Herji Ltd held an interactive teaching session with AI storybooks at the 'Taiwan Early Childhood Development and Remedial Association Taitung Office', allowing children, teachers, and parents to engage in immersive educational experiences AI-generated children's educational storybook materials AI Learning Platform In recent years, changes in the social structure of Taiwan, combined with experiences in hospital emergency departments, have often led us to overlook the depressive symptoms exhibited by adolescents, resulting in tragic incidents of self-harm or even suicide among children A significant part of children's depression stems from their academic performance, with parents worrying about their children's future competitiveness, thus placing a lot of pressure on children who perform poorly academically In a family with two children with the same genetic background and provided with the same resources for growth, we often find that the second child's academic performance is not up to par, with poor grades, an inability to concentrate in class, and even lacking the patience and perseverance to finish reading a comic book or playing a video game We have been exploring why these differences occur and discovered that these issues often arise from undiagnosed learning disabilities during early childhood Due to environmental factors, children with delayed learning abilities are often not acknowledged by over 80 of parents who are reluctant to seek treatment for their children, primarily fearing that their child will be labeled as delayed As a result, the child's learning ability is hindered from an early age, with their academic struggles increasing as they enter primary and secondary school, leading to greater academic lag, frustration from parents, struggles from the child, and increased family disputes If tutoring does not yield effective results, expenditure without achieving positive outcomes often leads to further family conflicts, creating a vicious cycle that accumulates a lot of negative emotions in children during their developmental process, which in turn affects various factors impacting their health In reality, the main reasons behind a child's poor academic performance, inability to learn, lack of interest in learning new things, or even developing health-impacting psychological conditions, actually stem from accumulated learning delays during early childhood The period before the age of six is considered the golden window for treating learning delays If these can be identified and addressed during this time, there is a chance that the child's learning abilities can be greatly improved10The industry's current pain points are as follows 1Lack of methodologies for assessing learning abilitiesLack of databases for sample comparisons in the market 2Traditional parental misconceptionsFear of labeling and treatment delays for mild to moderate cases 3Lack of therapeutic materials and toolsShortage of therapeutic storybooks and series courses This project will develop a national talent development support system, utilizing AI Technological development of a system for assessing children's learning abilities that supports parents in safeguarding their children's health from the start of learning ability testing, offering early detection and treatment In the future, all Taiwanese children, regardless of background, will be able to establish a healthy foundation in early childhood, growing up to become valuable assets for national development 2、 As proposed in this planAIApplications and explanations 'Child Language Ability'AI'Analysis Model' This model quantitatively analyzes 'the condition of children's use of Mandarin' when 'expressing an event' Scenario Preschool teachers guide children in narrating storybook contentAITools analyze the sentences used by children to describe storybook content, applying statistical algorithms for quantitative analysis Analysis indicators include 'sentence type' and 'lexical items' Analysis aspects include correctness of sentence structures, diversity of vocabulary, quantity of vocabulary used, and accuracy of vocabulary usage Application Comparative analysis between an individual child and peers' language abilities can offer more detailed language skills teaching by preschool teachers Techniques used Chinese word segmentation, Chinese POS tagging, Chinese syntactic rules analysis algorithm, and quantitative analysis algorithms Tools usedChinese word segmentation tools, POS tagging toolsChinese POS Tagging Tool 3、 Expected Industrial Value Establish a learning ability assessment and support system, through therapeutic storybooks and courses Collaborate with kindergartens to develop learning ability bases, preventing children from being stuck at the starting point Alongside parents, protect children's health starting with learning ability testing, backed by a robust database, allowing parents to identify early any delays in learning, helping children regain their learning abilities 4、 Expected Industrial Benefits Economic Benefit and Future Spread and Impetus By supporting children with delayed learning abilities, enhancing their learning prowess through this project, these children serve as the future of our nation and can thus significantly contribute to national talent development Furthermore, the purpose of establishing a learning ability development base is to help reunite children with their parents, increasing their interaction time, allowing the children to move beyond mere one-dimensional interactions 3C This facilitates two-way interactions between the child and parents, potentially impacting children who may have been otherwise delayed in developing their capabilities due to environmental factors 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-11-15」

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」

