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Special Cases

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2022.4
【2022 Solutions】 Complete checkout in 1 second, Viscovery AI image recognition assists smart retail

Artificial intelligence AI has gradually changed the way various industries operate in recent years However, most of the work is still done by humans, with AI playing a supporting role This has led to emergence of the term "AI Copilot," which stands for "AI-driven tools or assistants" that aim to assist users in completing various tasks and improve productivity and efficiency The concept of AI Copilot comes from the role of "co-pilot" During flight, the co-pilot assists the main pilot in completing various tasks to ensure flight safety and efficiency In fact, there have been signs of various "machines" beginning to play the role of "copilot" in different fields since the Industrial Revolution, assisting humans in completing heavy physical and repetitive tasks, greatly improving factory production efficiency, and driving rapid economic development Following the advancement of computing equipment and breakthroughs in machine learning, deep learning, and image recognition technologies, the concept of AI Copilot has gradually taken shape The development of AI Copilot marks the transition from "machine-assisted to AI-assisted" Early robots could only complete preset repetitive tasks, but today's AI copilot can learn and adapt to new environments and tasks, and continuously optimize its performance in practical applications This transformation not only changes human-machine interactions, but also has a profound impact on various industries The application scope of AI copilot covers various industries, including finance, healthcare, manufacturing, education, retail, etc, and are everywhere to be seen Application of AI copilot in the retail industry AI image recognition checkout In the retail industry, the application of AI copilot has begun to show concrete results Take Viscovery's AI image recognition checkout system as an example This system is a type of AI copilot model that helps store clerks speed up checkout or assists consumers in simplifying the self-service checkout process The store clerk needs to scan the product barcodes one by one in the regular checkout method If a product does not have a barcode, such as bread and meals, the clerk needs to first visually confirm the items, and then input them into the POS checkout system one by one Based on actual measurements at a chain bakery, it takes 22 seconds for an experienced clerk from "visual recognition" to "entering product information of a plate of 6 items into the checkout system" New clerks may need even more time In addition, according to a Japanese bakery operator, it takes 1 to 2 months to train employees to become familiar with products Now with AI image recognition technology, store clerks let AI handle the "product recognition" step, and AI will play the role of copilot, quickly identifying items within 1 second, speeding up checkout to save 50 of checkout time, and optimizing customers'shopping experience The time cost of training employees to identify bread can also be effectively shortened Even for products with barcodes, AI can quickly identify multiple items in one second, which is more efficient than scanning barcodes one by one The self-checkout system "assisted" by AI image recognition allows consumers to successfully complete shopping without the help of store clerks, eliminating the trouble of swiping barcodes or searching for items on the screen, which improves the shopping experience In a time when store clerks are hard to hire due to labor shortage, this also helps stores reduce operating costs AI quickly identifies multiple checkout items in just one second Source of image Viscovery Recently, startups dedicated to developing AI image recognition checkout solutions have emerged in various countries The most lightweight solution currently known is in Taiwan It can be immediately used by installing a Viscovery lens and a tablet installed with Viscovery AI image recognition software at the checkout counter to connect to the store's existing POS checkout system There are various integration methods, including plug-and-play and API solutions integrated with the store's POS system Viscovery AI image recognition system can be painlessly integrated with the store's existing POS system Source of image Viscovery Example of AI image recognition checkout Currently, the Viscovery AI image recognition system is being used in bakery chains in Taiwan, Chinese noodle shops in Singapore, micromarkets in department stores in Sendai, Japan, and Japanese bakeries and cake shops Over 7 million transactions were completed through this AI system, which identified more than 40 million items These use cases demonstrate the extensive application of the Viscovery AI image recognition system in the retail industry In the future, the company will continue to explore the various possibilities of using Vision AI in retail and catering nbsp The Viscovery AI image recognition system is already being used in bakeries, cake shops, restaurants, and convenience stores in Japan, Singapore, and Taiwan Source of image Viscovery

2022-04-27
【2022 Solutions】 Xiaoshi Intelligent Inspection uses the two swords of "AOI + AI" to combine software and hardware to open up the two channels of appearance defect detection and supervision.

