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【2021 Solutions】 GoodLinker Cloud of War Room: The best helper for digital transformation of SMEs

The first difficulty that small and medium enterprise (SME) owners face in the digital transformation process is the purchase of hardware and software equipment, such as sensors and cloud servers, which requires considerable investment. In addition, the equipment will require dedicated personnel for maintenance and management after purchase, which has discouraged many business owners from undertaking digital transformation.

GoodLinker targets this pain point of SMEs when going through transformation and is committed to helping every factory benefit from smart manufacturing. It helps SMEs undergo digital transformation at low cost and without the need for professional talents. Founded in 2018, GoodLinker is a startup that focuses on AIoT technology. The R&D team used international public cloud service platforms to develop the "GoodLinker Cloud of War Room" SaaS subscription service, which can quickly visualize data on the operations of production line machinery, helping companies monitor the status of factory production lines at anytime and anywhere.

Data is the foundation of AI, and carbon reduction requires an inventory to be taken first. The key to the transformation of these enterprises is the digitization of production lines and data collection infrastructure. Digital transformation not only contributes to the success of factories, but also facilitates the upgrading of the overall manufacturing industry chain.

Targeting SMEs with 200 employees

Hui-Yi Feng, founder and president of GoodLinker, specializes in electric machinery. Before he founded the company, he worked for a well-known international mobile device OEM company and is familiar with the operation of Industry 4.0. He found that companies implementing Industry 4.0 were mostly large enterprises with more than 500 employees. Meanwhile, 97% of Taiwan's SMEs need easy-to-use cloud monitoring tools to take the first step in digital operations. Therefore, Hui-Yi Feng founded GoodLinker after returning to Taiwan in 2018, and offered smart manufacturing solutions specifically for SMEs in traditional industries with less than 200 employees.

Cloud of War Room Operations

GoodLinker uses the concept of a cloud platform to build module tools and import them into the war room. Enterprises only need to use smart manufacturing set-top boxes (BCS-M100) to save labor and maintenance costs. They can start using the "GoodLinker Cloud of War Room" without needing to set up their own hosts and maintain computer rooms. Companies can overview the operating status of production lines in their factories through the mobile app or webpage. If there is an abnormal situation, the Cloud of War Room will actively issue a warning to remind the person in charge to take emergency response measures.

This improves quality and management efficiency. There are web and mobile version service interfaces to achieve paperless, digital, and visual production data. Enterprises do not need to build their own computer rooms and maintenance teams, which lowers the threshold for realizing IoT, ESG energy consumption monitoring, and carbon inventory applications.

At present, more than 80% of GoodLinker's customer base are SMEs with less than 50 employees. The company mainly communicates with second generation business owners or factory directors, covering manufacturing, logistics, food processing, and high-density farming industries. The companies all achieved good results after using Cloud of War Room.

For example, farmers who raise tens of thousands of grass shrimps in Tainan needed to manually inspect the water temperature, water quality, and oxygen content in the past. Using GoodLinker's Cloud of War Room service, farmers only need handle matters when they receive a signal of abnormal water quality on their mobile app, and no longer need to monitor the shrimp pond day and night.

Another example is a well-known pork ball manufacturer in Hsinchu. The food processing process must be carried out in a low-temperature sterile environment, and the temperature of meat products is strictly monitored. The Cloud of War Room can provide non-contact temperature monitoring to ensure that meat is fresh and contamination free, while strictly monitoring whether on-site employees are following standard operating procedures (SOPs). The data can also provide production history records for supply chain quality control required by distributors, in order to ensure stable quality and peace of mind for consumers.

Factory directors only need to use the mobile app or website to gain an overview of the operating status of production lines through the Cloud of War Room.

Participation in the AI+ New Talent Selection: Shortens development time

The core technology of GoodLinker is smart manufacturing set-top boxes. The company has participated in the "AI+ New Talent Selection" of the Ministry of Economic Affairs Industrial Development Bureau's AI program for two consecutive years, and has won the favor of many major industrial computer edge computing hardware manufacturers. It rapidly developed products with its technology through technical cooperation, shortening development time, launching software and hardware integrating AIoT services, and applying AI to more efficient industrial data collection from production lines.

