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【2021 Solutions】 To prevent the blockage of traditional markets or amusement parks from becoming a breach of the epidemic, Taiwan’s Data Science “Signal Cloud” antenna has made a remarkable contribution

The COVID-19 epidemic is raging, and local governments are actively preventing the spread of the epidemic. The Yunlin County Government uses the "People Flow Analysis Antenna" in the "Signal Cloud" to detect device signals, and uses AI algorithm models to estimate Actual flow of people to prevent blocking traditional markets and busy business districts from becoming a breach of the epidemic; the Taipei City Government has deployed antennas in Songshan Cultural and Creative Park, Municipal Zoo, Municipal Art Museum, Maokong Cable Car and Taipei Underground Street, and cooperated with Taipei Smart City The project office worked together, and the man behind the establishment of these systems was Taiwan Data Science Corporation.

Use the

▲Use the "People Flow Analysis Antenna" in "Signal Cloud" to detect market clustering conditions.

"From the first day the company was founded, I have been thinking about how the technology I learned can contribute to mankind, even a little bit!" Dr. Zhuo Yingqiang, CEO of Taiwan Data Science Company, gave up the stable national University faculty work, relying on enthusiasm for science and technology and hope for the future innovation era, with the original intention of making the world a better place, and joining the ranks of entrepreneurship. This century-old epidemic has changed the daily pattern of the world, and also allowed Zhuo Yingqiang to find the focus and contribution of scientific and technological epidemic prevention.

People flow information flow analysis antenna to master signal detection big data

The "People Flow Information Flow Analysis Antenna" developed by Taiwan Data Science Company was designed with the motivation of smart retail. Its equipment principle is to use antennas to detect devices carrying Wi-Fi and Bluetooth signals in the field, such as: Mobile phones, tablets, laptops, iWatch, Bluetooth headsets, etc. The "People Flow Information Flow Analysis Antenna" can clearly identify data such as people flow, walking lines and habits in the area, analyze the flow of people at each time, and help stores or vending machines grasp people flow statistics, analyze hot areas, and use big data at the same time Coupled with the marketing data reports generated by AI, stores can more accurately control the flow of people, which is of great help in terms of pre-prepared quantities and accurate sales estimates.

The development areas of Taiwan Data Science Company are locked in smart retail, transportation, security and financial industries, and are developing towards the fields of smart Internet of Things (AIoT) and information security. "Taiwan Information Technology has the patent for signal antennas, but making antennas and collecting data is only one of them. Producing valuable data analysis reports is more important. This is what buyers care about." Zhuo Yingqiang pointed out that there are major Netcom manufacturers who are optimistic about it. Taiwan Information Technology’s technology originally wanted to purchase related patents and invest in this market. But in fact, it is not difficult to deploy antennas. What is difficult is that after the data is collected, a strong AI team must be behind the cloud to do analysis. The major Netcom manufacturer finally proposed a strategic alliance with Taiwan Information Technology. The major Netcom manufacturer will produce the hardware device of the signal antenna, which can significantly reduce the cost by about 60%. Taiwan Information Technology will be responsible for producing data analysis reports, and the AIoT software and hardware integration of the cooperation between the two parties will be reduced by about 60%. The solution is to attack overseas markets together.

▲ "Signal Cloud" is not only used to calculate people flow, but can also be used in the fields of security and information security.

"Signal Cloud" is not only used to calculate people flow, but can also span into the fields of security and information security. Zhuo Yingqiang pointed out that in the security industry, surveillance systems generally use video cameras. If Xiaoxiao avoids the camera, it may not be detected. However, if the antenna is deployed in a corner of the house, as long as the signal antenna detects abnormal Wi-Fi or Bluetooth signals, it will immediately send a warning to the security company to take further preventive measures.

The signal antenna system proactively reports to reduce the risk of bank personal information leakage

In the field of information security in the financial industry, cases of bank personal information leakage resulting in deposit theft are common. Why do similar cases occur? Mainly for fraud groups or unscrupulous elements to use wireless network IDs that are the same as those of banks to provide free Internet services in or near the bank lobby, so that customers can undoubtedly connect to them and conduct online transactions. At this time, criminal groups collect customer account numbers, etc. Personal data, a major information security incident that caused a large amount of customer information to be leaked. In Taiwan Information Technology's solution, as long as a signal antenna is installed in the bank's business hall, if the antenna receives an abnormal account or device, it will proactively notify the bank's monitoring center, immediately take action to block the firewall, and blacklist the signal. , we can prevent the occurrence of data leakage.

▲ Taiwan Information Technology participated in the "President Cup Hackathon Competition" and advanced to the top 20 national finals. President Tsai Ing-wen (in the picture) specially communicated with the team.

