Having experienced small to medium-sized e-commerce, founders and CEO Zi-Hao Huang and co-founder and COO Yi-Ting Li of Tammy Technology decided to tackle the marketing challenges of all e-commerce personnel using AI technology Focusing on fashion e-commerce, Tammy Technology's personalized recommendation SaaS Software as a Service helps small to medium enterprises tackle the rising costs of marketing and the overwhelming data, enhancing conversion rates and average order value, becoming an invaluable AI assistant in the fashion e-commerce industry Enhancing conversion rates has always been a major challenge for all e-commerce platforms Unlike major players like Google and Facebook who collect browsing history to target interested messages or advertisements, smaller e-commerce businesses lack the resources and manpower to construct data analysis systems or tools Company Position Marketing technology team for small and medium-sized e-commerce utilizing AI to establish automated marketing Established in 2016, Tammy Technology initially aimed to become 'the marketing technology team for small to medium-sized e-commerce,' hoping to resolve challenges of low conversion rates and customer retention through data analysis and personalized recommendation services 'Daniel referring to Zi-Hao Huang and I have both worked in small to medium e-commerce I handled branding, marketing, and design, while he managed backend systems, project management, and development launches, almost everyone was multitasking' Understanding the pain points of e-commerce operators, they decided to help small and medium enterprises by developing automated marketing systems and a personalized recommendation SaaS, aiding those with limited marketing resources Through AI technology, analyze consumer purchase preferences and provide personalized recommendation services By analyzing each consumer's purchase preferences using AI technology and storing their digital footprints in the backend for data analysis, Tammy Technology stands apart from traditional recommendation systems that categorize customers They offer personalized product recommendations based on each individual's style preferences to achieve precise marketing objectives Yi-Ting Li emphasizes that Tammy Technology's personalized recommendation service has two main functions one is to make website personalized recommendations, and the second is to integrate with marketing channels such as email, SMS, and chatbots chatbot to send personalized promotional messages When consumers enter the official website, based on consumer profiles and preferences, different product recommendations can be provided on each page Individual products also have different recommendation systems on different website pages, providing each consumer with a unique shopping experience after entering the site Using deep learning AI technology, Tammy Technology analyzes consumer behaviors at various online shopping touchpoints through various devices, digitalizing all consumer behavioral data to build consumer profiles For example, a consumer with high purchasing frequency designated as VIP, whose preferences for Morandi color schemes, lace materials, high-neck styles, etc, are recorded and tagged When browsing the store's website, the website will recommend corresponding products based on these purchase preference tags for VIP, and can also set customized discounts and pop-up windows, or send personalized messages through mobile SMS, email, etc, ensuring each customer receives discounts that fit their needs At this stage, Tammy Technology's client base includes male and female apparel, shoes, accessories, cosmetics, and other fashion design industries with a strong personalized color Many clients have seen significant results after introducing personalized recommendation services For example, Shu Uemura under the L'Oreal Paris group, specializing in high-performance skin products and trendy makeup products and professional makeup tools, experienced a significant increase in conversion rates by 3 times and a revenue increase of 18 times after adopting Tammy Technology's service Additionally, the well-known apparel business iRoo, after installing a personalized recommendation system on the official website and integrating digital marketing channels like Line and Chatbot, saw the conversion rate rise more than 5 times, with a monthly revenue increase of 21 The pricing model is subscription-based, with large corporations being charged based on specific feature needs The overall effect after customer usage achieves at least a 3 times increase in conversion rate, and an average of 2 times growth in average order value New client base After apparel and cosmetics, pushing into the home decor industry Despite the overall increase in e-commerce sales, the personalized recommendation service has shown impressive results However, due to the pandemic, non-essential fashion industries have been impacted Tammy Technology, which primarily relies on the fashion design industry, saw a decrease in e-commerce performance by about 30 during the pandemic To diversify operational risks, starting from 2022, Tammy Technology expanded its service clientele to include distinctive, quality-type home furniture and living products As for why not expand the client base to 3C products Yi-Ting Li explains, 3C products focus on cost-effectiveness and brand strength, like Apple computers which have a loyal group of fans, making it challenging to sway their