With the advent of the post-epidemic era, the development of global telemedicine is in the ascendant, which has greatly increased the demand for smart medical technology in decentralized medicine Among them, if mobile medical devices can provide real-world at home or outside the hospital data for use in hospitals, it is believed that it will reduce the burden of diagnosis and treatment on doctors or medical personnel and reduce health insurance expenses To this end, Singular Wings Medical has launched a comprehensive telemedicine solution, which combines excellent wearable mobile medical device design, innovative software development, AI algorithms and cloud platform services, and will become the last piece of telemedicine puzzle David Lee, the founder and general manager of Qiyi Medical Electronics, said that his original intention to start the business was because he witnessed Taiwan's long-term pursuit of low-cost mass production, which led to the continuous decline in the value of the industry For example, in the past thirty years, The output value of the former Silicon Valley was similar to that of Taiwan's Hsinchu Science Park, but thirty years later, the output value of Silicon Valley reached US14 trillion at the end of 2020, while the output value of Hsinchu Science Park was less than NT15 trillion at the end of 2021 Seeing Silicon Valley's sensitivity to industry needs and disruptive innovations such as Uber, Airbnb, industry trends and the post-epidemic era have driven a surge in telemedicine services, thereby creating high industry value, so I started a business at the age of 45 and conceived how to combine it with Taiwan After more than ten years of accumulated industrial advantages and Silicon Valley's innovative model, we decided to help Taiwan's industry upgrade and find a new path through the integration of the medical industry, ICT technology industry and innovative business models Seeing that Taiwan has always been a gathering place for the most elite talents in the medical industry and electronics and electrical industry, I believe that through the combination of the two and innovative business models, we can have the opportunity to follow Silicon Valley and create a different business According to Taiwan’s Communication Diagnosis and Treatment Methods, Taiwan’s market demand for telemedicine is divided into two situations emergency such as COVID-19 and special necessity such as special geographical locations such as outlying islands or mountains It is allowed Carry out communication medical diagnosis In fact, the development of global telemedicine decentralized medicine is in the ascendant, but the demand for smart medical technology to meet decentralized medicine still needs to be realized In addition to the medical technology gap, it also includes medical treatment flow, patient identification, remote Remote consultation and collection are fueling the push for smart medical technology Li Weizhong observed that for telemedicine decentralized medicine to be successfully implemented, it is best to use telemedicine devices that are used outside the hospital or at home and are easily available in daily life Among them, the data of the device is the key It can provide doctors with out-of-hospital real-world data Real World Data or Real World Evidence that they can trust and apply, so that they can improve their diagnosis and treatment methods In fact, this type of telemedicine device is not popular, making remote medical care difficult to complete In addition, as the number of wearable devices such as bracelets and watches increases, most of the data that these devices can truly provide is insufficient for medical purposes and is not easy to validate and verify Li Weizhong said that people are paying more and more attention to health awareness, which is a positive encouragement for telemedicine devices He believes that as long as there is an appropriate business model and the right way to cooperate with hospitals and doctors can reduce the burden on doctors or medical personnel and reduce health insurance expenditures, Qi Yi Medical Electronics will definitely have the opportunity to become the last piece of the puzzle in telemedicine Founded in 2015, Qiyi Medical Electronics’ core team consists of 22 diversified professionals, including young engineers with medical, engineering and information backgrounds and experienced entrepreneurs, working together to create an overall solution for remote healthcare The solution includes hardware design, software development and backend cloud platform services for the mobile medical device Beatinfor Health electrocardiogram sensor Electrocardiogram ECG is one of the most important vital signs body temperature, pulse, respiration and physiological data of the human body, which can reflect various physiological changes in the human body, such as cardiovascular health, inflammation, infection, bleeding, injury or anxiety index changes For this core concept, Qiyi Medical is committed to using wearable electrocardiograms as its core technology, while collecting important vital signs and environmental parameters such as electrocardiograms, and building AI algorithm systems and backend cloud platform services based on big data and machine learning to help solve remote problems Specific chronic diseases such as cardiovascular disease, sleep problems, and metabolic diseases are the most important in medical treatment Electrocardiogram sensor continuous physiological data monitoring reduces the risk of death in acute heart failure patients by 11 within 30 days after discharge In order to realize remote medical services, Qiyi Medical Electronics has launched a complete set of remote medical care solutions, including wearable mobile medical devices-electrocardiogram sensor BEATINFO ECG, BEATINFO HEALTH APP, and AI algorithms , web pages and BEATINFO HEALTH cloud service platform The