The SpecularVision can automatically detect surface defects of painted body of different types of car. Based on the principle of 3D visual imaging, combined with advanced image processing and machine learning technology, the system can quickly and reliably identify defects and realize real-time detection, automatic classification and measurement of paint defects.
Usage
Applicable to the back end of the finish line drying room in the painting cell. Detect the surface defects after the finish is dried. The test results are used for the back-end workers or robots to sand and polish
Characteristics
Dirt defects (such as dirty spots, fibers, etc.) and deformation defects (such as shrinkage, pits, etc.) can be detected. The minimum detectable size is as high as 0.2mm, and the detection rate is more than 95%
Various color surfaces (including black, white, gray, red, blue, etc.) can be accurately detected
Support multi vehicle mixed line detection, and no additional hardware is required for new vehicles
Customized grinding data interface, able to combine with automatic grinding and polishing system
The defect data is stored in the database in real time, and statistical reports are generated to quickly locate the defect source, optimize the coating process, improve the coating quality and reduce the defects from the root
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