In light of the rapid development of Artificial Intelligence AI, InfuseAI has created PrimeHub, a one-stop AI deployment platform software, with the aim of lowering the barriers for AI adoption and assisting enterprises in a successful transformation InfuseAI Inc, founded in 2018 by senior developers from the Taiwanese open-source community, g0v's Chia-liang Kao, and KKTIX founder Liang-Bin Hsueh, specializes in PrimeHub, the AI deployment platform software InfuseAI's COO Liang-Bin Hsueh shares insights on MLOps implementation and application InfuseAI's COO, Liang-Bin Hsueh mentioned that AI project development is an iterative process During the AI product lifecycle from data collection, development, model deployment to monitoring etc, it contains many technical debts that prolong the project cycle, increase costs, and significantly reduce the benefits Furthermore, according to statistics, data scientists spend 65 of their work hours on tasks other than model development The realization of AI not only involves development but also includes maintenance and cross-team collaboration issues All these factors significantly slow down the speed of AI development to match the company's needs Liang-Bin Hsueh points out that the issues arising from the inability of AI development speed to keep up with enterprise needs can be specifically illustrated in the following two aspects Speed of AI model development In the past, it took 1 to 2 years to complete an AI project However, as enterprises adopt AI, the project and AI model numbers multiply Operational issues after AI model deployment The lifecycle of an AI model begins after deployment As data accumulates, AI models can be retrained to enhance performance However, as the number of models grows, operational issues and computational resource bottlenecks emerge Hence, the MLOps platform—PrimeHub, developed by InfuseAI, encompasses the processes from AI model development, training management, to operational deployment and monitoring, offering a one-stop platform service through a smooth automated AI workflow that enables true enterprise AI implementation In other words, the InfuseAI team continuously adds to PrimeHub Apps by integrating third-party application services, actively collaborating with more manufacturers to seamlessly integrate AI models into PrimeHub, and eagerly anticipates cooperation with more businesses focused on AI technology and SI partners to inspire more applications on the MLOps platform and further promote large-scale AI implementation Since its formation over three years ago, InfuseAI's clients include Taiwan AI Academy, ESUN Financial Holdings, Sinopac Financial Holdings, National Taiwan University Hospital, and Chi Mei Hospital Among these, InfuseAI works closely with Taiwan AI Academy to address various academic needs Teaching assistants at each branch only need to operate simply in the PrimeHub platform, where all management tasks are automatically completed Students in PrimeHub’s self-service platform establish a uniform pre-configured environment, allowing multiple deep learning calculations simultaneously, isolated by containers without interference Additionally, assistants can decide on the data to load based on the course progress, automatically loading course files and datasets when students launch the environment Yushan Financial Holdings began intensive integration into AI development in 2018, acquiring GPU computing resources They discovered the need for robust infrastructure to speed up operations amidst numerous individuals and projects concurrently They sought a management platform to assist with computing resource management and data authorization Liang-Bin Hsueh states that the PrimeHub platform aims to help enterprises scale AI development, reducing model deployment time from days to hours, further facilitated by APIs and APPs to automate and optimize workflows PrimeHub operates on a yearly subscription basis, promising ongoing optimization of the platform environment and the flexibility to offer customized services to different customers Currently, it offers three solutions PrimeHub Enterprise Edition, PrimeHub Deploy—a lightweight model deployment management plan, and PrimeHub Community Edition, allowing users to choose according to their needs This article is a curated selection from the "AI Engineering Online Meetup"「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

E-Hui Technology collaborates with the Institute for Information Industry to create an anomaly detection system In closed production lines where anomaly data is hard to collect, the biggest problem with AI image recognition is the paucity of training data and its rarity, making implementation very challenging E-Hui Technology, in collaboration with the Service Creation Institute of the Institute for Information Industry, has developed unsupervised learning technology, wherein the computer does not need to label specific items to recognize during its learning process It classifies based on the characteristics of the data For instance, in manufacturing, where defect detection is critical, the system first learns from the predominantly normal products on the production line When a few defective items are mixed in, the machine uses classification rules to screen out the defective items Similarly, if a consumer credit card transaction suddenly shows completely unusual characteristics that do not match typical patterns and habits, the machine autonomously detects this anomaly Due to its distinctiveness, this technology is applicable to unique sectors Using unsupervised deep learning algorithms for developing AI anomaly detection technology eliminates the need for collecting and labeling anomaly data, reducing the introduction period to 1-2 months The