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【2020 Solutions】 Anomaly Detection Solves the Problem of Insufficient Defect Images

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.

Anomaly Detection System

 

Anomaly Detection System-2

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

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【解決方案】7毫秒內分離人聲 洞見未來科技協助聽損者「聽說更簡單」
Voice Separation in 7 Milliseconds: RelaJet's Future Technology Makes 'Hearing and Speaking Easier' for the Hearing Impaired

One rainy Thursday afternoon near Taipei Arena, the Taipei Experience Center of RelaJet was fully booked with appointments from people with hearing loss eager to try hearing aids made with a voice separation engine For the hearing impaired, having affordable, lightweight, and effective noise-reducing hearing aids is truly a blessing 'We hope to help users in need to hear the world's wonders again' This empathetic expectation by RelaJet's founder and CEO Po-Ju Chen, who is also hearing impaired, illustrates his understanding of the needs of the hearing impaired He hopes that RelaJet's unique voice amplification hearing aid technology will benefit many more people Affordable hearing aids benefit many with hearing loss Founded in 2018 by Po-Ju Chen and his brother Yu-Ren Chen, RelaJet developed a multi-voice separation engine paired with Qualcomm's Bluetooth audio platform, drastically reducing the price of imported hearing aids, typically costing 80,000-100,000 NT dollars, to just under 10,000 NT dollars They aim to develop affordable goods with excellent noise-cancelling capabilities that wirelessly connect to smartphones In its first two years, the company primarily developed the multi-voice separation engine, which significantly improved the noise reduction quality Once equipped with Qualcomm Bluetooth earphone chips, the audio processing time is drastically short, at about 7 milliseconds to enhance main voice projection and reduce ambient noise, less than half the time required by traditional medical standard of 16 milliseconds for hearing aids, nearly 'zero-delay' 洞見未來科技推出平價助輔聽器,大大嘉惠聽損者 Yu-Ren Chen explains that the primary use of Qualcomm chips for edge computing, along with a streamlined algorithm, achieves extremely low latency and better noise reduction The hearing aids can cover 18 channels, whereas traditional hearing aids cover 4-48 channels In the future, RelaJet will progressively increase the number of channels According to statistics, there are 470 million people globally with hearing disabilities, with a 30 average device use rate in developed countries, with the highest in Western countries Taiwan has nearly 15 million people with disabling hearing loss, of which the middle-aged and elderly make up 30, yet the device use rate is only about 10, which is quite low Yu-Ren Chen further analyzes that the low device usage rate is due to two reasons firstly, the high average selling price of international big brands ranges from 80,000 to 200,000 NT dollars with a three-year usability period, which deters many due to the high cost and maintenance Secondly, in noisy environments, the noise is also amplified which does not necessarily ensure clarity for the users, and the sound parameters can't be adjusted in real-time, making it inconvenient to frequently visit stores for tuning Thirdly, most models cannot connect to smartphones, making it inconvenient for the hearing impaired to take phone calls Utilizing Qualcomm Bluetooth chips for rapid product development In light of this, Po-Ju Chen, formerly a semiconductor engineer at MediaTek, leads the technical development, while Yu-Ren Chen, with a legal background, manages the operations Their seamless collaboration, along with their team employing AI algorithms and chip integration, learns from thousands of hours of audio files in databases through neural networks and deep learning technologies to develop low-latency, high-noise-reduction voice amplification technologies for hearing aids In 2019, this sound processing technology was integrated into Qualcomm Bluetooth chips, winning first place in the Qualcomm Taiwan Startup Competition and becoming a partner in Qualcomm's Global Expansion Program, significantly boosting product development pace In 2021, they launched their own Otoadd series of hearingenhancement products in Taiwan, which received both market favor and positive reviews from many with hearing loss Based on different consumer needs, various product 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anticipated to be exported to international markets in the latter half of this year Additionally, a hearing aid product combining Bluetooth functionality, set to launch in June this year, is sized like typical Bluetooth earphones, targeting visually conscious consumers with hearing loss Its small size and attractive wireless earphone design allow for phone calls, and if approved by the Ministry of Health and Welfare, eligible users can apply for government subsidies RelaJet to expand into overseas markets, using the USA as a beachhead An interesting question arises due to the pandemic everyone must wear masks which impedes lip-reading How does this affect those with hearing loss Yu-Ren Chen indicates that this situation highlights RelaJet's advantages As each person with hearing loss has different levels of hearing ability, hearing aids can only augment to an appropriate volume, assisting users to hear about 60-70 content, with the remainder relying on lip reading and gestures During the pandemic, as everyone wears masks, masks also muffle sounds, but RelaJet's voice separation engine can correct and strengthen the separation, making it easier for those with hearing loss to recognize voices Besides the Taiwan market, RelaJet's next stage will be expanding into overseas markets, expecting to obtain ISO 13485 medical device quality management system certification and US medical device approval in 2022 They plan to enter the US market, either under their own brand or through OEM arrangements Apart from the Taiwan market, RelaJet will also enter the US market in the next phase for hearing aids「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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

