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【2020 Solutions】 Driving AI with Chips, Fansi Data Multiplies Computing Power at Low Cost

A tiny chip capable of driving AI algorithm speeds by nearly a hundredfold, Fansi Data's team is dedicated to software and hardware integration, providing industries including finance, smart healthcare, and smart manufacturing with a cost-effective, high-efficiency way of introducing AI and rapidly undergoing digital transformation.

In recent years, artificial intelligence has been highly prominent; however, practical applications have been limited by high costs. The enhancement of 'computing power' is crucial for breaking through the bottlenecks in AI applications. Fansi Data's customized chip design and solutions can increase processing performance and effectively reduce costs, making AI applications in finance, healthcare, and manufacturing easy and feasible.

The company's core service is the high-performance hardware acceleration platform (FPGA)

Fansi Data was founded in October 2018 by a founding team from National Tsing Hua University, National Chiao Tung University, and National Taipei University. The company currently has 11 employees, including the chip design director Liu Wenkai from the IC design company Huirong Technology, who leads a 5-person IC design team. They spent over a year developing the high-performance hardware acceleration platform (FPGA), which became the company's core service.

Fansi Data integrates software and hardware to develop a high-performance hardware acceleration platform (FPGA)

▲Fansi Data integrates software and hardware to develop a high-performance hardware acceleration platform (FPGA)

'To bring AI to practical implementation, the challenges are cost and real processing situations. Purchasing a standard set of NIDIA GPUs is expensive. If we can adjust the hardware through customization, producing a setup tailored for use, the costs can be significantly reduced.' Said Liao Yanchin, General Manager of Fansi Data, who additionally pointed out that most AI startups currently only have software engineers and lack hardware engineers. Fansi Data excels in data handling and software/hardware integration, has an excellent team, and can efficiently solve data issues while developing software/hardware solutions tailored to customer needs.

Financial markets are notoriously fickle, as evidenced by the recent COVID-19 pandemic, which triggered a global stock market crash and was reinforced by program trading, leading to the unprecedented implementation of four trading halts in U.S. stock exchanges within a decade. This has significantly raised investors' risk awareness.

Zheng Zongyi, co-founder of Fansi Data, experienced in financial trading, points out that in financial markets such as stocks, futures, and warrants, 'speed' is often the key to victory. Typically, the traditional stock trading process involves financial trading data flowing from the network to the mainframe, processed through combination software, measured in milliseconds (ms, 10^-3 seconds), with an average transaction completed in 20 ms. System transaction processing speed, however, is at the nanosecond level (ns, 10^-9 seconds), and through the high-performance hardware acceleration platform (FPGA), each financial matching transaction can be completed in microseconds, a significant difference that can lead to billions in trading gains or losses, and is a major competitive edge for proprietary traders.

Financial services in the domain of securities firms' proprietary sections, new types of financial product trading departments, and high-frequency traders (or major retail traders). In the securities market, market volatility is the result of a tremendous amount of data. If the system operates at nanosecond speed, allowing you to see transaction information instantaneously, ahead by 0.1 seconds, you can make trading decisions before others even see the market data.

Service areas focus on financial technology and smart manufacturing

The risk control systems of bank credit cards can also utilize AI integration acceleration, similar to regulatory technology domains. Establishing an AI model can effectively identify risky credit card transactions and provide responses in a very short time, enhancing the security and smoothness of online transactions.

In the AI credit card risk control system, AI acceleration is also used through software integration. Transactions are prevalent, and fraud is common, similar to regulatory technology domains. By establishing an AI model, risky credit card transactions can be effectively identified, and responses given in a very short time, enhancing the security and smoothness of online transactions. This includes financial transactions and credit card risk identification, all through chip-based transaction data analysis and risk management system direct acceleration calculations.