target market is traditional industries such as chemical and steel, which find it difficult to gather anomaly data This technology has a high tolerance for image quality, requiring only regular surveillance footage from the production line to train the model It can detect various types of anomalies and has a simple and fast implementation process The system includes components for image acquisition, training mechanisms, edge real-time computing hosts, and cloud inspection services, forming a complete anomaly detection solution that can be integrated with factory patrols, apps, and other reporting mechanisms 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Originally believing that Taiwan was not fertile ground for the development of remote medical services, Xu Keyu, founder and CEO of the Health Networking Information Company, was driven by goodwill to build a remote medical collaboration platform for rural areas The easing of regulations and the isolation caused by the COVID-19 pandemic unexpectedly ignited the demand for remote medical care 'The wind has risen,' Xu Keyu, standing at the cusp of opportunity, sailed the winds, developed the 'Immediate Doctor View APP' and marked a new milestone in Taiwan’s remote medical services Xu Keyu lived in the United States for 20 years and was deeply involved in venture capital, boasting over 30 years of high-tech investment and management experience in Greater China and Silicon Valley Due to the vast geographic size of the US, accessing medical care is challenging, hence remote medical care is quite common, with home-care doctors conducting initial diagnostics and giving treatment advice over the phone From a charitable perspective, creating Taiwan's first remote medical platform After retiring and returning to Taiwan, Xu Keyu participated in rural medical volunteer activities with the Rotary Club Moved by the scarcity of medical resources in rural areas, where volunteer doctors pay for their own transportation and medication, and differ in time attendance, leading to repeated consultations and resource sharing issues Therefore, Xu Keyu hopes to promote remote medical services by establishing a cooperative platform, starting from a 'charitable' perspective Health Network Information Company's 'Immediate Doctor View' platform offers a system free of charge for volunteer doctors, with features including video recording, video calls, registration, and medical records Currently, over 200 doctors are stationed on the platform According to Xu Keyu, there are two models of remote medical services One is the Smart Hospital model, which is centered around hospitals primarily with the aim of treating diseases, incorporating clinics, pharmacies, cooperative medical labs, and even mobile device providers, with services provided to patients by the hospital integration The second model is patient-centered Internet medical treatment, where all medical-related facilities revolve around the patient The ownership of medical data and records belongs to the patient, not the hospital Doctors need authorization to access patient data, and patients can also revoke a doctor's authorization This approach can revamp the physician-patient dynamic, shifting authority back to the patients, also forcing doctors to improve overall medical quality by eliminating weaker elements Statistically, there are 58 rural health stations and 15 island health stations across Taiwan, with only fixed visiting family physicians stationed By using the system platform, only nurses need to operate retinal cameras and related portable diagnostic equipment to immediately get health reports Once the doctor in the remote location detects an issue, they can quickly arrange referrals, allowing for early detection and treatment, which saves on medical costs and secures health Starting from a charitable initiative, providing a field for verification of innovative business models in healthcare, the loosening of regulations brings more possibilities for remote medical care, turning Taiwan, once considered a 'remote medical desert' by Xu Keyu, into a place showing signs of developmental dawn In response to remote medical services, the Ministry of Health and Welfare officially issued the 'Telemedicine Treatment Measures' on May 11, 2018, relaxing the care targets and modes for remote medical care, which include follow-up for acute inpatients within three months, institutional residential long-term care residents with chronic prescriptions from a medical institution, integrated care related to family doctors, and foreign patients who are not covered by national health insurance but are planning to receive or have received treatment from local medical institutions, all of whom can benefit from remote medical services Remote medical services include health education, health promotion, disease prevention, and post-recovery treatments To protect public health, the Ministry of Health and Welfare will promote the 'Health Passbook' in the second quarter of 2020, aimed at returning the autonomy of health care and medical record data to the public, aligning with Xu Keyu’s philosophy The 'Immediate Doctor View APP' primarily targets the B2B market, focusing on corporate employee care According to a research report by the 104 Job Bank, each year over 100,000 managers resign to take care of elderly family members, causing corporate personnel turnover If this platform is utilized effectively, through triple video conferencing and full recording, one can accompany their parents for a doctor visit while in the office, reducing the chance of managerial resignations Additionally, with the introduction of remote medical care benefits in enterprises, whether on assignment or business trips, personnel can receive timely medical