Taking the production of automotive parts as an example, the rate of manual quality inspection omissions has been consistently high. After a certain automotive parts factory introduced the Lugscher Luose intelligent identification visual inspection machine, the situation was greatly improved. Due to the fatigue caused by long-term work, manual quality inspection has a missed detection rate of about 15%. However, the Lugscher visual inspection machine uses advanced image recognition technology to accurately identify product defects and control the missed detection rate within 1%. According to calculations, the automotive parts factory saves up to 500000 yuan in quality inspection costs annually.

By automating the inspection process, not only has the product quality been improved, but the rework and scrap costs caused by missed inspections have also been reduced.