[Example] Quality inspection of inverter circuit boards for automotive parts.
This is an example of creating a threshold calculation program in Python and enhancing and automating it using statistical methods and machine learning.
We would like to introduce a case study of the quality inspection conducted by our company on automotive parts inverter circuit boards. We selected data for distribution estimation using an anomaly detection model, and performed distribution estimation and threshold calculation tailored to each inspection item using statistical methods. We created a threshold calculation program in Python that executes data preprocessing, anomaly detection, distribution estimation, and threshold calculation all at once. 【Case Overview (Partial)】 ■ Deliverables - Threshold calculation program - Logic consideration report ■ Man-hours - 3 person-months, Duration: 3 months *For more details, please refer to the PDF document or feel free to contact us.
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【Summary of Other Cases】 ■Challenges - For over 800 inspection items of parts, distribution estimation and threshold calculation are currently done manually using a proprietary method. - We want to enhance and automate this process using statistical methods and machine learning. ■Procedure - Data receipt → Logic examination → Parameter adjustment → Program creation → Reporting and delivery *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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【Company Introduction】 TechnoPro Design Co., Ltd. is a core company within the TechnoPro Group, the largest technical staffing service segment in Japan, boasting over 7,000 technical employees. We provide professional services such as engineering, contracting, and technical consulting, primarily in the manufacturing industry, focusing on technical areas such as AI/data science, control systems, mechanical design, and hardware and software development. We help our clients, including information industries, public and private research institutions, and university laboratories, solve a wide range of challenges they face. 【Provided Solutions】 ■ AI and Data Science ■ Cloud Services ■ Cybersecurity ■ Mechanical System Design ■ 5G/6G Networks