consultation and care, enhancing the company’s ability to retain talent Moreover, hospitals or clinics can also create VIP groups through the system platform, providing exclusive home care for VIP clients with significant assets, or for patients with severe conditions, offering appropriate medical resources at all times, reducing costs for hospitals and ensuring better care for patients Technology drives remote medical services, with AIIoT being crucial Xu Keyu states that technology is the driving force behind Taiwan's remote medical services, with AI and IoT playing key roles Here, 5G helps solve the fundamental network issues, and IoT devices collect personal physiological information including temperature, heart rate, pulse, and blood pressure These devices, in conjunction with AI, identify potential issues and provide guidance, assisting doctors in making remote disease diagnoses and offering precise recommendations The Immediate Doctor View APP system includes four modules 1 Communication module, including CTI features which automatically bring up client-related data such as medical history, personal information, and IP address upon phone connection 2 HIS module 3 Service support module 4 Online payment module This system has been providing remote medical services to rural areas, expatriates, international students, and travelers abroad since April 2019 Now, whether in rural areas or overseas, during the day or at midnight, patients can immediately access professional medical consultations through the mobile video feature Xu Keyu believes that the biggest challenge in entrepreneurship is to integrate various stakeholders in the overall ecosystem, including doctors, devices, and data He has to devise methods and strategies to persuade everyone to join the platform, initially providing resources for free, and plans to adopt innovative business models in the future, charging listing fees, thereby fostering mutual benefits among doctors, patients, corporations, and device providers on the platform, and building a more robust environment for Taiwan's remote medical services Immediate Doctor View APP development team Health Network Information Company Founder and CEO Xu Keyu「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

On average, one person is diagnosed with colorectal cancer every 37 minutes, making it the most prevalent type of cancer in the country for many years In its early stages, the disease is almost asymptomatic, and if there is lower gastrointestinal bleeding, it often goes unnoticed when mixed with feces Patients without regular screening habits can easily miss the optimal treatment window Unlike the existing iFOBT stool tests, Rui Ai Biotech has developed the world's first home-use 'Hemoglobin Sensor' referred to as 'Blood Gun', which can detect blood in the toilet bowl after defecation This helps users to interpret risks that are invisible to the naked eye, aiming not just to facilitate home health management, but also to improve the screening willingness and initiative of potential patients Patent King's Startup, Home-use Blood Gun Wins National Innovation Award The current hospital-based fecal occult blood test requires individuals to collect stool samples and go to the hospital for biochemical analysis This process lacks convenience and immediacy, reducing the public's willingness to undergo testing When the blood in a patient's stool solution is visible to the naked eye, it often indicates that the disease has progressed to stage II or III In light of this, the innovative research team from Hsinchu, Rui Ai Biotech, founded in 2017 by Dr Yan Shuo-Ting, a renowned 'Patent King' from Foxconn group, identified a gap in the current needs for occult blood testing Utilizing his expertise in semiconductor optics and proprietary algorithms, he led the team to develop the 'Hemoglobin Sensor' for home use, which not only attracted angel investments from the US but also garnered numerous patents and the 16th National Innovation Award in 2019, winning countless accolades nationally and internationally Photometric Occult Blood Sensing Technology A 10-second Test After Toilet Use The Hemoglobin Sensor is easy to use Employing optical sensing technology, users simply follow five steps after defecation to effectively detect early signs and initiate early treatment Step One After defecation, allow the feces to settle in the water for five minutes, then attach the specialized filter paper to the front probe of the sensor Step Two Press and hold the power button for three seconds to turn on the device Step Three Briefly press the sensing button to begin measurement, immerse the front probe in water for about 10-15 seconds Step Four After viewing the results displayed on the screen, push the filter paper into the water the paper is biodegradable and flush confidently Step Five Rinse the probe with clean water for 3-5 seconds and wipe with a tissue, place it back on the charging stand Blood Gun Usage Method Image Source Rui Ai Biotech Optics Combined with AI Improves Accuracy, Creating a Staple Home Product The main challenge in home-based occult blood testing is eliminating noise, identifying hemoglobin signals, and analyzing them There are currently home-based hemoglobin test papers available however, due to the difficulty in avoiding impurities at home which affects accuracy, and the relatively high cost of consumables, it has not yet become widespread in the market The photometric 'Hemoglobin Sensor' breaches these technological barriers, with its internal optical components utilizing a highly sensitive CMOS image sensor CIS, combined with an optical module minimized to the smallest possible size The proprietary algorithm analyzes and effectively avoids noise interference, accurately