Solutions | AI HUB

Special Cases

【2020 Application Example】 "AI Color Recognition and Cost Optimization Control System" automatically recognizes colors, breaks through the traditional color grading model, significantly reduces costs, and improves yield!

Mixing new colors relies on the experience of master craftsmen The so-called "computer color matching" in the paint industry is simply the selection of "existing colors" for mixing, but there is actually no way to mix paint for a ldquonew colorrdquo and it all relies on the experience of master craftsmen Hence, it is necessary to start from scratch when a new color is encountered, which consumes a lot of manpower and time Moreover, due to the different color mixing habits of each master craftsman, the cost can be significantly different despite producing the same result The trilogy when paint factories face the crises of transformation I Lack of color mixing standards Generally, when traditional paint factories produce new colors, they will use a "spectrophotometer" to measure the LAB value of the sample color, and then the paint mixer will mix the paint of that color based on past experience After color mixing is completed, the instrument will be used to test the LAB value and C and H wavelength This process does not have a complete system and database records, and there are not standards for color mixing II Production costs are difficult to control Paint factories produce many pigments with different materials and functions, and the cost of paint will vary depending on the "color masterbatch material" used Even if the color number of the masterpiece is the same, the cost will be different if the ratio of the color masterbatch is different Paint mixers do not have a set of color mixing standards when mixing paint, making it difficult to control production costs III The color grading process is lengthy and personnel training is difficult As instruments cannot replace manual color mixing, the training of a paint mixer requires years of experience in paint mixing, familiarity with chromatology, as well as basic understanding of hue, saturation, and brightness If there is no basic reference color values when mixing paint, the paint mixer must spend a lot of time repeatedly mixing colors, resulting in a loss from time cost Developing an "AI Color Recognition and Cost Optimization Control System" The paint factory engaged in industry-academia collaboration with the Department of Computer Science amp Information Engineering of Chaoyang University of Technology through CDIT Information Co Ltd, and utilized the university's AI research capabilities to jointly develop the "AI Color Identification and Cost Optimization Control System" It established a database of "paint color numbers" and "color masterbatch material cost," and analyzes the optimal color mixing and optimal cost formula through data mining methods The paint mixer can refer to the formula analyzed by the system for color mixing, and then input the formula into the system after paint mixing is completed The formula is fed back to the basic database and an "artificial neural network model" is used by the system for deep learning, establishing a color grading standardization system for cost control and data collection, so as to solve the current difficulties faced by paint factories In the early stages of system development, CDIT planned the system requirements of the paint factory, established the system architecture and system database, and then worked with Chaoyang University of Technology on the implementation of model functions for the application of data mining and artificial neural network After the system is completed, CDIT will assist the paint factory in system testing and correction The system will be introduced after correction and testing are completed, and training on system use will be provided to ensure the correct use of the system System Screen Differences before and after using the system Expand new markets for the paint industry to see the paint industry thrive The "AI Color Recognition and Cost Optimization Control System" collects the color mixing formulas of paint mixers, establishes a paint color masterbatch formula database, and records the cost of each color number The system's deep learning function is then used with a spectrophotometer to analyze the optimal color mixing formula for each data entry, so that the paint factory can control the cost of paint mixing The optimal color mixing formula recommended by the system increases the speed of paint mixing and increases output value Future benefits include The improvement in product yield reduces customer complaints and improves customer satisfaction The breakthrough in the traditional color mixing model improves corporate image Improves the efficiency of paint mixing, and allows the remaining time to be invested in training to enhance the professional capabilities of personnel It will also allow the joint expansion of new markets with the paint industry and learning of new application technologies, and promote them to other paint companies, enhancing the industry's overall competitiveness to see the paint industry thrive

2020-08-11

【2021 Application Example】 Advancing to Smart Logistics 5.0: Hsinchu Logistics Delivers Medical Materials with Ultra-High Efficiency

After incorporating AI technology, traditional logistics companies have seen significant improvements in transportation efficiency and reductions in transportation costs, especially in the transfer of medical materials which involves timely service and rights of hospitals and patients The implementation of intelligent logistics can save medical material businesses the cost of constructing GDP warehouses and other expenses up to millions A major domestic logistics leader, Hsinchu Transport HCT, owns a fleet of 3,500 vehicles and a storage area of 60,000 square meters, providing customized logistics solutions including logistics, commerce, finance, information, distribution, storage, and processing The company handles up to 580,000 parcels per day, with a maximum capacity reaching 900,000 parcels, making the enhancement of transshipment efficiency crucial for HCT Medical materials transportation at hospitals need optimization of current operational processes and enhancements in systematization and intelligence Especially the transportation of hospital medical materials, which encounters various challenges Medical materials suppliers need to cater to varying customer product demands, temperature requirements, and delivery times through multiple logistics providers This highly depends on the experience and careful control of operations staff Whether it is the product shipment or actual logistics process, each step must be interconnected Any human errors can impact the service timing and rights of the hospitals and patients Thus, all concerned businesses, along with the government and hospitals, are working to optimize current operational processes and elevate the level of systematization, automation, and intelligence to minimize service errors and cost losses HCT's distribution process prior to AI implementation Currently, with the government's push for standardized platform operations on the demand side of hospitals, supply-side businesses collaborate through data coordination to improve the accuracy and efficiency of product shipments, enhancing operational quality and management benefits at the demand side At the same time, some businesses are also investing in the standardization and systematization of internal operational processes, thus enhancing operational efficiency and quality In the freight logistics sector, logistics companies' warehouse staff need to expend labor to control different logistics shipment operations If they often receive emergency task notifications for shipments to medical facilities, they usually depend on small regional logistics providers to provide customized delivery services Although this improves delivery times, it does not allow for integrated informational services The new GDP regulations for medical materials require suppliers to undergo GDP compliance certification Therefore, Hsinchu Transport, assisted by the Ministry of Economic Affairs' AI coaching program, not only extends existing logistics services compliant with GDP regulations but will also use data integration and optimized AI technologies to help medical material businesses streamline and improve their logistics operations Complex logistics issues are solved using the Simulated Annealing SA algorithm To meet the 'Good Distribution Practices for Medical Devices,' Hsinchu Transport is not only actively introducing new logistics vehicles but will also implement artificial intelligence-based mathematical optimization technologies to assist in intelligent scheduling at nationwide business points and transshipment stations They aim to optimize the routing of medical materials between business points or regions thereby enhancing efficiency in the distribution process Currently, during the transshipment process of medical materials at Hsinchu Transport, detachable tractor heads and containers are used Each business point and transshipment station differ in location design and staffing, impacting the throughput per unit of time Furthermore, daily cargo conditions size, destination vary, and due to these fluctuating and distinct demands, the deployment of tractor heads and containers changes accordingly Under these circumstances, Hsinchu Transport relies on past experiences to schedule departures at each satellite depot and adjusts daily according to the cargo needs Due to the reliance on empirical scheduling, it is often difficult to consider all variables and considerations, leaving room for improvement in the current departure schedules The cargo delivery planning inherently constitutes an NP-Hard problem, difficult to solve with traditional analytical methods Hsinchu Transport, in collaboration with Singular Infinity, utilizes the Simulated Annealing SA algorithm to find solutions The new logistic service introduced by Hsinchu Transport is 'GDP Container Shift Planning' This planning involves estimating future volumes of medical materials between stations and scheduling container truck shifts accordingly, ensuring timely and quality delivery of medical materials while maximizing operational benefits and reducing travel distances Hsinchu Transport introduces AI-optimized shift planning, constructing the most efficient route from its origin to destination Hsinchu Transport introduces 'Optimized Shift Planning' service, reducing transportation costs by 5 The introduction method involves using cloud software services Hsinchu Transport regularly inputs 'Interchange Item Tables' from station to station into the 'Optimized Shift Planning' service After setting the algorithm parameters, a GDP container shift schedule is generated At the same time, developing a Hsinchu Transport medical material scheduling system allows Hsinchu Transport's medical transport units to compile suitable schedules through the Interchange Item Tables Under the same level of service, it's estimated that this can reduce transportation costs by 5, saving medical material businesses millions in construction costs for GDP warehouses and distribution Due to its requirements for sanitation, temperature, and its fragility, the transportation and transshipment of medical materials should be minimized to reduce exposure and risk However, logistics efficiency and costs must still be considered AI designs the most efficient route for each cargo from its origin to destination, effectively completing daily transportation tasks In response to the future high development demand of industrial logistics, distribution and transshipment AI optimization will be a key issue Through this project, a dedicated project promotion organization will be established, staffed with AI technology, IT, and process domain talents After accumulating implementation experience, the application of AI will gradually expand, comprehensively optimizing and transforming Hsinchu Transport's operational system, and partnering with AIOT and various AI domain partners to accelerate and expand the achievement of benefits「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

