Taiwan is moving towards an aging society, and the demand for long-term care for seniors has increased significantly The invisible killer of long-term care - the fall of an elder is an unspeakable pain for home caregivers and care institutions How to turn every unexpected crisis into the most immediate and warm care is a true test of the adaptability and innovation of smart care In order to make filial piety easier, Foreaider Technology has launched the intelligent sensing mattress Foreaider-Z, a thoughtful auxiliary device that can prioritize the physiological information of the elders, allowing the elders to live with dignity, make up for the lack of care manpower, improve the quality of care, and reduce the cost of care The fall rate reaches more than 25, effectively saving more than 200,000 yuan in care costs per person per year “To take care of my mother” was the original intention of Furen Technology when it was established in 2018 Luo Yilin, founder and general manager of Furen Technology, said that he has been a caregiver for more than 10 years and recalled that his mother had A patient with severe mental illness spent 20-30 years in a nursing home Because he was reluctant to leave his elderly mother, Luo Yilin decided to shoulder the heavy responsibility of taking care of her In the past, my mother stayed in a nursing home for a long time, which made her unwilling to contact strangers and made her feel insecure about changes in the environment and space This is why Furen Technology "makes filial piety simpler without changing the living environment of the elderly" "Let the elderly live with dignity" as the ultimate goal of the product, we decided to use advanced sensing technology and AI analysis to deliver appropriate care information to caregivers, eliminating the physical and mental torture that caregivers experience when caring for the elderly We look forward to using smart care AI Technology makes interacting with elders easier Elder falls are the most common accidents that occur when caring for the elderly at home Bed exit warning technology has become one of the important demand indicators for caring for the elderly, Luo Yilin said Insufficient manpower at night is often a headache for the operation of nursing institutions They can only handle daily routine care affairs, but cannot properly manage emergencies or minor symptoms of the elderly, such as falls at the bedside, temporary physical discomfort such as aspiration pneumonia, etc It is a problem that cannot be properly handled by the current ward inspection and shift handover mechanism For nursing institutions, taking bedside falls as an example, a fall may increase the average annual care cost by more than 200,000 yuan per person In order to build a non-verbal communication bridge between caregivers and care recipients, help care institutions quickly respond to the elderly's physiological and medical information, and improve medical care schedule planning, Luo Yilin and the core team gathered caregivers, doctors, and senior engineers and other professionals, jointly independently developed the "Smart Sensing Mattress" Foreaider-Z to provide homes and care institutions with more thoughtful and high-quality hardware and software AI smart care solutions Helping people without being too strict and helping people without blame is the founding purpose of Helper Technology, which mainly delivers on two levels The first is to put people first and make caring for the elderly a warm interaction In addition, caregivers should have a selfless dedication mentality It has been observed that the cared for may not be willing to express their own needs due to different reasons If the needs of the elders can be grasped through smart care technology, it will not only bring more dignity and dignity to the elders Space can reduce unnecessary communication misunderstandings, make the care process smoother, and reduce care costs Smart sensing mattress, the caring guardian of the elders, reducing the fall rate by more than 25 In the technological breakthrough of smart sensing mattresses, combined with the physiological micro-motion sensing technology developed by Furen Technology, it uses air pressure changes for physiological sensing and AI algorithms, so that caregivers do not need to replace the original mattress Place the smart sensing mattress with a thickness of less than 1 centimeter under the elder's original mattress, plug it in and connect it to the Internet Wait 3 minutes for the environment parameters to be automatically matched and set, and the pressure on the bed can begin to be accurately detected changes and interpret the actions and behaviors of the elderly For critically ill and long-term care recipients in nursing institutions, as well as the elderly and infants at home, Furen Technology has launched three versions of smart sensing mattresses, including the smart sensing mattress "Lite version", "standard version" and " Pro version" The Lite version entry-level version, combined with air pressure change sensing technology, can provide home caregivers with relevant identification functions to warn the elderly when leaving bed and inquire about daily routines The OTTALK home care bell APP can be downloaded through the mobile phone, and the caregiver can remotely Set the bed exit warning time and pay attention to the elderly's status of leaving the bed or not, and check the status of work and rest through the mobile phone The standard version, in addition to the bed exit alarm function, can provide caregivers with data measurement status of the elderly's heart rate and breathing during sleep through analog signal calculation technology For the Smart Sensing Mattress Pro version, a three-stage warning function of bed-sitting-up-leaving the bed is specially added, as well as sleep status records such as time in bed, hours in bed, hours of light sleep, hours of deep sleep, hours awake, and number of respiratory arrests and other information, hoping to provide better and more timely services to end customers In terms of business model, Furen Technology provides small-scale care units with a buyout system that integrates smart sensing mattress software technology In terms of cooperation with SI industry players, the company provides hardware equipment for integration and creates more promotion opportunities through SI channels For the empirical application of clinical trials, Furen Technology has currently cooperated with Taipei An'an Nursing Home to successively introduce smart sensing mattresses such as Lite, standard, Pro and other functional products into the care environment to provide