Case Study 2 of AI Image Inspection Service: Surface Inspection Process of Mirrors
We will introduce a case where our AI image inspection service improved inspection accuracy (from 60% to 97%) and reduced the burden on inspectors through visual inspection.
Rist developed a mirror surface inspection system using Deep Learning technology in the product inspection process of Murakami Kaimeido Co., Ltd., which holds the No. 1 domestic market share in rearview mirrors. This system achieved an improvement in inspection accuracy (from 60% to 97%) and reduced the burden on inspectors who previously relied on visual checks. 【Challenges】 ■ Difficulty in quantifying image color and other attributes ■ Ambiguity in standards due to human determination of thresholds ■ The need for inspectors to ultimately verify results visually We have addressed these challenges with our AI image inspection system. *For more details, please download the PDF document or feel free to contact us.*
- Company：Rist
- Price：Other