Quality inspection, like a double-edged sword, has always been a favorite and painful subject for Taiwanese manufacturers When AI deep learning enters the industrial visual inspection of traditional manufacturing industries, it can not only save inspection manpower investment, solve the problem of inconsistent manual visual standards, overcome the limited visual recognition and defect detection blind spots of traditional automatic optical inspection AOI, and also enable real-time traceability Causes of quality problems The overall AIAOI visual inspection solution developed by Xiaoshi Intelligent Inspection integrates software and hardware to create efficient appearance defect detection capabilities, helping electronics OEM customers create high-efficiency products with a miss detection rate of less than 1 and an overkill rate of less than 3 Check the level Xiaoshi Intelligent Inspection was established in 2020 Although it is a new venture two years ago, it did not start from scratch Founder and CEO Hong Peijun and the core team have been deeply involved in Foxconn factories for many years and participated in countless smart factory-related solutions and process improvements , has profound AI deep learning development capabilities, and accumulated rich experience in world-class AI application implementation Seeing that AI industrial inspection must be the last mile for the manufacturing industry to move towards Industry 40, Hong Peijun resolutely decided to implement AI deep learning technology in the field of smart manufacturing with high output value, and specialized in the development of AI industrial visual inspection For the manufacturing industry, product inspection is the most important part of all quality control, but traditional industrial inspection faces two major pain points 1 Manual visual inspection Today, more than 95 of the entire manufacturing industry still relies on manual visual inspection Inspection makes it difficult for manual visual quality inspection standards to be consistent, and visual inspection of fine objects, such as passive components or highly reflective components, will cause long-term vision damage 2 Traditional AOI automatic optical inspection The product has limited visual recognition capabilities and blind spots in defect detection Among them, the detection of appearance defects such as scratches, oil stains, dirt or hair and other unexpected subtle defects has always been a problem in AOI applications Insurmountable difficulties AIAOI visual inspection overall solution is a great boon for appearance defect detection When designing the product roadmap of Xiaoshi Zhikan, customer group positioning and strengthening customer product services and value were important indicators Moreover, appearance defect detection has always been an unresolved pain in the manufacturing industry, Hong Peijun said With industrial quality inspection AI software as the core, Xiaoshi Intelligent Inspection provides an overall solution for AIAOI visual inspection It mainly promotes three major products, including "QVI-T AI deep learning inspection modeling platform software" and "AI six-sided defect inspection and screening machine" ” and “AI Industrial Quality Inspection Platform” The main customer groups served are semiconductor packaging and testing, EMS electronics foundry, small metal parts processing and other industries with high production capacity and high gross profit margin In response to customer needs, Xiaoshi Intelligent Inspection provides corresponding software and hardware services, combining self-developed AI deep learning software and hardware quality inspection equipment to reduce the manual visual burden on the production line and effectively improve the production quality of the factory In order to help equipment manufacturers and technical engineers with development capabilities accurately grasp product appearance defect detection, Xiaoshi Intelligent Inspection independently developed QVI-T deep learning detection software, which can provide customers with defect location, defect classification, defect segmentation, anomaly detection and text recognition Key functions such as this are different from the fixed detection methods of traditional software Algorithms can be refined based on different industrial detection methods and different APIs can be developed to connect devices with different lenses The software design of this platform is very lightweight It is a SaaS software built on public cloudprivate cloud It mainly involves simple image uploading, labeling, training modeling, and verification testing After completion, users can download models, SDKs, APIs, and reports Effectively help customers achieve AI inference functions Currently, most of the industrial inspection services on the market are traditional AOI software industrial inspection machines, which can only measure product contours such as the head and length of fasteners, etc, and cannot truly provide detection of subtle product surface defects such as screw head cracks and tooth damage There is a lack of such high-precision defect detection companies in the market, Hong Peijun observed Xiaoshi Intelligent Inspection developed and independently built the "AI six-sided defect detection and screening machine" from customized services in the past to providing standardized services for customers at the current stage It provides standardized testing services for fasteners in measurement and surface defects, as well as passive components High-speed surface defect detection of similar products This professional machine uses the AI deep learning AOI composite algorithm technology independently developed by Xiaoshi Intelligent Inspection Through parallel computing technology, it can achieve model inference up to 3 milliseconds per picture, and realize multiple complex defect detection on the electrodes and body of passive components This professional machine is mainly used for the inspection of fasteners, small metal parts and passive components In terms of competitiveness in the industry, the software hardware integration provided by the AI six-sided defect inspection and screening professional machine is an important core competitive advantage of Xiaoshi Intelligent Inspection It is not as simple as it sounds Hong Peijun said with emotion that this special machine is very important in the industrial inspection industry Commonly known as the highly integrated integration of optical mechanisms, electronic controls, software and algorithms, the process requires continuous optimization and iteration, and requires multiple client verifications and modifications After a long period of hard work, the technical threshold has also been raised The AI six-sided defect detection and screening professional machine will be the main product promotion direction of Xiaoshi Intelligent Inspection in the next 3-5 years It is believed that AI combined with measurement technology and surface defect detection will be an important source of core competitiveness of Xiaoshi Intelligent Inspection, Hong Peijun said AI six-sided defect detection and screening professional machine will be the main product promotion direction of Xiaoshi Intelligent Inspection in the next 3-5 years Faced with the booming development of Industry 40 in smart factories, customers often ask "Does quality inspection data have secondary use value" Hong Peijun said that the "AI Industrial Quality Inspection Platform" launched by Xiaoshi Intelligent Inspection has a machine learning mechanism , which can be used for secondary use of quality inspection data to provide customers with multiple functions including real-time monitoring and early warning of production quality, quality traceability analysis, quality factor assessment, process parameter prediction and recommendation Taking the successful introduction into the automotive parts factory as an example, through the prediction and recommendation of process parameters provided by the AI industrial quality inspection platform, when we know the product defects, we build a set of models based on the experience of past masters, coupled with the network connection data from the previous stage, After integration, we have process data, incoming material data, and quality inspection data We can predict whether these machine parameters have run out, and we can recommend whether the process parameters of certain sections should be adjusted up or down Through the AI industrial quality inspection platform, Xiaoshi Intelligent Inspection can help customers connect visual quality inspection results, process data and acceptance standards with the existing MES system of the customer's factory to improve production quality, improve efficiency and reduce costs In terms of business model, Xiaoshi Zhiqian also provides a software subscription system for the deep learning detection modeling platform software It provides public cloud customers with traffic subscription and charges based on the amount of image uploads, while private cloud customers adopt an annual license fee license charging mechanism In addition, the company also provides customers with a buyout charging mechanism for the overall solution equipment, and provides a one-year warranty, after which consumables and software update maintenance fees are charged annually Going in the opposite direction, using both hard and soft methods, with a missed detection rate of less than 1 and rapid modeling in 15 minutes Faced with various small-volume and multi-sample inspection needs in the manufacturing industry, general AI deep learning visual inspection usually requires customers to collect a large number of photos of defective products, which is time-consuming to label, and also causes customers to have difficulty in importing AI, and defective products cannot be collected The introduction cycle is long and implementation is full of risks If there are not enough bad samples, the model will be inaccurate Kosaki Chikan goes in the opposite direction and uses its product "AI Visual Inspection Model Development Tool" to train models through pictures of good products provided by customers It is relatively easy for AI to learn good products, no labeling is required, and the time can be quickly compressed to complete the modeling Take the implementation of IPC electronics industry - AAEON Technology as an example In order to reduce the manpower input of the quality inspection station in the PCBA production line and have standardized quality inspection, Xiaoshi Intelligent Inspection provides an overall solution for PCBA AI visual inspection software and hardware services, and conduct in-line inspection on the factory's highly automated assembly line, effectively saving inspection manpower investment, improving the standardization of quality inspection rates, and improving the problem of inconsistent standards caused by manual visual inspection Through the introduction of AI visual inspection software and hardware integrated solutions, we have effectively helped customers maintain an overkill rate of less than 3 in the past two years, and achieved high-efficiency performance with a missed detection rate of less than 1 In addition, this solution allows practitioners who do not understand AI to quickly operate modeling By installing the modeling tool on the device, when the customer has a new product number and needs to create a model, he only needs to provide 10 pictures of good products to scan under the device It only takes 15 minutes to quickly train the model In terms of product core strategic layout, compared with market competitors who rely solely on general software services to seize all manufacturing markets, it is not feasible to apply it to industrial inspection Hong Peijun has observed over the past 10 years and believes that only software hardware can With technical thresholds and focusing on one industry and field, only by adopting a standardized company's AI six-sided defect detection and screening special machine can it be replicated and scaled up, and the company can truly continue to move towards optimization and create product competitiveness, even if there are other competing products It’s not easy to compete for this pie, Hong Peijun said Xiaoshi Intelligent Inspection’s overall AIAOI visual inspection solution creates rapid modeling and excellent results for customers with a missed detection rate of less than 1 The most competitive AIAOI overall solution provider with global presence For new entrepreneurs, facing business expansion is a challenge every day Hong Peijun said that small companies are easily snatched away by large companies, company talents are poached by high salaries, lack of deep customer relationships, and the business team is not large enough, etc How to overcome this Hong Peijun believes that the key to success and competitiveness of a new start-up company is to be diligent in making up for mistakes, provide better services, provide more immediate feedback, and create more professional solutions to convince customers Since its establishment in 2020, Xiaoshi Intelligent Inspection has always gone against the grain in terms of product core strategic layout, surpassing the competitive market among its peers, and actively taking root in the overall solution of AI visual inspection software and hardware Hong Peijun hopes that Xiaoshi Intelligent Inspection will become the world's most competitive AIAOI overall solution provider for the electronics and semiconductor industries in the future, and provide the top AIAOI professional machines and equipment to the electronics and semiconductor industry customer base Hong Peijun said that the technical capabilities of the company's AI six-sided defect detection and screening professional machine have reached the top domestic level In order to speed up the research and development of professional machines to become more standardized and sell them to overseas markets, the company will conduct a fundraising plan at this stage, hoping to use legal persons such as the Capital Strategy Council to assist in more business connections and fundraising channels For the medium and long-term goals, Xiaoshi Intelligent Inspection will lay out the global market including mainland China and Southeast Asian countries At the same time, it will follow the international footsteps of major OEMs in global layout Under the target inspection project, it will continue to develop specialty products and spread towards the international field 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