▲The core technology of GoodLinker is the smart manufacturing set-top box. At the same time, it will deepen technologies and optimize products and services.

Future development direction

At present, in addition to being a strategic partner of global public cloud service providers, GoodLinker has also become a smart manufacturing service partner of telecom carriers in Taiwan, jointly providing smart factory services through Cloud of War Room. In terms of the company's future business strategy, it will provide more data value-added services in the short term and introduce GenAI technology to further improve internal management efficiency and data interpretation, so as to gain insights into feasible strategies for users. In the medium and long term, the company will integrate more upstream and downstream suppliers to create a "smart manufacturing service ecosystem" to further help SMEs solve their pain points, successfully upgrade, and achieve a resilient green supply chain.

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【解決方案】滴水不漏的智慧工安巡檢 鑫蘊林科Linker Vision的影像分析AI平台 創造巡檢時間從100分鐘降至3秒新紀錄
Watertight smart industrial safety inspection Linker Vision’s image analysis AI platform sets a new record of inspection time reduced from 100 minutes to 3 seconds

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」

這是一張圖片。 This is a picture.
AI Smart Health Prevention Plan

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」

【解決方案】聲麥無線推出殺手級5G即時AI語音翻譯 降低5成口譯成本
VM-Fi launches killer 5G real-time AI voice translator that reduces interpretation costs by 50%