determining the results as negative no occult blood or positive occult blood present Blood Gun Spectral Sensing Technology Diagram Image Source Rui Ai Biotech The handheld 'Hemoglobin Sensor' has been crowdfunding on the platform ZecZec since February this year, reaching its target of one million New Taiwan dollars by the end of March It is also available for purchase on PChome Store Street httpswwwpcstorecomtwredeye Rui Ai Biotech hopes to make the Hemoglobin Sensor a household essential for testing, and is also committed to promoting the extended application of this patented technology, such as integrating it into smart toilets The product has already attracted attention from several domestic and international bathroom and health testing equipment manufacturers, presenting considerable potential business opportunities and marketability Rui Ai Biotech Team, fourth from the left is CEO Dr Yan Shuo-Ting Image Source Rui Ai Biotech Facebook Rui Ai Biotech Blood Gun Introduction Image Source Rui Ai Biotech This article is published with permission from Rui Ai Biotech on AI HUB「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

"Fans" are small but crucial components found in computers and home appliances Though simple and comprising only a few parts, these components are key to maintaining 'coolness' and thus ensuring the longevity of machines But how do fan manufacturers detect the quality of fans The answer lies in 'listening' to the sound produced during fan operation to judge their quality Issues such as axle misalignment, bearing anomalies, or blade interference can produce unusual noises, indicating that the fan is of poor assembly quality Similarly, assembly quality inspection for other 'moving parts' like motors, engines, compressors is often carried out in a similar manner As depicted below, auscultation testing of Ford RS engine assembly quality Auscultation testing of Ford RS engine assembly quality Image source kknewscc Historically, fan industry inspectors must complete 3-6 months of 'auditory recognition' training before officially starting work, which takes place in soundproof booths similar to phone booths to ensure no background noise interference However, after about 6 months varies by individual, human ears become fatigued by specific sounds and require reassignment to other tasks The ASUS AI Solutions Team leverages the fact that 'human hearing acuity decreases over time, but AI does not,' thus completely solving the pain point of continually having to retrain inspection staff AI Identifies Problematic Motors, ASUS Helps Monitor Quality for Businesses To address the aforementioned pain points, ASUS uses recorded sounds of properly functioning fans to create 'good fan sound waveforms' for AI to learn The co-general manager of ASUS Smart IoT Business Group, Quan-De Zhang, stated 'This is not about matching sounds, which would require exact replication Instead, for fans, AI needs to learn what constitutes a good category and what is considered an anomaly' Additionally, ASUS's technology facilitates the training and creation of AI models, enabling their own PE engineers production engineers to perform model-building tasks, keeping the models within the company as a core competitive strength For each new fan model introduced into production, only 3 recordings of 30 seconds each of the approved fan sounds are required to complete the AI model, swiftly integrating it into production Several domestic 3C fan manufacturers are progressively implementing the ASUS Smart Waveform Detection Solution, and during its integration, ASUS supports training and optimizes AI models, reaching an inspection accuracy equivalent to quality control inspectors They are happy to report that AI inspection can 1 work continuously without interruption, 2 produce consistent quality, and 3 establish a digital production record for the products, facilitating future product tracking and process analysis—a long-term goal for fan manufacturers In addition to familiar 3C fans, the ASUS AI Smart Waveform Solution's sound anomaly recognition applies to all 'moving parts' and can also assess the assembly quality of motors produced in factories Once AI 'hears' an abnormal sound from a motor, it can identify defective motors Apart from sound, the same artificial intelligence solution also has the capability to recognize anomalies in electric current, voltage, and vibration waveforms In environments with significant background noise or complex sound collection, detection can flexibly switch to monitoring electric current, voltage, or vibration waveforms to ensure quality inspection of assembled products AI Recognizes Digital Waveforms, Preventive Maintenance for Equipment AI can also 'listen' to detect abnormalities in plant equipment motors, determining when motors need maintenance or replacement Typically, maintenance checks on motors are carried out on a scheduled basis through inspections For industries like steel or chemicals, where continuous production is crucial, any motor failure can cause significant material losses, massively outweighing the cost of the motor itself Although larger motors are not readily available and unexpected downtime can extend for days or weeks resulting in substantial losses, many businesses use scheduled maintenance to replace motors earlier than necessary, opting for high costs over wasting entire production lines of materials or experiencing shutdowns With ASUS's Smart Waveform Anomaly Detection Solution, all operating motors within a plant are monitored for anomalies, setting alerts to facilitate timely maintenance or parts replacement, achieving the goal of preventive diagnosis and maintenance AI Detection is Convenient and Rapidly Deployable The environments for production and