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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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【解決案例】神經元科技 動鑑觀顫 以眼為始 最佳智慧醫療輔助者
Neuron Technology, moving and observing, starting with the eyes, the best smart medical assistant

Looking around the world and in Taiwan, the number of patients suffering from vertigo is increasing year by year When faced with vertigo testing, most people will choose to have it diagnosed by a doctor or hospitalized with neuromedical imaging tools such as MRI or CT for interpretation However, this may lead to misdiagnosis of vertigo, overdiagnosis of patients, waste of medical resources, etc, and cannot be effectively traced back The actual condition of the patient's dizziness In order to solve the long-term clinical pain point of vertigo, Neurobit has developed a smart wearable medical device - NeuroSpeed smart glasses and an AI assistance system It provides an AI smart solution for rapid screening of vertigo, assisting doctors in quickly screening more than 80 of brain diseases Efficient detection power with accuracy and sensitivity of over 90 Neuron Technology was founded in 2016 The co-founders include Yang Juncheng, Chen Weicheng, Huang Jinxun and Wang Jingfu The four of them were studying at the National Taiwan University Medical Engineering Institute and the Creative Entrepreneurship Program to jointly offer the "Biomedical Innovation and Commercialization" course Next, let’s embark on the entrepreneurial journey together The core team members of Neuron Technology are mainly composed of cross-field experts in medical engineering, information technology, neurology, patents, business, etc The common entrepreneurial concept is to continuously explore and explore unsolved pain points in medical clinical practice Seeing that patients were suffering from vertigo, Neuron Technology invented and independently developed an efficient and practical wearable smart medical device, NeuroSpeed Smart Glasses, which combines hardware AI-assisted decision-making system software to provide an AI smart solution for rapid dizziness screening Neuron Technology CEO Yang Juncheng said that the proportion of people in Taiwan and the world who suffer from vertigo is very high In Taiwan, as many as 3 of the people about 700,000 suffer from vertigo, while in the United States, about 1,000 people suffer from vertigo Tens of thousands of people go to see a doctor due to vertigo From the data, it can be seen that the vertigo medical care market is quite huge Regarding rapid screening for vertigo diagnosis in the clinic, current rapid screening tools in hospitals mainly use neurological examinations, and most of them are processed through questionnaire-type scales The diagnosis will rely too much on the patient's chief complaint and the doctor's experience judgment, and lacks quantitative indicators, resulting in Misdiagnosis of vertigo and loss of golden treatment time For patients with vertigo who are admitted to the emergency department, medical diagnosis in the past relied heavily on neuromedical imaging tools such as computed tomography CT or magnetic resonance imaging MRI After observation, it was found that the equipment was insufficient In the United States, the number of patients admitted to the emergency department Less than 3 of the population can receive immediate MRI diagnosis, and less than 50 can receive CT diagnosis However, excessive use of CT or MRI diagnosis may lead to overdiagnosis and treatment of patients, and even waste of medical resources In order to help vertigo patients accurately and efficiently screen and triage and reduce over-diagnosis in clinics and emergency rooms, NeuroSpeed Smart Glasses, a wearable smart medical device developed by Neuron Technology, is believed to have a great impact on the overall application of medical resources and patient diagnosis and treatment It is very helpful Yang Juncheng said that if it is not necessary to use MRI to track the diagnosis, this device can be used as a rapid screening test before the existing MRI neuroimaging tools and after the patient is admitted to the hospital, reducing over-diagnosis of patients NeuroSpeed's examination method is to quickly screen for nystagmus to identify patients with potential brain diseases The examination method of this technology is to observe the trembling state of the eyes and a series of eye movements when the subject is staring at a stationary object, so as to judge Brain risks for appropriate diagnosis and treatment NeuroSPeed smart glasses can crack brain and eye diseases, clinical trial sensitivity reaches 90 With the active research and development of Neuron Technology, two generations of NeuroSpeed smart glasses have been successfully launched The first generation NeuroSpeed mainly provides doctors with real-time observation of high-quality eye images and eye movement response-related examination data reference, and does not provide auxiliary diagnosis services The second generation of NeuroSpeed allows physicians to record, track, store and view relevant eye movement analysis and pupil area identification, thereby effectively diagnosing diseases of the central, meridian and peripheral nervous systems Because the second-generation NeuroSpeed product has the function of assisting doctors in analysis and diagnosis, it has been classified as a Class II medical device in the United States and must be certified by the US FDA before it can be sold externally At this stage, this product has completed pre-submission and will be submitted for review after the biocompatibility test is completed It is expected that the second generation NeuroSpeed will successfully obtain US FDA certification next year In terms of actual verification fields, NeuroSpeed has currently cooperated with New Taipei Shuanghe Hospital and Taichung Tzu Chi Hospital for clinical verification Its clinical results have confirmed the classification judgment of central nervous system diseases such as stroke and other vestibular system diseases With the addition of NeuroSpeed Smart glasses are designed to be lightweight and easy to carry, detect quickly and easily, and have the functional characteristics of automatic interpretation They can effectively assist doctors in quickly screening for potential brain disease risks in patients with vertigo Field verification with foreign medical centers mainly involves vertigo patients admitted to the emergency department Physicians can use NeuroSpeed smart devices to interpret the phenomenon of stroke diagnosis Currently, the accuracy of clinical trials in the above-mentioned cooperative hospitals reaches 80 and the