purchasing behavior However, apparel, cosmetics, and home decor focus on personalization, style, and taste, like apparel with the fast, short-term 'fast fashion' trends, updating products weekly, and seasonal characteristics, updating personalized recommendations every 3-5 days and cosmetics, including makeup and skincare, which have high customer loyalty and repurchase rates, are most suitable for recommendations and proactive discount messaging Makeup and outfits represent personal taste, thus these two industries can complement each other in personalized recommendations To accelerate the process of integrating businesses with personalized recommendations, it is necessary to establish an SOP,' Yi-Ting Li continued, 'Tammy Technology, by introducing recommendation services in the fashion design industry, has constructed a service process SOP to facilitate rapid successful experience replication, expecting to quickly integrate into the life and home industry in the second half of the year New business model Establishing a new marketing model centered on the consumer Currently, Tammy Technology's client number has exceeded 2000, including globally renowned fashion brands like L'Oreal and BLUE WAY The future focus will remain overseas, aiming for markets like Hong Kong, Singapore, and North America Tammy Technology, with its successful experience of integrating recommendation systems into fashion e-commerce, has gained investors' favor, securing investments from domestic and international accelerators in 2021, raising a total of 70 million New Taiwan dollars, allowing for workforce and scale expansion Future plans include integrating investor resources to establish a new marketing model centered on consumers Tammy Technology co-founder and COO Yi-Ting Li「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

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

Quality inspection, like a double-edged sword, has always been a favorite and painful subject for Taiwanese manufacturers When AI deep learning enters the industrial visual inspection of traditional manufacturing industries, it can not only save inspection manpower investment, solve the problem of inconsistent manual visual standards, overcome the limited visual recognition and defect detection blind spots of traditional automatic optical inspection AOI, and also enable real-time traceability Causes of quality problems The overall AIAOI visual inspection solution developed by Xiaoshi Intelligent Inspection integrates software and hardware to create efficient appearance defect detection capabilities, helping electronics OEM customers create high-efficiency products with a miss detection rate of less than 1 and an overkill rate of less than 3 Check the level Xiaoshi Intelligent Inspection was established in 2020 Although it is a new venture two years ago, it did not start from scratch Founder and CEO Hong Peijun and the core team have been deeply involved in Foxconn factories for many years and participated in countless smart factory-related solutions and process improvements , has profound AI deep learning development capabilities, and accumulated rich experience in world-class AI application implementation Seeing that AI industrial inspection must be the last mile for the manufacturing industry to move towards Industry 40, Hong Peijun resolutely decided to implement AI deep learning technology in the field of smart manufacturing with high output value, and specialized in the development of AI industrial visual inspection For the manufacturing industry, product inspection is the most important part of all quality control, but traditional industrial inspection faces two major pain points 1 Manual visual inspection Today, more than 95 of the entire manufacturing industry still relies on manual visual inspection Inspection makes it difficult for manual visual quality inspection standards to be consistent, and visual inspection of fine objects, such as passive components or highly reflective components, will cause long-term vision damage 2 Traditional AOI automatic optical inspection The product has limited visual recognition capabilities and blind spots in defect detection Among them, the detection of appearance defects such as scratches, oil stains, dirt or hair and other unexpected subtle defects has always been a problem in AOI applications Insurmountable difficulties AIAOI visual inspection overall solution is a great boon for appearance defect detection When designing the product roadmap of Xiaoshi Zhikan, customer group positioning and strengthening customer product services and value were important indicators Moreover, appearance defect detection has always been an unresolved pain in the manufacturing industry, Hong Peijun said With industrial quality inspection AI software as the core, Xiaoshi Intelligent Inspection provides an overall solution for AIAOI visual inspection It mainly promotes three major products, including "QVI-T AI deep learning inspection modeling platform software" and "AI six-sided defect inspection and screening machine" ” and “AI Industrial Quality Inspection Platform” The main customer groups served are semiconductor packaging and testing, EMS electronics foundry, small metal parts processing and other industries with high production capacity and high gross profit margin In response to customer needs, Xiaoshi Intelligent Inspection provides corresponding software and hardware services, combining self-developed AI deep learning