quality inspection vary significantly, and AI application development is highly customized If the ASUS Smart Solutions Team had to customize AI for every single client, dealing with up to 200-300 suppliers and a variety of dispersed products, it would consume vast resources and be inefficient Thus, 'reducing the customization ratio and increasing standardization' is another goal of the ASUS Smart IoT Team They aim to reduce the industry-wide AI application customization ratio from 60-70 to 20-30 In the future, every new project that ASUS Smart IoT Solutions handles will only require a 20 customization adjustment, allowing for replication and scalable deployment of solutions「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Emerging AI technology team Atelli has joined the Taiwan marketing tech circle, developing multifaceted AI products with core algorithm technologies to help businesses enhance their commercial outcomes Atelli, originally branched out from the digital marketing consultancy adGeek Co-founder Chen Jianming pointed out 'Technology is increasingly leading digital marketing, and the use of data will only increase Facing a massive amount of data and competitive external environment, advertisers need to utilize technology to reach potential customers, achieve goals, while also effectively managing manpower and time' Hence, the team started developing AI advertising products a year ago, and now Atelli has become an independent AI technology company, focusing on the development of AI products Atelli launched the first product of its Business Booster series in 2019, the AI Ad Pitcher, helping advertisers execute Google and Facebook ads with AI Within six months, over 500 Facebook ad accounts were accumulated, with a monthly advertising spend of over 50 million, helping customers find potential market customers previously hard to reach manually The team shared many customer experiences with the product besides improving performance, there's no need for complex system setup processes It can go live in just 15 minutes, and automatically optimize ad performance 24 hours a day, indeed reducing 90 of the marketing staff's workload, allowing them to focus on more significant business strategies The thoughtful product design has successfully established customer goodwill and trust Atelli co-founder Huang Yingzhe stated, 'The shift in the marketing environment is truly an evolutionary process We deeply understand the challenges enterprises face, including adapting to technology, the burden of labor costs, and expectations towards goals Using technology to help businesses overcome challenges is the purpose of establishing Atelli, combining AI with data to transform past manual advertising optimization into advertising evolution Positive customer feedback and goal achievement prove that we are on the right track' The biggest competitive advantage of the Atelli AI Ad Pitcher comes from three features achieving the best AI evolutionary algorithms, generating a high-value audience, moving away from rigid rule-based adjustments, considering multiple real-life scenarios, integrating more human elements and comprehensive intelligent adjustments An advertising campaign involves many different setting elements, such as audience interests, agegender, keyword themes, etc, each considered as an 'individual' With AI algorithms, past 'advertising optimizations' are elevated to 'advertising evolution' Atelli's AI Ad Pitcher can automatically adjust bids, thereby reducing advertising costs Image source Atelli Atelli's AI Ad Pitcher can find target audiences that are difficult for the human brain to envision, thus boosting advertising effectiveness Image source Atelli Supported by Atelli, successful cases of enhanced advertising effectiveness are spread across various industries For example, by optimizing operations with AI, the team helped a client running a fashion e-commerce platform to improve the quality of new site visitors, reducing new visitor acquisition costs by 60 and increasing orders by 160 For clients in the health food industry promoting new products online, the team used its core algorithms to precisely determine the target demographic, not only reducing the advertising cost by more than 10 but also increasing new customers by 200 Moreover, through AI automation and ad combination matching to find potential target groups high-value, new customers, the cost of gathering prospects for exclusive events like luxury car shows and online computer courses went down by at least 50 Atelli Product Manager Chen Lin mentioned their AI product with pride, saying, 'We are fully confident in our ability to help advertisers, based on our extensive past ad optimization experience and over five years of accumulated data Whether it's expertise or the volume of data, we're sure we can assist Moreover, integrating all ad campaigns seamlessly, we significantly reduce the customer's execution burden The system is easy to use, time-saving, finds more new customers, and effectively boosts performance The feedback we often hear from customers is that AI-run ads can increase effectiveness by an average of 10-20, with some customers seeing improvements of up to 200-300 Therefore, customers are willing to continue using AI to enhance their brand's competitive edge Atelli will continue to develop diverse AI products to help Taiwanese business owners find the best solutions through technology' To learn more about the Atelli AI Ad Pitcher product details, feel free to contact the Atelli teamContact E-mail csatelliai This article is published with authorization from Atelli on AI HUB「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

