The rapid advancement of artificial intelligence AI technology and the new coronavirus pneumonia Covid-19 epidemic have catalyzed the vigorous development of smart medical care Kaiyuan Intelligent Manufacturing Company, which is committed to the research and development of Open AI, focuses on the development of the smart medical market The company spent two years I visited doctors one by one over the course of a year, "struggled emotionally" with hundreds of doctors, and compiled a "Smart Medical Question Bank", which is like an AI martial arts guide in the medical field All medical and engineering-related questions can be found in this book answer Establishing a common language with doctors can help break into the development of the medical field According to the definition of the World Health Organization WHO, smart medicine is an extension of digital medicine It is the application of information and communication ICT technology in the medical and health fields Its scope includes medical health information, personal medicine, telemedicine and Care, mobile medicine, wearable devices, etc The growth potential of the global SaMD market is amazing, and major technology companies are rushing in Among them, the SaMD Software as a Medical Device market is expected to grow at a compound annual growth rate of 6930 during the forecast period from 2019 to 2026 Due to the endless market potential, world-class industrial and information communication companies are actively rushing to enter However, the barriers to entry in the medical industry are not low How to talk to doctors has become the first problem Open AI Fab, founded in May 2019, is a consistent winner of the AI GO "Industrial Problem-Producing, Innovative Problem-Solving" and AI HUB AI New Talent Selection Competitions in the AI Program of the Industrial Bureau of the Ministry of Economic Affairs Huang Mingshi, founder and CEO of Kaiyuan Intelligent Manufacturing, said that the company continues to accumulate experience through projects and competitions In the field of smart medical care, "doctors" are important and key figures Kaiyuan Intelligent Manufacturing not only recruits emergency room doctors to serve as medical directors , as a bridge of communication with the medical community, the company team visited hundreds of doctors in two years to understand the needs and enter the huge market of smart medical care "Doctors are very smart and their time is precious Answering his questions quickly and accurately in a short period of time and building mutual trust are important keys to whether the two parties can have substantial cooperation" Huang Mingshi further emphasized that doctors also have a strong interest in AI There is unlimited imagination However, AI technology that uses deep learning requires doctors’ annotation If doctors cannot assist in annotation, AI will be of no use The first step in establishing communication with doctors is to establish appropriate expectations for AI Through cooperation with Northern Medical Center and Southern Medical Center, Kaiyuan Intelligent Manufacturing has two relatively mature medical AI services "Da Vinci Surgery Organ Identification Solution" and "Heart Failure and Structural Abnormality Solution" The Da Vinci surgical organ recognition solution uploads Da Vinci surgical video files Doctors can choose the images they want to recognize, and the AI model will identify different organs, nerves, blood vessels, etc from all the images together Da Vinci image recognition AI can be applied to obstetrics and gynecology or otolaryngology Da Vinci image recognition AI was originally used in obstetrics and gynecology The open source intelligent manufacturing team spent more than half a year adjusting the model of Da Vinci organ image recognition in obstetrics and gynecology around the clock, and then found UNET AI from Open Source open source code Model, a large number of model optimizations have been carried out At this stage, four of the eight human organs can achieve an accuracy of 85 For this year’s AI GO competition, Kaiyuan Intelligent Manufacturing also assisted the Department of Otolaryngology at the Central Medical Center to establish Da Vinci organ image recognition In just one month, from the initial discussion, data collection, data annotation, and AI model creation , and finally obtained empirical results, gradually shortening the learning curve through the process of customizing AI The time taken by AI to calculate cardiac ejection fraction is shortened from 20 minutes to "seconds" In addition, solutions for heart failure and structural abnormalities will become the first step in the productization of open source intelligent manufacturing AI Huang Mingshi said that when the cardiac surgery department of Southern Medical Center performs cardiac catheterization on patients, doctors also need to take left ventricular photography After injecting the contrast agent into the patient, the doctor can draw the outline of the heart through the diastolic and systolic images of the heart at different times , and calculate the cardiac ejection fraction There are two shortcomings in the traditional method First, drawing and labeling require a lot of time for doctors Second, doctors use manual drawing to calculate the cardiac ejection fraction The standards are inconsistent, resulting in the lack of objective standards The solution for heart failure and structural abnormalities through deep automatic learning technology not only shortens the time for doctors to draw the outline of the heart and calculate the cardiac ejection fraction from 20 minutes to "seconds", it can also help doctors analyze the ventricles abnormal conditions, and establish an early warning platform for heart failure and structural abnormalities Heart failure and structural abnormality solutions will become the first step in the productization of open source intelligent manufacturing AI In the process of communicating with doctors, Huang Mingshi found that the biggest difficulty for doctors is to obtain and label cases after de-identification, which takes a lot of time Taking the left ventricular photographic film as an example, a patient In a