2022-09-01
【2021 Solutions】 Exclusive Innovative AI Algorithm Miniaturization Patent: Mantuo Technology Assists in Bringing Large-Scale AI to the Cloud

With the Internet of Things, the demand for AI algorithms is becoming increasingly massive and complex The use of Edge AI, which can effectively reduce costs, enhance security, and improve execution efficiency, will become an inevitable trend Founded in 2018, Mantuo Technology's DeepMentor mainly provides miniaturized AI algorithm SaaS services It is a real solution provider on the market that can deploy AI algorithms running on cloud servers or GPU processors to the Edge Device level, maintaining an accuracy of over 99 while significantly reducing data movement and algorithm complexity Its exclusive and innovative Miniaturized Electronic Design Automation process MAT can shorten time, reduce costs, and still achieve an accuracy higher than 99, key for deploying cloud AI to Edge Devices Ten years of dedication, Mantuo Technology's miniaturization technology gains market attention After more than ten years of research and development in the laboratory, the founder of Mantuo Technology, Wu Xinyi, and his team's exclusive patent of the miniaturized electronic design automation process has resulted in over 20 international A-level papers and several awards including the Best Paper Award Mantuo Technology's technology has been recognized by the market, and in the past two years, it has won the 'Most Investment Worthy Award' at the 8th Yungu Cloud Leopard Incubation Demo Day and the 'Strongest System Innovation Award' with Chunghwa Telecom, as well as the '2021 G Camp International Link Award' and the 'YEZ International Accelerator Special Award' at the 5th 'International Innovation and Entrepreneurship Training Camp G Camp' organized by the Ministry of Economic Affairs in August 2021 滿拓科技獲得第八屆雲谷雲豹育成總決賽「最具投資價值獎」。圖左二為滿拓科技創辦人吳昕益。 AI algorithms are quite large mathematical models Mantuo Technology is focusing on future trends from the era of the Internet of Things IOT to the intelligent Internet of Things AIOT All kinds of terminal products will integrate AI to provide more powerful functions However, many AI algorithms are relatively complex and large, which cannot be integrated into existing terminal devices Therefore, Mantuo Technology developed an exclusive miniaturization technology MAT to optimize the algorithms, simplifying the complex algorithms so they can be incorporated into small embedded systems for easier interfacing with hardware equipment Indeed, what challenges do companies currently face when deploying Edge AI Mantuo Technology's Marketing Director, Yang Yuming, explains that in terms of hardware computation, the cost of GPUs is high, and due to power consumption and heat generation, they are not suitable for edge computing devices In terms of software, there is a lack of good solutions on the market, and most applications can only deploy lightweight simple AI models tiny AI, which are easily affected by climate or external environmental changes, significantly impacting accuracy Importantly, including major international manufacturers in their 2021 white papers, it is mentioned that accuracy can be immediately reduced by 5-15 during the compression process Mantuo Technology offers a complete Edge AI computing solution, with its exclusive and powerful miniaturization technology, which can reduce computational and data volume by 90 while keeping accuracy within 1, successfully deploying multiple complex professional million-parameter AI algorithms to edge devices Mantuo Technology's main customers target system manufacturers and software and hardware developers who want to upgrade IoT to AIoT Mantuo provides the DeepLogMarker software platform to help system vendors and developers quickly obtain miniaturized AI algorithms Through simple training and deployment, they can easily convert commercial IoT devices into AIoT products Yang Yuming stated that the company will launch the SaaS software platform service DeepLogMarker in the fourth quarter of 2021 The first phase will offer the nine most commonly used professional miniaturized AI algorithms, such as object recognition, posture detection, facial recognition, and age and gender algorithms, allowing customers to choose as needed Different AI functions can also be combined according to different usage requirements The platform adopts a subscription model, providing all AI developers, like engineers, startup teams, and device manufacturers, to download and use these algorithms SaaS platform services - simple subscription to use AI algorithms Specifically, customers only need to select the required algorithms on DeepLogMarker, and with a few steps, they can deploy the algorithms to the Edge AI hardware platform Customers do not need to spend a substantial amount of资金capital and time to build an AI environment, and even beginners in AI can directly access all kinds of AI applications needed on the DeepLogMarker platform Mantuo Technology provides professional AI models that have been miniaturized, allowing startup entrepreneurs and developers to subscribe to miniaturized AI algorithms and purchase the Edge AI box to interface with their IoT systems, thereby upgrading the IoT systems to AIoT systems Mantuo Technology is committed to becoming a SaaS software company in the Edge AI field By the end of 2021, it will provide a variety of Edge AI solutions and algorithms on the online platform, hoping to build a complete DeepLogMaker Edge AI user ecosystem Enterprises and cloud service providing platforms like Amazon AWS, Microsoft Azure, IC design companies, startups, and IoT device manufacturers can use the AI services from Mantuo Technology on the platform, to inspire various innovative applications, enhance AI value, and create business opportunities together 滿拓科技建構DeepLogMaker Edge AI使用者生態圈 At the same time, strategic partners with international SaaS operations experience are also welcome to join hands with Mantuo Technology Besides deepening the Taiwanese market, Mantuo Technology's services will also expand into East Asia and international markets such as the United States and Europe The ultimate aim is to significantly reduce the deployment cost of Edge AI, help in the widespread application of AI at a grassroots level, and broaden the applications of Edge AI in intelligent retail, smart manufacturing, smart home appliances, smart medical, and more Mantuo Technology believes that now is the best time for Taiwanese manufacturers to enter the Edge AI market Currently, major chip manufacturers such as NVIDIA, Intel, Qualcomm, NXP, and cloud leaders AWS, Google, Microsoft are all actively investing in this field If Taiwanese manufacturers want to break into the Edge AI market, considering the strengths of Taiwan's small and medium-sized enterprises, industrial manufacturing advantages, and government resources, unique value in software and hardware integration and technology is still the best leverage Finding the right entry point, Mantuo Technology hopes to become the key hub that connects international software giants' resources with Taiwan's hardware advantages Mantuo Technology's miniaturized algorithms enable Edge devices to perform more robust AI functions With the advent of the 5G era, the various AI intelligent application scenarios that everyone is looking forward to can truly materialize The current IoT products need to be fully upgraded 'Solving problems through system integration is solving problems from the root' Mantuo Technology's software and hardware integration solutions, including various AI silicon IP licensing and SaaS services, are expected to officially hit the market from the end of 2021 to early 2022, at which time the development of AI applications in Taiwan may show a different aspect Founder of Mantuo Technology, Wu Xinyi「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