With the rise of smart manufacturing, there is a demand for industrial safety inspections in high-risk industries such as chemical, energy, and electrical industries Take pipeline inspection in the chemical industry as an example It relies heavily on manual regular inspection and monitoring, and lacks intelligent monitoring by a professional AI team This is not only time-consuming and labor-intensive, but may also cause accidental risks to employees in various industrial safety environments The image analysis AI platform developed by Xinyun Linke not only improves employee personal safety and reduces risk factors, but also significantly reduces the time for human visual inspection of pipeline abnormalities from an average of 100 minutes to 3 seconds Paul Shieh, founder and chairman of Linker Vision Co, Ltd Linker Vision, said, "The overall technological development and progress in the United States comes from entrepreneurship Linker Vision's original intention to start a business in Taiwan has been I hope that through my past experience in entrepreneurship in the United States, I can introduce the American entrepreneurial spirit and culture to Taiwan's budding entrepreneurial fertile ground and truly implement it "American entrepreneurial culture encourages employees to value ownership and emphasizes that employees regard themselves as owners of the company Be a part of the company, with a work attitude and spirit that would be better than mine The company's achievements are your own achievements, breaking the original employer-employee relationship The company will reward outstanding employees with stocks, share the glory together, and establish a partnership with employees Partnership On the other hand, Taiwan still has room for efforts in entrepreneurial culture and management, and it retains the traditional thinking of employers and employees It is expected that Xinyun Linke's establishment of American entrepreneurial culture and values in Taiwan will serve as 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which is time-consuming and labor-intensive However, in order to cater to the AI industry, the owner reorganized the IT department originally engaged in database management and control into an AI team However, due to the owner's lack of professional experience in AI software technology, AI models and related domain know-how, the owner introduced AI implementation Industrial safety monitoring in the chemical industry is even more challenging The world's first AI automatic labeling technology surpasses manual labeling and can visually identify objects with an accuracy of over 95 In terms of AI technology power, Xinyunlinke has launched the world's first dual-core innovative technology of automatic labeling Auto-labeling and automatic machine learning to create an efficient and stable image analysis AI platform to provide customers with the best Advanced and complete AI solutions In terms of automatic annotation, this AI technology can overcome the most difficult challenge in deep 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technology of automated machine learning can help clients customize automatic AI model training or repeated training when the factory environment changes, providing more accurate AI models and allowing customers to operate autonomously Through the above-mentioned key features and advantages of the automated AI technology provided by Xinyunlinke, we believe that it can definitely meet the needs of customers for an automated end-to-end AI independent learning platform, and at the same time, it can significantly save customers the cost of AI team establishment In terms of technological competitiveness, in addition to providing the chemical industry with AI image analysis applications in smart industrial safety, Xie Yuanbao said that Xinyunlinke can also extend the process application of automatic annotation and automated machine learning to different industrial landing services, such as Various fields such as self-driving cars, smart warehousing self-propelled robots and self-driving buses in future smart cities are all in line with the spirit of automated mobility of Mobility as a Service We look forward to the role played by Xinyunlinke The process of image annotation in different industries accelerates the efficiency of developing image recognition services in different fields We believe that by providing client-to-end AI solutions and a complete set of automated AI image analysis pre-operation processes from Data Selection AI technology, Auto-Labeling AI technology, and automated machine learning AI technology, we can greatly satisfy our customers The demand for AI autonomous learning platform Image analysis AI platform sets a new record for smart industrial safety inspections from 100 minutes to 3 seconds Seeing the high demand for industrial safety supervision in high-risk industries such as the chemical industry in recent years, Xinyunlinke launched the "Vision AI Platform", which uses AI image recognition technology Its main functions include real-time AI 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learning, data science, front-end and back-end and other professional team combinations to make the platform operate successfully Xie Yuanbao said that he believes that only through the automatic learning of the visual analysis AI platform, automatic fast and accurate data processing capabilities, and providing customers with complete AI solution services in the cloud, cloud ground Hybrid to pure ground, can we truly Convince customers and stand out from the competition Looking to the future, Xie Yuanbao hopes that Xinyunlin Technology can build an image analysis AI platform for Mobility as a Service to automatically learn in various fields such as self-driving cars, smart warehousing robots, and unmanned buses in smart cities At the same time, I am also grateful to the support of the Industrial Bureau of the Ministry of Economic Affairs for the smooth landing of Xinyunlin Technology in Taiwan and the opportunity to recruit talents from all walks of life to work together In the short-term layout, the company will actively cooperate with domestic players such as Hon Hai and TSMC to implement image analysis AI technology in fields such as self-driving cars, smart industrial safety, and smart warehousing robots In the medium to long term, Xinyunlinke will target the United States, Europe, Japan and other countries as its global market layout, establish investment and cooperation partnerships with major international companies such as Microsoft, and replicate its successful experience and promote it internationally Xinyunlinke official website Xie Yuanbao, founder and chairman of Xinyunlinke 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】破壞式創新商模 奇翼醫電推出行動醫療裝置- 心電圖傳感器 打造遠距醫療當中最後一塊拼圖
Disruptive innovative business model Qiyi Medical Electronics launches mobile medical device-ECG sensor to create the last piece of the puzzle in telemedicine