sensitivity reaches 90 Neuron Technology develops smart wearable medical device NeuroSpeed smart glasses In addition to becoming the best smart medical assistant for doctors to quickly screen brain disease risks in the clinic and emergency department, NeuroSpeed smart glasses also assist doctors in the detection and assessment of strabismus risk They are jointly developed with the Tri-Service General Hospital through neuron technology The "Portable Strabismus and Abnormal Eye Movement Diagnosis System" is implemented in the Tri-Service General Hospital, providing 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Technology, the current NeuroSpeed instrument and strabismus and abnormal eye movement diagnosis system software can integrate objective and clear eyeball images, eye muscle function and eye deviation angle data as a rapid test that meets clinical diagnostic criteria Service, the data of these tests can be used as the basis for doctors’ complete preoperative assessment and postoperative tracking of strabismus Therefore, this system can provide objective and effective quantitative analysis, which can greatly reduce the medical risks of patients during surgery In terms of business model, Neuron Technology mainly cooperates with hospitals to sell research-based products It is believed that the company expects to have significant revenue performance after passing the FDA next year At present, Neuron Technology will use the country's first wearable smart medical device NeuroSpeed smart glasses and AI assistance system to provide software and hardware integrated solutions to assist doctors in quickly screening brain diseases and eye diseases, extending patients' golden treatment time and reducing social risks health care costs to create a triple win NeuroSpeed smart glasses assist doctors in quickly screening brain and eye diseases Looking at the world, the pioneer of smart medical equipment, a new paradigm of biomedical software and hardware system integration In the early days of Neuron Technology’s entrepreneurship, technology research and development and business expansion faced many challenges Yang Juncheng expressed his sentiments that since the NeuroSpeed product is the first medical smart glasses developed in China, both in terms of obtaining hardware raw materials and developing technical specifications, The challenges associated with building and integrating related systems are higher than those for consumer electronics Additionally, bringing together cross-disciplinary talent and integrating it into a core team is also an entrepreneurial challenge In terms of business development, although the company has accumulated clinical verification results and published related outputs, the establishment of market channels still requires continuous efforts to expand It is hoped that it can continue to rely on the assistance of legal persons such as the Capital Strategy Council to actively create more diversified market channels and connect potential Cooperating manufacturers In order to accelerate international expansion and market operation exchanges, the company will conduct a new round of fundraising planning at this stage to meet development Since its establishment, Neuron Technology has taken long-term development and stable profits as its operating goals Yang Juncheng said that in addition to focusing on existing professional fields, we also develop and apply value-added products through the company's software development and software development The accumulated RD energy of hard integration is expanded to other medical disciplines and fields Yang Juncheng hopes that Neuron Technology can become a pioneer in smart medical equipment, with research and development oriented to meet the needs of users and patients, and also hopes to become a model for the integration of biomedical software and hardware systems For the medium and long-term layout, the company will promote industry-university exchanges and cultivate biomedical talents integrate upstream and downstream industry resources to create smart medical solutions and platforms and actively explore foreign sales markets such as the United States and Europe as a basis for sustainable development of the company Vision 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】瑕疵辨識率達百分百 耐銳利科技獲面板大廠青睞
Defect identification rate reaches 100%, Nairi Technology is favored by major panel manufacturers

On the machine tool production line, there are some slight differences in the first step of assembly Accumulated tolerances will cause the assembly work to be repeated, which is time-consuming and labor-intensive, resulting in shipment delays that will impact the company's reputation Narili Technology Company focuses on the field of smart manufacturing and provides various AI solutions It uses machine learning models to inherit the experience of old masters In the CNC processing machine assembly and casting process, it uses AI to analyze production line data, accurately adjust various data, and improve Production accuracy is 25 This AI production line data analysis system is called "Master 40" by Huang Changding, chairman of Naruili Technology It is the most evolved version of the master plus artificial intelligence It has been used in machine tool processing factories with remarkable results In addition, Nairi Technology used AI defect detection technology to participate in the 2021 AI Rookie Selection Competition of the Industrial Bureau of the Ministry of Economic Affairs, assisting AUO in advanced panel image defect detection, with an accuracy rate of 100, and won the award Assisted panel manufacturer AUO to solve problems with 100 accuracy in defect detectionHuang Changding further explained that during the production of general panels, edges and corners are There may be defects in the corners Although the defects are visible to the naked eye, AOI is often difficult to identify, causing the detection error rate to often exceed 30 Therefore, re-inspection must be carried out with manpower to improve the accuracy rate However, in response to the demand for a small number of diverse products and insufficient manpower, using AI detection is indeed a good method Nairui Technology, founded in 2018, has been able to win the favor of major panel manufacturers with its AI technology in just three years In fact, it has been honed in the field of CNC machine tools for a long time Tang Guowei, general manager of Narili Technology, pointed out that the top three CNC machine tool factories in Taiwan hope to introduce AI into the two production lines of assembly and casting Among them, on the assembly line, in order to maintain the accuracy of assembly, every part