BEATINFO ECG sensor is an exclusive device for the BEATINFO HEALTH APP health cloud platform It can be used continuously for 40 hours when fully charged The device is only 15g This sensor can collect the user's electrocardiogram, respiration, and skin temperature through a patch or chest strap , body movements, postures and environmental parameters Currently, BEATINFO ECG sensor has 8 patents in the United States and Taiwan, and won 2 German iF Design Awards in 2017 Mobile medical device-electrocardiogram sensor can provide continuous physiological data monitoring In terms of overall technical features, the BEATINFO HEALTH cloud service platform has four key physiological data detection characteristics continuity, long-range, real-time and dynamic In terms of operation, users can download the BEATINFO HEALTH APP on Android or iOS systems Its interface can provide physiological data status, order health assessment reports such as one-day sleep assessment report or cardiovascular health assessment report, and high-intensity exercise test Cardiovascular assessment reports, third-party remote medical consultation services and other functions Users use patch-type or chest-strap ECG sensors paired with end-to-cloud platforms for continuous physiological detection Before being transmitted to the cloud for further calculations, all data will be de-identified and made available to professionals Data reports are provided for physician judgment The BEATINFO HEALTH cloud service platform has powerful noise filtering processing capabilities, fast waveform recognition and judgment, as well as highly complex cloud architecture and communication technology Why is the noise filter processing capability so important Because medical equipment in general hospitals must require users to complete short-term measurements under static conditions Usually, data in life situations outside the hospital cannot be collected by the hospital, and this data is very important to doctors It is increasingly important to understand the progression of the disease and the condition of patients leaving the hospital Therefore, if we continue to record very weak ECG signals in daily life, we actually need to overcome a very high technical threshold After these signals are processed by the noise, they will first be judged by the AI algorithm before preliminary and rapid conclusions can be made Users can instantly avoid certain fatal risks The cloud architecture provides a deeper level of second-order computing and also covers the business model architecture It provides service models such as user management, automatic report generation, record keeping, alarm notifications, and connection with more services such as third-party alarms Emergency rescue, third-party medical consultation, doctor and patient docking, medical treatment cash flow and other functions In terms of competitive advantages in the industry, compared with the industry's braceletwatch products, Qiyi Medical's electrocardiogram sensor BEATINFO ECG provides accurate medical-level measurements, and can continuously record and collect physiological data, improving any Sudden or sporadic symptoms may occur Compared with the electrocardiogram patch of its peers, it provides real-time data return and web-based management tools, and can produce various reports for managers to remotely manage a large number of users on the web According to statistics from Beijing Medical University, the mortality rate of patients with acute heart failure within 30 days after discharge is as high as 11 If an electrocardiogram sensor is installed on the patient for continuous and real-time monitoring for 30 days, it is possible to reduce part of the risk of death, and at the same time, it can Significantly reduce health insurance costs Additionally, in the case of cardiovascular disease, if the user wears the device for a period of time, regular cardiovascular assessment reports can be obtained and provided for follow-up in-depth examinations by doctors In addition to the measurement of cardiovascular diseases, the ECG sensor configuration can provide home assessment of sleep apnea OSA During the measurement, patients can discover potential and easily overlooked cardiovascular diseases, and users do not need to stay in the sleep ward for treatment After a boring night, through the ECG sensor patch and AI algorithm, patients only need to sleep at home for one night to receive an OSA test report If needed, doctors can access patient status remotely and instantly via any internet browser Therefore, through the ECG sensor wearable service, users can discover hidden and unknown cardiovascular diseases such as arrhythmias related to sudden death from the measurement process to avoid unnecessary regrets Qiyi Medical Electronics’ business model is mainly B2B2C, hoping to assist individuals, hospitals, enterprises, care services and other units to create a win-win situation Li Weizhong analyzed that the business cooperation model is quite flexible, whether it is leasing or buying out wearable measurement devices, or providing annual report subscriptions to reduce the cost of purchasing devices for users, such as including 2-minute electrocardiogram, Flexible subscription package including 7-day cardiovascular health assessment, exercise cardiovascular health assessment, sleep health assessment report, etc Group cardiovascular monitoring system solution creates a many-to-many real-time physiological information monitoring platform to replace diagnosis with prevention In addition to providing individual users with remote mobile physiological data measurement, the BEATINFO cloud platform provides a "group cardiovascular monitoring system" solution that can create many-to-many real-time physiological information monitoring through network technology Based on the platform, patients only need to wear a lightweight