two-minute video, there are 30 photos that need to be annotated in one second The number of photos that need to be annotated in two minutes is as high as 3,600 photos It takes a lot of time for just one patient, not to mention that a doctor may have dozens of patients bit, it takes more time In addition to collecting questions and answers from interviews with hundreds of doctors and establishing a question bank, Kaiyuan Intelligent Manufacturing also trains engineers and data scientists to learn data annotation by doctors After repeated confirmation with doctors, the main data annotation work at this stage can be left to engineers Practical solution to doctors’ problems In smart medical care, due to different departments, racial differences, different conditions of each patient, and different hospital needs, it is difficult to produce a universal and standardized AI model in the short term, and customization is the best way Kaiyuan Intelligent Manufacturing adopts the Open AI method to shorten part of the development time and focuses on technological breakthroughs in customized AI model construction The developed AI modules can extend their application fields, which is also one of the company's competitive advantages Medical devices are independent from pharmaceutical affairs laws and obtaining medical device software certification is the top priority In order to develop Taiwan's smart medical industry, the Food and Drug Administration TFDA of the Ministry of Health and Welfare passed the "Medical Device Management Act" in December 2019, which will separate the management of medical devices from the "Pharmaceutical Affairs Act" and will be implemented in May 2021 It will come into effect on January 1st Medical device software SaMD requires product developers to obtain license approval from local competent authorities before it can be sold in local medical channels Therefore, Kaiyuan Intelligent Manufacturing will prioritize obtaining SaMD licenses in the United States and Taiwan Huang Mingshi pointed out that Kaiyuan Intelligent Manufacturing just received angel round financing in 2020, and it is expected to complete the Pre-A round of financing by the end of March 2022, which will be used as funds for the next year and a half At the same time, we also plan to obtain the second-level medical device software certification from the Food and Drug Administration of the Ministry of Health and Welfare within 2 years, and complete the smart medical AI product development plan strives to introduce practical applications and make smart medical care practical and popular Huang Mingshi, founder and CEO of Kaiyuan Intelligent Manufacturing「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

"Just like many pork stalls in traditional markets, you can buy pork everywhere However, different ways of processing and cooking will produce different delicacies" LnData has been deeply involved in data processing and application for many years President Xie Peifang explained in a simple way the advantages of Lin Data Technology when everyone is striving for "data" business opportunities Data is known as the "black gold of the new era" and is as important as crude oil With the advancement of technology and digital technology, the amount of data obtained by enterprises is growing rapidly How to refine oil into gold depends on experience, technology and the trust of brand owners Focus on first-party databases and establish sales communication intensity indicators Founded in 2016, Lin Data Technology specializes in data technology, provides diversified and innovative software services SaaS, and plays the role of an independent third party in the market Through diversified and advanced various types of data collection and The serial connection service assists enterprises in data collection, data cleaning, data management and final data application, using the most authentic and complete data in every business decision-making to gain market opportunities Xie Peifang, Chief Strategy Officer of Lin Data Technology LnData Xie Peifang said that the original intention of the company was to establish a third-party advertising effectiveness monitoring unit Since it is difficult to evaluate the brand owner’s advertising budget investment and effectiveness, in addition to the authenticity of the traffic, it is difficult to verify which placements are actually exposed, the audiences reached, etc Detailed information is often vague, so an impartial third party must monitor it to be fair, impartial, and transparent At the same time, we help brand owners to use digital marketing not only to achieve last-mile conversion, but also to achieve brand exposure and completely establish the consumer purchase journey However, since the fees for third-party advertising monitoring must be included in the overall advertising budget, and the media does not want to be monitored, the overall Taiwanese market acceptance is still not high Therefore, Lin Data Technology has turned to establishing a "first-party database" for brand owners ” is the focus of development SaaS products connect all consumer touch points and establish a first-party brand database The first-party database refers to the relevant data of brand owners in various marketing channels or digital content, as well as nodes that interact with consumers, collected through the unique crawling capabilities of Lin Data Technology, and then analyzed using artificial intelligence Process and generate sales communication intensity indicators Brand companies can use this indicator to understand the degree of discussion of their products in consumer groups, make corresponding corporate decision-making suggestions, and produce user behavior pattern analysis based on artificial intelligence Xie Peifang said that the first-party database will also be connected to the brand owner’s CRM system Through Lin Data’s technology, a brand data hub Brand Data Hub tailored for the brand owner can not only effectively track and connect each A consumer touchpoint data helps brand owners to interact meaningfully with consumers anytime and anywhere, and can also identify Key Opinion Consumers KOC who are loud and iconic