Stamping parts visual appearance inspection scheme

There are many types of sheet metal quality NG in the stamping workshop, including defects such as cracking, strain, scratch, crush, burr indentation, pitting, concave/bald spot, more/less holes, depression, wrinkle, slip, and so on. There is no fixed standard for manual visual detection.

There are many kinds of workpieces and complex shapes, and problems such as false detection, missed detection and over-inspection are easy to occur when relying on manual detection, resulting in the outflow of defective products.

For manual inspection, the on-site production quality cannot be quantitatively evaluated, and it is difficult to trace the cause of NG workpiece quality.

In this regard, SipTEC has developed high-speed online visual inspection equipment for parts in the stamping shop. The above defects are identified and detected, and the dimensions of various defects are automatically measured.

High-speed on-line visual inspection equipment for parts is a kind of equipment specially used for real-time inspection of the appearance quality and defects of parts. Real-time inspection of the appearance of parts on the production line ensures efficient production and immediate feedback. High-speed online visual inspection equipment for parts is usually integrated with the production line to achieve automated inspection and quality control. Automatic identification of defects, defects or problems to improve inspection efficiency. A variety of inspection functions, including defect detection, size measurement, color detection, text recognition, etc., to meet the inspection needs of different parts. Flexible configuration and quick adjustment function, can adapt to different types and specifications of parts, improve the adaptability of the production line. Data logging and management features that record test results in real time, generate reports, and support data traceability help in quality analysis and continuous improvement of production processes. The use of advanced artificial intelligence algorithms and deep learning technology can more accurately identify defects and problems on the surface of parts.

Help enterprises improve production efficiency, reduce scrap rate and cost, ensure product quality meets standard requirements, and improve customer satisfaction.

Test case

Detection content: surface scratch, bottom crush, side crush, deformation and other appearance defect detection.

Detection effect

Surface scratch

Crushed injury