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」

During the opening ceremony of the 2022 Smart City Summit amp Expo co-organized by the National Development Council, Ministry of Foreign Affairs, Taipei City Government, Taoyuan City Government, Kaohsiung City Government, and Taipei Computer Association on March 22, 2022, founder and president of Touch Cloud Cheng-Hsun Li went on stage to receive the "2022 Smart City Innovation Application Award_Smart Security Award" This award is hard-won because after five years of hard work, Touch Cloud brought its core technology of AI image analysis back to Taiwan after gaining popularity in overseas markets, becoming an important smart city solutions provider "Since the company was established, we have positioned ourselves to make AI products that are stable, easy to use, and truly needed by the market" The company's positioning is very clear, this step took Touch Cloud five years It was not until the beginning of 2020 that Touch Cloud launched its first intrusion detection product In less than two years, Touch Cloud has now launched seven products, with each product receiving excellent reviews from the market Specializing in the field of smart cities, Touch Cloud successfully entered the Asian market Founded in February 2016, Touch Cloud originally focused on AOI defect detection However, the definition of defects is different for every customer As a result, applications in this field are mostly project development and could not be commercialized The company later directed its efforts to AI Application Box, a product that integrates software and hardware, and focused on smart cities, including transportation, industrial safety, and security related markets In view of the high acceptance and price advantage of AI in overseas markets, Cheng-Hsun Li targeted the overseas market in the early stages of the company's development, and has produced many successful results in several major countries, including Hong Kong, Singapore, and Thailand Among them, Touch Cloud successfully entered the Hong Kong market with its debut in the Hong Kong International Airport project In 2018, Hong Kong International Airport planned to monitor ships around airline oil storage platforms to prevent ships from colliding with the oil storage platform However, the oil storage platform is located in the middle of the sea and lacks electricity and Internet connection, so it could only set up a camera on shore 3 km away from the platform In addition to the long distance and poor line of sight, monitoring was also affected by weather conditions, such as clouds and fog, and was ineffective Touch Cloud customized an AI algorithm specifically for the project, and continuously collected image data for model training It took half a year of discussions with the customer and system corrections to finally achieve an accuracy rate of 98, successfully completing the goal Touch Cloud won the 2022 Smart City Innovation Application Award_Smart Security Award Minister of Economic Affairs Mei-Hua Wang on the left, Touch Cloud founder and president Cheng-Hsun Li on the right Touch Cloud products have three advantages that provide customers with a better AI user experience 1 Plug and play 2 Provides flexible services, in addition to standard products, customized services meet customers' needs for quick launch and reliable problem solving 3 High adaptability and ability to achieve extremely high recognition accuracy in different environments Cheng-Hsun Li believes that the design of AI products should be as simple as using a "home appliance" and have a clear purpose Therefore, Touch Cloud built an AI Application Box to design products from the perspective of scene applications, focusing on image analysis related to "people" and "vehicles" At present, a total of seven products have been developed, including KekkAI personnel intrusion detection, card swiping and tailgating detection, KekkAI-H construction site safety detection, Abaci-P people flow and head count, Abaci-V traffic flow and vehicle count, Greygoose personnel intrusion detection and people flow, GotchA cross-camera person tracking search, and AISense license plate recognition Cross-camera tracking product GotchA won the Smart City Innovation Application Award GotchA is the product that won the Smart City Innovation Application Award This cross-camera tracking product is unique in the market Its system uses AI technology to search and track people by analyzing their features at the time Users can use image search to search for the path of a specific person in multiple cameras they can also use multiple appearance features to find suitable target groups Using GotchA, you can actively search for lost people, understand the shopping behavior of VIP customers in the mall, and even manage the footprints of visitors in the building For example, it is not uncommon for children to get lost in hypermarkets GotchA can access footage from the entrance camera for an image search, and compare the walking path of the child to quickly find