in the community and are willing to speak out for the brand , become a brand ambassador, and through "mission" activities, increase member stickiness and diffusion, turn consumers into "brand groups", and truly achieve the purpose of precise marketing CRM combines Unified ID to track and understand the consumer journey Currently, Lindata Technology’s customer base is distributed in beauty, beverage, automobile, banking and other industries Through the customer relationship management system CRM combined with the function of the community, each consumer is marked with an ID, and the intention and behavior of consumers at various touch points such as web pages, advertisements, communities, and e-commerce are instantly grasped, and the customer's intentions and behaviors are provided The best marketing strategies for brands "In the past, brand owners' CRM systems were mostly created using Excel tables, which was labor-intensive Moreover, brand owners often spent 200,000-300,000 yuan to find KOLs Key Opinion Leaders, but they couldn't find them "Effect", Xie Peifang said that by using Lindata's SaaS service to digitize the data, it can not only establish and accumulate a membership database, but also find more than 100 loyal and high-volume consumers at once, accumulating the comprehensive benefits of the above consumers to the brand , far more than a KOL, of course the brand owner is willing to pay the bill At the same time, as the number of KOC increases, the voice meter of the online community continues to grow After establishing the database, there are three major benefits 1 Quantitative data on member influence are available for reference 2 The system accumulates the results of all members’ tasks In the past, a lot of manpower was spent on statistics, but now it can be solved with digital tools 3 The brand’s reputation and number of shares on the community will continue to increase, forming a positive cycle Xie Peifang said that when promoting data technology services, the biggest difficulty is that the amount of data needs to be accumulated for about six months to a year before truly meaningful analysis can be seen The specific approach is to first interview customers to clarify the data collection strategies and channels And she also admitted that what is really useful is CRM data Accumulated data without interactive information is dead and of no use Establishing a data middle platform as the ultimate goal and becoming a data supermarket AI technology is used to classify and group complex data from multiple channels, capture different data characteristics, and manage them with labels naturally generated by AI The actual work process is all the pipelines for data entry must be planned first, followed by cleaning the data This part is the most difficult After cleaning, labeling, classification and explicitness are started, and continuous optimization is started, and then it is packaged as a marketing tool Application of activities Cross-channel data concatenation and accumulation to strengthen brand database application Xie Peifang said that Lin Data Technology will continue to deepen the accumulation and application of first-party data from brand owners in the short term That is, from the customer's perspective, we develop SaaS services for all consumer journey nodes The solutions range from network monitoring, advertising monitoring, APP optimization, and consumer inquiry systems to dividing the services into independent SaaS tools and Focusing on consumers, we integrate all data to help brand owners better understand consumers The second stage is to develop a data market Data Marketplace After obtaining the consent of consumers, the data obtained will be de-personalized, such as different databases of investors with the same investment attributes, women in confinement, characteristics of diabetic patients, etc Exchange or cross-industry cooperation is possible In the final stage, Lin Data hopes to help brand owners build a "data middle platform" to quickly integrate brand data assets, exchange data in a safe, clean and trustworthy environment, and create a data supermarket In fact, there are more and more data markets in Taiwan, each with the ability to collect different data Xie Peifang adopts an open attitude and believes that whichever one is useful to brand owners is a good data market "Just like meat can be bought everywhere, but the methods of processing the meat are different and the taste is different This is the skill of the chef" This is Xie Peifang's most appropriate metaphor for the data market Lin Data Technology Company Team Note The core idea of the so-called "data middle platform" is data sharing Through organizational adjustment, data warehousing, data synchronization and other technical methods, a middle platform that uniformly manages data sources and applications is designed to support internal uploads Hundreds of business applications to avoid problems such as repeated construction and incomplete definition of data indicators

In intelligent systems, AI plays a key role In addition to cultivating professional AI talents, the Artificial Intelligence Operations Management Research Center of the National Taiwan University of Science and Technology also actively conducts various project studies with enterprises to accelerate the implementation of industrial intelligence in Taiwan One of the cases uses artificial intelligence and machine learning methods to use quality information for maintenance prediction and planning, which greatly improves equipment reliability and product quality Using quality defect detection AOI technology can reduce the rate of missed defects Yu Wenhuang, director of the Artificial Intelligence Operations Management Research Center of the National Taiwan University of Science and Technology, observed that industry demand for AI is increasingly strong, and electronic manufacturing, finance, medical and other fields have greater development potential On the one hand, the above-mentioned industries have a high degree of informatization, and automation products Online technology and the digital environment are mature and have the conditions for the development of