software and hardware quality inspection equipment to reduce the manual visual burden on the production line and effectively improve the production quality of the factory In order to help equipment manufacturers and technical engineers with development capabilities accurately grasp product appearance defect detection, Xiaoshi Intelligent Inspection independently developed QVI-T deep learning detection software, which can provide customers with defect location, defect classification, defect segmentation, anomaly detection and text recognition Key functions such as this are different from the fixed detection methods of traditional software Algorithms can be refined based on different industrial detection methods and different APIs can be developed to connect devices with different lenses The software design of this platform is very lightweight It is a SaaS software built on public cloudprivate cloud It mainly involves simple image uploading, labeling, training modeling, and verification testing After completion, users can download models, SDKs, APIs, and reports Effectively help customers achieve AI inference functions Currently, most of the industrial inspection services on the market are traditional AOI software industrial inspection machines, which can only measure product contours such as the head and length of fasteners, etc, and cannot truly provide detection of subtle product surface defects such as screw head cracks and tooth damage There is a lack of such high-precision defect detection companies in the market, Hong Peijun observed Xiaoshi Intelligent Inspection developed and independently built the "AI six-sided defect detection and screening machine" from customized services in the past to providing standardized services for customers at the current stage It provides standardized testing services for fasteners in measurement and surface defects, as well as passive components High-speed surface defect detection of similar products This professional machine uses the AI deep learning AOI composite algorithm technology independently developed by Xiaoshi Intelligent Inspection Through parallel computing technology, it can achieve model inference up to 3 milliseconds per picture, and realize multiple complex defect detection on the electrodes and body of passive components This professional machine is mainly used for the inspection of fasteners, small metal parts and passive components In terms of competitiveness in the industry, the software hardware integration provided by the AI six-sided defect inspection and screening professional machine is an important core competitive advantage of Xiaoshi Intelligent Inspection It is not as simple as it sounds Hong Peijun said with emotion that this special machine is very important in the industrial inspection industry Commonly known as the highly integrated integration of optical mechanisms, electronic controls, software and algorithms, the process requires continuous optimization and iteration, and requires multiple client verifications and modifications After a long period of hard work, the technical threshold has also been raised The AI six-sided defect detection and screening professional machine will be the main product promotion direction of Xiaoshi Intelligent Inspection in the next 3-5 years It is believed that AI combined with measurement technology and surface defect detection will be an important source of core competitiveness of Xiaoshi Intelligent Inspection, Hong Peijun said AI six-sided defect detection and screening professional machine will be the main product promotion direction of Xiaoshi Intelligent Inspection in the next 3-5 years Faced with the booming development of Industry 40 in smart factories, customers often ask "Does quality inspection data have secondary use value" Hong Peijun said that the "AI Industrial Quality Inspection Platform" launched by Xiaoshi Intelligent Inspection has a machine learning mechanism , which can be used for secondary use of quality inspection data to provide customers with multiple functions including real-time monitoring and early warning of production quality, quality traceability analysis, quality factor assessment, process parameter prediction and recommendation Taking the successful introduction into the automotive parts factory as an example, through the prediction and recommendation of process parameters provided by the AI industrial quality inspection platform, when we know the product defects, we build a set of models based on the experience of past masters, coupled with the network connection data from the previous stage, After integration, we have process data, incoming material data, and quality inspection data We can predict whether these machine parameters have run out, and we can recommend whether the process parameters of certain sections should be adjusted up or down Through the AI industrial quality inspection platform, Xiaoshi Intelligent Inspection can help customers connect visual quality inspection results, process data and acceptance standards with the existing MES system of the customer's factory to improve production quality, improve efficiency and reduce costs In terms of business model, Xiaoshi Zhiqian also provides a software subscription system for the deep learning detection modeling platform software It provides public cloud customers with traffic subscription and charges based on the amount of image uploads, while private cloud customers adopt an annual license fee license charging