Financial transaction information acceleration solution

▲Financial transaction information acceleration solution

Currently, many financial companies have their own IT departments, including data scientists, big data analysts, and AI algorithm engineers. What is Fansi Data's advantage in the financial sector? Zheng Zongyi points out that the IT departments in the financial industry are more 'users' of IT, not 'developers' of IT. Moreover, understanding IC design involves high costs, and the financial industry does not need to maintain their IC design team. The specialization is very clear, as Fansi simply develops models for the financial industry to adopt.

Considering personal privacy and data security, financial data is sensitive and often not easily accessible. Fansi Data, by joining the financial technology innovation park (FinTechSpace) and with the assistance of the Institute for Information Industry, applies for the real-time transaction data and corporate annual financial statements, historical trading data provided by the digital sandbox, using it to group data, analyze, model, backtest, and propose AI risk warnings and other solutions for abnormal transactions and risk management.

Besides financial technology, Fansi Data also focuses on AI applications in smart manufacturing, such as developing smart image meter reading through image recognition methods, which can help businesses reduce equipment replacement costs and achieve higher accuracy.

In the process of customized chip design, data analysis, and software/hardware integration, Fansi Data encounters difficulties in data and talent acquisition. At this stage, through interfacing with the digital sandbox and utilizing resources provided by the financial technology innovation park, AI models are built; regarding talent, a lean core team is established, continuously accumulating experience and building a robust entrepreneurial culture to face the ever-growing market demands.

From left to right: Co-founder Zheng Zongyi, General Manager Liao Yanchin, and Chip Design Director Liu Wenkai

▲From left to right: Co-founder Zheng Zongyi, General Manager Liao Yanchin, and Chip Design Director Liu Wenkai

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

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【解決方案】日康科技運用AI人臉辨識偵測生理數據 知人知面也知心 自我健康不漏接
Zcon Telehealth uses AI facial recognition to detect physiological data so that people can know everything about their own health