monitoring patch, and the back-end system can grasp the changes in their physiological information, so that prevention can replace diagnosis and reduce the chance of sudden cardiovascular death This platform provides 3 functions, including the ability to manage different users into groups and hierarchically, and the number of users can reach tens of thousands it can display users’ basic physiological information in real time on web tools, and can be used under certain preset conditions When triggered, this platform will immediately send out an alarm historical data can also be reviewed on the platform, which is very suitable for doctors to check the patient's disease progression outside the hospital during consultation For the application of the "Group Cardiovascular Monitoring System" solution, taking high-intensity exercise as an example, such as long-distance running and cycling, mountain climbing activities or traveling abroad, a prior cardiovascular health assessment is required activities, and corresponding evaluation reports This report allows users to share it with doctors, so that participants can make assessments before the event or test their training effectiveness, which can significantly reduce the risk of accidents during the event beforehand During the activity, the group cardiovascular monitoring system also provides real-time on-site monitoring of a large number of participants It can be monitored in real time by the AI in the background at the moment of exercise Once an accident occurs, the platform can immediately issue an alarm and even report the accident GPS positioning of the location, and continuously transmits back the user's physiological information during search and rescue, striving for golden rescue time In sports monitoring applications, taking golf as an example, how to improve golfers' puttinghitting performance A player's performance and concentration are usually directly related to personal emotional stability Li Weizhong said that through HRV analysis of Qiyi Medical's electrocardiogram device, it can help determine the player's emotional and stress index performance, and at the same time help golf coaches select and train players The group cardiovascular monitoring system can create a many-to-many real-time physiological information monitoring platform Establish a firm foothold in Taiwan, move towards the US and European markets, and move towards the goal of a data company Faced with the challenges of technology research and development and market promotion, Qiyi Medical Electronics’ automatic identification of electrocardiograms requires a large amount of data for AI calculation development For this reason, Qiyi Medical Electronics must cooperate with hospitals and develop jointly Finish At present, the company has established good cooperative relations with many medical centers and research units, and has overcome these technical bottlenecks one by one In terms of market promotion, Li Weizhong said that the biggest challenge facing Qiyi Medical Electronics is to communicate with the market and let the public understand the differences between competitors' bracelet and watch products and the company's mobile device-electrocardiogram sensor Compared with the common bracelet and watch products on the market that collect electrocardiogram data in a discontinuous manner, it may take a long time to collect discontinuous data before potential cardiovascular problems can be discovered by luck Qiyi Medical Electronics actively promotes electrocardiogram to the public in a continuous manner The competitive functional characteristics of sexual detection data and emphasize that it is a very important means to assist in the detection of many potential diseases, replacing diagnosis with prevention and reducing the occurrence of unnecessary cardiovascular diseases In addition, in terms of business promotion, we also hope to create more opportunities for business matching and new venture capital raising with the assistance of the Corporate Resource Strategy Council Looking to the future, Li Wei and Xu Qiyi Medical Electric Energy will become the last piece of the telemedicine puzzle in the health wearable device-electrocardiogram service Li Weizhong said that in the short term, Qiyi Medical hopes to gain a firm foothold in Taiwan and become a common medical device in everyone's home, just like thermometers and blood pressure monitors The company is also constantly developing new indications Starting from electrocardiogram, coupled with AI and big data, it can deal with more chronic diseases In addition to cardiovascular diseases, we have also successively developed sleep apnea and other more special diseases The applications are aimed at the problems of elderly chronic diseases that modern people are very likely to encounter With a mid- to long-term plan, Qiyi Medical will enter the US and EU markets, become an international company, and continue to aim to become a data company, making good use of the company's long-term collection of data applications to provide services in diverse fields such as new drug development and vaccine development application to create business opportunities and profits 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

