MID+AI "High Precision Inspection System for Automotive Paint Quality
The system enhances the presentation of defects through pixel by pixel modulation technology. It can effectively capture the changes in reflected light on a single pixel, thereby amplifying the contrast effect between the defect area and the normal vehicle background, and obtaining a clear image containing complete defect information.
By utilizing core algorithms, the system eliminates the influence of vehicle color information and external light interference information in the light intensity decoding process, achieving clear imaging of panchromatic vehicle bodies.
The system has the functions of identifying, locating, and classifying paint defects.
The detection accuracy exceeds 97%, the missed detection rate is less than 3%, and the minimum detectable defect size is 0.3 millimeters.
The detection cycle is between 50 seconds and 70 seconds.
The system is capable of detecting all minor defects in the car paint surface, including particles, fibers, shrinkage cavities, sheet metal, external injuries, sagging, paint pits, bubbles, dirt, etc.
The use of time-series encoding light source detection technology has improved the sensitivity of detection.
The application of robot flexible detection technology ensures the compatibility of the system with multiple vehicle models.