2021-08-26
【2021 Solutions】 Motor Protectors: How Haobo Technology Employs AI to Understand the 'Hearts' of Machines

Motors are a critical power source for various devices in modern times, and are key components of many automated equipment, acting like the heart of machines Any malfunctions not only shorten the lifespan of the motors themselves but also affect the entire system's operation, potentially causing delays in production due to downtime Through the use of Smart Vibration Diagnostic and Monitoring Solution SVDM Solution, Haobo Technology utilizes AI to comprehend motors, becoming an indispensable tech partner in intelligent manufacturing The essential industrial motors see an almost 4 annual compound growth rate According to statistics, the market size for industrial motors was 329 billion in 2017, with an expected compound annual growth rate of 363 from 2019 to 2025 Motors have a wide variety of uses, nearly essential in all equipment operations, and represent a technology that is well-developed, with numerous suppliers and a long product lifecycle Haobo Technology, established in 2015, started by solving motor noise issues In recent years, due to the rapidly evolving AI technology, Haobo Technology has continuously innovated and researched, integrating vibration frequency with sound-based audio processing technologies and AI algorithms for noise reduction, along with their self-developed wideband low-noise vibration sensors They introduced a new generation of industry-leading 'Smart Vibration Diagnostic and Monitoring Solution' SVDM Solution, overcoming previous challenges in detecting main vibration frequencies and predicting vibration models in complex environments, making it an essential solution for accelerating industrial intelligence Haobo Technology's 'Smart Vibration Diagnostic and Monitoring Solution' has been successfully applied in PCB drilling machines, semiconductor equipment, machine tools, and medical equipment Haobo Technology's CEO Lu Hongyi states that the Smart Vibration Diagnostic and Monitoring Solution is distinguished not only by its noise reduction capability but also by the AI model's ability to instantly recognize abnormal frequencies in motor vibrations Since general motor sensors are too large to be mounted on the motors, Haobo Technology has customized thin sensors to be installed on the spindle motors, allowing AI models to be computed in real-time on edge devices, significantly reducing the cost of computational resources, with an overall potential reduction in costs by one-fourth Simultaneously, advancements in vibration detection for motor operations have exceeded past technological limits, thus allowing for the immediate detection of the minutest changes and providing early malfunction warnings, helping to extend the lifespan of the motors Haobo Technology has established a vibration data AI analysis platform that constantly monitors the health of motors Haobo Technology's self-developed AI engine is capable of training database modules from collected operational vibration data of motors and establishing a proprietary database for that equipment, which provides real-time comparisons during operation, monitoring if the production equipment is functioning normally Upon detecting any abnormalities, the system instantly issues a warning alert, enabling on-site managers to address the issue immediately to prevent large quantities of finished or semi-finished products from defects Haobo Technology's vibration data AI analysis platform can detect the most subtle vibrations in motors, thus precisely predicting their health status Lu Hongyi mentions that the company independently develops its sensors, hardware, firmware, and AI data analysis platforms, which allows for the detection of the faintest vibrations in motors, thereby accurately predicting their health status This optimization of product quality and preemptive monitoring of production equipment health aims to enhance productivity Haobo's 'Smart Vibration Diagnostic and Monitoring Solution' SVDM Solution has successfully been applied in PCB drilling machines, semiconductor equipment, machine tools, and medical devices, with future plans to actively promote across various industries and enter the international market, hoping to become a pioneer in smart vibration diagnostics Haobo Technology CEO Lu Hongyi「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

2021-10-06

Records of Solutions

OMO數位服務流程設計 描述消費者輪廓達到精準行銷
【2020 Solutions】 OMO Digital Service Process Design: Profiling Consumers for Targeted Marketing

OMO Digital Service Process Design Service analyzes digital footprints to capture consumer profiles Currently in Taiwan, retailers are primarily divided into four major categories convenience stores, wholesale stores, supermarkets, and department stores Among these, department stores, which are the largest in scale, despite their long history, face the challenge of weak digital capabilities Even today, they continue to use traditional methods such as physical DMs, sales events, and anniversary celebrations to communicate with consumers In today’s environment of intense price competition and rising labor costs, coupled with their lack of a price advantage, it is unrealistic to expect consumers to remain loyal These issues also reflect in their gradually diminishing sales force The III Service Innovation team believes that 'OMO Digital Service Process Design Service' may be a viable solution to help department store sectors transform「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

【解決方案】雲象科技AI數位病理解決方案 提升醫療品質 減輕醫師負擔
【2020 Solutions】 AetherAI's Digital Pathology AI Solutions Enhance Healthcare Quality and Reduce Physician Workload