On a weekend morning, Grandma Li, who lives in Taipei, was happily having a video call with her little granddaughter in Tainan through the screen of an AI health management robot Then at 900 am, the foreign domestic helper's mobile app displayed a health management reminder sent by the robot, notifying that Grandma Li needed her daily physiological data measurement Grandma Li faces the camera on the robotrsquos screen, and the screen displays Grandma Li's blood pressure, blood oxygen, heart rate, heart rate variability, and stress index The robot detected that grandma's blood pressure was a little high, and a picture of blood pressure medicines immediately popped up on the screen to help the foreign domestic helper quickly find the medicines, making Grandma Li feel more at ease when taking medicine This AI telehealth care application is not futuristic, but rather the AI-enhanced comprehensive telehealth care solution of Zcon Telehealth, which has been established for 10 years, providing thoughtful companionship for the elderly through AI It can be used for non-contact physiological data measurement in the post-pandemic era, significantly cutting the labor cost of care in half Bobby Pan, the founder and president of Zcon Telehealth, which has accumulated abundant technical capabilities in the telecommunications and banking industries over 20 years, observed that the demand for telehealth care is an inevitable business opportunity, and decided to establish Zcon Telehealth in 2013 He worked hard with the core AI technology team to develop a comprehensive telehealth care solution Four years ago, he set the goal to develop an AI-based telehealth care platform, and returned to school to study in a doctoral program, focusing on the research of contactless detection of physiological data using AI facial recognition technology He successfully obtained an invention patent 2 years later Zcon Telehealth is the third company in the world after an Israeli company and Taiwan's National Chiao Tung University to provide technological and service innovations for AI facial recognition to detect physiological data, and successfully incorporated it into the company's telehealth care management platform As Taiwan becomes an aging society, demand on elderly care will increase and become more diverse In addition, the increase in demand on physiological data measurement due to COVID-19, coupled with the shortage of manpower in care institutions, has highlighted the importance of telehealth care solutions The market demand for telehealth care can be divided into three main service targets home, social residence, and institutions Telehealth care can provide real-time physiological data detection, and the data can be uploaded to the cloud for storage, effectively solving the problem of insufficient caretaking manpower Seeing that the demand for telehealth care is irreversible at home and in care institutions, Bobbdy Pan observed that telehealth care should have five major elements, namely precision care, precision medicine, precision diet, precision health supplement, and AI companion robot He looks forward to the five major elements effectively connecting Zcon Telehealth's healthcare products, and providing more considerate telehealth care services for senior citizens or institutions To this end, Zcon Telehealth uses AI technology to strengthen comprehensive telehealth care solutions The company's products are integrated into four major areas, including telehealth care management platform, tele-psychological consultation platform, AI health management robot, and physiological data detection technology using AI facial recognition AI facial recognition technology contactless physiological measurement obtains data within 30 seconds, saving 12 of the labor cost of care The telehealth care management platform is an important core care platform of Zcon Telehealth It effectively integrates the exclusive measuring equipment provided by the company to daycare center, such as blood pressure monitors, forehead thermometers, and i-GlucoPal - needle-free blood glucose detection By downloading the smart care app of Zcon Telehealth, it can help long-term care institutions collect physiological data records of the elderly, and store the data in the cloud via Bluetooth transmission, allowing institutions to quickly obtain health data reports of the elderly Elderly people can also download the app, and use their own account and password to accurately measure and record their personal physiological data At the same time, family members can also use the account and password of their elders in institutions to keep an eye on the elder's health status and past measurement records The company is currently cooperating with 8 daycare centers affiliated to the Taiwan Rehabilitation Technological Association through the telehealth care management platform, which can significantly save 12 of the care labor cost, and has successfully provided 2,000 elderly people with general home care Regarding the tele-psychological counseling platform, Bobby Pan said that the company began to promote it in 2018, but online psychological counseling was not popular at that time Counseling centers only needed to use LINE or video platforms to provide services It was not until the COVID-19 pandemic in the past two years that caused people to go out less, which caused psychological counseling centers to lose a large number of customers Therefore, tele-psychological counseling platforms have become an important service channel for counseling centers to develop their customer base The tele-psychological counseling platform is provided to counseling centers in the form of an app Its functions include Google Meet video, online appointment, cash flow from payments, case management, account management, and emergency notification Counseling centers obtain a private account through Zcon Telehealth, and will be able to independently monitor the database management status of the counseling center, such as psychologist schedule