per capita annual output value of Norwegian fishermen reaches approximately NT$24 million, which is three times the per capital annual output value of Taiwan's electronics industry (NT$8 million). The current average of Taiwan's aquaculture industry is only about NT$400,000. There is considerable room for growth from NT$400,000 to NT$24 million.

Thinking about it from another perspective, Taiwan’s electronic hardware and IoT equipment technology lead the world. If these technologies can be combined to give smart aquaculture full play, the average annual output value of fishermen is expected to increase significantly. The expertise of Hyson Technology’s team is AI image processing technology and data analysis technology. They use these technologies to solve the risks and labor problems caused by not being able to see fish and shrimp underwater. The team sets out from being able to see, to measure, and to control, and allows fishermen to quickly monitor the growth status of fish and shrimp using their mobile phones. It can also be combined with automated equipment to reduce labor and risks.

When Lien Wei-Cheng was a student in the Department of Electrical Engineering, National Cheng Kung University, he loved raising ornamental fish and watching birds, often going to Qigu to watch birds. He observed the environment and found that more and more fish farms in Qigu were being abandoned. This was mainly due to two major factors, one is that it is difficult for young people to enter the industry without experience. The other is that the older generation did not keep records and it is difficult to pass on experience. This has resulted in an aging population in Taiwan’s fishing villages and prevented an increase in output volume. The most effective way to solve the problems above is to introduce an automated system to assist with fish farming.

Hyson Technology's fish farming system uses self-designed IoT underwater cameras to monitor fish in the farms. It also uses Edge-AI image defogging technology to make the images of fish in ponds clearer, allowing fishermen to use their mobile phones to see fish activities and feeding, and determine if the fish are sick. The images are synchronized to the cloud, and Cloud-AI automatically identifies, samples, and measures biological information, such as the length and weight of each fish, automatically recording and compiling statistics of the growth status of the fish. The information is visualized in reports and images. It can also analyze the feed conversion ratio in different farming stages. The AI expert system can also predict harvest dates based on growth data, control sales and shipment schedules, and ensure stable and sufficient supply.

The fish farming system is like a ruler, taking into account every detail of fish farming

The fish farming system creates an objective ruler for the fish farming industry. Using this ruler, fishermen can measure and compare the effects of different farming methods, see parts that they have not paid attention to before, and create more usages and value. In the past, the traditional approach of manually catching fish samples was labor-intensive and time-consuming. It usually took two people an hour to sample only 30-40 fish, and often caused accidental fish casualties. Field verification results show that Hyson Technology’s fish farming system can automatically sample and measure the biological information of 300 fish in 5 minutes without disturbing the activities of the fish. It is extremely efficient and can ensure zero damage to the fish.

Fish farmers use the system’s AI growth statistics as the basis for decision-making in determining the size of fish entering the pond and shipping. It replaces the original traditional method of manually catching and measuring 30 fish, which can save about 75% of manual work time. In the fish farming industry with extremely scarce manpower, the benefits of saving manpower are very significant. Hyson Technology is gradually expanding the AI technology it developed to other fields. For example, Hyson Technology participated in the AI+ New Talent Selection of the Ministry of Economic Affairs Industrial Development Bureau’s AI Program, in which major companies provide problems and startups provide solutions.” The company combined its proprietary fully automatic AI underwater image defogging algorithm with an AI model, and applied it to the solution of an optoelectronics company for removing rainbow film from LED panels. The company thus won the biggest award for meeting all technical thresholds.

Lien Wei-Cheng pointed out that the defogging technology can automatically estimate the degree of color distortion in water and automatically adjust the contrast of each area to improve image quality. Compared with AI models that consider underwater physics and methods based on adversarial network model, the method proposed by Hyson Technology provides clearer image details, and also received better scores in multiple objective image quality evaluation standards, such as NIQE and PSNR.

