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【2020 Solutions】 Hangte Electronics AI Innovation Applications, Comprehensive Upgrade of Monitoring Technology

Hangte developed AI Cam, offering smart innovative services

The development of monitoring products has undergone breakthrough development due to the advent of artificial intelligence technology; traditional network cameras (IP Cam) have been upgraded to AI network cameras with smart image automatic analysis and response capabilities.

AI Cam not only meets the high-resolution demands of various platforms with image quality but also continuously expands its capabilities based on its smart application properties, thereby creating innovative services in smart imaging applications that keep evolving and being suitably applied in various environments and scenarios.

For example, in the use of human detection applications, this smart monitoring feature can separately identify each person in the surveillance video and delineate a specific range as a basis for monitoring decisions, conducting systematic analysis and management; users can calculate the dwell time, count people traffic, and also issue immediate alerts when a designated person enters the monitored range (as shown in the diagram below).

Smart monitoring features can individually categorize each person in the surveillance video.
▲ Smart monitoring features can individually categorize each person in the surveillance video.

In the aging society with a shortage of manpower, smart long-term care efficiently enhances care quality

According to statistics from the Ministry of Interior, Taiwan has entered the 'aging society' structure. Since 1993, the population of elderly people aged 65 and above has steadily increased from 1,491,000 to 3,312,000 by the end of March 2018; according to estimates by the National Development Council, the elderly population is expected to exceed 20% by 2026, making Taiwan parallel with Japan, South Korea, Singapore, and some European countries as a 'super-aged society'.

In other words, in the future, Taiwan's society may become a structure where one in every five people is elderly, significantly increasing the need for long-term care facilities and retirement centers. Given the trend toward an aging population, the manpower resources for caring for the elderly will inevitably diminish over time.

The solution to the aforementioned shortage of manpower for long-term care needs is to optimize the operation of long-term care institutions using artificial intelligence technology, particularly by utilizing AI network cameras with smart image auto-analysis and instant response capabilities, combined with the Internet of Things (IoT) automatic connection features to promptly identify problems and handle them effectively, embodying a high-efficiency smart service application.

In the smart operation system of long-term care institutions, we can set up a people counting function to calculate the daily traffic, using this data as a reference for observing the dynamics of personnel entering and exiting a designated detection area, useful for calculating attendance or foreign visitor flow, and adjusting door threshold times or work schedules accordingly; additionally, the electronic fence feature can define and secure specific areas, immediately alerting the management if an unauthorized visitor breaches the area, coupled with fall detection to set up designated areas for the care recipients prone to falls, immediately notifying the caregiver if an incident occurs within the detection range (as shown in the diagram below).

Using AI surveillance cameras in long-term care facilities reduces the workload and enhances care quality
▲ Using AI surveillance cameras in long-term care facilities reduces the workload and enhances care quality

Edge computing smart imaging, cloud IoT innovative services

The application of artificial intelligence combined with the Internet of Things in monitoring scenarios is not limited to potential suspects or dangerous individuals; in retirement and long-term care environments, AI surveillance can also enhance monitoring and integrated management of resources.

Hangte Electronics, leveraging over thirty years of industry experience and R&D capability in monitoring imaging technology, successfully combines Internet of Things technology (IoT) and Artificial Intelligence (AI), not only making good use of cloud computing to reduce installation and management costs of surveillance environments but also greatly enhancing the overall monitoring effectiveness of security systems; by utilizing edge computing to provide image preprocessing capabilities and coupling it with AI smart image analysis technology for various image recognition and instant analysis of monitored subjects' behavior, automatically linking response mechanisms to correspond to triggering events, fully dedicated to crafting innovative service solutions for smart surveillance 2.0 for clients.

Fully dedicated to crafting innovative service solutions for smart surveillance 2.0 for clients
Fully dedicated to crafting innovative service solutions for smart surveillance 2.0 for clients

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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

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

【解決方案】光禾感知科技智慧球場體驗 AR互動讓看球變得更加有趣
OSENSE Technology Qubby AI customer service helps enterprises comprehensively upgrade from customer service to knowledge management

