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【2020 Solutions】 Spingence - High-speed AI defect detection platform for passive components improves production line efficiency by using machines to replace manual inspection

Inspection is an important part of maintaining quality in all factory production lines. However, manual inspection is traditionally used to inspect the appearance of products for defects. Visual inspection is not only prone to errors, but also requires high labor costs. Spingence implemented AI technology into the inspection system and developed a high-speed AI defect inspection system for passive components, hoping to greatly improve the speed and efficiency of the inspection process.

Focusing on automation software development to improve production line inspection efficiency

Spingence focuses on software design, development and sales. It has a comprehensive and easy-to-understand automation development platform. It uses the automation graphical platform LabVIEW and high-end software to provide evaluation planning for automation projects, including robotic arms, machine vision, and motion control equipment, in hopes of changing the existing automation software model through various implementation cases and experience. It provides a production line inspection platform that can be quickly introduced and is easy to use, which helps major companies improve the automation process of their production line.

▲ Spingence focuses on software design, development and sales, provides a production line inspection platform that can be quickly introduced, and assists major companies in improving the production line automation process. (Source of image: Spingence)

At the recent AI HUB conference, Spingence displayed its high-speed AI defect inspection system for passive components. As the name implies, the inspection system introduces AI technology to make the entire production line more efficient. The reason for developing the equipment is because most factories used to use manual inspection of the appearance of products for defects, but long hours of manual inspection will result in a decline in work quality. In addition, as more components become smaller and production speeds increase, it will become unbearable to the human eye. This is why we hope to use the power of technology and use high-resolution cameras and high-performance imaging software to make inspection work of the entire process more efficient.

Rapid recognition and self-learning meet the high-speed inspection requirements of production lines

The high-speed AI defect detection system for passive components can easily complete automatic process editing and arrangement based on different hardware configurations, and also provides optimized models. Its speed can reach 1,200 pieces per minute with missed detection rate below 50ppm. More importantly is the flexibility of configuration, in which different edge devices can be selected according to customers’ cost and speed requirements. Of course, there is no problem in mixing them. Taking the defect detection demonstrated on site as an example, the integrity of glue dispensed on the white platform is detected. If traditional AOI algorithm is used, the surface of the glue may reflect light due to ambient light, leading to many misjudgments. However, if the automatic learning characteristics of AI neural network are used, then it will be able to stably differentiate between reflection and defects from incomplete dispensing.

Samsoft's Passive Component High-Speed AI Defect Inspection Device display image

▲ The high-speed AI defect detection system for passive components can easily complete automatic process editing and arrangement according to different hardware configurations. Highly flexible configurations can be built according to customers' cost and speed requirements.

To build a network model with high accuracy, it not only requires long-term training, but also optimizes parameters for different products. Spingence has highly optimized the algorithm in embedded devices, allowing the high-speed AI defect detection system for passive components to inspect thousands of objects in just one minute, meeting the high-speed detection requirements of production lines. Image recognition has become the most important application of AI, especially in defect detection on production lines. AI has fast recognition and self-learning functions, which can more significantly improve overall implementation benefits.

The software platform and technology of Spingence have been certified by many partners, and the introduction of automation into factories has become a trend in recent years. Due to the differences in the design of each production line, automation must be highly customized work. As more resources are invested in the future, Spingence also hopes that this automation software platform will provide customers with more diverse solutions and help companies easily move towards Industry 4.0.

Spingence's official website

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【解決方案】小柿智檢 以「AOIAI」雙劍合璧,軟加硬體千錘百鍊 打通外觀瑕疵檢測任督二脈
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 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 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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 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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」