2021-10-14

【2022 Application Example】 Even the United Nations is on board! Yoyo Data Application captures global business opportunities with agricultural data

Nearly 2,000 days in the fields have made Yoyo Data Application a top player in Taiwan’s agricultural data sector Their comprehensive grasp of crop yields, production periods, and prices has enabled them to collaborate with the United Nations The service area for agricultural land skyrocketed from 24 hectares to over 6,000 hectares in less than three years—a 250-fold increase For Wu Junxiao, founder and CEO of Yoyo Data Application, aligning with global environmental trends and becoming a data company at the intersection of climate technology and the green economy to serve the global market is his ultimate entrepreneurial goal Wu Junxiao, originally an engineer, joined the Industrial Technology Research Institute in 2010, where he honed his profound technical and data science analytic skills 'At that time, I was working in data analysis engineering, and almost all data-related materials would be directed to me Additionally, I worked on indoor cultivation boxes, planting vegetables and mushrooms, hence planting the seed of entrepreneurship by integrating agriculture with data analysis,' Wu recalls Since 2016, Wu Junxiao has been frequently visiting farms to 'embed' himself among farmers and agricultural researchers, chatting and sharing information systematically, which quickly established his agricultural know-how Solid data analysis capabilities have even convinced the United Nations In 2017, he left the Institute to start his own business and founded Yoyo Data Application in 2019 Today, many agricultural businesses are his clients, with service areas rapidly climbing from 24 hectares to over 6,000 hectares, expected to surpass 7,000 hectares in 2022 His clientele includes markets in Japan, Central America, and even entities under the United Nations like the World Farmers Organization, which utilizes the 'Yoyo Crop Algorithm System' supported by Yoyo Data How exactly does Yoyo Data Application manage to impress even UN agencies The 'Yoyo Crop Algorithm System' developed by Yoyo Data Application accurately predicts the production period, yield, and prices Firstly, due to Wu Junxiao's precise mastery over agricultural data, Yoyo Data Application's clients don't necessarily need sensors or other hardware devices 'Sensors are expensive and if you buy cheap devices, you just collect a lot of noise or flawed data, which is useless,' Wu explains He continues, 'Collecting data doesn't necessarily require sensors our data solutions can solve problems more directly and effectively' For instance, one of Yoyo Data Application's products, the Yoyo Money Report Agri-price Linebot, developed in collaboration with LINE in 2020, gathers data on origin, wholesale, and terminal prices spanning over 10 years, driven by Yoyo Data’s proprietary AI algorithms This enables the system to autonomously learn about agricultural product trading prices, using big data and AI to perform price prediction analysis, thereby helping buyers reduce transaction risks and expanding the data application to the entire agricultural supply chain Regarding banana prices, the accuracy of price predictions increased from the original 70 to 998 Wu Junxiao notes that both buyers and farmers are very sensitive to prices Now, through the Yoyo Money Report service, both buyers and farmers can precisely understand the fluctuations in agricultural product prices Yoyo Data can also provide customers with optimal decision-making advice based on predictive models for crop growth, yield, and price estimations Currently, price predictions cover 28 types of crops Precise estimates of production periods and price fluctuations allow Yoyo Data to provide differentiated services based on data analysis The 'Yoyo Crop Algorithm System' provided by Yoyo Data Application incorporates a 'Parameter Bank', usually collecting 200-300 parameters, not just straightforward data like temperature and humidity, but also data divided according to the physiological characteristics of the crops Through effective dynamic data algorithms, it can accurately calculate when crops will flower and when they can be harvested, what the yield will be, and so forth For instance, the prediction accuracy of the broccoli production period is 0-4 days, with the flowering period predicted this year to be precisely 0 days, perfectly matching the actual flowering time in the field In these dynamic calculations, a 7-day range is considered reasonable, and the average error value of Yoyo Data's predictions typically ranges from 2-4 days, with most crop production period accuracies above 80 Through effective dynamic data algorithms, over 120 global crops can have their production periods and yields accurately estimated Using these effective dynamic data algorithms can set estimates for production quantities, helping adjust at the production end Yoyo Data Application's clientele primarily includes exporters of fruit crops like pineapples, bananas, guavas, mangos, pomelos, sugar apples, Taiwan's agricultural production is highly homogenized, often leading to a rush to plant the same crops and resulting in price crashes Yoyo Data Application helps clients differentiate their offerings Thus, Wu Junxiao positions his company as a boutique digital consultant, carefully selecting clients for quality over quantity He notes that Taiwanese agricultural clients focus on how to improve yield rates, even categorizing yield rates by quality, aiming for high-quality, specialized export markets whereas international clients prioritize maximizing per-unit yields, showing different operational approaches in domestic and international markets In addition to agricultural fruit, Yoyo Data Application has also extended its services to the fisheries sector, including species like milkfish, sea bass, and white shrimp, all using the same system to establish various parameters related to the growth of fish and shrimp, such as when to feed and when to harvest, and the anticipated yield, timing, and prices Yoyo Data Application harnesses the power of data to create miracles in smart agriculture In response to the company's rapid development, Yoyo Data Application introduced venture capital funds in 2021 to expand its staff and promote its business Wu Junxiao states that in response to the global trend towards net zero carbon emissions by 2050, he plans to help clients plant carbon in the soil, effectively retaining carbon in the land while also connecting clients to carbon trading platforms, creating environmental business opportunities together Wu Junxiao says that from the start of his entrepreneurial journey, he positioned the company as a global entity, thus continuous international collaborations are planned As a data company serving a global clientele and focused on climate technology and the green economy, this represents Wu’s expectations for himself and his company's long-term goals Yoyo Data Application founder and CEO Wu Junxiao「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