diversified services for the elderly Intimate and convenient services of intelligent care During the cooperation process, since An'an Nursing Home is a small institution with a shortage of manpower, the bed exit warning function of the smart sensing mattress helps caregivers quickly remotely determine whether the elderly has left the bed or has fallen, effectively reducing the fall rate by more than 25 Through physiological micro-motion sensing technology, it can quickly help caregivers record the elderly's sleep status the previous night, creating a more convenient communication mode and information exchange mechanism between caregivers and family members In addition, the implementation of smart sensing mattresses can help nursing institutions obtain more positive evaluations in the evaluation Furen Technology develops smart sensing mattresses through physiological micro-motion sensing technology Smart sensing mattress voice AI recognition reduces the number of people sent to hospital for aspiration pneumonia to less than 5 of the overall number of cases Optimizing the voice AI recognition establishment mechanism has always been the goal of Furen Technology’s efforts to improve Luo Yilin said that he was very grateful to Furen Technology for having the opportunity to participate in the development plan of AI care services for respiratory diseases under the guidance of the Industrial Bureau and the Information Policy Council painting, and conducted field clinical demonstration at Puli Christian Hospital Through this project, not only the smart sensing mattress uses AI voice recognition and calculation technology to become more sophisticated, but also an AI training optimization framework is established to allow caregivers at Puli Christian Hospital to respond to the elderly’s upper respiratory tract-cough sounds and lower respiratory tract symptoms -The identification and warning performance of heartbeat and respiratory rate changes are more optimized, and the number of people sent to the hospital due to aspiration pneumonia in care institutions is effectively reduced to no more than 5 of the total number of cases in the month It is believed that with the integration of smart sensing mattresses and respiratory disease AI care services, the service is expected to spread to 5 domestic medical institutions this year Luo Yilin said excitedly that not only that, the smart sensing mattress has also been favored by Japanese dealers and conducted product testing In the next stage, business promotion in Japan will be launched Smart sensing mattress-assisted care institutions reduce the number of people sent to hospital due to aspiration pneumonia Create the integration of long-term care industry software, hardware and service ecosystem to make care simpler Although Furen Technology has only been established for 4 years, it took 9 years to complete product technology research and development Luo Yilin expressed his gratitude for supporting and recognizing the company's entrepreneurial philosophy despite limited manpower and resources The guidance and support of the distinguished people as well as the AI Industry Promotion Plan of the Industrial Bureau of the Ministry of Economic Affairs and the Corporate Information Strategy Council For a small start-up like Furen Technology, there are always challenges and learnings in terms of funding, technical issues, obtaining and processing of production materials and parts However, Huangtian pays off its hard work Driven by the ultimate goal of "making filial piety easier", Furen Technology strives to make smart sensing mattresses the first smart care product in Taiwan that uses air pressure sensing physiological information For the original intention of starting a business that emphasizes the orientation of social value, how to make smart sensing mattresses take into account social value while maintaining a win-win and balance of commercial interests is a strategic issue that Luo Yilin must carefully consider when operating the company's products and business development In the face of business layout, Furen Technology will work hard to stabilize operations and marketing operations in the near future to give back to investors and target customers who have supported the company for a long time In addition, Furen Technology is more active in international business development and product testing in Japan, Vietnam and Poland Regarding the mid-term planning, Luo Yilin believes that the care needs and services of the elderly cannot be completed independently by one industry Furen Technology looks forward to cooperating with more like-minded smart care industry players in the future By gathering the professional energy of each industry, we can build a complete Only with a diverse product chain mechanism can we work together to conquer domestic and foreign markets To this end, Luo Yilin hopes that the company can create an integration of the software, hardware and service ecosystem of the long-term care industry and realize its wish to make care simpler Looking forward to the future, Furen Technology will hope to move from long-term care to preventive medicine I believe that if preventive medicine is managed properly, it will definitely make a great contribution to saving the cost of long-term care Luo Yilin said that more importantly, it will help the elderly in their later life Halftime enjoys a more understanding quality of care and a bright and hopeful life Luo Yilin, CEO of Furen Technology「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

In response to customer demand on a wide variety of products in small quantities in the manufacturing industry, there is an urgent need to find AI solutions from the cloud to terminals Claireye Intelligence provides a solution that integrates software and hardware - BailAI image inspection solution to assist traditional manufacturing industries in improving process efficiency and product quality, thereby achieving the initial goal of transformation After the government declared 2017 to be Taiwan's "First Year of AI," AI startups have sprung up in Taiwan Established in 2018, Claireye Intelligence targets smart manufacturing and provides a platform for AI image analysis and process optimization, using the power of deep learning to detect product defects and abnormalities in the assembly process It assists companies in building infrastructure from terminals to the cloud, which enables automated monitoring of factory production to improve process efficiency and quality Focusing on AI image inspection based on its familiarity with the production line quality control process Shirley