Underwater image defogging algorithm favored by major companies due to its superiority

This defogging technology combined with AI technology can effectively improve the accuracy of fish recognition. For groupers with colors similar to the background and difficult to distinguish, the accuracy can be significantly increased by more than 3%. For batfish with clear features and high recognition accuracy already reaching 98% and above, the accuracy can be further increased by nearly 1%. Using this technology to make the images of farmed fish clearer, it can be used as the basis for determining fish diseases. If the technology for underwater defogging is built into the AI model recognition layer, it can also be used to solve the problem of rainbow patterns appearing when taking photos of screens, which prevents panel defects from being detected. This will effectively solve the problem of AUO with rainbow pattern interference during panel inspection.

What are the challenges of Hyson Technology in business promotion? Lien Wei-Cheng believes that the biggest difficulty is how to expand into a new industry. Hyson Technology often faces customers from traditional industries. When recommending or cooperating with traditional industry customers on a new technology product, the key is gaining the trust of customers and achieving the goal of customers are partners. Frequent visits are needed to gradually build trust and understand customer needs. Only then will the company have the opportunity to further assist customers in solving their pain points.

Hyson Technology's excellent image recognition and AI technologies have gradually gained recognition from customers. It has built relationships with major companies in verification, and it will continue to gain a foothold in the market in the short term with its own image processing products, such as the fish farming system. In the medium term, it hopes to expand the scope of products and business services, and provide one-stop production and marketing services from underwater to on land, and from the production end to the consumer end. In the long term, Hyson Technology will duplicate its successful experiences in Taiwan and integrate resources of partners to expand into the international market.

Lian Wei-Cheng, founder and CEO of Hyson Technology, working in a fish farm

Lien Wei-Cheng, founder and CEO of Hyson Technology, working in a fish farm

Lian Wei-Cheng and Chiu Yu-Shao join the ranks of smart aquaculture with their technological expertise

Lien Wei-Cheng and Chiu Yu-Shao join the ranks of smart aquaculture with their technological expertise

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【解決方案】日康科技運用AI人臉辨識偵測生理數據 知人知面也知心 自我健康不漏接
Zcon Telehealth uses AI facial recognition to detect physiological data so that people can know everything about their own health