2022-03-14

【2020 Application Example】 Peeking into a Baozi to See How AI Reduces Scrap Rates by 50% and Boosts Production Efficiency by 60% for Frozen Foods

From production line to dining table, who oversees the hygiene management of what we eat In recent years, there has been a continuous stream of news reports concerning food safety, such as repackaging expired goods, and poisoning incidents at Hong Rui Zhen It's clear that people are increasingly concerned about the hygiene of their food However, due to various quality control methods in food processing, there are inherent risks The World Health Organization WHO has pointed out that unsafe food and water cause physical harm to 2 million people each year Hence, international markets demand that food processing companies must establish a traceability system for products This is why major domestic food processors also aim to set up a production traceability system to quickly trace back to problematic raw materials and initiate recall and destruction of problematic food Visible assurance, implementing production transparency A major domestic food manufacturer producing frozen food and instant meals has expanded its market presence to North America, New Zealand, Japan, etc They are also at the forefront in promoting food management domestically, having obtained certifications such as HACCP, ISO22000, ISO14001 Since food production is labor-intensive, it is prone to quality impacts caused by worker fatigue Additionally, the production lines often have unclear records of production quantities, processes, and timing This obscurity in traceability makes it difficult to track production information when defects occur, leading to food safety management gaps that result in the scrapping of entire batches To address this, the Production Development Center at National Sun Yat-sen University utilized its advisory resources to help the food manufacturer tackle food safety management challenges, planning the use of AI technology to collect production data and establish anti-fraud and traceability for food production Intelligent manufacturing boosts food safety Although the level of automation is not high in the processing of bakery products, the food plant in this case is keen to enhance the automation of its production lines and introduce smart manufacturing For businesses, a traceability system not only helps establish brand image and increase product and brand value, but also gives consumers peace of mind due to the transparency of production lines Therefore, the Production Development Center at National Sun Yat-sen University matched AI technology service providers, Hong Ge Technology, in the first phase to plan the introduction of data collection devices to link food work orders information, reducing human operational omissions and capturing real-time production information through dashboards to ensure the consistency of production stage information potentially affected by human factors Schematic for intelligent production line planning The second phase involves using deep learning during the dough fermentation stage to calculate size and volume, analyze the relationship between temperature, humidity, fermentation time, and product volume, and assess whether to introduce AOI foreign object detection after freezing as a second quality control step Schematic of AI-integrated quality control for finished products Food processing ID card, launching the AI-era of food safety tracing In Taiwan, the understanding and acceptance of production history by consumers is gradually improving From the supply of raw materials, processing, production, to distribution and sales, it is necessary to have complete control and provide transparent information Publicly disclosing the production history not only increases trust between enterprises and consumers, but also aligns Taiwan's food safety environment with international standards In 2020, the Production Development Center at National Sun Yat-sen University will assist enterprises with the adoption of advanced AI technology, documenting the entire data process from industry to dining table and supervising food production processes to successfully implement product tracing, prevention of adulteration, and the establishment of high standards for products, thus advancing food processing products to international standards「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

2020-03-12

Records of Solutions

【2022 Solutions】 After five years of hard work in image recognition, Touch Cloud won the Smart City Innovation Application Award

#AI Technology Application

#Smart City

#Cross-camera Tracking

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

【2022 Solutions】 Insight into consumer behavior and intelligent interpretation using AI to assist the catering industry with smooth transformation

