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【2020 Solutions】 AI Assistant - Zhihe Technology Develops the World's Smallest Diamond Sorting Machine

How should one inspect diamonds that are only half the size of human hair? The answer is to use AI for the inspection.

Zhihe Technology has developed the world's smallest diamond sorting machine. By integrating AI and machine learning, along with accumulating large sample data, the system becomes smarter, increasing the yield rate from 70% to 96% within two years. Moreover, by incorporating AI technology into the laser cross-cutting machine capable of handling 500-nanometer laser machining optical measurements, it becomes the first laser machine globally implanted with an AI system.

2016年從中國大陸回流的智合科技,是一家專門提供微測距影像量測系統服務的新創公司,其主要的服務項目包括微米級(µm)甚至奈米(nm)級的微測距應用、半導體檢測、鑽石相關產品、高米密度刀具量測及非標準件檢測。

Zhongxuan Li, General Manager of Zhihe Technology, has over a decade of experience in AOI inspection. After returning to Taiwan from mainland China, he established Zhihe Technology. At that time, semiconductor processes evolved from 8 nanometers to 3 nanometers. Due to high difficulty levels in processing, Li saw a significant market opportunity. Plus, AI's development accelerated after Google released the TensorFlow software in February 2017. TensorFlow is an open-source software library for machine learning applications in various perception and language understanding tasks.

World's Smallest Diamond Sorting Machine - Improved Yield to Over 96%

Consequently, combining his expertise in AOI and AI, Li chose the diamond sorting machine as their first proving ground. Zhihe Technology assisted a major industry company specializing in grinding, cutting tools, optics, wafer refurbishment, and other precision industries with automating human visual inspection process of diamond operations. This company's star product, the 'Diamond Disk,' uses diamonds the size of half a human hair. Previously, the company used traditional visual inspection, employing over 80 workers per production line, many of whom were foreign labor or older employees. The process was time-consuming, output was low, and labor costs were high. Most importantly, their semiconductor clients demanded automation, digitization, and increased precision for diamond inspections.

With Zhihe Technology's help, they supported a semiconductor equipment supplier in fully automating their manual diamond inspection process. They helped create the world's smallest AI-equipped diamond sorting machine, increasing the yield rate from below 70% to over 96%, gathering millions of diamond data points per day.

Using AI Technology to Create the World's Smallest Diamond Sorting Machine

▲靠AI技術打造全球最小的鑽石篩選機

運用AOI及AI交互應用,大幅提升鑽石篩檢效率

▲運用AOI及AI交互應用,大幅提升鑽石篩檢效率

此外,智合科技在2019年10月與雷射設備廠商雷科科技共同合作開發雷射十字加工機,簡單說,就是在只有髮絲二分之一的尖點上,打上十字,其精度及準度的要求更高。智合採用AOI方式自動標注,測量位置與角度對位及加工高度,再運用AI訓練位置與角度估算核心,反覆校調後,耗費4個月時間,開發出全球第一台植入AI系統的雷射十字加工機,有了AI技術的加持,讓原有的雷射機價格翻了三倍之多。

智合與雷科科技合作,共同打造全球第一台AI 雷射機

▲智合與雷科科技合作,共同打造全球第一台AI 雷射機

Three brilliant methods to make Auto-AI digital transformation so easy

Zhongxuan Li shared that Zhihe Technology is able to quickly integrate AI technology and develop Auto-AI, allowing enterprises to rapidly adopt and smoothly transition into digital transformation. There are three main methods of implementation:

Method 1, Simplifying training issues with an automated labeling platform: Use cameras to collect data from machine manufacturers, replace manual labeling with automated labeling, and progressively train to improve accuracy. The simpler the problem, the less data is needed for training.

Method 2, Parallel advancement of AOI and AI: In smart manufacturing processes, relying solely on either AOI or AI cannot achieve everything. First, AOI should be used to mark features and distinguish between good and defective parts, followed by AI for labeling and training. Using them in tandem enhances their effectiveness, and as the training data accumulates, the proportion of AOI decreases while that of AI gradually increases.

Method 3, Enhancing the integration capabilities of embedded system peripherals: Establishing new computation platforms (embedded systems or IPC platforms) continuously enhances the computing power of AI, thus lowering the industrial threshold for AI applications.

為降低AI使用門檻與成本,智合科技建立自主開發核心-Auto-AI(又稱為傻瓜系統),目前已經跟國內知名工控電腦大廠進行合作,提供使用者更簡易的AI 使用環境。李忠軒表示,台灣是全球最適合作AI系統的國家,擁有超強的電腦設計能力與系統整合能力,若能再加上軟核心平台,將可大幅提升AI落地應用的實證。

AOI與AI交互並行,將AI應用落地時程大幅縮減

▲AOI與AI交互並行,將AI應用落地時程大幅縮減

智合科技有研發能力相當強的機械控制及AI演算法的專業團隊,主要是公司的薪酬制度不同,智合將70%的利潤分享給員工,讓員工共同享受公司的成長果實,因此能吸引優秀人才投入,即時協助解決客戶痛點,在不更新設備的情況下,藉由AI技術的導入,提升原有設備價值。李忠軒也自許,智合將從純粹業務推銷性質的設備商,轉變成為工業升級服務方案商,並將客戶的滿意度與安全感,轉變成為市場行銷上的卓越口碑。