AI technology on the other hand, because the data required by the industrial environment has been retained, managed and used, it is easier to promote the application and solutions of AI technology when the concepts and data are available plan Quality defect detection AOI technology effectively reduces the wrong kill rate For example, in the field of smart manufacturing, the team of the National Taiwan University of Science and Technology's Artificial Intelligence Operations Management Research Center assisted Taiwan's major electronics manufacturers in constructing a production line equipment diagnostic system and building a sensing network architecture in the production line equipment at the manufacturing site to detect Measure and record the operating status of the machine Through big data analysis, a warning can be issued when an abnormality occurs on the machine to remind the manager to schedule maintenance We use the AOI quality defect detection process, combined with machine vision and deep learning technology, to detect defects in electronic parts and perform real-time control and monitoring to assist companies in developing automated optical inspection stations, surface defect algorithms, and management application functional services In the flexible printed circuit board FPC industry, quality defect detection technology is used for image identification, mainly for re-inspection after the initial inspection, and the original inspection results are designed to be re-inspected When doing defect detection, ordinary factories often believe that "they would rather kill a hundred by mistake than let one go" and adopt the most stringent testing standards With the current testing technology and process, it may cause excessive detection and waste the cost of good products The Artificial Intelligence Operations Management Research Center of National Taiwan University of Science and Technology focuses on smart manufacturing solutions Lecturer Professor Cao Yuzhong, director of the National Taiwan University of Science and Technology Artificial Intelligence Operations Management Research Center, said that the current flaw detection, AI model and algorithm construction and training of the National Taiwan University of Science and Technology Artificial Intelligence Operations Management Research Center have achieved preliminary results The center hopes to use images to The results of the identification can help companies quickly identify defects and quality status of products during the production process After that, the next stage can start from the source, how to optimize parameters, improve behavior in the production process, and assist the factory to optimize the process Better During the product production process, the parameters of the machine equipment can be used to analyze machine data abnormalities and summarize different patterns for future maintenance and quality management to provide reference for enterprises in the application field The epidemic is the biggest catalyst for digital transformation for enterprises Director Cao pointed out that the introduction of AI to promote digital transformation of enterprises is not necessarily just based on reducing costs or improving production efficiency, but must be based on the fundamental development goals and the essence of the problem Process analysis, thinking about how to use AI or ICT technology to serve and meet process and customer needs This process often requires breaking out of the existing framework to help companies reshape new operations and management models to effectively improve corporate performance Chair Professor Cao Yuzhong, Director of the Artificial Intelligence Operations Management Research Center of National Taiwan University of Science and Technology The biggest challenge for enterprises introducing AI improving customer trust In the process of expanding AI industry-university cooperation, Yu Wenhuang believes that the biggest challenge is to enhance the trust of enterprises in you For customers, a certain degree of trust is required before the Know-How of the production line can be communicated to you Share and tell you where the focus of business is In the absence of business trust, it is difficult for AI industry players to analyze the availability of processes and data Enterprises usually consider two key points when choosing AI cooperation partners 1 When cooperating with you, will the data and results be sold to others 2 Will the cost of customization be too high Although companies are less wary of academia, Director Yu still believes that gaining customer trust and jointly establishing sustainable AI innovation application capabilities and development goals are the key to The key factors for all ICT companies to face industrial customers and their ability to provide AI solutions Regarding the cultivation of AI talents, Yu Wenhuang also has his own unique insights He observed that the education system from junior high schools, high schools to universities has driven the trend of AI However, AI technology itself has many theoretical foundations and industrial knowledge that must be integrated When talking about AI talent cultivation, we should first define how to construct a talent development system or route in the AI field, what types of people are needed to introduce AI into the economic system, systematize talent positioning and characteristics, and let talents who are interested in investing in the AI industry understand how to use their own The goal measures the types of AI skills and jobs that can be developed Secondly, it is to help companies that want to promote AI in a systematic way to understand, whether it is developing applications or building technical teams, how to measure the talent needs and technical blueprint corresponding to business goals It not only plays the role of problem-solving, because AI It is just one of the ways to solve the problem Only by assisting enterprises to establish innovative consciousness with AI RD thinking can we truly implement industrial development, strengthen demand and promote both supply and demand at the same time, and accelerate the implementation of AI applications and