The use of drones for intelligent inspection is becoming increasingly common, with major petrochemical and solar power plants continuing to adopt drone applications Located in Hsinchu, Extreme Present Technology earthbook has established a 4D cloud platform using its proprietary technology, offering drone, software, and data analysis platform services for intelligent inspections at solar power and petrochemical plants, reducing the total cost to just one-fifth of traditional methods involving hardware and software purchases, and cutting down the time from one month to approximately 24 hours, making it highly cost-effective For petrochemical industry operators who are constantly in a high-temperature, high-pressure dangerous environment, the safety control and inspection of plant facilities are critical 'As long as we can enhance the capabilities of facility inspection and risk identification in petrochemical sites, resource input is absolutely not an issue,' said a petrochemical industry representative with emphasis By implementing the drone 4D AI inspection cloud platform, the efficiency and safety of facility inspections among petrochemical operators can be elevated, further reducing the risk of equipment downtime Founded in March 2018, Extreme Present Tech has become a consistent winner in domestic entrepreneurship competitions, including being crowned champion in the 2019 OPEN DATA Business Innovation Practice, selected into Microsoft's startup accelerator in 2020, chosen for NVIDIA's AI startup team in 2021, and its products have been launched on the Microsoft Azure platform, earning investments from the National Development Fund and major domestic groups, thereby securing strong market validation for its technical prowess and services The founder and CEO of Extreme Present Tech, Hsu Wei-Cheng, mentioned that at the beginning of its establishment, the company took on the national space center's satellite 3D photography scheduling system and specialized in the integration of geographic information into 3D images As drone hardware technologies matured, the company shifted its operations towards the drone market and combined it with AI image recognition systems to establish a 4D cloud DaaS platform, offering services including online aerial photography ordering DaaS, 5GAIoT cloud platform SaaS, and enterpriseAPI server software, to meet the demands of drones in smart cities, facility inspection, engineering management, disaster response, pollution monitoring, and other applications, maximizing the value of drone services Smart aerial inspection regularly tracks the health status of plant equipment at a glance The quantity and area of petrochemical plants in Taiwan are immense, lacking sufficient manpower for comprehensive equipment inspections Given that petrochemical plants produce high-temperature flammable and corrosive chemicals that must be transmitted and stored through pipelines and tanks, long-term risks like pipeline ruptures and tank blockages could lead to severe occupational safety disasters, equipment downtime, and production stagnation Given the shortfalls in personnel for equipment inspections among petrochemical operators, Extreme Tech has already implemented a 4D AI drone inspection cloud platform combined with AI image recognition technology in petrochemical plant areas, providing ground-breaking evidence through the use of drones and proprietary app software services that connect on-site aerial data collection to the cloud platform, achieving fully automated and real-time aerial monitoring of petrochemical plant equipment pipelines, tanks, and ensuring precise locations and angles for each aerial operation, effectively compensating for the discrepancy in human inspection Hsu Wei-Cheng pointed out that the inspection drones used in petrochemical plants are equipped with dual lenses, one visible light and the other thermal infrared, which allow for determining pipeline obstructions through temperature conditions, enabling clients to immediately view the inspection status of the plant area from remote locations via the earthbook website, enhancing clients' inspection efficiency and accuracy The 4D aerial data platform meets diverse applications such as smart cities, transportation, engineering management, and pollution monitoring DaaS Online Order-Use Model Innovates Aerial Photography Business Model Saving 15 Costs Apart from providing a 4D aerial data platform, Extreme Present Tech also offers DaaS Drone as a Service After customers place orders on the website, Extreme Present coordinates with professionally licensed aerial photographers to provide on-site services Customers can monitor real-time operations through the platform and quickly obtain aerial data to evaluate any abnormalities, enabling timely alerts Take the solar power plant monitoring service as an example Given that solar power plant areas are large and widely distributed, located in the remote Pingtung area with the headquarters in Taipei, for inspections of the Pingtung plant, the customer just needs to use the DaaS service model, directly order online and upload a map of the Pingtung plant, obtain a quote from the company, and then entrust local Pingtung pilots to perform aerial inspections of the solar power plant During the process, the drone's route is automatically calculated by AI to plan the flight path, and the aerial data is transmitted to the client's cloud account, allowing the Taipei headquarters clients to immediately see the inspection status of the solar power plant from the earthbook website such as the condition of the solar panels, dust detection, or abnormal heat generation from solar electromagnetism, effectively helping the customer significantly reduce operational costs and efficiently complete the solar power plant inspection service Introduction of DaaS online aerial photography service in petrochemical plants According to estimates, solar power plant clients often incur high personnel costs by purchasing drones or outsourcing aerial photography With the long-term provision of aerial photography devices and the DaaS business model by Extreme Present Tech, customers can save 45 of aerial photography costs, and obtain aerial inspection reports within 24 hours post-operation, helping clients efficiently identify issues with solar panels Aiming to become the largest aerial data service company and enter the Southeast Asian market Since its establishment in 2018, Extreme Present Tech has rapidly