In the medical imaging AI industry, an increasing number of startups are emerging, among which AetherAI has recently attracted attention At last year's MICCAI, an international medical imaging conference, AetherAI's digital pathology AI defeated Stanford University's team, aiming to utilize artificial intelligence to achieve precision medicine and alleviate the burden of time-consuming tasks on physicians Providing digital pathology solutions to meet artificial intelligence application needs Led by Dr Zhao-Yuan Yeh, AetherAI, though only a few years old, includes members skilled in both healthcare and technology, possessing strong interdisciplinary integration capabilities They excel in medical research, data science, software development, systems engineering, and medical knowledge and information technology, committed to offering solutions for digital transformation in pathology and AI-assisted diagnostics With digital pathology becoming a milestone in the development of whole-slide imaging technology, AetherAI has introduced the aetherSlide system solution Besides developing digital slide management and viewing systems, it also integrates image annotation, deep neural network inference, and training functionalities, thereby fulfilling the needs for AI module applications and development Although AetherAI has been formed only a few years ago, it has recently gained significant attention in the medical imaging AI industry Just recently, Dr Zhao-Yuan Yeh, Co-founder and CEO, was awarded as one of Taiwan's Top 100 MVP Managers Photo credit AetherAI's Facebook page A key feature of the digital pathology system is the customizable digital slide status bar, which can sort cases by priority, urgency, etc, thus providing clear visibility and facilitating time management The interface is also user-friendly, offering hotkeys combinations, one-click slide assembly, along with tools such as rulers, magnifiers, and seamless rotations that enhance consultation or discussion efficiency Regarding AI services, it offers applications like cancer detection and quantification, immunostaining quantification, and blood cell classification counting Cooperation between AI and physicians minimizes repetitive work, and the system supports extensive training annotation features with various selection modes, multi-category tagging, and freehand drawing Annotations integrate seamlessly into deep learning training, structured format output, and AI training data generation in everyday processes Last year, AetherAI developed an AI medical imaging development platform aetherAI, notable for its diagnostic automation, providing an end-to-end digital pathology AI development process Photo credit AetherAI's Facebook page It is worth mentioning that the digital pathology system supports robust management functions, especially capable of being integrated according to the hospital department's work assignment process, and even with existing hospital information systems, this saves man-power, enhances administrative efficiency through digitization In terms of file formats, it supports multiple brands of slide scanner types and whole-slide image formats like svs, ndpi, scn, mrxs, bif, tif Additionally, to reduce the burden of long-term storage in medical facilities, AetherAI's infrastructure supports significant expansion capabilities, offering scalable options based on user needs, and supporting local and data center options for long-term storage solutions AetherAI's digital pathology system boasts strong management features and supports various brands of slide scanners, enhancing workflow efficiency through digital operations AetherAI Digital Pathology AI Applications Reduce Doctor's Burden and Enhance Productivity and Consistency At the recent AI HUB conference, AetherAI demonstrated its AI medical imaging development platform launched last year aetherAI, its main feature being diagnostic automation This allows departments within hospitals to integrate various types of DICOM files and medical knowledge, boasting a highly scalable AI model capability, and providing an end-to-end digital pathology AI development workflow Currently, it offers digital pathology AI modules including automated bone marrow smear classification, nasopharyngeal carcinoma recognition, and glomerulus detection applications, involving nearly ten different types of datasets So, what are the tangible benefits for doctors Simply put, with a prior scan using AI, cancers can be confirmed without the lengthy manual review previously typical in bone marrow exams, thus greatly shortening repetitive tasks for doctors and enhancing efficiency in complex diagnoses Currently, aetherAI has reached recognition levels comparable to a pathology doctor's visual assessment standards, achieving an identification rate as high as 97 for nasopharyngeal cancer AetherAI's AI medical imaging development platform aetherAI can significantly reduce repetitive tasks for doctors, leading to more efficient and effective high-complexity diagnoses Currently, AetherAI's partners and customers mainly include large medical centers, with the University of Pittsburgh Medical Center leading internationally In Taiwan, includes major medical institutions such as Taipei National University Hospital, Taipei Veterans General Hospital, Chang Gung Hospital, Cathay General Hospital, Tri-Service General Hospital, Chung Shan Medical University Hospital, Taipei Medical University Hospital, among others, aiming to use artificial intelligence for precise medical applications, enabling deep learning in clinical practice to reduce the workload for doctors and elevate the consistency of medical quality AetherAI official website「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

【解決方案】專注各種量化分析技巧 木刻思挑戰深不可測的問題
【2020 Solutions】 Focusing on Various Quantitative Analysis Techniques to Tackle Profound Challenges!

In today's digital age, both individuals and companies face challenges in writing copy and designing layouts when managing a brand online What constitutes good design The online world often gives a mysterious impression, and the WoodThought team has been focusing on studying various data sources for years, hoping to find the answers they seek Focused on data analysis for exploring and solving problems WoodThought is a group of consultants specializing in data Big Data amp Deep Learning and solving the essence of problems The team utilizes various quantitative analysis techniques to challenge many of the profound issues found on the internet and strives to continually enhance the data analysis capabilities of both Taiwanese businesses and individuals The application of this technology is extensive, including personalized navigation and recommendation systems on news platforms, eCommerce personalization for navigation, search, and recommendations, or strategy development, design, and backtesting in financial transactions Moreover, WoodThought also offers data analysis courses like web scraping and data visualization in response to technological and current events, aiming to cooperate with both domestic and international enterprises to implement various data science solutions WoodThought is a group of consultants dedicated to data analysis, exploring and solving fundamental issues, utilizing various quantitative analysis techniques to challenge the many uncertainties of the internetImage Source） Taking the simplest web design as an example, WoodThought believes that with the advancement of personalized tracking technology and the combination of AB Testing experimental designs and testing techniques, professionals in all industries can now avoid relying on the so-called '20 years of marketing experience' Instead of using inefficient and unpredictable methods, making use of data analysis enables even intuitive observations to have a basis, thereby capturing the sentiments of online users Supported by adequate data evidence, incorrect decisions and directions can be corrected promptly before mistakes are made WoodThought showcased its proprietary 3D marking system at the recent AI HUB conference, which utilizes AI image recognition technology to help doctors quickly determine the condition of patients' lung nodules The AI model will automatically learn from the markings, providing recommendations for future markings by doctors, allowing for early discovery and immediate treatment, resolving past difficulties of 3D image marking and the challenge of obtaining marking data The team developed a 3D marking system using AI image recognition technology, significantly enhancing the efficiency of medical diagnosis The same AI data analysis technology, also applicable in the medical sector, was showcased by WoodThought at the recent AI HUB conference This includes their own 3D marking system with features like Auto-Learning and Pre-Labeling This system assists doctors in diagnosing lung nodules As doctors complete the diagnosis and marking, the AI model will learn from it and provide future marking suggestions, enabling early discovery and immediate treatment, thereby greatly resolving the difficulties of 3D imaging marking and issues of data accessibility WoodThought aims to solve various personalized service demands through data analysis techniques and calls for everyone to go beyond mere imagination, interact personally with different types of data, and dig out the answers behind the problems Over the past two years, core members of the WoodThought team have actively assisted and guided ordinary users on various e-commerce and media platforms to establish correct views through introducing relevant technologies and services This helps solve various personalized service demand issues and enhances the likelihood of matching products with customers WoodThought encourages everyone to leave behind imaginary notions, to engage with data, and to uncover the answers behind the problems, while also experiencing the problems behind the answers Given the rapid changes of the internet era, each rising wave brings different user needs and voices WoodThought aims to help everyone solve problems quickly and efficiently using various data analysis techniques「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