After the outbreak of COVID-19, the global manufacturing supply chain has undergone major changes, and the demand for localized production has greatly increased To help traditional industries achieve digital transformation and enhance their competitiveness, Shinewave, which has more than 20 years of software experience, has also been actively branching out from information technology IT into operational technology OT in recent years, and has jumped on the AI train, working with its parent company ASUS to seize the smart manufacturing market Software expert Shinewave transforms into a solution provider Shinewave is a software subsidiary of ASUS It was established in October 1998 by the product business group team of the Institute for Information Industry III "The company's slogan was 'We deliver quality software' during early periods, but it has now been adjusted to 'We deliver quality solutions'" Chun-Hua You, President of Shinewave, added that Shinewave has also transformed from providing software products to providing total solutions in response to customer needs The solutions provided include software, hardware, and system integration With more than 20 years of experience in manufacturing, Shinewave is now be able to create higher value for customers with the support of AI and IoT The main purpose of Shinewave's "Manufacturing Factory Automation Information Management System" is to help manufacturing customers strengthen the collection of production data in various units of the factory such as materials, production management, manufacturing, quality control, and warehouse management, and to quickly and accurately determine the current condition of production The complete network mechanism allows remote decision-making and factory management to be synchronized, and effectively monitors the manufacturing, quality control, and shipping processes, monitoring production in real time and improving product yields This achieves production efficiency and customer satisfaction, and reduces unnecessary management costs that do not add any value Shinewave helps customers create a blueprint for smart manufacturing with its complete information system framework and solutions Shinewave is committed to developing total software solutions for factory automation in the nbspmanufacturing industry, and has accumulated experience in more than 200 factories so far Its customer base covers 3C product assembly, notebooks, and industrial computers, and has a leading position in relevant markets Besides building strong competitiveness in the electronic and IT product assembly industry, Shinewave also assists corporate customers with widening their lead in the industry, and continues to strengthen data collection from each unit of the production line, allowing remote decision-making and on-site management to be synchronized in real time, while reducing factory management and maintenance costs In terms of future business expansion, traditional industries that are highly dependent on machinery have strong demand for information, visualization and AI This is the industry that Shinewave is currently actively focusing its efforts in Implementation of traceability to enhance the competitiveness of the design process "Wide variety in small quantities and customized markets are an important driving force of smart manufacturing" said Chun-Hua You In the past, foreign companies including HP, IBM, and Dell required Taiwanese foundries to establish a complete "traceability" system The electronics assembly industry is highly labor-intensive, has limited machine control capabilities, and has a large amount of production and testing data The key to competitiveness lies in the collection of data through information systems and providing traceability and analysis capabilities, so that OEMs can design products, improve quality, and improve processes Shinewave provides total solutions for electronic assembly plants In addition, data collection is also widely used in testing and quality inspection Using burn-in operation in the electronics industry as an example, the system automatically downloads and executes the test program by comparing the machine model and material number, monitoring abnormal conditions in real time, adjusting the test environment or suspending operations at any time The product quality can be immediately determined without waiting for the end of the testing process, which also allows companies to reduce labor and time costs Shinewave has accumulated a wealth of experience in electronic assembly processes Chun-Hua You pointed out that the consumer electronics industry adopted information systems earlier, and the main production lines are already in the Industry 30 stage To achieve the goal of Industry 40, future efforts will be directed to AIIoT In terms of AI, Shinewave is actively working with its parent company ASUS in AI image processing, recognition, and defect detection, and expands and deepens AI technology application solutions In terms of IoT, Shinewave has cooperated with a number of manufacturers in connecting machinery to the Internet and data acquisition, helping customers monitor the status of on-site production equipment in real time, reducing losses caused by abnormalities Over the years, Shinewave has combined its experience with major ERP companies in the industry to provide customers with total solutions for information collection at the internal planning and execution levels within the company Now it hopes to use its own capabilities to further integrate AI and IoT, join forces to provide customers with total solutions, and assist manufacturers with building a core information flow system for smart manufacturing through Shinewave's MES, integrating ERP, PLM, APS, and WMS and combining it with the physical layer of equipment automation This will allow vertical and horizontal information to be completely collected and actively used to develop smart factories and move into flexible smart production Chun-Hua You, President of Shinewave nbsp

