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Post Requirements
Product information
The online quality inspection system for automobile sheet metal stamping parts automatically retrieves visual inspection formulas based on the model of the stamped workpiece. Through advanced robot vision technology, it integrates deep learning algorithms and image processing technology to simulate the human vision system to carry out comprehensive and high-precision inspection replaces personnel quality inspection, improves inspection reliability and stability, and effectively reduces the probability of defective products flowing out. At the same time, periodic manual random inspections can effectively prevent large-scale outflow of undesirable products.
Detection of defect types: It can accurately identify a variety of common defects of formed sheet metal parts, such as pits, crush, deformation, porous and few holes, cracking, wrinkling and other defects.
Inspection data management: Monitoring data can be automatically recorded and detailed quality reports can be generated, providing strong data support for quality traceability and process optimization of sound field processes.




















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