management Zcon Telehealth thoughtfully provides the UberPsycho app service to clients After downloading the app, customers can locate and instantly match with the nearest counseling center and matching location to complete the search for a counseling center Customers can subsequently make an online video call or go to the counseling center to meet their counseling needs, breaking the limitations of space and meeting customers' needs for real-time consultation or spiritual companionship when they are emotional, truly achieving "Anywhere, Anytime, On-Demand Service" The product is an online psychological counseling platform that has been reviewed and approved by the Health Bureau and is compliant with regulations Counseling centers only need to apply online to start online counseling services, and do not need to worry about system setup At present, the tele-psychological counseling platform has successfully cooperated with 18 counseling offices in Taiwan Recognizing that AI companionship and housekeeping are important trends in telehealth care, Zcon Telehealth launched Taiwan's original AI health management robot, integrating hardware manufacturers with health management software services provided by Zcon Telehealth The service functions of the AI health management robot include the physiological measurement of Zcon Telehealth's Smart Care app combined with its own measuring equipment blood pressure meter, forehead thermometer, blood glucose meter, cloud storage of physiological measurement data and abnormal data notification, remote video monitoring, caregiver work reminders, medication reminders, and physiological data functions based on AI facial recognition The AI health management robot is mainly targeted at families with foreign caregivers Employers can set work item and time reminders on the Zcon Telehealth Smart Care app, such as accompanying elders for a walk, elders taking medicine, or taking photos while the elders are in bed The robot's screen or voice playback reminds foreign caregivers of work items when caring for the elderly When the foreign caregivers finish their work, they must tap the complete button on the robot's screen to indicate that the task was completed The AI health management robot can help employers effectively remotely track whether foreign caregivers have completed daily elder care tasks as scheduled In addition, employers can have video conversations with their elders through the app and the screen of the AI health management robot The screen can also display pictures of medicine to reduce the risk of elderly people taking the wrong medicine Bobby Pan said that "zero contact" has become an important hygiene behavior in the post-pandemic era Combined with telehealth care, Zcon Telehealth has launched AI facial recognition technology to detect physiological data, which is different from typical wearable devices in the market, such as smart watches or bracelets that use photoplethysmography PPG for contact-based physiological detection Zcon Telehealth uses remote photoplethysmography RPPG for facial detection This method extracts signals from the tiny periodic color changes in light reflected from the skin caused by heartbeat RPPG can be roughly described as a modified version of reflective PPG, in which ambient light replaces LED and a camera lens replaces the photoelectric detector Physiological data detection technology based on AI facial recognition uses contactless measurement to detect changes in facial blood flow through images This technology can simultaneously integrate measurement of blood pressure, blood oxygen, heart rate, heart rate variability HRV, and stress index Users only need to face a regular webcam or mobile phone lens for 5 seconds, and reference data of the five physiological indicators can be detected and displayed within 30 seconds The data can be viewed in Android, iOS, or web version This product can achieve convenient self-health management and measurement functions for those who frequently travel abroad, workers such as security guards, service providers such as taxi drivers, or migrant workers, replacing the inconvenience of carrying various physiological measurement equipment in the past Zcon Telehealth is the third company in the world to provide physiological data detection technology based on AI facial recognition The company has successfully applied for an invention patent due to the innovation of this technology and services AI facial recognition health management has successfully cooperated with the health management center of a hospital in Kaohsiung, and provides the center's members who download the app with self-health measurement services In addition to health examination centers, the AI facial recognition health management service also cooperates with domestic TV manufacturers to develop customized Android TV apps and integrate them into Internet-connected TVs to provide health measurement detection services Physiological data detection technology based on AI facial recognition can quickly measure and provide physiological data - Demonstration by Bobby Pan, founder and president of Zcon Telehealth Psychological consultation AI brainwave detection equipment to understand customers' mental health status in advance In terms of tele-psychological counseling platform services, Zcon Telehealth not only assisted counseling centers with developing new remote customer service channels during the pandemic, but also uses the UberPsycho app to quickly help customers match with psychological counseling centers that suit them It has also successfully provided value-added services that combine psychological counseling at counseling centers with AI brainwave equipment for brain health assessment through clinical verification It also obtained brain assessment and test reports, and then guided customers to appropriate psychologists for counseling "More than 23 million people in Taiwan receive psychological counseling services every year, and about 110 of them, or more than 230,000 people, need