With the advent of the post-epidemic era, the development of global telemedicine is in the ascendant, which has greatly increased the demand for smart medical technology in decentralized medicine Among them, if mobile medical devices can provide real-world at home or outside the hospital data for use in hospitals, it is believed that it will reduce the burden of diagnosis and treatment on doctors or medical personnel and reduce health insurance expenses To this end, Singular Wings Medical has launched a comprehensive telemedicine solution, which combines excellent wearable mobile medical device design, innovative software development, AI algorithms and cloud platform services, and will become the last piece of telemedicine puzzle David Lee, the founder and general manager of Qiyi Medical Electronics, said that his original intention to start the business was because he witnessed Taiwan's long-term pursuit of low-cost mass production, which led to the continuous decline in the value of the industry For example, in the past thirty years, The output value of the former Silicon Valley was similar to that of Taiwan's Hsinchu Science Park, but thirty years later, the output value of Silicon Valley reached US14 trillion at the end of 2020, while the output value of Hsinchu Science Park was less than NT15 trillion at the end of 2021 Seeing Silicon Valley's sensitivity to industry needs and disruptive innovations such as Uber, Airbnb, industry trends and the post-epidemic era have driven a surge in telemedicine services, thereby creating high industry value, so I started a business at the age of 45 and conceived how to combine it with Taiwan After more than ten years of accumulated industrial advantages and Silicon Valley's innovative model, we decided to help Taiwan's industry upgrade and find a new path through the integration of the medical industry, ICT technology industry and innovative business models Seeing that Taiwan has always been a gathering place for the most elite talents in the medical industry and electronics and electrical industry, I believe that through the combination of the two and innovative business models, we can have the opportunity to follow Silicon Valley and create a different business According to Taiwan’s Communication Diagnosis and Treatment Methods, Taiwan’s market demand for telemedicine is divided into two situations emergency such as COVID-19 and special necessity such as special geographical locations such as outlying islands or mountains It is allowed Carry out communication medical diagnosis In fact, the development of global telemedicine decentralized medicine is in the ascendant, but the demand for smart medical technology to meet decentralized medicine still needs to be realized In addition to the medical technology gap, it also includes medical treatment flow, patient identification, remote Remote consultation and collection are fueling the push for smart medical technology Li Weizhong observed that for telemedicine decentralized medicine to be successfully implemented, it is best to use telemedicine devices that are used outside the hospital or at home and are easily available in daily life Among them, the data of the device is the key It can provide doctors with out-of-hospital real-world data Real World Data or Real World Evidence that they can trust and apply, so that they can improve their diagnosis and treatment methods In fact, this type of telemedicine device is not popular, making remote medical care difficult to complete In addition, as the number of wearable devices such as bracelets and watches increases, most of the data that these devices can truly provide is insufficient for medical purposes and is not easy to validate and verify Li Weizhong said that people are paying more and more attention to health awareness, which is a positive encouragement for telemedicine devices He believes that as long as there is an appropriate business model and the right way to cooperate with hospitals and doctors can reduce the burden on doctors or medical personnel and reduce health insurance expenditures, Qi Yi Medical Electronics will definitely have the opportunity to become the last piece of the puzzle in telemedicine Founded in 2015, Qiyi Medical Electronics’ core team consists of 22 diversified professionals, including young engineers with medical, engineering and information backgrounds and experienced entrepreneurs, working together to create an overall solution for remote healthcare The solution includes hardware design, software development and backend cloud platform services for the mobile medical device Beatinfor Health electrocardiogram sensor Electrocardiogram ECG is one of the most important vital signs body temperature, pulse, respiration and physiological data of the human body, which can reflect various physiological changes in the human body, such as cardiovascular health, inflammation, infection, bleeding, injury or anxiety index changes For this core concept, Qiyi Medical is committed to using wearable electrocardiograms as its core technology, while collecting important vital signs and environmental parameters such as electrocardiograms, and building AI algorithm systems and backend cloud platform services based on big data and machine learning to help solve remote problems Specific chronic diseases such as cardiovascular disease, sleep problems, and metabolic diseases are the most important in medical treatment Electrocardiogram sensor continuous physiological data monitoring reduces the risk of death in acute heart failure patients by 11 within 30 days after discharge In order to realize remote medical services, Qiyi Medical Electronics has launched