the missing child Using GotchA in shopping malls and amusement parks, where people come and go, to find lost people It not only significantly reduces the time spent by 90, but also transforms the traditional approach of the service counter making an announcement to the lost person into an active search based on image analysis, thereby improving service levels and accuracy Touch Cloud's excellent AI image analysis technology is favored by large enterprises Cheng-Hsun Li said that his experience abroad has taught him to help customers find AI usage scenarios For example, a T-Bar large advertising billboard operator in Thailand wants to attract business, and advertisers want to understand the flow of people to evaluate advertising effectiveness The T-Bar company has more than 1,000 cameras and can determine the type of vehicle from the images and then calculate the number of people, which can be converted to advertising effectiveness After Touch Cloud used the data for training, it can even identify special vehicle types in various countries For example, the nbsp"pickup truck" is a special vehicle type in Thailand Model training is carried out through Open Data, scenario data, and Touch Cloud's self-built database, and can accurately identify traffic flow and vehicle type, which is used to estimate the number of people reached by the advertisement Rapid business development after returning to the Taiwan market from overseas Touch Cloud currently accounts for 70 of the overseas market, with customers in Thailand, Hong Kong, Singapore, Malaysia, Japan, South Korea, and the Philippines In the future, it will also develop into other Asian markets, such as Vietnam In addition to the Asian market, Touch Cloud has not forgotten to serve Taiwanese customers, and began to actively recruit partners to jointly develop the Taiwan market in June 2021 So far, the number of customers has quickly accumulated to more than a hundred Touch Cloud's excellent AI image analysis technology is favored by many companies, and most investors are strategic partners, working together to create synergies and allow Touch Cloud's technology to be quickly applied Cheng-Hsun Li said that it often takes more than five years for an AI startup to get its operations on track, and it takes at least three years to cultivate good AI talents Results are gradually emerging thanks to the considerable flexibility and space given by strategic investors to the company Touch Cloud products are already being put into practical use in major Asian countries such as Hong Kong, Singapore, Thailand, South Korea, and Japan, and are expected to enter more Asian countries within two years, driving more advanced image analysis applications The company hopes to complete representative cases in Asian markets every year, and move towards an IPO as a company featuring AI products

In the small care room, Mr Wang, who is over eighty, is coughing intensely The nurse gently uses a suction device to help him, hoping to make him more comfortable Meanwhile, a sharp-eyed family member notices that the nurse is wearing smart glasses At the other end, the doctor organizes medical records while simultaneously monitoring Mr Wang's condition on a screen With the advent of precision care, it will soon be a blessing for the care market for doctors to remotely monitor crucial physiological information of the cared-for in real time In fact, Hsiung-Hsin Technology, established in 2020, uses smart glasses combined with AI algorithms to launch smart care services as an AI startup Through AI multiple sensors to achieve effective smart care In 2021, Hsiung-Hsin Technology participated in the Ministry of Economic Affairs Industrial Bureau AI Emerging Selection event, cooperating with smart glasses leader Jozhen Technology Jozhen provided millimeter-wave radar and smart glasses, combined with Hsiung-Hsin Technology's AI algorithms, to launch 'AI Care Recognition Service System' and a life-saving 'Fall Prevention System' The 'AI Care Recognition Service System' uses radar millimeter waves and Time-of-Flight ToF among various sensor technologies combined with point cloud and mmWave deep learning analysis in AI algorithms While protecting personal privacy, it can detect patients' physiological data upon hospital admission as well as detect falls and bed exits during bed care The 'life-saving fall prevention system', on the other hand, utilizes artificial intelligence and 3D technology, combined with radar sensing devices, while protecting personal data through 'de-identification' technology, detecting falls in real-time in the environment Building the AI Care Recognition Service System, Hsiung-Hsin Technology is aiming at the smart care market Lee Jia-Hsin, founder and chairman of Hsiung-Hsin Technology, who has worked for IBM Taiwan for 14 years, states that after placing millimeter-wave radar in the medical test field, combined with AI algorithms, they can obtain physiological signals such as the patient's breath and heartbeat Moreover, when paired with Jozhen's smart