With "Voice as a Service VaaS", VM-Fi Inc launched the world's leading 5G real-time AI voice translation service "VM-Fi," providing AI real-time translation subtitles TranSpeech and AI multi-lingual smart counter TransDisplay The service is applied to real-time translation services in diverse fields, such as international exhibitions, tourism industry, and retail stores The translation service can be quickly set up in 15 minutes, which can significantly reduce the customer's interpretation service cost by 50, creating benefits in terms of time and labor costs This killer application is a product launched by VM-Fi, which has been established for three years It can significantly reduce the cost of interpretation by half It successfully entered the Japanese market and is highly popular among consumers TranSpeech real-time subtitles for speeches and TransDisplay smart counter AI service solution For organizers of international forums and exhibitions, paying high interpretation fees has always been a common pain point hard to put into words According to statistics, to hold an all-English forum in Taiwan, including two interpreters, setting up an interpretation booth, on-site radio station, control panel, and audio, the total cost will be at least NT100,000 to meet the on-site interpretation needs Established in September 2020, VM-Fi launched the "VM-Fi 5G real-time AI voice translation service" In just 2 years, and successively won the Mobileheroes of the Ministry of Economic Affairs Industrial Development Bureau, Start-up competition in the Smart City Project, Qualcomm Innovate in Taiwan Challenge QITC, Japan's JR Kyushu Innovative Business Competition Excellence Award, and the CES 2022 Innovation Award It has not only received praises in the market, but also attracted great attention from Taiwanese investors and was adopted by large Japanese trading companies It hopes to help people around the world avoid communication barriers through smart city solutions, and enjoy a convenient life in smart cities 5G real-time AI voice translation does not require expensive interpreters and equipment and reduces the interpretation cost by 50 The VM-Fi team, which has a solid technical foundation in language translation, digital content, and UX development, has learned that only 20 of high-end consumers in the market can afford the high cost of interpretation To meet the remaining 80 of market demand, VM-Fi combines 5G high-speed transmission and AI voice recognition technology help customers reduce labor and costs Its business solutions can be applied in international exhibitions, tourism services, shopping malls, and online and offline business meetings 5G high-speed AI speech translation service process "Unlike traditional interpreters' sentence-by-sentence interpretation, which is a time-consuming and inefficient process that prevents the audience from smoothly listening to a speech," VM-Fi further stated that the real-time AI speech translation service uses AI algorithms to analyze the speakers speech The AI determines the parts of speech and subject of the speaker, and then immediately translates it The lecturer does not need to wait for the interpreter, and only needs to connect the microphone cable to the VM-Fi 5G real-time AI voice translation service to speak freely The audience can immediately read the translated subtitles 5G real-time AI voice translation was used in the Kyoto Smart City Summit amp Expo for two consecutive years in 2022-2023 The "VM-Fi 5G real-time AI voice translation service" currently supports Chinese, English, Japanese, Korean, Spanish, French, and German, providing translation services between these seven languages During the pandemic, when the demand for online activities increased significantly, VM-Fi introduced the world's first real-time subtitle service solution The contents spoken by the foreign speaker is translated in real-time and displayed on the live broadcast screen, allowing the audience to understand contents shared by the speaker in real time The operation method is also very simple Audiences do not need to download the APP All they need to do is open the Youtube or Facebook live broadcast platforms provided by the organizer The real-time subtitle solution not only saves customers the trouble of translation work, but also allows online listeners to enjoy seamless real-time translation services without any worries Real-time subtitles provide audiences with seamless real-time translation service In addition, the smart counter solution TransDisplay launched by VM-Fi in Japan is also very popular among consumers VM-Fi stated that Japan has a large elderly population and a large number of tourists Especially during the pandemic, most consumers wore masks and there was often a gap in communication The smart counter directly converts the communication between two parties from voice to text and displays on the transparent partition, providing the most considerate service that the public can clearly see at a glance In the future, VM-Fi will work with Taiwanese panel manufacturers, integrating software and hardware to provide voice-to-real-time subtitle translation services in Japanrsquos shopping malls, stations, airports, and government agencies Smart counters provided people with friendly communication services during the pandemic User experience is the key to VM-Fi taking root in the Japanese market Facing the explosive growth of cross-border tourism business opportunities after the pandemic, VM-Fi is confident in business expansion VM-Fi stated that the VM-Fi 5G real-time AI voice translation service has demonstrated excellent product and service resilience during the pandemic, and can flexibly meet customer needs for various physical or online services VM-Fi plans to establish a headquarters in Japan before April 2025, and actively cooperates with Kansai and Kyoto prefectural and municipal governments to expand its operations After establishing a solid foundation in the Japanese market, the EU market will be the next important target VM-Fi participated in fundraising activities of the AI Founders Alliance of the AI Program of the Industrial Development Bureau, Ministry of Economic Affairs The company relied on the assistance of the Institute for Information Technology III, Taiwan-Japan Industrial Collaboration Promotion Office TJPO, and the Japan External Trade Organization JETRO to actively seize Japan's market "Japan's market not only values digital transformation, but also user experience UX" Therefore, after the successful launch in Japan, everything will fall into place when it expands to other markets around the world VM-Fi app in Japan's shopping malls, stations, airports, and government agencies VM-Fi is a startup with passion and innovative spirit nbspfounded in 2020 We focus on AI speech recognition and real-time translation technologies, and are committed to allowing people around the world to enjoy high-speed speech translation during international speeches, at service counters, and during communication, completely removing the language barrier and allowing everyone to enjoy equal rights to information VM-Fi's AI service is not only a technological innovation, but also a commitment to global sustainable development A Digital solutions We are committed to reducing paper use Every sheet of A4 paper saved reduces carbon emissions by 78 grams, using practical digital solutions to promote environmental protection B Renewable energy decisions We choose cloud services that use renewable energy and plan to achieve the goal of using cloud services that use 100 renewable energy by 2025, in order to create a greener technology foundation for the future C Water saving decisions We are committed to using cloud services that achieve positive water benefits before 2030, ensuring that the replenishment of water resources exceeds consumption, and contributing to the future of the Earth D Net zero emission decisions When using new data centers, we will choose net-zero deforestation to protect the natural environment E Sustainable development goals Through the decisions above, we are making active efforts to achieve the United Nations Sustainable Development Goals SDGs 4, 7, 9, 10, 11, and 13, exerting every effort to create a better world VM-Fi's vision is to create a world without communication barriers, allowing everyone to communicate freely and jointly move toward a better future Let us work together to contribute to global communication equality and sustainable development, and create a greener and better future nbsp