talent cultivation NTUST Artificial Intelligence Operations Management Center provides a number of smart manufacturing solutions Regarding smart manufacturing solutions, the solutions provided by the Artificial Intelligence Operations Management Center of National Taiwan University of Science and Technology are as follows Intelligent predictive maintenance Adopting artificial intelligence and machine learning methods, using quality information for maintenance prediction and planning, greatly improving equipment reliability and product quality, establishing failure modes and reliability analysis based on different equipment operating characteristics, and using process control analysis to trace products Quality history helps on-site personnel eliminate operational abnormalities in a timely manner Smart dispatch and scheduling planning According to the characteristics of the industry, develop intelligent labor dispatch and scheduling algorithms to effectively shorten setup time and total working hours For example, for a variety of workpieces, the production schedule must meet conditions such as combined material preparation, group production, and specific process sequences From the group production of workpieces, the assignment of adapted production lines, to the multi-parallel single-machine scheduling that adjusts the production sequence of each production line under grouping, the optimization algorithm is introduced to design a complete smart schedule system Deep learning and automatic optical inspection Improve quality defect detection AOI technology, using machine vision and deep learning, which can detect flat and curved surfaces of metal electronic parts, and perform real-time control and monitoring, including automated optical inspection stations, metal AOI defect algorithms, and modular design and other application technologies The design elements of this algorithm 1 Automated optical inspection station 2 Metal AOI defect algorithm 3 Modular design Smart Situation Room Combined with high-end graphics card flexible assembly units, including processing machines, industrial robot arms, collaborative robot arms, engineering inspection stations and conveyor belts, a smart war room with digital twin technology is established The technical features include real-time monitoring, data integration, data Transparency and data visibility 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

2D industrial cameras of European, American and Japanese brands have been popular in the market for many years The market has been reshuffled as it transitions from 2D to 3D The domestic brand LIPS, which mainly focuses on 3D cameras, has taken advantage of the trend and launched a variety of 3D camera from standard to industrial models It provides total solutions through hardware, software, and systems, has become a hot commodity in the market Since its establishment eight years ago, LIPS has focused on the 3D sensor market and aims to become a leading brand in machine vision The 3D image and sensor market will exceed US10 billion in 2026 with an annual growth rate of 14 According to forecasts of Yole Deacuteveloppement, the 3D image and sensor market will grow from US68 billion in 2020 to US15 billion in 2026, with a compound annual growth rate reaching 145 Among them, the mobile and consumer markets will account for 46, becoming the mainstream of the market, followed by the automotive and industrial fields, accounting for 22 In terms of mobile and consumer markets, in addition to mobile phones, 3D sensor technology has a wide impact on the consumer market, including tablets, VRAR, robot vacuum cleaners, and AIoT AI combined with IoT For example, the 3D facial recognition of Apple's iPhone is the most popular 3D sensor technology today LIPS focuses on the development of 3D vision and AI, providing software development kits and software and hardware solutions The software development kit is based on 3D depth images combined with AI algorithms, and can be quickly applied to industrial automation, smart logistics, smart healthcare, smart retail, industrial safety, and automotive assistance systems LIPS has three core competencies Benson Lee, chief marketing officer of LIPS, said that 3D depth cameras integrate optics, electronics, mechanisms, parallel processing, algorithms, and AI, and has a high technical threshold The three most common 3D sensor technologies are Time-of-Flight TOF, stereo, and structured light depth cameras The company provides 3D sensor total solutions Benson Lee also pointed out that the companyrsquos has an advantage in 3D sensor end-to-end solutions 1 In terms of 3D depth cameras, it covers three technologies ToF, stereo, and structured light It is rare for a manufacturer to have all three technologies at the same time 2 3D sensor intermediary software supports AI sensor intermediary software, such as facial recognition, head count, body tracking, gesture recognition, and spatial measurement 3 One-stop solutions for 3D sensor systems, such as 3D scanners, advanced driving assistance systems, and facial recognition systems are provided as standard products and can be customized according to customer needs The company has become the best 3D AI technology partner for many iconic customers around the world LIPS 3D vision guided robot solution Obtained 30 patents around the world, LIPS products reach deep into the Japanese market LIPS has obtained more than 30 patents for its 3D AI technology, mainly in the United States, China, and Taiwan Its marketing strategy has shifted from exports to domestic sales, starting with Japan and working with tier one Japanese customers, such as multinational tech company in precision ceramics, one of the top eight electric machinery companies in Japan, and Japanese device manufacturing and solutions providers The company has shipped large quantities of goods to several world class customers, such as the multinational tech company in precision ceramics, the largest manufacturer of industrial self-propelled vehicles in Germany, and one of the top eight electric machinery companies in Japan Among them, the LIPS 3D camera supports the leading AI company Isaac and has been fully