智合團隊,圖(左一)為總經理李忠軒

▲智合團隊,圖(左二)為總經理李忠軒

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

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【解決方案】客廳化身為健身房 Uniigym矢志成為健身界的Netflix
Living Room as a Gym: Uniigym Aims to be the Netflix of Fitness

Afflicted by the pandemic, most people choose to stay at home However, for those who enjoy exercising, missing a day at the gym can feel uncomfortable With Uniigym's 'AR Fitness x Uniigym' app, users have access to nearly 1,000 diverse exercise classes With a dedicated AI coach, users can exercise anytime they wish, while also tracking their fitness journey, and understanding their condition completely To encourage public fitness and fight the pandemic together, Uniigym has also collaborated with Chunghwa Telecom, offering free access to the 'AR Fitness x Uniigym' app for 30 days starting from now until the end of June, contributing to the public health effort Founded in 2019 by CEO Yu-Chieh Lin, Uniigym was conceived from the monotony and limited options of gym venues like fitness centers and school gyms, and low interaction with trainers The company aims to make exercising as fun as gaming through technological solutions, starting with their first product—an intelligent dynamic 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【解決方案】聲麥無線推出殺手級5G即時AI語音翻譯 降低5成口譯成本
VM-Fi launches killer 5G real-time AI voice translator that reduces interpretation costs by 50%

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【解決方案】洞悉消費者行為 智能演譯運用AI協助餐飲業順利轉型
Insight into consumer behavior and intelligent interpretation using AI to assist the catering industry with smooth transformation

In May 2021, due to the local COVID-19 outbreak, a ban on internal use was adopted, making the catering industry feel like it has entered a cold winter, with business bleak and operations facing difficulties However, there are also catering companies that have turned the crisis into an opportunity and actively carried out digital transformation, introducing online ordering and delivery platform systems, establishing customer membership systems, etc, to effectively reduce inventory and increase sales Intelligent Interpretation, a new start-up company established just one year ago, acts as a transformation consultant for the catering and retail industry, collecting, connecting and analyzing consumer behavior data to provide the best solutions for the cateringretail industry Li Qihan, the founder of Intelligent Interpretation, is good at online marketing and website construction As AI technology continues to evolve, he graduated from the Northern Phase II Manager Class of Taiwan Artificial Intelligence School AIA and was impressed by the large number of website sales Data and marketing analysis data can help companies improve their competitiveness and reduce operating costs Therefore, we established an intelligent interpretation company with Taiwan Artificial Intelligence School alumni, hoping to use member information to start collecting more first-party data to help customers build customer vision Analyze the data and identify relevant sales opportunities Targeting the catering and retail industries, intelligent interpretation helps stores use AI to transform "There are many small and medium-sized restaurants in Taiwan We hope to help these small and medium-sized restaurants use simple cloud services and social tools, such as Line, to start collecting and establishing member information systems and collect relevant information Consumption data is used to establish behavioral models of different consumers" Li Qihan went on to say that the catering and retail 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renowned catering chain Din Tai Fung to participate in the AIGO "Problem Solving" competition of the Industrial Bureau of the Ministry of Economic Affairs It understands that almost all catering industries have problems with how much to prepare Many times, when there are too many guests, there is insufficient preparation There are fewer customers, resulting in a waste of ingredients Therefore, it is very important for restaurants to predict the number of customers every day Intelligent interpretation suggestions can be based on weather, store location, and special holidays such as Valentine's Day, Mother's Day, etc through AI , special time parents’ birthday, wedding anniversary and other data correlation analysis, the estimated number of guests is expected to increase the accuracy by more than 80, effectively using AI to solve the problems of catering operators Restaurant Consumer Service Flow Chart Li Qihan pointed out that "industry problem solving, new innovation problem solving" can help enterprises and AI startups find common goals, and also solve the dilemma of new startups not getting usable data, and provide identification through matchmaking on the enterprise side Based on the data, AI startups can put algorithms into practical application, and enterprises can also get solutions for digital transformation, creating a win-win situation After the epidemic, digital transformation is related to the life and death of enterprises How should the cateringretail industry choose AI companies and introduce them Li Qihan, who currently serves as an AIGO smart retail coach for the Industrial Bureau of the Ministry of Economic Affairs and a number of AI consultants, said frankly that if data analysis does not have a certain degree of understanding of AI and practical implementation experience, there may be a high chance of failure in project execution In the retail industry, when it comes to choosing an AI project company, it is best to choose a company that has actually introduced AI projects or has experience in operating e-commerce The recommended principles and steps for introducing AI into the cateringretail industry are If the problem the company asks is too big, it needs to continue to dismantle it Because different problems naturally require different ways of collecting data, with the help of consultants step by step After dismantling, use the data collected according to the usage situation to analyze, and you will naturally get the answer to the problem you want to solve After you find a certain accuracy, you can then use transfer learning to solve similar problems one by one Looking to the future, Intelligent Interpretation hopes to become the number one AI company in Taiwan in the catering and retail industries, using simple and practical methods to help the catering and retail industries implement AI and improve the competitiveness of Taiwan's industry「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」