of the component is designed Tolerances are designed During assembly, each component is within the tolerance However, the cumulative tolerance still fails the final quality inspection and must be dismantled and reassembled This is not only time-consuming and labor-intensive, but also causes waste "After entering the production line, I realized that some masters have accumulated a lot of experience and are good at adjustment After his adjustment, the accuracy rate has improved a lot and the speed is faster" On the contrary, the new engineers did not Based on experience, it takes a long time to adjust and may not pass the quality inspection The yield rate of Master 40 system has increased significantly from 70 to 95Tang Guowei then said that the original size data set by Master during assembly All were recorded on paper After the information was written, it was stored in the warehouse and sealed No one studied the relationship between the dimensions Narili assists customers in designing the Fu 40 system Through the human-machine panel, the master can directly input the measured dimensions and related data during assembly After collecting data from different masters, AI algorithms are used to analyze the relationship between the data and create an AI model The AI model automatically notifies the operator what size to adjust to, and the quality inspection will definitely pass In this way, the yield rate will be improved It has increased significantly from 70 to more than 95 Narili Technology Company focuses on the field of smart manufacturing and provides various AI solutionsTang Guowei added, assembling the spindle of a CNC processing machine It took four hours In the first step, the machine made measurement errors, including vibration, temperature, speed, etc that were out of range It had to be dismantled and reinstalled, which took another four hours How to adjust after disassembly depends on the experience of the master At first, the master may have done the best assembly method based on experience, but the error rate was also 30, and the assembly took several days With the assistance of AI masters, the assembly time only takes half a day, and the yield rate reaches over 95, saving a lot of time and manpower "Use the AI model of machine learning to collect the experience of all the masters and provide it for AI learning The first step is digitalization, and the second step is knowledgeization This is the transformation of the enterprise "An important key", Huang Changding believes that Narili Technology is an important partner in the transformation of traditional manufacturing from automated production to digital transformation In addition, another industry that Naili Technology focuses on is the smart car dispatching system of the leading brand of elevator manufacturers The so-called car dispatch referring to the elevator car means that if there are more than two elevators, group management is required In the past, car dispatching was based on fixed rules If the elevator was closer to the requested car, that elevator would be automatically dispatched On the one hand, it did not take into account that dispatching a car if the elevator was called too many times might make other people wait longer The previous vehicle dispatching model did not take into account the usage characteristics of the building, resulting in a lot of waste For example, in an office building, there are peak hours in the morning, lunch break, and afternoon after work AI smart car dispatch can be flexibly adjusted according to off-peak and peak hours, increasing the efficiency of car dispatch, reducing waiting time, and reducing wasted electricity Introducing elevator smart dispatch to improve transportation efficiency and have environmental protection functionsHuang Changding added that just like the previous traffic lights at intersections, the system has already The number of seconds to stop and pass on highways, sub-trunks and small streets is programmed Smart traffic lights are now used to flexibly adjust waiting times to make road sections prone to congestion smoother Using AI to learn usage scenarios and introducing a smart dispatch system into elevators will improve transportation efficiency and make it more environmentally friendly In addition to introducing smart elevator dispatching, Nairili also introduced AI into the smart production and shipment scheduling system of elevator factories Elevator factories often cannot accurately estimate the customer's elevator delivery date For example, office buildings or stores must be completed to a certain extent before the elevator can be installed on the construction site If affected by unexpected factors such as delays in the customer's construction period, the elevator factory will often be idle or the schedule will be difficult to arrange Tang Guowei pointed out that generally those who understand the progress of client projects may be from business or engineering, but overall, the accuracy rate of shipments is only about 60, which means that 40 of them will not be shipped as scheduled Therefore, if the shipping schedule can be accurately estimated, the production line can be freed up for emergency orders or other product production needs The AI smart scheduling system will analyze past shipment data, about 20-30 parameters such as climate, distance between the factory and the construction site, and customer credit, and put them into the AI algorithm to accurately predict whether shipments can be made as scheduled goods Huang Changding also specifically stated that the machine learning of Naili Technology is not ordinary machine learning, but also incorporates various calculation methods such as traditional image processing technology and statistics Only by being very familiar with the domain knowledge can we make good products AI models are also where the company’s competitiveness lies He emphasized that the data that general SaaS platforms can process is very limited, and the accuracy rate has increased from 70 to 75 at most Naili’s strength lies in AI algorithms and machine learning, and it must be coupled with in-depth industry knowledge to produce output Good AI model Narili Technology started with the AI project, gradually deepened the technology, chose to start with the more difficult tasks, and accumulated rules of thumb It is expected to develop SaaS services this year 2022, based on customer needs starting point, gradually gaining a foothold and becoming an important partner in smart manufacturing The picture left shows the general manager of Naruili Technology Tang Guowei and Chairman Huang Changding right「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」