#Artificial Intelligence

#Digital Transformation

#Zhineng Translation

In May 2021, due to the local COVID-19 outbreak, a ban on internal use was adopted, making the catering industry feel like it has entered a cold winter, with business bleak and operations facing difficulties However, there are also catering companies that have turned the crisis into an opportunity and actively carried out digital transformation, introducing online ordering and delivery platform systems, establishing customer membership systems, etc, to effectively reduce inventory and increase sales Intelligent Interpretation, a new start-up company established just one year ago, acts as a transformation consultant for the catering and retail industry, collecting, connecting and analyzing consumer behavior data to provide the best solutions for the cateringretail industry Li Qihan, the founder of Intelligent Interpretation, is good at online marketing and website construction As AI technology continues to evolve, he graduated from the Northern Phase II Manager Class of Taiwan Artificial Intelligence School AIA and was impressed by the large number of website sales Data and marketing analysis data can help companies improve their competitiveness and reduce operating costs Therefore, we established an intelligent interpretation company with Taiwan Artificial Intelligence School alumni, hoping to use member information to start collecting more first-party data to help customers build customer vision Analyze the data and identify relevant sales opportunities Targeting the catering and retail industries, intelligent interpretation helps stores use AI to transform "There are many small and medium-sized restaurants in Taiwan We hope to help these small and medium-sized restaurants use simple cloud services and social tools, such as Line, to start collecting and establishing member information systems and collect relevant information Consumption data is used to establish behavioral models of different consumers" Li Qihan went on to say that the catering and retail industries will be targeted at the initial stage, and different consumption behavior analyzes will be used to help stores further increase the frequency of customers visiting the store and the frequency of dining or purchasing, and reduce the use of ingredients Preparation costs The main features of the AI service of intelligent interpretation Affected by the ongoing epidemic, which has severely impacted the performance of physical stores, intelligent interpretation also assists physical stores in establishing e-commerce websites or shopping malls, combining physical and virtual consumption data to provide 360-degree OMO consumers Analysis, and can send marketing messages to different consumers, reducing the large-scale and indiscriminate casting of traditional marketing methods that cause customers to blacklist merchants or block lines, and also increase consumers' willingness to click and purchase Will Li Qihan pointed out that the AI service of intelligent interpretation has the following characteristics 1 Use LINE combined with membership system 2 Use QR Code to replace membership card 3 Provide LINE online orderingreservation 4 Use AI to analyze consumers’ personal preferences 5 Send coupons based on consumer behavior and preferences Using Line ordering information, you can understand consumer behavior such as consumer type, taste, time period, ordering frequency, etc, find consumers of the same group, and conduct summary analysis, which is important for one-to-one customized marketing Reference Li Qihan emphasized that the cost of digital marketing at this stage is very high If there is no classification and grouping after acquiring customers, preferential information will be distributed randomly and easily blocked by consumers The conversion rate will become lower and lower, and the marketing budget invested previously will be in vain AI combines the advantages of MarTech to provide exclusive customized services Although Intelligent Interpretation is a new startup that has been established for nearly a year, in terms of the company's future development strategy, Li Qihan hopes to use MarTech combined with the advantages of AI to first assist the catering and retail industries that are currently most in need of digital transformation Quickly enter the first stage of digital transformation, establish member information and collect consumer data, and then assist these companies to enter the second stage of digital transformation, analyze and use these consumer data, and provide exclusive customized services Li Qihan said that Taiwan’s MarTech market still has considerable room for development Most companies think that advertising on the Internet is the so-called MarTech, or that combining website data with advertising conversion rates and looking at the GA report Google Analytics every day is the so-called MarTech However, he believes that the above situation is only It stops at the collection and analysis of marketing data and is not integrated into the corporate sales and management levels In fact, after the data is collected, it still needs to be integrated, analyzed, and applied according to individual business scenarios This is the real MarTech application method Li Qihan, founder of Intelligent Interpretation, shared his smart retail experience at the AIGO forum As for most companies that believe that as long as they have data, AI algorithm analysis can solve all problems, Li Qihan suggested that companies should have a correct concept of data First, it does not have to be big data AI algorithms can also work with small data Great effect 2 Data is accumulated year by year To collect information, you need to understand the purpose and needs After collecting data, you need to find out its correlation That is to say, first define the use situation and the problem you want to solve, collect data, Only by analyzing data and using machine learning to identify undiscovered sales opportunities can we start to provide marketing application suggestions "The key to the success of using technology for digital transformation lies not in technical issues, but in concepts AI is not a magic pill that will take effect after taking it AI is more like a health food and must be taken continuously to help adjust the corporate body" This is Li Qihan realization He also mentioned that there is an 8020 rule in customer management How to define the 20 customer group What is the definition of VIP customer What issues does the company want to analyze What data should be disassembled It is necessary to peel off the cocoons layer by layer and clarify the above issues one by one This is the "basic project of the sewer" If the foundation is stable, there will be no problem in building a few more floors on top The Industrial Bureau of the Ministry of Economic Affairs’ AI problem-solving competition creates a win-win situation for enterprises and innovations Intelligent Interpretation has assisted the internationally renowned catering chain Din Tai Fung to participate in the AIGO "Problem Solving" competition of the Industrial Bureau of the Ministry of Economic Affairs It understands that almost all catering industries have problems with how much to prepare Many times, when there are too many guests, there is insufficient preparation There are fewer customers, resulting in a waste of ingredients Therefore, it is very important for restaurants to predict the number of customers every day Intelligent interpretation suggestions can be based on weather, store location, and special holidays such as Valentine's Day, Mother's Day, etc through AI , special time parents’ birthday, wedding anniversary and other data correlation analysis, the estimated number of guests is expected to increase the accuracy by more than 80, effectively using AI to solve the problems of catering operators Restaurant Consumer Service Flow Chart Li Qihan pointed out that "industry problem solving, new innovation problem solving" can help enterprises and AI startups find common goals, and also solve the dilemma of new startups not getting usable data, and provide identification through matchmaking on the enterprise side Based on the data, AI startups can put algorithms into practical application, and enterprises can also get solutions for digital transformation, creating a win-win situation After the epidemic, digital transformation is related to the life and death of enterprises How should the cateringretail industry choose AI companies and introduce them Li Qihan, who currently serves as an AIGO smart retail coach for the Industrial Bureau of the Ministry of Economic Affairs and a number of AI consultants, said frankly that if data analysis does not have a certain degree of understanding of AI and practical implementation experience, there may be a high chance of failure in project execution In the retail industry, when it comes to choosing an AI project company, it is best to choose a company that has actually introduced AI projects or has experience in operating e-commerce The recommended principles and steps for introducing AI into the cateringretail industry are If the problem the company asks is too big, it needs to continue to dismantle it Because different problems naturally require different ways of collecting data, with the help of consultants step by step After dismantling, use the data collected according to the usage situation to analyze, and you will naturally get the answer to the problem you want to solve After you find a certain accuracy, you can then use transfer learning to solve similar problems one by one Looking to the future, Intelligent Interpretation hopes to become the number one AI company in Taiwan in the catering and retail industries, using simple and practical methods to help the catering and retail industries implement AI and improve the competitiveness of Taiwan's industry「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

【2022 Solutions】 AI + Smart Glasses: Hsiung-Hsin Technology Targets Smart Care Market, Ensuring Safety and Security for the Elderly

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」

【2022 Solutions】 Post-epidemic sports technology explosion, Yongpeng Technology’s transformation is successful