【解決方案】偲倢科技-被動元件高速AI瑕疵檢測平台 以機器取代肉眼提高產線效率
【2020 Solutions】 Spingence - High-speed AI defect detection platform for passive components improves production line efficiency by using machines to replace manual inspection

Inspection is an important part of maintaining quality in all factory production lines However, manual inspection is traditionally used to inspect the appearance of products for defects Visual inspection is not only prone to errors, but also requires high labor costs Spingence implemented AI technology into the inspection system and developed a high-speed AI defect inspection system for passive components, hoping to greatly improve the speed and efficiency of the inspection process Focusing on automation software development to improve production line inspection efficiency Spingence focuses on software design, development and sales It has a comprehensive and easy-to-understand automation development platform It uses the automation graphical platform LabVIEW and high-end software to provide evaluation planning for automation projects, including robotic arms, machine vision, and motion control equipment, in hopes of changing the existing automation software model through various implementation cases and experience It provides a production line inspection platform that can be quickly introduced and is easy to use, which helps major companies improve the automation process of their production line Spingence focuses on software design, development and sales, provides a production line inspection platform that can be quickly introduced, and assists major companies in improving the production line automation process Source of image Spingence At the recent AI HUB conference, Spingence displayed its high-speed AI defect inspection system for passive components As the name implies, the inspection system introduces AI technology to make the entire production line more efficient The reason for developing the equipment is because most factories used to use manual inspection of the appearance of products for defects, but long hours of manual inspection will result in a decline in work quality In addition, as more components become smaller and production speeds increase, it will become unbearable to the human eye This is why we hope to use the power of technology and use high-resolution cameras and high-performance imaging software to make inspection work of the entire process more efficient Rapid recognition and self-learning meet the high-speed inspection requirements of production lines The high-speed AI defect detection system for passive components can easily complete automatic process editing and arrangement based on different hardware configurations, and also provides optimized models Its speed can reach 1,200 pieces per minute with missed detection rate below 50ppm More importantly is the flexibility of configuration, in which different edge devices can be selected according to customersrsquo cost and speed requirements Of course, there is no problem in mixing them Taking the defect detection demonstrated on site as an example, the integrity of glue dispensed on the white platform is detected If traditional AOI algorithm is used, the surface of the glue may reflect light due to ambient light, leading to many misjudgments However, if the automatic learning characteristics of AI neural network are used, then it will be able to stably differentiate between reflection and defects from incomplete dispensing The high-speed AI defect detection system for passive components can easily complete automatic process editing and arrangement according to different hardware configurations Highly flexible configurations can be built according to customers' cost and speed requirements To build a network model with high accuracy, it not only requires long-term training, but also optimizes parameters for different products Spingence has highly optimized the algorithm in embedded devices, allowing the high-speed AI defect detection system for passive components to inspect thousands of objects in just one minute, meeting the high-speed detection requirements of production lines Image recognition has become the most important application of AI, especially in defect detection on production lines AI has fast recognition and self-learning functions, which can more significantly improve overall implementation benefits The software platform and technology of Spingence have been certified by many partners, and the introduction of automation into factories has become a trend in recent years Due to the differences in the design of each production line, automation must be highly customized work As more resources are invested in the future, Spingence also hopes that this automation software platform will provide customers with more diverse solutions and help companies easily move towards Industry 40 Spingence's official website

【解決方案】即時推薦對的商品 太米讓你的顧客轉換與回流自動增加
【2020 Solutions】 Instantly Recommend the Right Products: Taimi Increases Your Customer Conversion and Retention Automatically

Have you ever had an experience where, while randomly browsing online stores, it seems like the website can read your mind, constantly recommending products you want to buy Recommending the right product to the right customer at the right time For example, when you see a piece of clothing you like, similar items or accessories that could match it immediately appear below, and before you know it your shopping cart gets fuller and fuller The reason the webpage understands you so well is primarily due to the implementation of an AI engine that can automatically analyze customer preferences and recommend the right product at the right moment, invisibly increasing the consumer's purchasing intent and stabilizing the platform's customer base This is the expertise of Taimi Rosettaai Taimi Rosettaai provides software services to e-commerce platforms aimed at increasing conversion rates and customer retention rates, by analyzing consumer preferences through various AI engines and recommending personalized products online and offline Taimi Rosettaai is an internet company specialized in creating one-stop customer conversion and retention services for e-commerce, analyzing consumer behavior through various AI engines, and recommending personalized products both online and offline Referring to the previous mention of online shopping, throughout the entire shopping journey, clever integration of different AI engines on various situational pages—home page, product page, category page, shopping cart, checkout page—these designed APIs tailored to consumer needs and shopping contexts further deepen the analysis of consumer preferences Through accurate sales forecasting, it elevates the consumer experience and conversion rates Throughout the entire shopping journey, Taimi Rosettaai is capable of installing different AI engines on various pages, instantly recommending the right products in the right context, thereby invisibly enhancing consumer's purchasing intentions Different AI engines analyze different situations to create consumer return flow and increase lift-to-cart rates For instance, if a consumer lingers on a page buying a coat, not only similar styles get recommended below, but there may also appear clothing or accessories that complement that coat, such as undergarments, pants, belts, bags, etc The system will also consider the consumer's past shopping habits and recommend items they might be interested in For instance, if the consumer has previously purchased a DSLR camera, the page might suggest camera bags, cleansing kits, etc, relevant products Through AI technology, cross-analyzing merchandise information with customer preferences achieves personalized promotions Besides targeting the e-commerce market, Taimi Rosettaai also actively expands overseas, collaborating with major domestic and international accelerators in recent years, and hopes to apply its capabilities in different industries to seek more collaboration opportunities Taimi Rosettaai offers a variety of instantly usable API modules and basic situational combinations, allowing users to choose according to the characteristics of their website, without the need for large investments in building an AI infrastructure This enables clear understanding of customer preferences, significant reduction in marketing costs, and even inventory forecasting, thus effectively increasing e-commerce revenue Besides focusing on the e-commerce market, Taimi Rosettaai is also actively expanding overseas, having been selected by well-known domestic and international accelerators such as AppWorks, Founder Institute, Orange Fab, Zerothai, etc, over the past two years It also hopes to apply its capabilities to different industries in the future, seeking more collaborative opportunities Taimi Rosettaai official website「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

