[AI Implementation Case] Product Appearance Inspection System at Company A's Niigata Factory in the Manufacturing Industry
Achieving improved inspection speed and labor savings! A 27.8% reduction in man-hours is expected compared to conventional methods.
At Company A's Niigata factory, visual inspections of product appearance (determining pass/fail and identifying defects) are conducted manually, which is a time-consuming and labor-intensive task. Improving productivity and quality in this visual inspection process and streamlining the inspection is an urgent issue that needs to be addressed. A machine learning model (AI) was created to determine pass/fail and identify defects based on past product inspection images, and it has been implemented in the inspection process. This system has achieved improvements in inspection speed and labor-saving, with an expected reduction of 27.8% in man-hours compared to traditional methods. *For more details, please refer to the related link page or feel free to contact us.*
- 企業:メビウス 東京本社
- 価格:Other