#Post-Pandemic Exercise Technology

#Smart Display Market

#AI Virtual Fitness Coach

After the COVID-19 epidemic, health awareness has increased, but consumers' exercise habits have changed Closed gyms are far less safe than using "zero-contact" exercise technology such as sports fitness mirrors at home Therefore, there has been a huge explosion of sports technology after the epidemic Yongpeng Technology has caught up with this trend and has successfully transformed Smart display is the last mile of future life Electronic billboards, guides, display machines, advertising machines and TVs can be seen in industries such as education, retail and department stores, catering, media, hotels, medical institutions and automobiles Walls, etc, the application range is quite wide According to the latest statistics from Allied Market Research, the global smart display market will reach US378 billion this year 2021, and is expected to reach US1825 billion by 2028, with an annual compound growth rate from 2021 to 2028 Reached 216 Company positioning Display technology software and hardware integrated solution provider Yongpeng Technology, established in 2014, positioned itself as a provider of display technology software and hardware integration solutions when it was founded, providing various electronic signage products In addition to different LCD screen sizes to choose from, Yongpeng Technology We also provide high-brightness, high-contrast or thin-frame models, and even design products that meet customer specifications for various special needs, such as touch, optics, heat dissipation, etc We have also signed agency sales and OEM contracts with major panel manufacturers Contract to assist in the design and development of related products Face recognition thermosensors play a considerable role during epidemic prevention In 2018, it stepped into the integrated development and application of AI big data, and launched AI facial recognition access control temperature sensing machines in 2020 In 2021, it launched AI human movement behavior recognition for AI virtual sports and fitness coaching services Among them, in terms of AI virtual sports and fitness coaching services, we cooperated with the Institute of Digital Service Innovation of the Information Council to use "46-inch dual-purpose mirror sports mirror" and "face recognition temperature sensor" to launch a new service during the epidemic Sports technology products Yongpeng Technology stated that the "Dual-purpose mirror motion mirror AIO" uses a high-brightness screen and mirror glass The base and machine appearance are white painted to show a sense of brightness The right side of the machine can also be set in response to customer needs By disassembling the camera, users can simultaneously complete various intensity training according to the exercise instructions of the fitness instructor on the screen The main purpose is to use image action recognition and supervision technology, combined with the mirror display and action images, to create an exclusive smart fitness trainer "MOVE Smart Fitness Mirror" assists athletes in motion control The "Face Recognition Temperature Sensing Machine" is a body temperature detection host that combines face recognition and infrared thermal imaging body temperature detection calculations It is equipped with an infrared binocular lens to scan the face It can complete the facial recognition at the same time without taking off the mask Functions such as identifying, measuring and recording body temperature to achieve effective control During the epidemic prevention period, it indeed played a considerable role The face recognition access control temperature sensor developed by Yongpeng Technology has a 11 comparison recognition rate of more than 997, a one-to-many comparison recognition rate of more than 967, and the average face detection accuracy is about It is 983 It plays the role of a good helper in epidemic prevention for those who need "zero contact" epidemic prevention during the level three alert period Empirical field MOVE smart fitness mirror quenching technology of Institute of Information and Technology Development In 2020, the team of the Institute of Information and Technology developed the "MOVE Smart Fitness Mirror" Based on user needs such as not changing usage habits, not wearing wearable devices, and intuitive operation, it uses a large mirror screen, RGB camera and AIoT A real-time lightweight human posture recognition system composed of embedded systems, combined with professional recorded images and professional training knowledge, is used to assist users in controlling their movements This hardware device is the main product of Yongpeng Technology The team of the Institute of Science and Technology integrates software and hardware services from industry, academia, and research across domains, and combines AI motion recognition, virtual coaching technology, and health data backend to develop "MOVE Senior Health Promotion Full-Terminal Service" to provide the public with valuable insights Smart elderly sarcopenia assessment and prescription fitness class services promote the elderly health promotion ecosystem, promote cross-border cooperation between industry, government, academia and research, and jointly create new business opportunities for elderly services In response to the rapid aging of Taiwan's population, the incidence and mortality of various diseases can be reduced through exercise For community healthy, sub-healthy or frail elderly people, exercises that combine muscle strength, muscle endurance, flexibility, balance and cardiopulmonary function In addition to improving mobility, intervention also helps improve their cognitive function, quality of life, emotions and social participation Yongpeng Technology stated that in the future, it will use the advantages of display technology to continue to strengthen the energy combined with 5G, AIoT and other technologies, and promote the use of displays to other fields besides retail and sports

【2021 Solutions】 Super Genius AITek uses AI algorithms to Seize Business Opportunities the Smart Healthcare Market

#Cross-Domain Application

#AI Algorithms

#Facial Recognition Technology

The epidemic has attracted the attention of all sectors to medical care, and smart medical care is considered a key market for future competition Super Genius AITek SG AITek focuses on computer vision and face detection physiological data, and has entered the health management market, providing an important AI assistant for preventive medicine SG AITek, founded in 2015, has accumulated many years of practical experience in AI algorithms Since 2019, it has won major awards among demonstration projects of major companies in the AI New Talent Selection of the AI Program of the Industrial Development Bureau, Ministry of Economic Affairs for three consecutive years, providing AI solutions to major domestic electronic hardware manufacturers, including Acer, Asus, and Egis Technology SG AITek is a frequent winner in the AI New Talent Selection of the Industrial Development Bureau, Ministry of Economic Affairs SG AITek engaged in the development of AI algorithms early on and focuses on AI computer vision Steven Su, founder and CEO of SG AITek, has been involved in the field of AI algorithms since 2002 and has accumulated considerable experience The "dynamic face detection and calculation of real-time heartbeat technology" he developed can be used by simply installing the APP on your mobile phone or built into the camera When the user looks into the camera, the proprietary image analysis and processing technology developed by SG AITek can be used to measure the heartbeat and respiratory rate through the person's facial skin Its accuracy has an average error of less than 3 per minute This technology is uses non-contact measurement to solves the problem of elderly people resisting wearable devices It can also track the subjects' physiological data over a long period of time, which greatly benefits early detection and warning of diseases In addition, this AI algorithm is also applicable to smart transportation and smart retail At present, the application of traffic enforcement cameras are becoming more and more widespread in smart transportation, but the cost of storing and processing massive amounts of traffic data is very high SG AITek's technology uses edge computing to detect and immediately report road traffic using a low-cost method with low processing volume, while providing the strongest support for traffic enforcement cameras In terms of smart retail, even if consumers do not use the Internet, SG AITek can help retailers understand consumer behavior in real time through AI facial detection technology, and perform consumer-centered data analysis to help brands better understand customers, so as to achieve precision marketing Steven Su further explained that by integrating SG AITek's AI face detection technology into hardware products, it can identify consumers' gender, age, clothing, and accessories when placed in shopping malls, and can accurately determine consumers' purchasing power and preferences This will allow services that better meet consumers' needs to be provided and effectively improve customers' experience SG AITek is a pure software company that provides solutions for connecting AI algorithms to hardware devices through APIs Steven Su said that the company's greatest value is that it can adjust and optimize for different hardware platforms The development of AI technology needs to take into account the execution environment, hardware computing power, and the amount of data that must be obtained for the AI algorithm model In particular, high-spec hardware devices require a huge amount of data, and the cost of obtaining such large amounts of data is relatively high SG AITek provides an optimized solution using edge computing to effectively reduce costs, which is the key factor for adoption by major hardware manufacturers Applicable domains Healthcare, transportation and retail technologies have reached maturity Steven Su further stated that SG AITek independently developed AI algorithms for physiological parameters, which can be applied in healthcare, transportation, and retail industries It is a mature technology that has been introduced into the market Physiological parameters can be applied to both medical devices and non-medical devices Medical devices are subject to regulatory restrictions and must obtain certification before they can be used by medical institutions Non-medical devices can be used in the health management and sports and fitness markets The company will cooperate with professional fitness hardware equipment integration companies in developing sports equipment that can detect physiological data Following rapid technological advancements, Steven Su pointed out that 5G and AIoT technologies were not yet fully developed in the past, but with the arrival of the 5GAIoT era, software and hardware solutions for 5G, AI and the IoT are needed SG AITek provides AI algorithm solutions to cloud service providers and hardware manufacturers, including system integrators, to assist them with product development in their respective fields In other words, hardware integrators can use SG AITek's API to integrate software and hardware products and release them into the market Steven Su said that AIoT products require fast transmission, and the overall environment is more mature than before, 5G, AI, and IoT technologies have become more mature, and there is greater demand for their applications In the past, the focus was on new experience services, now applications are blooming everywhere Sufficient support from software and hardware equipment will also assist the development of AI algorithms "Although the market is expanding, there number of competitors has also increased" How to speed up research and development and expand customers has become Steven Su's top priority Steven Su, Founder and CEO of SG AITek nbsp