Liu, founder and CEO of Claireye Intelligence, is a young entrepreneur She entered the manufacturing industry after graduating from college and held a quality control position in the plastic injection process of hard disk parts "She was already on the production line at the time, and is familiar with the production line process of production machinery" She later switched career paths to marketing and planning, and then worked as an AI product manager When the time came, Shirley Liu decided to start a business, focusing on AI image recognition in the manufacturing industry "The difficulty for enterprises is the lack of an AI development team Even if an enterprise has an AI team, development projects will take a lot of time, at least 6-12 months" said Shirley Liu, who is well versed in the market's pain points The problem that needs to be solved by platforms is to provide services that allow traditional manufacturing industries to build their own AI models without needing employees with a programming background, and to remotely assist production lines with troubleshooting and subsequent system maintenance, helping companies save development time and labor costs BailAI image inspection platform usage scenarios Facing the large number of competitors that provide AI image recognition in the market, what are the technical advantages of Claireye Intelligence Shirley Liu said that many companies currently have AOI equipment, but the bottleneck in the application of AOI is that it can only be used for defect inspection in fast production of large quantities, and parameters need to be adjusted after each inspection or production Based on her understanding of the industry, most SMEs are limited by their financial resources due to AOI equipment often costing over NT1 million, but they also want to use automated inspection This is where Claireye Intelligence comes in Shirley Liu went on to say that it is impossible for traditional manufacturing industries to maintain a technical team that includes AI engineers, data engineers, cloud architects, and terminal architects Claireye Intelligence specializes in software and hardware integration Enterprises can use the BailAI image inspection platform to easily solve inspection problems on the production line In other words, customers only need to provide images or samples for Claireye Intelligence to carry out model training, model deployment, and system integration, and they can easily use AI technology to optimize and monitor production line processes Participated in the AI New Talent Selection and achieved a recognition rate of over 90 in assembly behavioral image recognition For example, a certain connector manufacturer only has 1-2 AI engineers in its technical team The main problem that needs to be solved is that most operators are on the production line, while quality control and senior managers are not on site, and the company wants to understand the actual situation of the production line through remote monitoring Claireye Intelligence uses industrial cameras to capture production line images, and transmits AI image analysis to the remote end Supervisors and quality control personnel can observe if there are any errors in the production line assembly, such as whether the connectors and lines are connected properly, through the monitor Claireye Intelligence's AI image inspection operates on Microsoft's Azure cloud platform, and also utilizes terminal equipment, such as NVIDIA's edge computing equipment placed around the inspection station, to assist traditional manufacturing industries with improving production line efficiency and detecting problems early through an integrated solution from the cloud to terminals Claireye Intelligencersquos customers currently include aviation, electronic peripherals, connectors, and metal industries Assembly process solution for human behavior recognition in assembly lines achieves an accuracy of over 90 In order to demonstrate the depth of technology, Claireye Intelligence participated in the 2021 AI New Talents Selection of the Industrial Development Bureau, Ministry of Economic Affairs, and provided Lite-On Technology with the "assembly process solution for human behavior recognition in assembly lines" The solution determines effective working hours and ineffective working hours of operators on the production line through cameras and AI image recognition It recognizes hand posture and position through images to determine the operator's assembly behavior, achieving an accuracy of over 90 Shirley Liu added that the assembly process of electronic components is complex, mostly carried out manually, and cannot be replaced by robotic arms Claireye Intelligence used cameras to film the assembly process of operators at Lite-On's assembly station The algorithm is then trained and corrected based on the video, and the final trained model can directly determine whether there are any errors in the assembly process to improve the overall process Project development time is expected to be shortened to 1 month by using the BailAI image inspection platform Since its establishment more than three years ago, Claireye Intelligence has accumulated a considerable amount of project experience and hopes to commercialize the project experience Shirley Liu pointed out that the trial version of BailAI image inspection will be completed this year 2022 Customers can choose industrial cameras or video cameras based on the detail of the object being inspected It can even use X-rays to capture images, and then the images are automatically marked by the platform Claireye Intelligence will provide customers with AI application models suitable for the field Inferences can also be made in the cloud or terminals for launch in the manufacturing industry The metals industry, metal casings of industrial computers, connectors, electronic peripherals, and mechanical parts can all use the platform for defect detection and object identification Claireye Intelligence will continue to improve its technical capabilities, accumulate customer experience to complete commercialization, and also accelerate the implementation of AI inspection applications In the mid-term, it will build terminal and cloud infrastructure and shorten the development time of enterprise AI projects from 6-12 months to 1 month, reducing usage time and lowering the threshold for enterprises The long-term goal is to target the Southeast Asian market where Taiwanese businesses are gathered, expand software and hardware integrated AI solutions to overseas markets, and expand the scale of operations

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」