Inspection accuracy improved from 60% to 99% by developing a system using AI deep learning technology, resulting in a reduction of visual inspection errors.
We would like to introduce a case where we developed a mirror surface inspection system using AI deep learning technology in the product inspection process of Murakami Kaimeido Co., Ltd., which boasts a high market share in rearview mirrors. This development has achieved an improvement in inspection accuracy (from 60% to 99%) and reduced the burden on inspectors who previously conducted visual inspections. 【Problems with the Conventional Detection System】 ■ Difficulty in quantifying image color and other attributes ■ Ambiguity in standards due to human determination of thresholds ■ Inspection accuracy of around 60% ■ Final confirmation by inspectors through visual checks 【Effects After Implementation】 ■ After full-line implementation, the number of inspection workers was reduced by 70% ■ With an eye on overseas expansion, data obtained from the automation of inspections can also be used to optimize upstream processes *For more details, please refer to the PDF document or feel free to contact us.
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Rist Inc. is a company that develops and provides solutions and products using AI technology, primarily focused on the manufacturing industry, under the mission of "Bringing brilliance to the future of Japan through AI." We possess the technical expertise to address challenges unique to the manufacturing sector and develop custom solutions tailored to our clients' needs, including appearance inspection systems utilizing Deep Learning, data analysis, and predictive models. By mastering new technologies such as Deep Learning, which are being researched worldwide, we continue to challenge ourselves to solve the issues faced by our clients and society through the systematization of tasks that have traditionally been performed by humans and the accumulation and analysis of know-how.
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