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

Lian Wei-Cheng, the founder and CEO of Hyson Technology, was once an IC design engineer in the semiconductor industry, working in front of a computer all day long in Hsinchu Science Park Although he was busy, he still had a sense of uncertainty and felt anxious about his life goals He couldnrsquot help but think about whether the technological capabilities he learned can directly connect with people and the land, solve various social issues, improve human life, and further change the world He took the plunge and left the semiconductor industry, a job that everyone envied, and founded Hyson Technology He stayed at the fish farms in Qigu, Tainan, his hometown for a long time, and built relationships with the fishermen He was eventually able to talk about "fishing knowledge" and gained the trust of the fishermen The "Aquaculture Monitoring and Rearing System" was developed by Hyson Technology by combining artificial intelligence AI, Internet of Things IoT, and mechanism design The system uses a method friendly to fish, shrimp, and the environment to reduce risk and increase yield, achieving sustainable farming production nbspSchematic diagram of the AIoT aquaculture rearing management system of Hyson Technology Lian Wei-Cheng, who was wearing a sun hat and walking among the fish ponds under the scorching sun, was asked Why did you make the change from the tech worker to an entrepreneur who helps fishermen farm fish He answered shyly with a smile The chairman of a certain semiconductor company also asked him the same question "I want to have more contact with people, directly understand people's needs, and find places where technology is needed to improve people's lives," he said, so he resolutely left his envied job in the semiconductor industry and became "half tech worker, half fisherman" The annual output value of Taiwanese fishermen is relatively low, but there is great potential to increase output value through technology Why did you choose aquaculture for entrepreneurship Citing a report in "CommonWealth Magazine", he pointed out that to show the value of an industry, we can observe whether the industry has prospects based on the per capita annual output value of employees For example, Qualcomm has a per capita annual output value of NT23 million, and Microsoft is NT23 million The per capita annual output value of Norwegian fishermen reaches approximately NT24 million, which is three times the per capital annual output value of Taiwan's electronics industry NT8 million The current average of Taiwan's aquaculture industry is only about NT400,000 There is considerable room for growth from NT400,000 to NT24 million Thinking about it from another perspective, Taiwanrsquos electronic hardware and IoT equipment technology lead the world If these technologies can be combined to give smart aquaculture full play, the average annual output value of fishermen is expected to increase significantly The expertise of Hyson Technologyrsquos team is AI image processing technology and data analysis technology They use these technologies to solve the risks and labor problems caused by not being able to see fish and shrimp underwater The team sets out from being able to see, to measure, and to control, and allows fishermen to quickly monitor the growth status of fish and shrimp using their mobile phones It can also be combined with automated equipment to reduce labor and risks When Lian Wei-Cheng was a student in the Department of Electrical Engineering, National Cheng Kung University, he loved raising ornamental fish and watching birds, often going to Qigu to watch birds He observed the environment and found that more and more fish farms in Qigu were being abandoned This was mainly due to two major factors, one is that it is difficult for young people to enter the industry without experience The other is that the older generation did not keep records and it is difficult to pass on experience This has resulted in an aging population in Taiwanrsquos fishing villages and prevented an increase in output volume The most effective way to solve the problems above is to introduce an automated system to assist with fish farming Hyson Technology's fish farming system uses self-designed IoT underwater cameras to monitor fish in the farms It also uses Edge-AI image defogging technology to make the images of fish in ponds clearer, allowing fishermen to use their mobile phones to see fish activities and feeding, and determine if the fish are sick The images are synchronized to the cloud, and Cloud-AI automatically identifies, samples, and measures biological information, such as the length and weight of each fish, automatically recording and compiling statistics of the growth status of the fish The information is visualized in reports and images It can also analyze the feed conversion ratio in different farming stages The AI expert system can also predict harvest dates based on growth data, control sales and shipment schedules, and ensure stable and sufficient supply The fish farming system is like a ruler, taking into account every detail of fish farming The fish farming system creates an objective ruler for the fish farming industry Using this ruler, fishermen can measure and compare the effects of different farming methods, see parts that they have not paid attention to before, and create more usages and value In the past, the traditional approach of manually catching fish samples was labor-intensive and time-consuming It usually took two people an hour to sample only 30-40 fish, and often caused accidental fish casualties Field verification results show that Hyson Technologyrsquos fish farming system can automatically sample and measure the biological information of 300 fish in 5 minutes without disturbing the activities of the fish It is extremely efficient and can ensure zero damage to the fish Fish farmers use the systemrsquos AI growth statistics as the basis for decision-making in determining the size of fish entering the pond and shipping It replaces the original traditional method of manually catching and measuring 30 fish, which can save about 75 of manual work time In the fish farming industry with extremely scarce manpower, the benefits of saving manpower are very significant Hyson Technology is gradually expanding the AI technology it developed to other fields For example, Hyson Technology participated in the AI New Talent Selection of the Ministry of Economic Affairs Industrial Development Bureaursquos AI Program, in which ldquomajor companies provide problems and startups provide solutionsrdquo The company combined its proprietary fully automatic AI underwater image defogging algorithm with an AI model, and applied it to the solution of an optoelectronics company for removing rainbow film from LED panels The company thus won the biggest award for meeting all technical thresholds Lian Wei-Cheng pointed out that the defogging technology can automatically estimate the degree of color distortion in water and automatically adjust the contrast of each area to improve image quality Compared with AI models that consider underwater physics and methods based on adversarial network model, the method proposed by Hyson Technology provides clearer image details, and also received better scores in multiple objective image quality evaluation standards, such as NIQE and PSNR Underwater image defogging algorithm favored by major companies due to its superiority This defogging technology combined with AI technology can effectively improve the accuracy of fish recognition For groupers with colors similar to the background and difficult to distinguish, the accuracy can be significantly increased by more than 3 For batfish with clear features and high recognition accuracy already reaching 98 and above, the accuracy can be further increased by nearly 1 Using this technology to make the images of farmed fish clearer, it can be used as the basis for determining fish diseases If the technology for underwater defogging is built into the AI model recognition layer, it can also be used to solve the problem of rainbow patterns appearing when taking photos of screens, which prevents panel defects from being detected This will effectively solve the problem of AUO with rainbow pattern interference during panel inspection What are the challenges of Hyson Technology in business promotion Lian Wei-Cheng believes that the biggest difficulty is how to expand into a new industry Hyson Technology often faces customers from traditional industries When recommending or cooperating with traditional industry customers on a new technology product, the key is gaining the trust of customers and achieving the goal of customers are partners Frequent visits are needed to gradually build trust and understand customer needs Only then will the company have the opportunity to further assist customers in solving their pain points Hyson Technology's excellent image recognition and AI technologies have gradually gained recognition from customers It has built relationships with major companies in verification, and it will continue to gain a foothold in the market in the short term with its own image processing products, such as the fish farming system In the medium term, it hopes to expand the scope of products and business services, and provide one-stop production and marketing services from underwater to on land, and from the production end to the consumer end In the long term, Hyson Technology will duplicate its successful experiences in Taiwan and integrate resources of partners to expand into the international market Lian Wei-Cheng, founder and CEO of Hyson Technology, working in a fish farm Lian Wei-Cheng and Chiu Yu-Shao join the ranks of smart aquaculture with their technological expertise