Electrode aluminum foil is a key material for passive components in automotive electronics In the past, it mainly relied on hole detectors that could only detect simple defects With the advancement of automotive electronics, the demand for automotive electronics-related components has become stronger Since the products involve vehicle safety and environmental testing issues, the missed rate should be maintained at 0, while maintaining a misjudgment of less than 05, which are relatively strict quality requirements Smart manufacturing AI company Kapito developed the world's first customized electrode aluminum foil AI quality inspection solution The world's first customized AI quality inspection solution for electrode aluminum foil Kapito is committed to providing global manufacturing innovations and providing reliable AI quality inspection solutions fastableai uses multiple AI algorithms combined with multi-angle optical lenses to assist the manufacturing industry with product appearance inspection, reducing costs, stabilizing quality, improving efficiency, and expanding scale Targeting new business opportunities in automotive electronics in the future, Kapito developed fastableai, a hardware-integrated AI quality inspection solution It has completed the customization of an electrode aluminum foil production line and assisted Liton Technology, a major electrical etching and foil forming manufacturer, with completing production line deployment throughout Taiwan, using AI image recognition technology to effectively improve the quality and efficiency of Liton Technology's production lines Feng-You Sun, founder and CEO of Kapito, said that automotive electronic products have higher requirements in environmental testing because they involve vehicle safety The misjudgment rate of general commercial goods is between 2 and 10 The misjudgment rate for automotive electronics should be maintained at 0 and may not exceed 05 The quality inspection solution for a customized electrode aluminum foil production lines developed by Kapito mainly uses the AI algorithm of fastableai and big data analysis to achieve a misjudgment and missed rate close to 0 fastableai AI The defect detection solution has achieved remarkable results in reducing manpower, increasing scale, and shortening the payback period After Liton Technology deployed fastableai in all production lines in Taiwan, it broke through the bottleneck of quality inspection manpower, and can stably monitor the quality of aluminum foil production 24 hours a day, expanding its production scale In the past, more than ten kinds of aluminum foil defects were difficult to identify due to the limitations of aluminum foil production methods fastableai can accurately detect the defects and further upgrade the quality It is worth mentioning that in addition to quality inspection, fastableai also acts as the brain of production equipment It utilizes big data analysis and management to predict the maintenance cycle of production equipment and effectively improve the availability of equipment Chang-Yuan Chen, spokesperson of Liton Technology, said that through in-depth cooperation with Kapito and the introduction of fastableai into the production line, the quality status can be monitored at any time, which greatly increases the confidence of Liton Technology in the quality of its aluminum foil products in the automotive market, achieving the highest quality products fastableai uses AI algorithms to achieve 0 missed rate and 041 misjudgment rate Kapito was established in 2017 The founding team combined AI technology of Silicon Valley and the wealth of industry experience in Hsinchu Science Park, using cutting-edge technology to solve the most common pain points of Taiwan's traditional manufacturing industry, such as low birth rate and labor shortage fastableai is a device that integrates hardware and software developed by Kapito for "quality inspection" It uses an optical lens to capture images around the product, and then uses multiple AI algorithms for image recognition It can effectively handle extremely complex defects that are difficult to identify with the naked eye, and achieve accurate judgment and analysis capabilities close to the human eye, helping factories automatically complete product appearance inspection fastableai has achieved 0 missed rate and 041 misjudgment rate in the inspection of automotive electronics fastableai AI Defect detection solution applied to the leather inspection system interface In addition, fastableai can be quickly installed in existing production lines based on the applicability of different industries, allowing many manufacturers who are unable to significantly update or change the design of existing production lines to more quickly make key processes smarter, helping them successfully transform data into revenue After research and development is completed, it can be launched in the production line in as fast as 2 weeks Applicable raw materials include metal foil, textile, leather, and mirrorglass It can be applied to a wide range of industries, including textiles, metal processed products, automotive electronic components, semiconductorsprecision products, plastic rubber injection products, and cosmetic products Kapito's customers are mainly electronic products manufacturers Feng-You Sun, founder and CEO of Kapito nbsp