In fact, this signal antenna, which Dr. Zhuo calls an "information flow antenna", can not only be placed in financial holding and bank business premises, but can also be deployed in military sites such as camps and national defense units as access control, Information security and security functions. After the COVID-19 epidemic, during the level 3 alert period, because she did not want her employees to be involved in the risk of contracting the epidemic, Zhuo Yingqiang could not bear to send her colleagues to carry out construction work even if the hospital had a demand for abortion monitoring. However, the sharp drop in revenue also made Zhuo Ying Gun realized that the market cannot be limited to Taiwan, so he actively looked for strategic partners to export the "Signal Cloud Antenna" solution overseas.

Taiwan Information Technology's overseas development strategy is to follow the footsteps of Taiwan's major Netcom manufacturers. After the service is implemented, it will be handed over to SI operators in local countries to perform installation and subsequent after-sales maintenance work. As mobile devices become smaller and lighter, Taiwan Information Technology predicts that within three years, the signal antenna will be "chip-based". It can not only be directly embedded in POS machines, but can also be placed in consumer electronic equipment and shipped together. These are the future development directions. Taiwan Data Science Company has been established for almost four years this year. In the past, it has been engaged in the field of data processing, from cashless big data for mobile payments to wireless signal big data for people flow analysis. As an AI start-up company, the number of colleagues is slowly approaching the 200-person mark, which is rare in Taiwan's start-up world.

Taiwan Information Technology's motto is "From SI to AI, from physical to wireless!" Taiwan Information Technology's antenna people flow detection technology leads the market for about 12-18 months, but Dr. Zhuo believes that we must continue to expand our lead. Advantages must be achieved through patent layout and world-class channels. As a former university professor, he is leading the company's team to patent "judging different field characteristics through various signals" and using his past expertise in the field of cashless payments to write some cross-field compound patents to "cashless payment". " and "wireless" are integrated together to create thresholds that are more difficult for newcomers to catch up with.

The Ministry of Economic Affairs assisted Taiwan Information Technology Co., Ltd. to shoot a promotional video for the "Signal Cloud Antenna" free of charge, and provided free guidance on entering the Japanese and American markets. All colleagues at Taiwan Information Technology Technology Co., Ltd. are very grateful for this matter. The Taiwan Information Technology Department has recently been obliged to work hard to contribute to the country's scientific and technological epidemic prevention. It is currently handling the access control system project of the Ministry of National Defense, the technology monitoring project of the Ministry of Justice, and the relief data processing project of the Ministry of Health and Welfare. For Zhuo Yingqiang, these things are able to use business wisdom and technology to make a small contribution to the small imperfections of human life, and this is also his greatest achievement and motivation since starting his business.

▲ Dr. Zhuo Yingqiang of Taiwan Science and Technology Corporation, as the Secretary-General of the Asia Internet of Things Alliance, participated in the press conference of the Asia Silicon Valley Internet Industry Alliance of the National Development Council.

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

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

With the rise of smart manufacturing, there is a demand for industrial safety inspections in high-risk industries such as chemical, energy, and electrical industries Take pipeline inspection in the chemical industry as an example It relies heavily on manual regular inspection and monitoring, and lacks intelligent monitoring by a professional AI team This is not only time-consuming and labor-intensive, but may also cause accidental risks to employees in various industrial safety environments The image analysis AI platform developed by Xinyun Linke not only improves employee personal safety and reduces risk factors, but also significantly reduces the time for human visual inspection of pipeline abnormalities from an average of 100 minutes to 3 seconds Paul Shieh, founder and chairman of Linker Vision Co, Ltd Linker Vision, said, "The overall technological development and progress in the United States comes from entrepreneurship Linker Vision's original intention to start a business in Taiwan has been I hope that through my past experience in entrepreneurship in the United States, I can introduce the American entrepreneurial spirit and culture to Taiwan's budding entrepreneurial fertile ground and truly implement it "American entrepreneurial culture encourages employees to value ownership and emphasizes that employees regard themselves as owners of the company Be a part of the company, with a work attitude and spirit that would be better than mine The company's achievements are your own achievements, breaking the original employer-employee relationship The company will reward outstanding employees with stocks, share the glory together, and establish a partnership with employees Partnership On the other hand, Taiwan still has room for efforts in entrepreneurial culture and management, and it retains the traditional thinking of employers and employees It is expected that Xinyun Linke's establishment of American entrepreneurial culture and values in Taiwan will serve as 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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】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】2秒鐘完成結帳動作 Viscovery AI影像辨識助攻智慧零售
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