mechanism In addition, the company also provides customers with a buyout charging mechanism for the overall solution equipment, and provides a one-year warranty, after which consumables and software update maintenance fees are charged annually Going in the opposite direction, using both hard and soft methods, with a missed detection rate of less than 1 and rapid modeling in 15 minutes Faced with various small-volume and multi-sample inspection needs in the manufacturing industry, general AI deep learning visual inspection usually requires customers to collect a large number of photos of defective products, which is time-consuming to label, and also causes customers to have difficulty in importing AI, and defective products cannot be collected The introduction cycle is long and implementation is full of risks If there are not enough bad samples, the model will be inaccurate Kosaki Chikan goes in the opposite direction and uses its product "AI Visual Inspection Model Development Tool" to train models through pictures of good products provided by customers It is relatively easy for AI to learn good products, no labeling is required, and the time can be quickly compressed to complete the modeling Take the implementation of IPC electronics industry - AAEON Technology as an example In order to reduce the manpower input of the quality inspection station in the PCBA production line and have standardized quality inspection, Xiaoshi Intelligent Inspection provides an overall solution for PCBA AI visual inspection software and hardware services, and conduct in-line inspection on the factory's highly automated assembly line, effectively saving inspection manpower investment, improving the standardization of quality inspection rates, and improving the problem of inconsistent standards caused by manual visual inspection Through the introduction of AI visual inspection software and hardware integrated solutions, we have effectively helped customers maintain an overkill rate of less than 3 in the past two years, and achieved high-efficiency performance with a missed detection rate of less than 1 In addition, this solution allows practitioners who do not understand AI to quickly operate modeling By installing the modeling tool on the device, when the customer has a new product number and needs to create a model, he only needs to provide 10 pictures of good products to scan under the device It only takes 15 minutes to quickly train the model In terms of product core strategic layout, compared with market competitors who rely solely on general software services to seize all manufacturing markets, it is not feasible to apply it to industrial inspection Hong Peijun has observed over the past 10 years and believes that only software hardware can With technical thresholds and focusing on one industry and field, only by adopting a standardized company's AI six-sided defect detection and screening special machine can it be replicated and scaled up, and the company can truly continue to move towards optimization and create product competitiveness, even if there are other competing products It’s not easy to compete for this pie, Hong Peijun said Xiaoshi Intelligent Inspection’s overall AIAOI visual inspection solution creates rapid modeling and excellent results for customers with a missed detection rate of less than 1 The most competitive AIAOI overall solution provider with global presence For new entrepreneurs, facing business expansion is a challenge every day Hong Peijun said that small companies are easily snatched away by large companies, company talents are poached by high salaries, lack of deep customer relationships, and the business team is not large enough, etc How to overcome this Hong Peijun believes that the key to success and competitiveness of a new start-up company is to be diligent in making up for mistakes, provide better services, provide more immediate feedback, and create more professional solutions to convince customers Since its establishment in 2020, Xiaoshi Intelligent Inspection has always gone against the grain in terms of product core strategic layout, surpassing the competitive market among its peers, and actively taking root in the overall solution of AI visual inspection software and hardware Hong Peijun hopes that Xiaoshi Intelligent Inspection will become the world's most competitive AIAOI overall solution provider for the electronics and semiconductor industries in the future, and provide the top AIAOI professional machines and equipment to the electronics and semiconductor industry customer base Hong Peijun said that the technical capabilities of the company's AI six-sided defect detection and screening professional machine have reached the top domestic level In order to speed up the research and development of professional machines to become more standardized and sell them to overseas markets, the company will conduct a fundraising plan at this stage, hoping to use legal persons such as the Capital Strategy Council to assist in more business connections and fundraising channels For the medium and long-term goals, Xiaoshi Intelligent Inspection will lay out the global market including mainland China and Southeast Asian countries At the same time, it will follow the international footsteps of major OEMs in global layout Under the target inspection project, it will continue to develop specialty products and spread towards the international field 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」