further psychiatric treatment" In addition, the psychologists have different clinical experience and judgment Bobby Pan pointed out that if psychological counseling can be combined with AI brainwave equipment for brain health assessment, and it can provide customers with the early prevention mechanisms of "mental health examination" and "psychological counseling" He believes that the company can quickly grasp the customer's mental state and prevent them from doing something they will regret With the support of the AI HUB project of the Industrial Development Bureau, Ministry of Economic Affairs, Zcon Telehealth cooperated with 5 counseling centers in field verification, providing the counseling centers with AI brain health assessment equipment The customer test report includes simple mental assessment, heart rhythm assessment, autonomic nervous system assessment, behavioral response assessment, brain health assessment, neurological response assessment, and brain emotion assessment In terms of breakthroughs in AI technology, Zcon Telehealth connects devices through a brain-computer interface for brain health assessment indicators, transmits physiological data, and uses a long-short-term memory model and convolutional neural network to analyze neural indicators It automatically generates a cognitive function assessment report through cloud services as the quantitative result of mental health examination This value-added service of the verified mental health examination solution has been actively expanded to all counseling centers in Taiwan through cooperating counseling centers In the future, the company will continue to cooperate with medical institutions and health examination centers to expand its business Psychological consultation AI brainwave detection equipment to determine mental health status in advance In terms of business model, physiological data detection technology based on AI facial recognition uses a non-binding payment mechanism Individuals or companies will receive AI blood oxygen detection cards provided by Zcon Telehealth, and scan the QRCode on the card using their mobile phones for unlimited self-health measurements within one month They only need to pay NT300 per month, which is quite affordable In addition, the fee for the telehealth care management platform is also very affordable at only NT100 for each account For the tele-psychological counseling platform, Zcon Telehealth signs annual contracts and bills customers on monthly basis The AI health management robot is provided for customers to buy out Looking towards the international market while based in Taiwan, developing diverse telehealth services From the perspective of Zcon Telehealth, how to successfully develop products, market them, and expand business opportunities has been a challenge since the company was founded Among them, the company's development of physiological data detection technology based on AI facial recognition was the most challenging Bobby Pan said that since there is no precedent in the industry, the only way was to go back to school to study Fortunately, he was admitted in a doctoral program two years ago and read countless foreign journals, which he then integrated into product design and development It took 2 years of hard work to achieve this result Zcon Telehealth is not only passionate about the development of AI-enhanced telehealth care services, but also believes that AI-based contactless physiological health measurement and data can provide people and care institutions with a more affordable, convenient, fast, and considerate health measurement option in the post-pandemic era In terms of business strategy, Bobby Pan hopes that recent promotion of the physiological data detection technology based on AI facial recognition will continue to increase market share and create cooperation opportunities with channels To this end, the SDK Software Development Kit developed by Zcon Telehealth allows any application owner to embed it into their solution, and can use the SDK to directly detect physiological data on Android or iOS devices It is also applicable to mobile phones, tablets, smart TVs, or smart health mirrors In the future, Zcon Telehealth will primarily target large-scale health companies for cooperation, and looks forward to finding more potential partners with the assistance of the Institute for Information Technology III In the past two years, Zcon Telehealth has actively expanded into the field of AI healthcare and maintained its leadership in AI facial recognition technology Facing the fiercely competitive AI healthcare industry, Bobby Pan said that Zcon Telehealth must plan ahead and will first provide physiological data detection technology based on AI facial recognition to charity and religious groups free of charge, in order to increase product visibility in the short-term In the mid-term, Zcon Telehealth will partner with large health companies, such as health examination centers, and utilize the big data collected through the cooperation to plan customized health products and services For long-term development, Zcon Telehealth plans to set up a branch in Texas, USA by the end of this year and establish local distribution channels It will actively expand business to emerging potential markets, such as Vietnam, the Middle East, and South America You can know what people look like but not what's going on inside Zcon Telehealth breaks through the traditional approach and uses AI facial recognition technology to detect multiple physiological data in 30 seconds, gaining insight into an individualrsquos current health condition, so that it can not only know what people look like, but also what's going on inside Bobby Pan said that it took years of hard work to complete the development of physiological data detection technology based on AI facial recognition Zcon Telehealth is looking towards international markets while it is based in Taiwan, and will develop diverse telehealth services Bobby Pan, founder and president of Zcon Telehealth

