【2022 Solutions】 Xiaoshi Intelligent Inspection uses the two swords of "AOI + AI" to combine software and hardware to open up the two channels of appearance defect detection and supervision.
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 AI+AOI 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 4.0, 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.
AI+AOI 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 AI+AOI 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 cloud/private 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 4.0 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 AI+AOI visual inspection solution creates rapid modeling and excellent results for customers with a missed detection rate of less than 1%
The most competitive AI+AOI 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 AI+AOI overall solution provider for the electronics and semiconductor industries in the future, and provide the top AI+AOI 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」
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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 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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

Herji Ltd held an interactive teaching session with AI storybooks at the 'Taiwan Early Childhood Development and Remedial Association Taitung Office', allowing children, teachers, and parents to engage in immersive educational experiences AI-generated children's educational storybook materials AI Learning Platform In recent years, changes in the social structure of Taiwan, combined with experiences in hospital emergency departments, have often led us to overlook the depressive symptoms exhibited by adolescents, resulting in tragic incidents of self-harm or even suicide among children A significant part of children's depression stems from their academic performance, with parents worrying about their children's future competitiveness, thus placing a lot of pressure on children who perform poorly academically In a family with two children with the same genetic background and provided with the same resources for growth, we often find that the second child's academic performance is not up 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AIIntelligent Defect Detection-Smart Monitoring Solution to Reduce Process Energy Consumption When there are over2ten thousand chip resistors on a ceramic substrate, how should one quickly detect defects The answer isUsingAIto detect。 In the era of rapid technological development, Leike proudly announces significant advances in its laser processing technology, thanks to the innovative applications of artificial intelligenceAILeike is committed to integrating advancedAItechnology into laser processing machines, and in2019year, in collaboration with partners, developed the world's first laser machining system that integratesAItechnology, and on this basis further developed in2023year the first ceramic substrate inspection machine that integratesAOIAILASERtechnology Smart Ceramic Substrate Inspection Machine Through the introduction ofAIand machine learning, along with the accumulation of big data samples, the system becomes smarter, which has led to improved product yield within one year5dramatically reducing the inspection time from originally2minutesper piece to just20secondsper piece, drastically lowering inspection costs, enabling efficient initial detection and post-laser marking to reduce waste in subsequent processes, diminishing overall carbon emissions of the site, allowing the automatic generation of detailed inspection reports for data analysis and optimization, which helps increase equipment capacity, reduce human error, enhancing the value of Leike's equipment, and strengthening the international competitiveness of the country's electromechanical industry Leike CorporationLaser TekFounded in1988year, and officially listed as a publicly traded company in2002year Since its establishment, it has become a leading global service provider and manufacturer of electronic packaging materials,SMDElectronic Packaging Materials,SMTinspection equipment, and laser systems Leike's general manager, with years of laser integration experience, observed that passive component customers can produce over20With many years of laser integration experience, he observed that the production capacity of passive component customers can exceed10billionSMDcomponents every month, but withSMDcomponents per month However, as component sizes continue to miniaturize, defect detection during production becomes increasingly challenging With thousands to millions of components on a single ceramic substrate, and as component sizes decrease and their laser processing positions become smaller, the difficulty of detection increases, making production inspection a critical process R-SMD Production Inspection Process AOIproblems of yield overkill relying onAIfor oversight, Yet,AOIthe inspection machine is a widespread and mature type, but the high accuracy on the marketAOIuses a technique that captures small images in a single shot and stitches them into a larger image Although accurate, this method requires more time for small-sizedSMDcomponents, which are more likely to be influenced by environmental factors like lighting and vibration that can cause misjudgments as a result,AOIyield rate can only be estimated by sampling, and components with poor sampling yield are not removed individually but discarded together with good ones manual re-inspection not only increases costs, but the lack of unified inspection standards ultimately results in about2-5products that are not detected as defective enter the subsequent manufacturing process monthly at least2,000thousands of such defective componentsSMDthat were not initially detected causing ongoing printing and machining inspections in subsequent processes Regardless of the waste of ink materials and energy, which increases the cost burden, this also accelerates equipment wear and shortens operational life Each stage of waste increases the site's carbon emissions, unfavorably impacting the company's carbon footprint Post-Adjustment Sample Photo Example 0402 TraditionalAOI High false positive rates in 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process, each pixel of the photodetector contains light information captured from various positions By combining this data, the image resolution and detail are enhanced, reaching a resolution of millions, and with multiple automatic light adjustments, a single shot can manage7070mmachieving an image resolution up to5umobtaining clear images, then throughSmart-AItechniques for analysis and selection Three Innovative Methods to Achieve Rapid InspectionSmart -AI Raytek's General Manager shares, rapidly implementingAItechnology and reducing inspection computation time, further developingSmart-AIthree major approaches Method one, initially useAOIto quickly separate good products from those with controversial defects, focusing the detection on the minority of defective identifications Method two, an automated labeling platform simplifies the training issue by using cameras to collect data from machines, automatic labeling replaces manual labeling, progressively training to improve accuracy The simpler the problem, the less data needed for training Method three,AOIandAIDual-track Advancement In the smart manufacturing process, relying solely onAOIorAIis not enough to accomplish the task alone, it must be preceded byAOIfirst marking the characteristics, distinguishing between good and defective parts, then usingAIa method for labeling and training Subsequently, by utilizing a repeating cascade effect, the detection benefits are greater as more training data accumulates,AOIreducing the ratio of errors,AIand gradually increasing the accuracy ratio Post Adjustment Object Detection and Training Through three major methods gradually building system reliability, and categorizing data for defect sorting, ultimatelyAIreturning the judgement results to the main system, utilizing laser machining to control truly defective products at the front end of the process, reducing the inflow of defective products into other stations, thus minimizing losses due to repeated tests or reprocessing Leading in smart laser equipment, chooseLASERTEKthe right one Continuously developed by the Taiwanese brand Raytek, combiningAIsmart detection and laser processing equipment to progressively build a smart monitoring solution stack from raw materials, products, testing, laser equipment, etc, aiming at reducing the energy consumption of the production process, implementing semiconductor advancements, substrates and component processing among other fields, producing equipment products capable of meeting the end-user demands under low carbon conditions, rapidly and with quality products and services expanding both domestic and international markets, enhancing the global competitiveness of localMade in TaiwanMITequipment 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-12-12」