grown in the aerial photography market with innovative thinking, actively expanding its aerial data application services Currently focused on cultivating the Taiwan market, the company aims to enter Southeast Asian nations, with Indonesia chosen as the first stop due to its high demand for infrastructure Hsu Wei-Cheng hopes that earthbook becomes the world's largest aerial data service platform Besides completing the initial round of funding from the National Development Fund and major groups, to penetrate the international market, the company continuously improves its drone data services and AI technology innovations, while also requiring the assistance of entities like the Industrial Technology Research Institute to find strategic investors that complement the company, fulfilling its goal of becoming an international aerial data corporation in phases Founder and CEO of Extreme Present Tech, Hsu Wei-Cheng「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

With the rise of smart manufacturing, there is a demand for industrial safety inspections in high-risk industries such as chemical, energy, and electrical industries Take pipeline inspection in the chemical industry as an example It relies heavily on manual regular inspection and monitoring, and lacks intelligent monitoring by a professional AI team This is not only time-consuming and labor-intensive, but may also cause accidental risks to employees in various industrial safety environments The image analysis AI platform developed by Xinyun Linke not only improves employee personal safety and reduces risk factors, but also significantly reduces the time for human visual inspection of pipeline abnormalities from an average of 100 minutes to 3 seconds Paul Shieh, founder and chairman of Linker Vision Co, Ltd Linker Vision, said, "The overall technological development and progress in the United States comes from entrepreneurship Linker Vision's original intention to start a business in Taiwan has been I hope that through my past experience in entrepreneurship in the United States, I can introduce the American entrepreneurial spirit and culture to Taiwan's budding entrepreneurial fertile ground and truly implement it "American entrepreneurial culture encourages employees to value ownership and emphasizes that employees regard themselves as owners of the company Be a part of the company, with a work attitude and spirit that would be better than mine The company's achievements are your own achievements, breaking the original employer-employee relationship The company will reward outstanding employees with stocks, share the glory together, and establish a partnership with employees Partnership On the other hand, Taiwan still has room for efforts in entrepreneurial culture and management, and it retains the traditional thinking of employers and employees It is expected that Xinyun Linke's establishment of American entrepreneurial culture and values in Taiwan will serve as a starting point to drive more domestic new companies to follow suit, and then Only by upgrading the business constitution of new software AI entrepreneurs can they break out of the cocoon and go global Facing the market, most international players focus on developing AI models and algorithms They are less willing to invest in data-centered Data-Centric AI services They think that processing large amounts of 2D or 3D data is quite time-consuming It’s also energy-consuming Seeing the gap in AI technology and encouraged by Microsoft, Xinyunlinke decided to fully invest in Data-Centric's AI technology layout and deep roots many years ago, and specialize in technical energy in data processing, filtering and accuracy Therefore, Become an important partnership with Microsoft for AI technology supply In addition, due to the gap in industrial demand, domestic large factories, whose strength is chemical manufacturing, still rely heavily on manpower for inspection of pipelines in the factory, which is time-consuming and labor-intensive However, in order to cater to the AI industry, the owner reorganized the IT department originally engaged in database management and control into an AI team However, due to the owner's lack of professional experience in AI software technology, AI models and related domain know-how, the owner introduced AI implementation Industrial safety monitoring in the chemical industry is even more challenging The world's first AI automatic labeling technology surpasses manual labeling and can visually identify objects with an accuracy of over 95 In terms of AI technology power, Xinyunlinke has launched the world's first dual-core innovative technology of automatic labeling Auto-labeling and automatic machine learning to create an efficient and stable image analysis AI platform to provide customers with the best Advanced and complete AI solutions In terms of automatic annotation, this AI technology can overcome the most difficult challenge in deep learning, which is to provide customers with the highest quality training data Taking self-driving cars as an example, how to enable one self-driving car to effectively identify another car is the importance of labeling In the past labeling methods, we first needed to collect digital images of millions of vehicles, roads, signs, and pedestrians, and spent a lot of manpower Manually labeling one image at a time was time-consuming, labor-intensive, high in labor cost, and inefficient Through automatic labeling AI technology, combined with automatic machine learning to automatically label digital images, AI can exclude human error labeling and then throw the correct data into the vehicle's brain for vehicle identification Compared with manual labeling accuracy of only 60, the accuracy of automatically labeling and identifying objects with AI can be as high as over 95 It can also reduce manual labeling time by more than 80 and