adopted for autonomous mobile robots AMR in the factory of the largest industrial self-propelled vehicle manufacturer in Germany LIPS has also obtained a supplier code of the largest industrial self-propelled vehicle manufacturer in Germany LIPS also provides the best 3D vision solution for the platform of the leading AI company, and can be integrated into the automation platforms of leading AI companies Isaac and Jetson This platform mainly provides total solutions for robotic arms, factory automation, AGV, and self-propelled vehicles LIPSedge supports the SDK of the leading AI company Isaac, and there is currently only a handful of certified 3D cameras Mr Luke Liu introduces the robotic arm The 3D sensor solution provided by LIPS is more accurate than 2D It uses 3D skeleton technology to provide a safe "3D virtual fence" for robotic arms, which were provided to the robot factory of a Japanese multinational tech company that makes precision ceramics It is expected to become the standard equipment of robotic arms around the world The 3D measurement market has unlimited potential, targeting the global logistics and transportation industry After the pandemic, LIPS actively invested in related applications and is currently targeting logistics and industrial automation solutions Besides application in virtual fences, 3D package size measuring machines used in the logistics and transportation industry are developing the fastest and the most mature The product has entered the Japanese market through Japanese partners, and has unlimited potential for application in post offices, logistics stores, and convenience stores LIPS' strategy is to first enter the Japanese market and then expand to the global market after establishing successful application cases Benson Lee pointed out that the technical threshold of 3D measurement algorithms is extremely high Japanese logistics companies deploy it in stores to measure irregular items, such as suitcases, shopping bags, and paper bags Manual measurement was time-consuming and labor-intensive The use of 3D cameras to measure length, width, and height greatly reduces the manpower requirement, and gives store clerks more time to serve customers properly LIPS 3D measuring machines have been certified by Japan's top three logistics solution providers In addition to 3D measuring machines, LIPS is also actively developing other logistics solutions, such as assembly lines and mobile versions Customers include the world's top logistics companies LIPS hopes to provide 3D measuring solutions to post offices, convenience stores, and logistics centers worldwide, and has gained one-third of the market share in logistics automation LIPS was founded in 2013 by Luke Liu, who studied at MIT The company is highly technology-oriented and specializes in 3D sensor and AI technology It uses depth cameras with software algorithms to provide machine vision and AI solutions that meet customer needs, and applies the solutions in various industries

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

According to statistics, there are more than 750 million security cameras in the world, with an annual growth rate of 10-15, showing that modern people have increasingly urgent needs for security However, due to the huge amount of accumulated image data and issues related to personal privacy, even though 90 of public areas, factories, banks, etc have security cameras installed, less than 1 of the images have been analyzed and applied In order to solve personal privacy issues and enhance the multiple applications of image analysis, cloud guardian security control Beseye has developed human backbone feature analysis technology, which can effectively solve security issues Human backbone feature analysis technology improves analysis accuracy by about 30 Beseye, a cloud protection and security company, was founded in 2013 Its founding team comes from MediaTek and HTC, and has exclusively developed high-precision long-distance human skeleton feature analysis technology Skeleton-Print Technology , captures 4,000 feature points on the human body to analyze people's behavior in different fields Even at a detection distance of 30 to 50 meters, it can accurately capture the detector's hands, torso, feet or Characteristic points such as walking posture Tu Zhenghan, founder and CEO of Beseye, a cloud protection security control company, said that Beseye’s technical advantages and features include long recognition distance, small face angle restrictions, high low-light tolerance, and no need to analyze faces during the analysis process department information to ensure that people’s privacy is not violated and there is no need to worry about information security issues Cloud guardian security control Beseye monitors dangerous areas in the factory At the same time, the technology has a high degree of real-time analysis capabilities, with an average identification speed 375 times faster than traditional analysis, and analysis accuracy increased by approximately 30 Application fields include retail shopping malls, analyzing consumer behavior public transportation systems, detecting whether people break into dangerous areas factories, worker procedure detection, prohibited area detection hospitals, fall detection, rehabilitation posture analysis banks , intruder detection and other analysis Tu Zhenghan said that Taiwan has the third highest density of security cameras in the world, second only to China and the United States The cameras collect a large amount of image data every day, and cloud protection security Beseye locks factories, smart retail and transportation public areas, etc Among the three major application areas, the Taiwan and Japanese markets are the main ones, with Taiwan accounting for 60 and the Japanese market accounting for 2-30 In the next 2-3 years, it will continue to expand to Singapore, Hong Kong, Europe, the United States and other markets The application of cloud guard security control Beseye on the factory production line Operation model of artificial intelligence analysis platform, security and customer group analysis Among them, in terms of factory operations, Tu Zhenghan analyzed that