
Online detection of appearance defects such as paint particles, sagging, and orange peel
Painting is a key process for the appearance quality of the vehicle. Machine vision performs online detection of defects such as paint particles, sagging, orange peel, and shrinkage holes, and cooperates with the self-developed AI algorithm Platform to achieve defect classification and severity grading, helping the coating line intercept and locate the repair station in time before defects flow out.

Identification of various types of defects such as paint particles, sagging, orange peel, and shrinkage holes
Defect classification and severity grading based on AI algorithm
High-dynamic imaging suppresses reflective interference and adapts to mirror paint
Defect coordinates are sent back to MES to guide accurate repair
Body in white weld joint inspection, robot guidance, weld seam tracking
High-speed full inspection of stamping parts for cracking, deformation, and missing hole positions
Assembly foolproof, tightening torque verification and component traceability
Defects and size inspection of pipes, O rings, and seals
Visual inspection of stator, rotor, shell appearance and assembly accuracy
Measurement of appearance defects and gap surface differences in bumpers, instrument panels, etc.
PCB solder joints, incorrect component omissions and character bar code recognition
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