【解決方案】海量數位工程 智能羽球拍讓訓練變得更好玩
【2019 Solutions】 Massive Digital Engineering: Smart Badminton Rackets Make Training More Fun!

For many professional team trainers, recording players' training conditions in the past often required manual effort However, by mounting sensors on sports equipment and combining them with corresponding AI devices, it's now possible to easily record training data Massive Digital Engineering has launched the napa smart badminton racket, digitizing the often abstract actions in sports, which assists athletes in finding the right training direction Introduction to Massive Digital Engineering Established in 2000, Massive Digital Engineering focuses on data analysis and mining in areas such as ERP, Industry 40, and financial big data It services manufacturing industries like chemicals, sports equipment, and automotive components, as well as various retail and distribution sectors by offering system development, customization, installation, and integration, helping companies enhance operational efficiency The company excels in cloud big data, using publicly traded financial databanks to design up to 92 financial assessment standards, which serve as benchmarks for businesses to improve their corporate structures Additionally, in response to Industry 40 and smart manufacturing trends, Massive Digital Engineering continues to develop innovative intelligent technologies aiming to boost production efficiency while reducing costs and pollution The napa smart badminton racket handle embeds high-performance sensors that automatically transmit the collected data for AI-driven analysis to an app Massive Digital Engineering showcased the napa smart badminton racket at the AI HUB Conference Recently at the AI HUB Conference, Massive Digital Engineering unveiled the extensively developed napa smart badminton racket, digitizing complex and hard-to-measure sports movements applicable in various competitive sports This tool helps coaches in training and assists athletes in finding the right direction For leisure and entertainment, the napa smart badminton racket can transform traditional courts into smart courts, complete with real-time data display boards on both sides of the court This not only displays scores during matches but also enables players to instantly access various swing data, vastly enhancing the fun and interactive aspect of the game With years of experience in data analysis and mining, one may wonder why Massive Digital Engineering ventured into the sports domain It turns out that there is a backstory involving long-term subcontracting work for the well-known sports brand WILSON, combined with the good reputation of its own Napa badminton rackets and familiarity with badminton-related products Hence, starting from the basic physical product of the racket, years of AI research were integrated into the development of the napa smart badminton racket project The sensors on the racket record all swinging actions including speed, posture, energy use, and striking force, and even 3D swing trajectories can be reviewed via the app But how does the napa smart badminton racket work Here's the principle sensors embedded in the racket handle automatically collect data, which, through AI algorithms, is linked to cloud big data When connected to a smartphone, various sports records can be viewed via an app The racket's sensors document every swing—its speed, energy consumption, posture, and power—and even 3D trajectories If used with a smart wristband on the same hand, it can also monitor heart rate and blood pressure, then through various big data applications, provide personalized scientific sports recommendations For instance, some players may swing too broadly with enough power but incorrect direction, or they may exert too much force during a swing but lack strength during impact These common training issues can be effectively addressed and improved through the napa smart badminton system Besides the napa smart badminton racket, the napa intelligent system can also be applied to baseball By installing sensors in the bat handle, swings can be recorded in real-time Smart sports application scenarios The primary target audience for napa smart badminton includes players and coaches, and it is also suitable for individuals who want to train independently Beyond badminton, the napa intelligent system can be applied to other sports like baseball The underlying principle is similar, hiding sensors in the bat handle to instantly record swing trajectories, enabling hitters to more precisely determine the impact position and power point Additionally, integrating more professional training, such as weightlifting—where Hsu Shu-ching won two Olympic gold medals—has gained more national attention Traditional training predominantly uses verbal instructions, such as directing athletes to apply a certain amount of force backward or forward, but these descriptions are abstract Integrating the napa intelligent system into weightlifting, for instance embedding miniature sensors in silicone gloves, would allow precise tracking of movement trajectories through app data, making adjustments more accurate with systematic data Massive Digital Engineering is actively collaborating with various badminton venues, aiming to upgrade traditional courts to smart courts using the napa smart badminton racket Massive Digital Engineering has recently started collaborating with various badminton venues to upgrade traditional courts to smart courts using the napa smart badminton racket They also continue promoting through sports communities, sports digitalization, experiential marketing, and other diverse applications to revolutionize the current sports industry「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

【解決方案】艾歐資訊「AU照護辨識服務系統」 提升醫療完善率瞄準150億商機
【2019 Solutions】 Aurora Information 'AU Care Recognition Service System' Aiming at a 15 Billion Business Opportunity by Enhancing Medical Completion Rates