【2021 Solutions】 Targeting Metaverse Business Opportunities, Huijia Health Develops Smart Fiber Optic Pad with Great Application Potential

Can you imagine A premature baby weighing only 680 grams is fighting for her life The baby is fast asleep in the incubator connected to all kinds of tubes because she is less than a month old What an unbearable sight It pained Shu-Chen Yang, chairman of Huijia Health Life Technology, to see this scene, and it inspired her to develop a smart fiber optic pad for cribs, which can monitor physiological data around the clock The little baby successfully survived and assisted in tests as she grew up, making the dream come true Now she has grown into a little girl in the fifth grade of an elementary school After 10 years, this technology has advanced to 2mm thin pads, and has been applied to elderly care, COVID-19 technology-based epidemic prevention, and innovative high-end medical devices The goal is to promote this new innovative technology to help more people who need it This is the touching story of why Shu-Chen Yang started the company This magical pad is the nFOPTregnon-invasive fiber optic physiological monitoring pad developed by Huijia Health If is combined nbspwith a smart care system, it can continuously track potential changes in the patient, such as respiration, heart rate, blood pressure, sleep analysis, and activity The sensor pad can be placed under the pillow or bed sheets If the patient has any abnormal conditions, a warning will be automatically issued within 30 seconds Huijia Health develops a non-invasive physiological monitoring system with love as its starting point This product has also become the pride of Taiwan Shu-Chen Yang was invited to serve as Taiwan's representative to participate in the 2021 APEC BEST Award and won the "Fourth Industrial Revolution" award "Huijia Health's products are listed among major innovations in the 2021 Global COVID-19 Innovation Survey report, along with Moderna, Johnson amp Johnson in the United States, and AZ in the United Kingdom, gaining global recognition for innovation in epidemic prevention" said Shu-Chen Yang with her joy visible on her face The innovative solution nFOPTreg was also included in the United Nations-related Global COVID-19 Innovation Survey Report, and was listed as one of the 120 major innovations among over 1,300 items, showing that nFOPTreg is highly recognized as a solution that has the opportunity to be quickly provided for the world to jointly combat COVID-19 In fact, Huijia Health has long been a winner of international awards The smart care pad has won the RampD 100 Awards, APICTA Awards, ECI Grand Awards, National Innovation Award, National Healthcare Quality Award, and Excellent Epidemic Prevention Institution Over the past decade, more than 300 obstetrics and gynecology clinics, postnatal care center, infant care centers, nursing homes, dementia homes, centers for intellectual disability, and hospitals have adopted nFOPTreg smart care pads and system to assist with care The non-invasive fiber optic physiological monitoring pad, coupled with a smart care system, can easily achieve long-term and continuous physiological monitoring "Safety and no need to wear devices are my principles for developing health monitoring products" Shu-Chen Yang's original intention was to solve two pain points in baby care One is that no device can be worn, and the other is that there cannot be any electromagnetic waves Due to its high acceptance in the infant and toddler market, it has gradually expanded to areas where it can be used by the elderly, such as long-term care centers and nursing institutions Shu-Chen Yang further explained that babies and the elderly are fragile individuals, and safety from electromagnetic waves is the top priority The elderly are very resistant to any wearable devices The smart care pad does not need to be worn and is placed on the pillow or under the sheets to easily achieve long-term, continuous physiological monitoring The smart fiber optic pad is developed using the principle of total reflection of optical fiber The pad captures the changes in and out of the optical fiber and distinguishes environmental values and non-environmental values Therefore, it has low noise and the data obtained is simple and clean By introducing AI tools such as machine learning and big data analysis to analyze and determine parameters connected to the body, it is expected to provide positive care benefits, including early warning of heart disease and patient care after recovering from COVID-19 Non-invasive fiber optic physiological monitoring pad can monitor sleep Demand for epidemic prevention technology products increases as smart fiber optic pads play its role Shu-Chen Yang said that the smart fiber optic pad AI smart care system reduced the probability of contact between front-line health workers and at-risk patients during the COVID-19 pandemic It not only saves medical resources, but also greatly reduces the pressure of care on caregivers Shu-Chen Yang said that the company is still targeting the two major home care markets, including infant care and long-term care, in the current stage At this stage, smart fiber optic pads are still sold as general consumer electronics products and are classified as auxiliary care products However, in order to benefit more patients, Shu-Chen Yang pointed out that they have applied for medical device certification for the product, and expect to obtain the certificate as soon as next year, at which time it will have even greater potential for development Huijia Health has changed the traditional care service process and monitors physiological data in a contactless way Although it started early, it does not mean that there are no competitors trying to catch up However, Shu-Chen Yang confidently pointed out, "Prototypes and samples will take two years, and it will take another five years for product stability to reach a certain level Only after the product is stable can it be used for higher-end applications" In addition, data collection is not easy AI applications will generate greater value after accumulating data, making it difficult for latecomers to catch up Therefore, the technical threshold established by Huijia Health is not low, but she opened its doors and adopted an open attitude, welcoming businesses from all fields to work together and create a win-win situation At this stage, the company has entered the car driving behavior monitoring market, which can detect the driver's physical, mental and fatigue status It only takes three months to produce samples by cooperating with Huijia Health, and will allow quick commercialization In the future, the electric vehicle market can also introduce sensors to achieve safety and accuracynbsp Smart fiber optic pads can also enter the automotive market to monitor the physical, mental and fatigue status of drivers Recently, the metaverse has gained momentum, and Shu-Chen Yang believes it is a big business opportunity She said that the metaverse requires a large number of sensors for long-distance and short-distance interactions As long as the application scenarios are outlined, the applications of smart fiber pads will be unlimited For example, patients walking in the hospital using railings for support has not had good rehab effects On the one hand, it is impossible to know whether they have improved On the other hand, the rehab effects will be poor if there is no one to accompany and encourage them With the use of sensors, patients will be able to record their rehab situation at any time, and also virtually interact with family far away, as if family members were accompanying them during rehab, doubling the effect Looking towards the future, Huijia Health will extend its application to more fields, and will adopt a licensing approach to assist strategic partners in completing commercialization In the current stage, the products have been promoted to overseas markets such as Japan, South Korea, Malaysia, Vietnam, Philippines, and Spain