a complete set of remote medical care solutions, including wearable mobile medical devices-electrocardiogram sensor BEATINFO ECG, BEATINFO HEALTH APP, and AI algorithms , web pages and BEATINFO HEALTH cloud service platform The BEATINFO ECG sensor is an exclusive device for the BEATINFO HEALTH APP health cloud platform It can be used continuously for 40 hours when fully charged The device is only 15g This sensor can collect the user's electrocardiogram, respiration, and skin temperature through a patch or chest strap , body movements, postures and environmental parameters Currently, BEATINFO ECG sensor has 8 patents in the United States and Taiwan, and won 2 German iF Design Awards in 2017 Mobile medical device-electrocardiogram sensor can provide continuous physiological data monitoring In terms of overall technical features, the BEATINFO HEALTH cloud service platform has four key physiological data detection characteristics continuity, long-range, real-time and dynamic In terms of operation, users can download the BEATINFO HEALTH APP on Android or iOS systems Its interface can provide physiological data status, order health assessment reports such as one-day sleep assessment report or cardiovascular health assessment report, and high-intensity exercise test Cardiovascular assessment reports, third-party remote medical consultation services and other functions Users use patch-type or chest-strap ECG sensors paired with end-to-cloud platforms for continuous physiological detection Before being transmitted to the cloud for further calculations, all data will be de-identified and made available to professionals Data reports are provided for physician judgment The BEATINFO HEALTH cloud service platform has powerful noise filtering processing capabilities, fast waveform recognition and judgment, as well as highly complex cloud architecture and communication technology Why is the noise filter processing capability so important Because medical equipment in general hospitals must require users to complete short-term measurements under static conditions Usually, data in life situations outside the hospital cannot be collected by the hospital, and this data is very important to doctors It is increasingly important to understand the progression of the disease and the condition of patients leaving the hospital Therefore, if we continue to record very weak ECG signals in daily life, we actually need to overcome a very high technical threshold After these signals are processed by the noise, they will first be judged by the AI algorithm before preliminary and rapid conclusions can be made Users can instantly avoid certain fatal risks The cloud architecture provides a deeper level of second-order computing and also covers the business model architecture It provides service models such as user management, automatic report generation, record keeping, alarm notifications, and connection with more services such as third-party alarms Emergency rescue, third-party medical consultation, doctor and patient docking, medical treatment cash flow and other functions In terms of competitive advantages in the industry, compared with the industry's braceletwatch products, Qiyi Medical's electrocardiogram sensor BEATINFO ECG provides accurate medical-level measurements, and can continuously record and collect physiological data, improving any Sudden or sporadic symptoms may occur Compared with the electrocardiogram patch of its peers, it provides real-time data return and web-based management tools, and can produce various reports for managers to remotely manage a large number of users on the web According to statistics from Beijing Medical University, the mortality rate of patients with acute heart failure within 30 days after discharge is as high as 11 If an electrocardiogram sensor is installed on the patient for continuous and real-time monitoring for 30 days, it is possible to reduce part of the risk of death, and at the same time, it can Significantly reduce health insurance costs Additionally, in the case of cardiovascular disease, if the user wears the device for a period of time, regular cardiovascular assessment reports can be obtained and provided for follow-up in-depth examinations by doctors In addition to the measurement of cardiovascular diseases, the ECG sensor configuration can provide home assessment of sleep apnea OSA During the measurement, patients can discover potential and easily overlooked cardiovascular diseases, and users do not need to stay in the sleep ward for treatment After a boring night, through the ECG sensor patch and AI algorithm, patients only need to sleep at home for one night to receive an OSA test report If needed, doctors can access patient status remotely and instantly via any internet browser Therefore, through the ECG sensor wearable service, users can discover hidden and unknown cardiovascular diseases such as arrhythmias related to sudden death from the measurement process to avoid unnecessary regrets Qiyi Medical Electronics’ business model is mainly B2B2C, hoping to assist individuals, hospitals, enterprises, care services and other units to create a win-win situation Li Weizhong analyzed that the business cooperation model is quite flexible, whether it is leasing or buying out wearable measurement devices, or providing annual report subscriptions to reduce the cost of purchasing devices for users, such as including 2-minute electrocardiogram, Flexible subscription package including 7-day cardiovascular health assessment, exercise cardiovascular health assessment, sleep health assessment report, etc Group cardiovascular monitoring system solution creates a many-to-many real-time