manufacturing factories are most concerned about three major issues 1 How to manage the supply chain to ensure safe supply of raw materials 2 How to implement production management on the production line 3 How to smoothly transport the finished product to the client after the production line produces it The core technology of cloud guardian security control Beseye focuses on how to help the management of the production line become smoother The management efficiency, quality and personnel safety of the production line are all related to production capacity and revenue, and are the economic lifeblood of the manufacturing plant Inspection measures must be implemented between each work station If inspections are missed, it will cause losses on the production line If an industrial safety accident unfortunately occurs, the compensation and reputational damage that may be faced are often unbearable by major international companies The operation mode of cloud guard security control Beseye's artificial intelligence analysis platform is not only biased towards safety analysis, such as whether factory employees have special postures and movements that may cause work safety accidents, but the other part is biased towards customer group analysis That is, crowd flow analysis and consumption trends in the retail industry Huang Yuxin, marketing director of cloud guard security control Beseye, said that in terms of smart retail, large shopping malls, department stores, clothing brands, etc will be introduced She pointed out that retailers can only know the number and quantity of checkouts through the POS checkout system every day, but cannot see the appearance of their consumer groups Retailers want to know more about the number of consumers who come to the store every day, how long they stay, the path they move through the store, and what products they touch in the store Through the analysis of consumer actions and behaviors, the consumer purchasing journey can be outlined and corresponding marketing strategies can be adopted Cloud guardian security controls Beseye’s monitoring of picking up items from smart retail shelves The application of cloud guardian security control Beseye in smart retail customer information collection For example, for products of different brands, although the daily sales are the same, through image analysis, it can be understood that 300 people picked up brand A, but only 100 people bought it Compared with 100 people picking up brand B, there are With 100 people buying, you can grasp consumer decisions and adjust your marketing and pricing strategies In addition to real-time analysis of images, the Beseye Artificial Intelligence Platform of Cloud Guard Security Control will collect advertising results for final data feedback For example, when digital electronic billboard advertisements are broadcast, the age and gender of consumers who watch them, the effectiveness of advertising, etc will be recorded on the platform It will automatically learn to understand whether the original target of the advertisement matches the actual interested target, and automatically correct the advertisement to be delivered to the correct audience to achieve the purpose of precise marketing Beseye's current partners include Japan's Tokyu Electric Railway, Japan's JFE Steel, Taiwan's Chunghwa Telecom, Taiwan's Far EasTone Telecommunications, Advantech and other large domestic and foreign companies In the future, it will develop towards long-term care, banking and other industrial fields Huang Yuxin, marketing business director of Beseye, a cloud guardian security control 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

"Hi I am Afa It is my birthday this month This year I will give you a birthday gift" This is Cathay World Bank's smart customer service Afa, which has been implemented in the five major subsidiaries of Cathay Financial Holdings, except In addition to a customer satisfaction rate of 94, it has also brought a new group of young customers to Cathay Financial Holdings This intelligent robot was jointly developed by Xinli Information Through AI supervised training and a purely locally developed dual-brain one process, SysTalk The ai service robot can achieve more powerful language understanding than Google Bert Xinli Information has created the local SysTalkai brand and exported it internationally It hopes that the proportion of overseas revenue will increase from 15 to 50 in the next five years Technology-oriented Xinli Information strengthens the strength of the local AI team Xinli Information, founded in 2005, is a "technology"-oriented information software service provider that focuses on the research and development of digital financial technology The highest proportion of customer groups is in the financial industry, accounting for 65, and the remaining 35 includes Government agencies, high-tech industries, transportation, such as Beijing Municipal Government, Ubike, etc Xinli Information continues to develop its own technology "Five years ago, bank customers needed customer service intelligent robots After Xinli introduced intelligent robots from the United States, they almost dismantled and reorganized them and re-created independently developed customer service robots" Xinli Information Information general manager Yao Shengfu went on to say that the bank's requirements are very high, and Xinli engineers worked day and night to launch SysTalkChat - an intelligent customer service robot solution that uses next-generation NLU technology for semantic analysis and Chatflow conversation process engine to provide the most flexibility chat function At this stage, it has been introduced by Cathay Pacific Group into its five major subsidiaries including banking, life insurance, property and casualty insurance, investment credit and securities The intelligent customer service "Afa" provides one-stop service and creates a new working model of human-machine collaboration Xinli Information outlines the AI solution blueprint for the digital workforce After having successful experience, Yao Shengfu said that as global investment in AI RD technology teams doubled, Xinli became a The only AI conversational