【2021 Solutions】 People-oriented Ruiyang Information develops the iota C.ai dialogue service platform to solve system integration problems

Ruiyang Information, which has been established for 34 years, has occupied an important position in the fields of official document systems, knowledge management systems, and enterprise e-ization Facing the advent of the era of AI and mobility, Ruiyang Information boldly embraces AI and " "People-oriented", we will equip existing services with the wings of AI, develop interactive dialogue service platform iota Cai and enterprise instant messaging iota IM, help integrate various internal systems of the enterprise, including official documents, procurement, customer service, etc, and greatly improve the efficiency of internal employees of the enterprise Work efficiency Ruiyang Information has accelerated its investment in the field of artificial intelligence since 2013, and has demonstrated its RD technology capabilities in various fields such as natural language processing, machine learning, deep learning, and natural language understanding At this stage, achievements such as technical word extraction, automatic classification, recommendation systems, topic clustering, technical document transposition, text-based text search, picture-based picture search, and intelligent robots Chatbot have been developed Ruiyang Information deeply cultivates AI technology and automatically breaks down official documents with an accuracy of more than 90 "AI is mainly used in text and images" Wu Zhenming, deputy general manager of Ruiyang Information, further explained that the official document system and knowledge management system that Ruiyang Information is good at are prioritized for introduction and optimization Among them, the Taipei City Government complained in 1999 The number of cases to be handled every day is very large The process must be recorded, automatically divided into documents, and assigned to relevant processing units Through machine learning, the accuracy rate of automatic document classification has reached more than 90 Taipei City The automatic classification of government cases in 1999 can also achieve an accuracy of more than 85 He emphasized that Ruiyang Information will hone its AI technical capabilities from the beginning of the project so that it can add value to existing services In addition, the image part, such as trademarks, financial reports, orders, faxed forms, etc, are originally paper files If you have to convert each key into a text file, it will be time-consuming and time-consuming This is also a pain point in the financial industry, small and medium-sized enterprises and other industries Rui Through OCR text recognition processing and combined with RPA robotic process automation for image recognition, Yang Information can directly convert images into text and automatically store them into electronic files, which can speed up the processing speed of enterprises and help achieve Digitalization before transformation Ruiyang Information continues to deepen the use of AI technology to launch new automated and mobile services, such as launching the conversation service platform iota Cai and enterprise instant messaging iota IM, and entering the chat robot and enterprise IM instant messaging market iota Cai dialogue service platform provides more efficient IT services than mobile services Wu Zhenming said that iota Cai is a truly "enterprise-level" conversational service management platform that can quickly lead enterprises into the new technology application field of "conversational" services He explained that iota is a robot generator To conduct intelligent interactive QA, you need to design a dialogue script The robot designed with iota's assistance can be published to instant messaging software such as Line and Teams There are two types of users who use the conversation robot platform, one is for internal use of the enterprise the other is for external use of the enterprise Integrate independent systems within the enterprise to establish a people-oriented and friendly working environment Among them, for internal use within the enterprise, such as manufacturing internal systems can be integrated with ERP and MES systems through the iota platform For example, the internal business of the enterprise can simultaneously query ERP orders and MES product production status through a single interface Customer contact information on the CRM system only needs to be issued through the iota robot In addition, the company has internal systems such as official documents, procurement, leave, etc, all of which are independent, causing inconvenience to users Through the design of a conversational robot service platform, different system backends can be integrated at the same time to provide a "people-oriented" friendly working environment External use is intelligent customer service, including the financial industry, public sector, etc, which require a lot of customer service In the past, they used phone calls or emails Now, intelligent customer service robots can be used to directly reply or solve customer questions, greatly simplifying customer service manpower, and improve customer satisfaction The dialogue service platform iota Cai allows users to design dialogue interactive scripts, QA QA and natural language intent training through the GUI interface without writing programs IT staff can quickly integrate enterprise back-end systems Interface with robots to create diversified interactive promotions users can access various corporate information through a single human-machine interface in the "chat room" through conversations or clicks, and experience efficient IT operations The robot built through iota Cai uses natural language processing technology of intent analysis and intelligent question and answer to present the richest dialogue cards in the industry It has the most flexible process design and mock testing functions, and supports multi-department division of labor Cooperate to complete Chatbot services in various fieldsfunctions RD funds account for 13, and investment in AI technology research and development accounts for about 40 Ruiyang Information’s annual RD expenditure accounts for 13 of its revenue, of which 30-40 is invested in the research and development of AI-related technologies After the epidemic, considering the increasing demand for WFH Work from home, it will continue to move towards Chatbot, mobile and cloud-based development, such as instant messaging, platform and video conferencing integration value-added, video conference text narration processing and archiving and other smart assistant functions, can provide related services from chatting, discussion, meeting, etc In the process of developing AI technology and services, Wu Zhenming pointed out that due to the varying degrees of digitalization of Taiwanese enterprises, it is difficult to collect data, and in an environment where the establishment of information systems is not mature enough, there are certain obstacles to introducing AI Ruiyang Information We will continue to deepen natural language processing technology and strive to provide a simple and easy-to-use dialogue platform to assist the smooth transformation of the industry As for the overview of Ruiyang Information’s overseas layout, Ruiyang Information stated that the products and services deployed in overseas markets include cloud and enterprise e-ization Among them, knowledge management KM, which has the largest market share, has expanded to mainland China There are 20-30 top tertiary hospitals, and cloud services are also widely distributed to Asian countries such as mainland China, Hong Kong, Japan, Thailand, Malaysia, Vietnam, and Mexico, South Africa and other places Product design tends to be modular, API and multi-lingual In the future, it will Continue to improve and optimize natural language processing technology, integrate it into other corporate backend systems, provide integrated one-stop text services, and expand the territory of overseas markets iota_Cai dialogue service platform can integrate various information systems and machines to improve business operation efficiency「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

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

#Smart Manufacturing

#SME Digital Transformation

#Cloud Solutions

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 RampD 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 40 He found that companies implementing Industry 40 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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