glasses, during a doctor's consultation, the physician can immediately see the patient's heartbeat and breathing data through the glasses, enhancing efficiency Additionally, Jozhen has also developed a management platform where physicians and nursing staff can view the patient's physiological data at a glance After integrating the 'AI Care Recognition Service System' and 'Life-Saving Fall Prevention System', they were launched and commercialized in June 2021, and officially introduced into Kaohsiung Municipal Triumph Hospital by the end of November last year It not only helps medical staff understand the residents' physiological conditions, monitoring elders' physiological data continuously, but also reduces the burden on medical institutions while preventing accidents and enabling quick action in emergencies to provide optimal medical care Aside from medical institutions, another major target customer group for Hsiung-Hsin Technology's products are long-term care institutions, with ongoing product implementation plans in Tainan and Eastern Taiwan On-demand lightweight design, easy to use and reasonably priced Lee Jia-Hsin mentions that the company's productsservices are developed in-house, designed to be lightweight Depending on the needs of the institution where they are implemented, they may choose between CPU computing or edge computing for flexible configuration, which is very convenient and also comparatively cost-effective In the future, through Jozhen smart glasses, diagnoses can be made more immediately and quickly The method allows nursing or care staff to wear smart glasses when visiting patients or residents The images seen by the nursing staff's eyes are transmitted in real-time to the backend, allowing doctors to make immediate diagnoses based on real-time images and take appropriate care measures, effectively assessing the patient's condition on time Hsiung-Hsin Technology's smart care services have been listed on the Startup Common Supply Contract Platform Last year, Hsiung-Hsin Technology's productsservices were also listed on the Ministry of Economic Affairs, Small and Medium Enterprise Administration's Startup Common Supply Contract Procurement Platform, available for government agencies, public medical institutions, and long-term care facilities to purchase for lease In the future, they hope to expand to private medical institutions and care centers, enabling more care facilities to utilize technology for transformation and reducing the talent shortage in the care market Furthermore, with more than 300,000 elderly people living alone in Taiwan, Lee Jia-Hsin believes that as the aging society approaches, the health and safety issues of solitary elderly individuals are increasingly receiving attention If technological care medical solutions can be incorporated into the subsidy scope for assistive devices, it can also help reduce the burden on local government institutions for solitary elderly care, effectively lowering societal costs Extended application Smart campuses enhance management safety and efficiency Lee Jia-Hsin points out that the company's core values are making life safer and improving living quality The company has developed its own software and hardware solutions for big data, artificial intelligence, and the Internet of Things Using a hybrid cloud development approach, it addresses various types of medical care pain points, enhances medical management efficiency, and improves residents' safety, thus significantly enhancing overall services by medical institutions Hsiung-Hsin Technology's partners include SI businesses, medical care institutions, large chain restaurants, and major venues In the future, there are plans to develop into an AI SaaS company, extending services to Japan, Southeast Asia, and other overseas markets Additionally, Lee Jia-Hsin, who teaches at Tunghai University in Taichung, is also actively promoting the smart campus initiative Currently, Hsiung-Hsin Technology has established a 'smart campus' at Tunghai University, utilizing up to 700 cameras throughout the campus to build a miniature AI SaaS platform for monitoring This not only allows for mask, human traffic, restricted area, and license plate recognition within the campus but also enables automatic records of the campus's flora and fauna, greatly aiding in the efficiency of campus safety management As the population gradually ages, home care becomes a universal challenge With a low doctor-to-patient ratio, both inside and outside hospitals, including extended to care institutions, medical professionals face a scarcity of manpower Using AI technology to assist the elderly care market presents itself as the best solution Besides smart elderly care and smart campuses, Hsiung-Hsin Technology also applies its image recognition technology in places like factory safety and parking lot license plate recognition, and future applications will continue to expand boundlessly Hsiung-Hsin Technology's founder and chairman, Lee Jia-Hsin「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」