Taiwan's "mask prevention" strategy in response to COVID-19 has been effective, resulting in the worldrsquos lowest rate of confirmed cases and lowest mortality rates Yallvend Tech built the first mask vending machine with an interactive screen in Taiwan It is equipped with mobile payment, returns transaction data, and manages inventory data It is an embodiment of Taiwan's "epidemic prevention technology" Yallvend Tech's core service was originally to provide vending machine manufacturers with networking equipment, platform construction, and other vending machine upgrade services The Central Epidemic Command Center began implementing name-based mask sales on February 6, 2020 to prevent the spread of COVID-19 In February, Yallvend Tech displayed its mask vending machine technology at Ningxia Night Market in Taipei City It combines facial recognition and blockchain traceability technology in the first smart mask vending machine, which provided 2,000 non-medical masks for free in just one week, benefiting a total of 1,000 people Smart name-based mask vending machine in 6 district health centers in Taipei City, completing transactions online In order to alleviate the queues at pharmacies, a tripartite meeting between the Ministry of Science and Technology, Taipei City Government, and Yallvend Tech reached the decision to place vending machines in the health centers of 6 districts, namely Xinyi District, Wenshan District, Wanhua District, Zhongshan District, Datong District, and Neihu District, one vending machine each Citizens only need to insert their national health insurance card to verify their identity, and then use mobile payment, including Easy Card, Line Pay, Google Pay, or JKOPay, to complete the payment In addition to using mobile payment, Yallvend Tech has also installed simple POS machines in six other health centers, where citizens can quickly swipe their card, make payment, and collect masks at the mask counter Each health center distributes 200 masks every day for the public to purchase The mask vending machine makes it simple and convenient to purchase masks, easily preventing the spread of COVID-19 This time, Yallvend Tech cooperated with Taipei City Government and the Central Epidemic Command Center, successfully gained the support of the Ministry of Health and Welfare's open data database, and paired it with the AIoT human-machine interactive display interface from a well-known e-sports display technology company, so that people no longer need to wait in line and instead use their national health insurance card and online payment to buy masks directly at the vending machine However, this activity will come to an end in July after the epidemic subsides, and the National Health Insurance Administration's open data API may be terminated by then Interfacing with the largest and most important health insurance system in the country is a dream project for many engineers Yallvend Tech completed the connection, testing, and launch in just 12 hours, laying the foundation for the subsequent name-based mask system 30 This was a major technological breakthrough by Yallvend Tech Founded in January 2019, Yallvend Tech has been deeply involved in vending machine upgrade services The vending machines we generally see all sell drinks Yallvend Tech provides the technology that has upgraded vending machines to sell tobacco and alcohol overseas and masks in Taiwan Yallvend Tech has identified the needs of the Southeast Asian market and actively invested in the development of core technologies, such as physical identity digitization, online payment, and consumer feature identification mechanisms It not only attracted attention from major manufacturers such as Coca-Cola at the US Consumer Electronics Show CES in 2019, but also opened up the international market Yallvend Tech Team showcases technologies at the CES Duncan Huang, CEO of Yallvend Tech, pointed out that different countries have different regulations and vending machines are selling a wider variety of products, not only general consumer products such as beverages, but also controlled products such as cigarettes, alcohol, and even adult toys Each product is sold must comply with local regulations, including consumer identity verification This is the key to whether traditional vending machines can be painlessly upgraded into unmanned stores For example, alcohol accounts for the highest percentage in the beverage market, but due to the regulations of each country and its physical effect on consumers, many countries will restrict the age for purchasing alcohol, and the same goes for cigarettes By digitizing identity, smart vending machines will be able to verify the buyer's identity, and buyers who do not meet age requirements will be automatically filtered out Buyers who meet the requirement can freely purchase tobacco, alcohol, and other products on the vending machines At present, Yallvend Tech has exported vending machine upgrade solutions that combine identity verification, mobile payment, return transaction data, and inventory data management systems to the Philippines, Singapore, Malaysia, Japan, and IndonesiaYallvend Tech's product VUK is installed in vending machines on Kokusai Dori in Okinawa, Japan Two major food and beverage leaders adopt smart vending machine systems In Taiwan, Yallvend Tech's smart vending machine system was installed in 700 vending machines nationwide by the two leading domestic food and beverage companies Currently, the vending machines of these two major manufacturers are available in 30 of places close to consumers in factories, offices, and campuses, and real-time promotions will be launched for these vending machines in the future In another aspect, Yallvend Tech is also actively developing AI replenishment planning solutions for major beverage companies, hoping to use vending machine data to assist replenishment personnel with replenishing items, route planning, and more efficiently understanding inventory The company expects to launch related services in about a year