On a weekend morning, Grandma Li, who lives in Taipei, was happily having a video call with her little granddaughter in Tainan through the screen of an AI health management robot Then at 900 am, the foreign domestic helper's mobile app displayed a health management reminder sent by the robot, notifying that Grandma Li needed her daily physiological data measurement Grandma Li faces the camera on the robotrsquos screen, and the screen displays Grandma Li's blood pressure, blood oxygen, heart rate, heart rate variability, and stress index The robot detected that grandma's blood pressure was a little high, and a picture of blood pressure medicines immediately popped up on the screen to help the foreign domestic helper quickly find the medicines, making Grandma Li feel more at ease when taking medicine This AI telehealth care application is not futuristic, but rather the AI-enhanced comprehensive telehealth care solution of Zcon Telehealth, which has been established for 10 years, providing thoughtful companionship for the elderly through AI It can be used for non-contact physiological data measurement in the post-pandemic era, significantly cutting the labor cost of care in half Bobby Pan, the founder and president of Zcon Telehealth, which has accumulated abundant technical capabilities in the telecommunications and banking industries over 20 years, observed that the demand for telehealth care is an inevitable business opportunity, and decided to establish Zcon Telehealth in 2013 He worked hard with the core AI technology team to develop a comprehensive telehealth care solution Four years ago, he set the goal to develop an AI-based telehealth care platform, and returned to school to study in a doctoral program, focusing on the research of contactless detection of physiological data using AI facial recognition technology He successfully obtained an invention patent 2 years later Zcon Telehealth is the third company in the world after an Israeli company and Taiwan's National Chiao Tung University to provide technological and service innovations for AI facial recognition to detect physiological data, and successfully incorporated it into the company's telehealth care management platform As Taiwan becomes an aging society, demand on elderly care will increase and become more diverse In addition, the increase in demand on physiological data measurement due to COVID-19, coupled with the shortage of manpower in care institutions, has highlighted the importance of telehealth care solutions The market demand for telehealth care can be divided into three main service targets home, social residence, and institutions Telehealth care can provide real-time physiological data detection, and the data can be uploaded to the cloud for storage, effectively solving the problem of insufficient caretaking manpower Seeing that the demand for telehealth care is irreversible at home and in care institutions, Bobbdy Pan observed that telehealth care should have five major elements, namely precision care, precision medicine, precision diet, precision health supplement, and AI companion robot He looks forward to the five major elements effectively connecting Zcon Telehealth's healthcare products, and providing more considerate telehealth care services for senior citizens or institutions To this end, Zcon Telehealth uses AI technology to strengthen comprehensive telehealth care solutions The company's products are integrated into four major areas, including telehealth care management platform, tele-psychological consultation platform, AI health management robot, and physiological data detection technology using AI facial recognition AI facial recognition technology contactless physiological measurement obtains data within 30 seconds, saving 12 of the labor cost of care The telehealth care management platform is an important core care platform of Zcon Telehealth It effectively integrates the exclusive measuring equipment provided by the company to daycare center, such as blood pressure monitors, forehead thermometers, and i-GlucoPal - needle-free blood glucose detection By downloading the smart care app of Zcon Telehealth, it can help long-term care institutions collect physiological data records of the elderly, and store the data in the cloud via Bluetooth transmission, allowing institutions to quickly obtain health data reports of the elderly Elderly people can also download the app, and use their own account and password to accurately measure and record their personal physiological data At the same time, family members can also use the account and password of their elders in institutions to keep an eye on the elder's health status and past measurement records The company is currently cooperating with 8 daycare centers affiliated to the Taiwan Rehabilitation Technological Association through the telehealth care management platform, which can significantly save 12 of the care labor cost, and has successfully provided 2,000 elderly people with general home care Regarding the tele-psychological counseling platform, Bobby Pan said that the company began to promote it in 2018, but online psychological counseling was not popular at that time Counseling centers only needed to use LINE or video platforms to provide services It was not until the COVID-19 pandemic in the past two years that caused people to go out less, which caused psychological counseling centers to lose a large number of customers Therefore, tele-psychological counseling platforms have become an important service channel for counseling centers to develop their customer base The tele-psychological counseling platform is provided to counseling centers in the form of an app Its functions include Google Meet video, online appointment, cash flow from payments, case management, account management, and emergency notification Counseling centers obtain a private account through Zcon Telehealth, and will be able to independently monitor the database management status of the counseling center, such as psychologist schedule management Zcon Telehealth thoughtfully provides the UberPsycho app service to clients After downloading the app, customers can locate and instantly match with the nearest counseling center and matching location to complete the search for a counseling center Customers can subsequently make an online video call or go to the counseling center to meet their counseling needs, breaking the limitations of space and meeting customers' needs for real-time