save at least 80 of labor costs AI automatically marks AI behavior recognition for high-altitude operations In the automatic machine learning part, Xinyunlinke established an AI visual model with continuous learning capabilities to adapt to data changes By optimizing the overall development process, from AI data ingestion and filtering Data Selection to AI labeling AI Labeling , model training and verification, deployment and monitoring, so that AI computer vision can continue to learn more quickly and easily Automatic machine learning can currently be applied to different business cases such as object identification and counting, personnel entry and exit security detection, product defect detection, people flow identification, product shortages on shelves, etc Looking at domestic companies such as TSMC, Formosa Plastics and Hon Hai towards intelligent AI management and purchasing a large number of cameras to meet the image recognition needs of industrial safety surveillance, coupled with the introduction caused by the unfamiliarity of existing customer organizations with AI applications Thresholds and preliminary preparations for image recognition include complicated workflows such as data screening and annotation To this end, Xinyunlinke has been committed to accelerating the development of AI computer vision applications in recent years, providing client-to-end services, and can flexibly deploy according to customer needs Complete automated AI solution services in the cloud, on-premises, or cloud on-premises Xie Yuanbao said that the AI automation technology process provides data selection Data Selection AI technology through domain-type pictures given by customers, helping customers automatically filter out precise such as 10,000 transactions from a large amount of data such as 1 million transactions Data, and by using the AI algorithm technology of Auto-Labeling to replace manual labeling, it can effectively save customers a lot of labor costs and achieve efficient data labeling processing In addition, the AI technology of automated machine learning can help clients customize automatic AI model training or repeated training when the factory environment changes, providing more accurate AI models and allowing customers to operate autonomously Through the above-mentioned key features and advantages of the automated AI technology provided by Xinyunlinke, we believe that it can definitely meet the needs of customers for an automated end-to-end AI independent learning platform, and at the same time, it can significantly save customers the cost of AI team establishment In terms of technological competitiveness, in addition to providing the chemical industry with AI image analysis applications in smart industrial safety, Xie Yuanbao said that Xinyunlinke can also extend the process application of automatic annotation and automated machine learning to different industrial landing services, such as Various fields such as self-driving cars, smart warehousing self-propelled robots and self-driving buses in future smart cities are all in line with the spirit of automated mobility of Mobility as a Service We look forward to the role played by Xinyunlinke The process of image annotation in different industries accelerates the efficiency of developing image recognition services in different fields We believe that by providing client-to-end AI solutions and a complete set of automated AI image analysis pre-operation processes from Data Selection AI technology, Auto-Labeling AI technology, and automated machine learning AI technology, we can greatly satisfy our customers The demand for AI autonomous learning platform Image analysis AI platform sets a new record for smart industrial safety inspections from 100 minutes to 3 seconds Seeing the high demand for industrial safety supervision in high-risk industries such as the chemical industry in recent years, Xinyunlinke launched the "Vision AI Platform", which uses AI image recognition technology Its main functions include real-time AI streaming It has four major functions detection, event notification, defining customer-specific AI models and continuous learning In the real-time AI stream detection part, the Vision AI system can use the customer's factory camera combined with the AI module to perform real-time stream detection of AI image events It can help customers manage various operations and factory environments and keep track of them anytime and anywhere Various work situations in terms of event notification, the Vision AI platform can provide a web version or APP or LINE instant messaging software to provide customers with video records of the events at that time, so that the team does not miss any events, maintains daily production capacity and reduces accidents in defining customers In terms of exclusive AI models, a variety of basic AI models are available, including 8 detection scenarios electronic fences, personal safety equipment, construction safety equipment, construction operations, personnel counting, screen availability, smoke detection, pipeline corrosion and damage , illegal stacking for use in different industries, customers can build exclusive AI models without spending time writing programs in the continuous learning part, the Vision AI system can provide customers with the performance and accuracy of AI models, and have the ability to adapt as the environment changes Continuous learning ability Vision AI has a simple user interface and intuitive operation For cross-field industries, this platform has automated and flexible AI capabilities Customers can build self-defined AI models without spending time writing programs, and Vision AI gives AI models the ability to continuously learn and improve, allowing customers to save the labor cost of building an AI team In addition, the platform can significantly reduce the manpower allocation