As the population ages, home care has become a universal issue In the face of low medical staff ratios, whether in hospitals or external care facilities, medical personnel face the challenge of insufficient manpower Aurora Information has introduced the 'AU Care Recognition Service System', aiming to enhance medical completion rates through AI and 3D imaging technology Aurora Information introduces the 'AU Care Recognition Service System' using non-contact 3D imaging technology to instantly detect patient movements and physiological data from beds, significantly enhancing medical completion rates The 'AU Care Recognition Service System' incorporates Time-of-Flight ToF and mmWave Radar sensing technologies, coupled with point cloud and mmWave deep learning analysis AI algorithms, significantly strengthening computer vision and image processing capabilities Preserving Personal Privacy While Precisely Monitoring Patient Admission Status Aurora Information recently showcased the 'AU Care Recognition Service System' at the AI HUB conference With the use of Time-of-Flight ToF, mmWave Radar, and other sensing technologies, along with point cloud and mmWave deep learning analysis of AI algorithms, it greatly enhances computer vision and image processing capabilities Additionally, unlike traditional cameras that raise personal privacy concerns, this system uses non-contact 3D imaging technology for tracking bed exits and physiological data, providing instant notifications to users The system offers long-range, multi-target, high accuracy, continuity, and persistence advantages, all while maintaining patient privacy and precisely monitoring various admission statuses Through 3D imaging technology, when detecting potential danger actions like falls or tremors on the screen, it can immediately alert designated personnel or medical stations within 3 seconds, lowering the chances of sudden patient deaths The 'AU Care Recognition Service System' also measures heart rate, respiration, and other physiological data, using AI algorithms to predict the likelihood of sudden death 3D Imaging Technology for Immediate Reflection of Patient Emergency Situations How does it work in practice Suppose a patient falls out of bed when unattended, traditionally, they could only passively wait for help However, with the 'AU Care Recognition Service System' using 3D imaging technology to detect actions such as falls or tremors, it can immediately notify designated personnel or medical stations within 3 seconds, reducing the chances of sudden death by 20 it also measures heart rate, breathing, and other physiological data, using AI algorithms to assess the risk of sudden death, potentially reducing the death rate by over 40 Moreover, the system can simultaneously assess multiple patients, infants, and the elderly, enhancing timely care efficiency by more than 20, thereby significantly lightening the burden on medical staff Through the smart monitoring interface, medical personnel can clearly see real-time conditions in hospital wards or stairways, with intuitive icons helping them grasp the situation immediately Amidst the global challenges of aging and chronic diseases leading to high medical care costs, the 'AU Care Recognition Service System' effectively addresses the pain point of insufficient medical care According to the medical data released by the Ministry of Health and Welfare last year, if the 'AU Care Recognition Service System' were to be standardized, the market size for Taiwan's medical care institutions alone would be as high as 15 billion NTD Currently, Aurora Information is actively cooperating with the government, universities, and nonprofit organizations, hoping to contribute to medical care「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

這是一張圖片。 This is a picture.
【2019 Solutions】 Do products need 'AI Face Recognition' to qualify? The era of smart imaging has arrived, spearheaded by Juou Technology's interdisciplinary developments.

AI information technology can be utilized in very distinct industrial fieldsUnmanned factories, automated production lines, and robotic arms, etc To accelerate production lines to achieve economies of scale and simultaneously reduce costs, major production lines look forward to continuously optimizing in various aspects to reduce errors and increase yield rateIn the production line, quality control testing is a critical step that significantly impacts product quality Taiwan's Juou Technology Corporation stands out in its research and development efforts, not only addressing the management of Taiwan's resources and urban-rural development issues but also in its performance through innovative cross-disciplinary integrationWithin Juou's GEO IOT plan, two parts of the cross-disciplinary technology project are implementedPart oneWithin the AOI technology area, there is active investment in the technical development of big data, artificial intelligence, and data science It also involves the development of a high-speed, high-precision optical imaging inspection system in the production line quality management This technology utilizes machine vision with high focus and sensing to capture the surface images of products and automatically assess whether the products meet the quality standardsThis non-contact inspection tool not only speeds up the inspection process and identifies product defects but also automatically discriminates flawed products It is also applicable for the inspection of semi-finished products in the production line In enterprises that are major producers in Taiwan or those with a focus on quality, this optical combined with image processing system is necessaryPart twoBlood tests, crowd recognition, access control in danger areas construction sites, IVS, AIR vehicle controlBiometric recognition technology utilizes the characteristics of organisms for identification, including iris, retinal, and body shape recognition It also enables the monitoring of people flow within a specific space to quickly capture more information about crowd movements Beyond handling crowd recognition, Juou Technology also employs recognition technologies for control and monitoring of hazardous areas such as construction sites and production lines For instance, in spatial detection technology—if a construction worker forgets to wear a safety helmet or safety suit, the detection equipment will notify them upon entry to the site, thus reducing risks caused by human oversightCommitted to the innovation of the brand and the integration between sectors, it is believed that through digital technology and multi-disciplinary integration, the sustainable and innovative development of Taiwan will be driven「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

【解決方案】切斯特SchoolBot機器人 為親師間打造最佳溝通平台
【2019 Solutions】 Chester SchoolBot Robot - Creating the Optimal Communication Platform for Parents and Teachers

For parents with young children, discussing matters with school teachers via the instant messaging app LINE is a good method Although LINE groups are convenient, if there are too many people talking at once, it can make what should be simple communication inefficient Starting from the service of campus smart vending machines, solving the pain points in parent-teacher communication In order to facilitate better communication between parents and schools, Chester International Co, Ltd and Zhonghua Lin Co, Ltd have collaborated to launch the SchoolBot service In fact, last year when Chester deployed the iMvending smart vending machine service at Taipei's Xingan Elementary School, they observed many communication pain points between parents and teachers This influenced the development of SchoolBot Utilizing the popular instant messaging app LINE as its platform, SchoolBot is essentially a robotic assistant for schools, incorporating LINE Bot and AI auto-response technology, and offering a pioneering one-on-one communication method that eliminates the clutter of traditional LINE groups SchoolBot incorporates LINE Bot and AI automatic response techniques, along with a pioneering one-on-one communication method in Taiwan, ensuring avoidance of the chaotic situation common in traditional LINE groups Automatic categorization makes it user-friendly, and privacy is secured Thanks to the adoption of AI technology, SchoolBot offers more applications than expected, providing a user-friendly and intuitive operation experience, as if chatting with a real person Whether helping children take leaves, sending messages to specific teachers, the system emphasizes categorization, allowing schools to identify and send messages to the appropriate recipients For parents, aside from basic inquiries, SchoolBot also supports categorization by child's student ID Upon the first use, when parents input their child's student ID, the system automatically categorizes it into the corresponding class, eliminating the need for manual selection and ensuring privacy security Whether helping children take leaves or sending messages to specific teachers, SchoolBot provides a smooth and intuitive operation experience, similar to chatting with a real person Additionally, SchoolBot caters to the common discussion scenarios faced by teachers and parents, integrating a practical online survey service This not only saves time and streamlines work processes for teachers but also supports the modern trend of going paperless Notably, the SchoolBot system automatically 'levels up' at the start of a new academic year, automatically advancing students to the next grade level, addressing the manual update problem that similar services face Chester has already collaborated with Xingan Elementary School, and hopes to expand the service into various community-based scenarios, creating a more convenient communication platform Besides schools, SchoolBot is also suitable for various scenarios like daycare centers, tutoring centers, and parent associations Chester has already partnered with Taipei's Xingan Elementary School and plans to continue expanding SchoolBot to other places, aiming to build a more convenient communication bridge for community-based scenarios「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

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