consultation or spiritual companionship when they are emotional, truly achieving "Anywhere, Anytime, On-Demand Service" The product is an online psychological counseling platform that has been reviewed and approved by the Health Bureau and is compliant with regulations Counseling centers only need to apply online to start online counseling services, and do not need to worry about system setup At present, the tele-psychological counseling platform has successfully cooperated with 18 counseling offices in Taiwan Recognizing that AI companionship and housekeeping are important trends in telehealth care, Zcon Telehealth launched Taiwan's original AI health management robot, integrating hardware manufacturers with health management software services provided by Zcon Telehealth The service functions of the AI health management robot include the physiological measurement of Zcon Telehealth's Smart Care app combined with its own measuring equipment blood pressure meter, forehead thermometer, blood glucose meter, cloud storage of physiological measurement data and abnormal data notification, remote video monitoring, caregiver work reminders, medication reminders, and physiological data functions based on AI facial recognition The AI health management robot is mainly targeted at families with foreign caregivers Employers can set work item and time reminders on the Zcon Telehealth Smart Care app, such as accompanying elders for a walk, elders taking medicine, or taking photos while the elders are in bed The robot's screen or voice playback reminds foreign caregivers of work items when caring for the elderly When the foreign caregivers finish their work, they must tap the complete button on the robot's screen to indicate that the task was completed The AI health management robot can help employers effectively remotely track whether foreign caregivers have completed daily elder care tasks as scheduled In addition, employers can have video conversations with their elders through the app and the screen of the AI health management robot The screen can also display pictures of medicine to reduce the risk of elderly people taking the wrong medicine Bobby Pan said that "zero contact" has become an important hygiene behavior in the post-pandemic era Combined with telehealth care, Zcon Telehealth has launched AI facial recognition technology to detect physiological data, which is different from typical wearable devices in the market, such as smart watches or bracelets that use photoplethysmography PPG for contact-based physiological detection Zcon Telehealth uses remote photoplethysmography RPPG for facial detection This method extracts signals from the tiny periodic color changes in light reflected from the skin caused by heartbeat RPPG can be roughly described as a modified version of reflective PPG, in which ambient light replaces LED and a camera lens replaces the photoelectric detector Physiological data detection technology based on AI facial recognition uses contactless measurement to detect changes in facial blood flow through images This technology can simultaneously integrate measurement of blood pressure, blood oxygen, heart rate, heart rate variability HRV, and stress index Users only need to face a regular webcam or mobile phone lens for 5 seconds, and reference data of the five physiological indicators can be detected and displayed within 30 seconds The data can be viewed in Android, iOS, or web version This product can achieve convenient self-health management and measurement functions for those who frequently travel abroad, workers such as security guards, service providers such as taxi drivers, or migrant workers, replacing the inconvenience of carrying various physiological measurement equipment in the past Zcon Telehealth is the third company in the world to provide physiological data detection technology based on AI facial recognition The company has successfully applied for an invention patent due to the innovation of this technology and services AI facial recognition health management has successfully cooperated with the health management center of a hospital in Kaohsiung, and provides the center's members who download the app with self-health measurement services In addition to health examination centers, the AI facial recognition health management service also cooperates with domestic TV manufacturers to develop customized Android TV apps and integrate them into Internet-connected TVs to provide health measurement detection services Physiological data detection technology based on AI facial recognition can quickly measure and provide physiological data - Demonstration by Bobby Pan, founder and president of Zcon Telehealth Psychological consultation AI brainwave detection equipment to understand customers' mental health status in advance In terms of tele-psychological counseling platform services, Zcon Telehealth not only assisted counseling centers with developing new remote customer service channels during the pandemic, but also uses the UberPsycho app to quickly help customers match with psychological counseling centers that suit them It has also successfully provided value-added services that combine psychological counseling at counseling centers with AI brainwave equipment for brain health assessment through clinical verification It also obtained brain assessment and test reports, and then guided customers to appropriate psychologists for counseling "More than 23 million people in Taiwan receive psychological counseling services every year, and about 110 of them, or more than 230,000 people, need further psychiatric treatment" In addition, the psychologists have different clinical experience and judgment Bobby Pan pointed out that if psychological counseling can be combined with AI brainwave equipment for brain health assessment, and it can provide customers with the early prevention mechanisms of "mental health examination" and "psychological counseling" He believes that the company can quickly grasp the customer's mental state and prevent them from doing something they will regret With the support of the AI HUB project of the Industrial Development Bureau, Ministry of Economic Affairs, Zcon Telehealth cooperated with 5 counseling centers in field verification, providing the counseling centers with AI brain health assessment equipment The customer test report includes simple mental assessment, heart rhythm assessment, autonomic nervous system assessment, behavioral response assessment, brain