這是一張圖片。 This is a picture.
Understand customers better than they do themselves, business opportunities created by the pandemic doubles the performance of Spingence Technology

"After the COVID-19 pandemic, even though we could not expand business overseas, the pandemic increased demand for AI automated optical inspection AOI and drove another wave of rapid growth in performance," said Jesse Chen, Founder and President of Spingence Technology The company started early in AOI and accumulated a wealth of experience, resulting in performance in 2021 growing multiple times compared with the previous year Spingence Technology's AI technology has great potential, and its fundraising plan successfully attracted strategic investors, such as the leading industrial computer company Founded at the end of 2015, Spingence Technology started out as a developer of automation software to help customers lower the barrier to automation In just two years from 2017 to 2018, AI technology quickly took off At that time, Jesse Chen observed that product defect detection caused headaches for companies in the process of automating manufacturing The traditional method of manual visual inspection was time-consuming and laborious Moreover, human error easily occurred and AI deployment could not be customized, resulting in high investment costs for enterprises Seizing the AOI market, successful application of AI optical defect detection "The gap in AOI is defect detection Since defects cannot be clearly defined, conforming products were often labeled as non-conforming products to meet the customer demand of not releasing defective products As a result, the overkill rate is often very high, which not only increases the cost of the manufacturing plant, but also lead to a waste of resources" In addition, there is strong demand for process automation due to the shortage of labor in the production line, which created a rare business opportunity for Jesse Chen AI optical defect detection has become the focus of Spingence Technology's AI applications After accumulating nearly 8 years of experience in production line automation, Spingence Technology target customers in three major industries, namely passive components, connectors, and semiconductors, and established a huge database for the production line product defect data it collected Since Spingence Technology started early, it enjoys the advantages of a first mover and continues to optimize database data Its wealth of experience enables it to quickly determine customer needs and propose solutions Spingence Technology uses image recognition and deep learning technologies to develop AOI algorithms, and developed AI defect detection solutions with an accuracy greater than 99 In terms of specific benefits, the overkill rate in the semiconductor industry can be significantly reduced from an average of 5-8 to less than 3, and the overkill rate of passive components can also be reduced from 5 to 12, which can save customers nearly NT300 million in expenses This not only reduces the waste of human resources, but also makes Spingence Technology a good helper for customers' sustainable intelligent manufacturing The outbreak of COVID-19 at the end of 2019 has changed the way people live and work around the world During the pandemic, demand on automation in the manufacturing industry significantly increased due to the need to avoid frequent contact between people Spingence Technology has a good reputation in the industry, so business kept coming in and doubled the number of customers and revenue The secret to winning Follow the footsteps of customers and always think more than customers In addition to Taiwan, Spingence Technology has also extended its reach to markets such as China and Vietnam, where Taiwanese businessmen gather The team in China is expected to increase from 3-4 people to 10 people, and Vietnam also hopes to have a team of 5 people to provide closer services to customers "Spingence Technology always follows the footsteps of its customers We are wherever our customers are" Jesse Chen went on to say that although the pandemic has brought another wave of demand for AI automatic detection, due to the impact of border controls, it was hard to go on business trips Meanwhile, overseas markets on-site personnel to provide nearby services, including consultation and diagnosis, AI implementation, and calibration, all of which require dedicated personnel Spingence's automation software development platform integrates modularized visual inspection, motion control, IO control, and AI analysis functions Coupled with the AI training software "AINavi", one heat sink inspection machine can complete multiple inspections and continue to train the AI deep learning model, which will further lower the miss rate of the machine and improve its inspection quality The integration of AINavi and automation is already sufficient to meet most functional requirements of customers, and then a small number of customized services are provided for different industries and customer needs This allows the company to quickly provide solutions needed by different customers Popular among strategic investors, the company has attracted investments from industrial computer companies and venture capital Spingence Technology has made a mark in the field of AIAOI inspection in the manufacturing industry, and has gain the favor of strategic investors In 2019, a leading industrial computer company made a strategic investment in Spingence Technology and integrated the AINavi deep learning visual inspection tool with the company's complete hardware platform The cooperation between the two parties provides more complete service solutions to customers, creating an example of win-win through "big large company leading small start-up" In February 2022, Spingence Technology reported another good news in its fundraising and received an investment from venture capital, all of its original major shareholders also increased their investment, and nbspSpingence Technology successfully completed the Pre-A round of funding The company will continue to expand its business in the short term, and establish a foothold in China and Vietnam In the future, it plans to build expert systems for passive components, connectors, and semiconductor industries, deepening its domain knowledge and data analysis to create greater value for customers Spingence Technology prides itself as a management consulting company for the manufacturing industry, that is, it provides customers with the most appropriate and valuable consulting services through consulting services, diagnosis, introduction, system launch, personnel training, model optimization, and AI model management

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

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