for routine inspections required for operational safety management, improve employee safety in the working environment, and reduce on-site accidentsrisk factors at various work sites In the platform operation mode, customers can reduce the risk of manual monitoring operations through remote operations, ensuring normal work operations and uninterrupted production operations They can also review high-risk operating situations and collect data to assist in the planning and correction of operating processes In addition, in order to ensure that customers comply with government regulations, Vision AI can help customers control the equipment and safety regulations required in different workplaces at any time through the platform's event notification and management detection The image analysis AI platform is used in cross-field AI image recognition technology Generally, for industrial safety inspections in the chemical industry, most rely on the naked eye of personnel to regularly inspect pipeline abnormalities It takes an average of 100 minutes to scan an area each time, which is time-consuming and laborious, and the pipeline location is difficult to visually observe, which may cause Employees are exposed to accidental risks in various work safety environments In order to reduce the pain points of industrial safety inspections in the chemical industry, Xinyunlinke assists well-known domestic chemical industry players by using an automated image analysis AI platform, combined with customized virtual electronic fences, and using in-plant cameras to configure AI pipeline leakage modules , the AI automatic inspection method can effectively reduce the abnormal detection time to less than 3 seconds In addition, cameras deployed in the factory can automatically record inspection schedules to achieve full-time monitoring, allowing customers to instantly discover and fully control pipelines, minimizing risks In addition, the automated image analysis AI platform can help customers apply fire warnings in factories It is conservatively estimated that the return on investment can be less than 9 months to pay back the investment The longer the platform is used, the higher the cost-effectiveness Build an automatic learning image analysis AI platform for Mobility as a Service in various fields Xie Yuanbao observed that the biggest challenge facing the entrepreneurial culture of software companies in Taiwan is that young new entrepreneurs or employees in Taiwan do not understand the entrepreneurial model and lack the awareness to regard themselves as part of the company owners This has caused It is a pity that your future is unclear or you have a past-experience mentality that prevents you from staying competent in a new start-up company for a long time I believe that the essence of true entrepreneurship lies in every employee rolling up their sleeves and working hard, so that they can truly enjoy the fruits of entrepreneurial profits Otherwise, for young entrepreneurs or employees who often change tracks, it will be like a rolling stone that gathers no moss , I am unable to take a deep root on the road of entrepreneurship, and I lose my ability to solidly accumulate financial independence Regarding the business promotion challenges of Xinyun Linke, Xie Yuanbao said with emotion that because the Taiwan market does not have a deep understanding of AI software applications, it relies more on open source AI visual analysis or machine learning and other resources on the market, but in fact These AI technology resources are limited in their ability to support customers' AI model needs, resulting in uneven quality of AI visual analysis software in the market Therefore, the impact is more indirect on Xinyunlinke's ability to truly provide customers with professional and data-centric AI image analysis services, and it also reduces the company's original business value in customer reference In terms of technical research and development challenges, the visual analysis AI platform cannot rely solely on AI model experts It must gather talents in various fields such as cloud, machine learning, data science, front-end and back-end and other professional team combinations to make the platform operate successfully Xie Yuanbao said that he believes that only through the automatic learning of the visual analysis AI platform, automatic fast and accurate data processing capabilities, and providing customers with complete AI solution services in the cloud, cloud ground Hybrid to pure ground, can we truly Convince customers and stand out from the competition Looking to the future, Xie Yuanbao hopes that Xinyunlin Technology can build an image analysis AI platform for Mobility as a Service to automatically learn in various fields such as self-driving cars, smart warehousing robots, and unmanned buses in smart cities At the same time, I am also grateful to the support of the Industrial Bureau of the Ministry of Economic Affairs for the smooth landing of Xinyunlin Technology in Taiwan and the opportunity to recruit talents from all walks of life to work together In the short-term layout, the company will actively cooperate with domestic players such as Hon Hai and TSMC to implement image analysis AI technology in fields such as self-driving cars, smart industrial safety, and smart warehousing robots In the medium to long term, Xinyunlinke will target the United States, Europe, Japan and other countries as its global market layout, establish investment and cooperation partnerships with major international companies such as Microsoft, and replicate its successful experience and promote it internationally Xinyunlinke official website Xie Yuanbao, founder and chairman of Xinyunlinke 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

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

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