health assessment, neurological response assessment, and brain emotion assessment In terms of breakthroughs in AI technology, Zcon Telehealth connects devices through a brain-computer interface for brain health assessment indicators, transmits physiological data, and uses a long-short-term memory model and convolutional neural network to analyze neural indicators It automatically generates a cognitive function assessment report through cloud services as the quantitative result of mental health examination This value-added service of the verified mental health examination solution has been actively expanded to all counseling centers in Taiwan through cooperating counseling centers In the future, the company will continue to cooperate with medical institutions and health examination centers to expand its business Psychological consultation AI brainwave detection equipment to determine mental health status in advance In terms of business model, physiological data detection technology based on AI facial recognition uses a non-binding payment mechanism Individuals or companies will receive AI blood oxygen detection cards provided by Zcon Telehealth, and scan the QRCode on the card using their mobile phones for unlimited self-health measurements within one month They only need to pay NT300 per month, which is quite affordable In addition, the fee for the telehealth care management platform is also very affordable at only NT100 for each account For the tele-psychological counseling platform, Zcon Telehealth signs annual contracts and bills customers on monthly basis The AI health management robot is provided for customers to buy out Looking towards the international market while based in Taiwan, developing diverse telehealth services From the perspective of Zcon Telehealth, how to successfully develop products, market them, and expand business opportunities has been a challenge since the company was founded Among them, the company's development of physiological data detection technology based on AI facial recognition was the most challenging Bobby Pan said that since there is no precedent in the industry, the only way was to go back to school to study Fortunately, he was admitted in a doctoral program two years ago and read countless foreign journals, which he then integrated into product design and development It took 2 years of hard work to achieve this result Zcon Telehealth is not only passionate about the development of AI-enhanced telehealth care services, but also believes that AI-based contactless physiological health measurement and data can provide people and care institutions with a more affordable, convenient, fast, and considerate health measurement option in the post-pandemic era In terms of business strategy, Bobby Pan hopes that recent promotion of the physiological data detection technology based on AI facial recognition will continue to increase market share and create cooperation opportunities with channels To this end, the SDK Software Development Kit developed by Zcon Telehealth allows any application owner to embed it into their solution, and can use the SDK to directly detect physiological data on Android or iOS devices It is also applicable to mobile phones, tablets, smart TVs, or smart health mirrors In the future, Zcon Telehealth will primarily target large-scale health companies for cooperation, and looks forward to finding more potential partners with the assistance of the Institute for Information Technology III In the past two years, Zcon Telehealth has actively expanded into the field of AI healthcare and maintained its leadership in AI facial recognition technology Facing the fiercely competitive AI healthcare industry, Bobby Pan said that Zcon Telehealth must plan ahead and will first provide physiological data detection technology based on AI facial recognition to charity and religious groups free of charge, in order to increase product visibility in the short-term In the mid-term, Zcon Telehealth will partner with large health companies, such as health examination centers, and utilize the big data collected through the cooperation to plan customized health products and services For long-term development, Zcon Telehealth plans to set up a branch in Texas, USA by the end of this year and establish local distribution channels It will actively expand business to emerging potential markets, such as Vietnam, the Middle East, and South America You can know what people look like but not what's going on inside Zcon Telehealth breaks through the traditional approach and uses AI facial recognition technology to detect multiple physiological data in 30 seconds, gaining insight into an individualrsquos current health condition, so that it can not only know what people look like, but also what's going on inside Bobby Pan said that it took years of hard work to complete the development of physiological data detection technology based on AI facial recognition Zcon Telehealth is looking towards international markets while it is based in Taiwan, and will develop diverse telehealth services Bobby Pan, founder and president of Zcon Telehealth

這是一張圖片。 This is a picture.
Smart Construction Site Security Platform

In construction site operations, implementing safety protection measures and establishing related processes are essential for controlling workplace safety Every business owner strives to minimize industrial safety risks To reduce the probability of workplace accidents, it is particularly important to inspect personal protective equipment PPE and safety measures The Yongyi Smart Construction Site Security Platform utilizes an AI-embedded system, not only to detect whether workers are properly wearing helmets, but also to manage access control at construction site entrances and verify worker identity The Smart Construction Site Security Platform is also a part of the government's push for the Smart Construction Label Initiative 'Smart Site Management' is one of the three main items under the 'Maintenance Management' indicator, highlighting the importance of 'Smart Site Management' This solution includes access management, surveillance management, safety management, and environmental monitoring as aspects of its AIOT solution Feature Highlights 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-11-09」

【解決方案】2秒鐘完成結帳動作 Viscovery AI影像辨識助攻智慧零售
Complete checkout in 1 second, Viscovery AI image recognition assists smart retail

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