"What are your business hours" "What are the functions and features of the product" "What discounts are available now" "Does the product have a warranty" "Does the manufacturer cooperate with the product for repair" From the perspective of consumers, every inquiry is a unique customer experience, but from the perspective of companies, 90 or more of these questions are repeatedly asked every day OSENSE Technology's Qubby AI customer service can help companies seize the opportunity to continue to provide high-quality customer services every time they come in contact with customers, and optimize service processes through AI to create an efficient service team Taiwanrsquos first IMSNS virtual human real-time interactive voice AI customer service Qubby AI The information age has caused changes in consumer behavior Companies have deployed online and offline platforms, such as official website apps for their brands, physical stores, distribution channels, and third-party e-commerce, to increase channels for contact with consumers However, this has created a greater workload for customer service personnel, who need to monitor even more channels to provide timely services OSENSE Technology's Qubby AI customer service helps enterprises integrate and manage multiple platforms, such as websites, LINE, Facebook Messenger, WhatsApp, and multimedia interactive machines, with a single account The service supports 29 languages and serves domestic and overseas customers 247, building good relationships by meeting customer needs and creating an endless stream of important and valuable customers Qubby AI customer service features Saves training time, standardized AI response, supports IMSNS, improves customer service efficiency, optimizes the service experience, and the web page is applicable everywhere Efficiently create enterprise-specific AI customer service in 3 steps, eliminating the need for design QA OSENSE Technology has condensed the establishment of Qubby AI customer service into three steps based on its years of experience with domestic and overseas projects and strong technical capabilities, so as to help enterprises build efficient teams The first step is to create an image and personify the corporate image Upload a profile photo, create a realistic or anime-style 3D virtual person, or customize a real person image, transforming the one-way corporate communication model in the past into a two-way interactive service model It not only improves brand favorability among customers, but is also an indispensable part of creating warm services The second step is to select the voice Qubby AI customer service can interact with customers through text, preset QampA, and voice For voice, users can choose the system's preset AI voice, or use AI to clone a real person's voice It supports the conversion of 29 languages, and is like customer service personnel providing services in person, increasing customersrsquo trust in the brand The third step is to establish a knowledge base An AI brain knowledge base can be created by simply uploading a PDF file For languages supported by AI translation for Chinese text, there is no need to design questions and answers one by one The AI machine trains and learns corporate and product knowledge, automatically extracts knowledge related to user questions, and integrates knowledge for responses, greatly shortening the development and training time Another feature of Qubby AI customer service is that it can incorporate "personality," such as liveliness, confidence, and gentleness, into the character, and give it "ambition" and "mission," making the customer service more flexible and closer to the corporate brand image Combined with industry Know-How, it can also become an industry-specific AI customer service application For example, Qubby AI DentalGPT, Taiwan's first AI customer service specifically developed for dentists, has been trained into an exclusive AI model and database of dental knowledge, health education information, and common issues of clinics, and was integrated into a convenient and easy-to-use package Companies only need to follow 3 steps Create an image, choose a voice, and build a knowledge base to quickly create an exclusive Qubby AI customer service Qubby AI's diverse applications help enterprises comprehensively upgrade from customer service to knowledge management Qubby AI customer service has been used a wide range of industries, such as the healthcare industry, financial industry, electronics industry, conference and exhibition industry, education industry, department store retail industry, public relations service industry, and celebrities The services range from external product sales, event promotion, and customer service to internal HR assistant, knowledge management, compliance, technical maintenance and applications It has become the most intelligent, efficient, and direct business partner for enterprises In addition to helping optimize the service process, allowing personnel to focus on solving truly difficult and valuable problems, Qubby AIrsquos back-end data records the number of times, the time, platform, device, and conversation history of customers using AI customer services, and can export the data Insights into customers can be further discovered from the conversations, and create new types of services to seize business opportunities The Qubby AI customer service back-end completely records user information and data A free 14-day trial offered to find distribution agents to jointly expand domestic and overseas markets To assist enterprises with digital transformation, OSENSE Technologyrsquos Qubby AI customer service offers a free 14-day trial, which provides AI text and expected voice customer services, AI knowledge base construction, a limit of 6,000 messages per month, and 3D virtual human default character to reduce enterprisesrsquo doubts about the AI solution Aside from its efforts to further develop Taiwanrsquos market, OSENSE Technology is actively expanding into international markets, such as the United States, Japan, and Southeast Asia In January 2024, it has signed a contract with the largest clinic management system developer in Southeast Asia to bring Qubby AI customer service southward, hoping to provide comprehensive AI digital services and solutions to medical institutions and people ofnbsp Southeast Asia, creating better healthcare experiences and expanding the smart healthcare ecosystem AI is ushering in a new industrial revolution According to Gartnerrsquos estimates, there are approximately 17 million customer service personnel working in customer service centers around the world 95 of the cost of a customer service center is from personnel Even if 10 of the service volume is automated, tens of billions of US dollars can be saved every year Based on the 2023 Taiwan Industrial AI Survey released by the Artificial Intelligence Foundation, nearly half of Taiwanrsquos companies still have not used AI services This shows the huge AI business opportunities OSENSE Technology is thus actively seeking distributors and agents to jointly expand domestic and overseas markets

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

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