physiological information monitoring platform to replace diagnosis with prevention In addition to providing individual users with remote mobile physiological data measurement, the BEATINFO cloud platform provides a "group cardiovascular monitoring system" solution that can create many-to-many real-time physiological information monitoring through network technology Based on the platform, patients only need to wear a lightweight monitoring patch, and the back-end system can grasp the changes in their physiological information, so that prevention can replace diagnosis and reduce the chance of sudden cardiovascular death This platform provides 3 functions, including the ability to manage different users into groups and hierarchically, and the number of users can reach tens of thousands it can display users’ basic physiological information in real time on web tools, and can be used under certain preset conditions When triggered, this platform will immediately send out an alarm historical data can also be reviewed on the platform, which is very suitable for doctors to check the patient's disease progression outside the hospital during consultation For the application of the "Group Cardiovascular Monitoring System" solution, taking high-intensity exercise as an example, such as long-distance running and cycling, mountain climbing activities or traveling abroad, a prior cardiovascular health assessment is required activities, and corresponding evaluation reports This report allows users to share it with doctors, so that participants can make assessments before the event or test their training effectiveness, which can significantly reduce the risk of accidents during the event beforehand During the activity, the group cardiovascular monitoring system also provides real-time on-site monitoring of a large number of participants It can be monitored in real time by the AI in the background at the moment of exercise Once an accident occurs, the platform can immediately issue an alarm and even report the accident GPS positioning of the location, and continuously transmits back the user's physiological information during search and rescue, striving for golden rescue time In sports monitoring applications, taking golf as an example, how to improve golfers' puttinghitting performance A player's performance and concentration are usually directly related to personal emotional stability Li Weizhong said that through HRV analysis of Qiyi Medical's electrocardiogram device, it can help determine the player's emotional and stress index performance, and at the same time help golf coaches select and train players The group cardiovascular monitoring system can create a many-to-many real-time physiological information monitoring platform Establish a firm foothold in Taiwan, move towards the US and European markets, and move towards the goal of a data company Faced with the challenges of technology research and development and market promotion, Qiyi Medical Electronics’ automatic identification of electrocardiograms requires a large amount of data for AI calculation development For this reason, Qiyi Medical Electronics must cooperate with hospitals and develop jointly Finish At present, the company has established good cooperative relations with many medical centers and research units, and has overcome these technical bottlenecks one by one In terms of market promotion, Li Weizhong said that the biggest challenge facing Qiyi Medical Electronics is to communicate with the market and let the public understand the differences between competitors' bracelet and watch products and the company's mobile device-electrocardiogram sensor Compared with the common bracelet and watch products on the market that collect electrocardiogram data in a discontinuous manner, it may take a long time to collect discontinuous data before potential cardiovascular problems can be discovered by luck Qiyi Medical Electronics actively promotes electrocardiogram to the public in a continuous manner The competitive functional characteristics of sexual detection data and emphasize that it is a very important means to assist in the detection of many potential diseases, replacing diagnosis with prevention and reducing the occurrence of unnecessary cardiovascular diseases In addition, in terms of business promotion, we also hope to create more opportunities for business matching and new venture capital raising with the assistance of the Corporate Resource Strategy Council Looking to the future, Li Wei and Xu Qiyi Medical Electric Energy will become the last piece of the telemedicine puzzle in the health wearable device-electrocardiogram service Li Weizhong said that in the short term, Qiyi Medical hopes to gain a firm foothold in Taiwan and become a common medical device in everyone's home, just like thermometers and blood pressure monitors The company is also constantly developing new indications Starting from electrocardiogram, coupled with AI and big data, it can deal with more chronic diseases In addition to cardiovascular diseases, we have also successively developed sleep apnea and other more special diseases The applications are aimed at the problems of elderly chronic diseases that modern people are very likely to encounter With a mid- to long-term plan, Qiyi Medical will enter the US and EU markets, become an international company, and continue to aim to become a data company, making good use of the company's long-term collection of data applications to provide services in diverse fields such as new drug development and vaccine development application to create business opportunities and profits 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」