robot on the market equipped with dual NLU algorithms, accelerating the goal of Taiwan's local model to be on par with international standards Currently, Xinli Information has 550 employees, including 60 people in the AI team, accounting for one-tenth of the total Combining the global open source community, Xinli Information uses SysTalkai developed by Taiwan's local team to create "eyes machine vision and facial recognition, ears speech recognition, mouth speech synthesis, TPS, brain natural language Understand NLU" 4 major AI models, and through SysTalkRPA - RPA automated process robots, we hope to create Taiwan's AI digital workforce and provide end-to-end solutions At the same time, for small and medium-sized enterprises with limited resources, Xinli also provides cloud solutions Lower the threshold for digital transformation and prepare for the industry to quickly move towards digital transformation after the epidemic Xinli Information dual-brain analysis conversational service uses a number of AI technology applications There are so many new AI innovations in Taiwan What are the characteristics of Xinli’s AI solutions Yao Shengfu said that considering AI as a product line, even if the technical depth is sufficient, it will be difficult to achieve if the integration and implementation capabilities are insufficient Most of the customers Xinli serves are large enterprises Customers require technology manufacturers to be able to implement technology customization and help customers highlight their value In addition, Xinli has always attached great importance to the quality of follow-up services, which is the key to Xinli Information's success However, even though it emphasizes the "technology-based" service spirit, Xinli Information also cooperates with FinTech companies to implement technologies and ideas in actual customer application scenarios, so that Taiwan's FinTech energy can exert a synergistic effect, such as Xinli cooperates with the StockTime cloud innovative service platform to jointly provide more convenient and secure SaaS stock management services, and plans to provide more financial applications on the platform through blockchain technology Hard skills soft power to cultivate a key talent pool for digital transformation "Digital talents" are an important asset in the software industry In addition, financial holding groups have established digital finance-related departments, and the war for talents is constantly going on In order to cultivate local professional talents, Xinli Information has formulated a six-month "IT "Xinxiu Elite Training Plan" provides educational training on technical skills in the first three months in the second three months, personnel are assigned to various departments to actually participate in projects Through the instructor's step-by-step guidance, the trainees can quickly implement AI In the project plan, hundreds of professional talents have been trained so far After cultivating "hard skills in the first three months and soft skills in the next three months", Yao Shengfu believes that he is not enough to serve as a consultant for industrial digital transformation It will take another three years or so to be able to serve customers Make recommendations for transformation However, the members of the Xinli Information AI department are quite diverse, including journalists and linguistics related people We hope to provide suggestions on transformation solutions for various industries through participants in different fields Talent is an important asset Xinli Information uses hard skills soft power to cultivate a key talent pool for digital transformation The picture middle is Lin Xiuming, deputy general manager of Xinli Information AI Product Business Division Xinli Information wants algorithms to go out of the laboratory and no longer just be words on research reports Therefore, we actively promote it to enterprises and hope to create algorithm applications in different industries and scenarios, so that the algorithm can take root in enterprises and become a real AI helper In addition, Xinli is also based on Taiwan's successful experience and promotes it to other overseas markets, including Vietnam, Singapore, Seattle, USA, etc, so that vertical enterprise AI services can be implemented and provided to more countries and enterprises Yao Shengfu pointed out that it is really necessary for the government to gather all the outstanding software service forces in Taiwan to develop Taiwan's software ecosystem In the next five years, the proportion of overseas revenue will increase to 50, moving towards an international company With the expansion of operation scale, the company has more than 100 large and small projects in progress at the same time, and the challenges of project quality and cost control are getting bigger and bigger Through the self-built enterprise resource management system, Yao Shengfu can now understand the costprogress status of each project in real time through the dashboard lights, and can also control quality and understand customer satisfaction through the audit system In terms of human resources management, we also hope to analyze the basic skills of each employee in the future, and establish an AI model talent database through the trajectory of serving customers, so that suitable employees can be matched to different customers Further enhance customer service satisfaction Since 2017, Xinli Information has successively established overseas bases in Singapore and Ho Chi Minh City, Vietnam The Vietnamese market has achieved outstanding results in 2021 In addition to continuing to cultivate the Southeast Asian market, which has a promising future, it has also simultaneously attempted to enter the European and American market channels , keep pace with international manufacturers Xinli Information hopes to use Taiwan's talents and software services to serve more customers in Southeast Asia and around the world In the next five years, the proportion of revenue from overseas markets will increase from 15 to 50, becoming an international company Yao Shengfu, general manager of Xinli Information 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」