AI Inspection of Stamped Metal Parts

Classification and positioning of metal surface defects

Stamping process of electronic and mechanical products

Stamping is a metal processing method that relies on pressure tools and molds to deform or separate metal pieces to required shape and size. During stamping, the surface of the metal cannot be damaged so that it remains suitable for spray painting, electroplating and other processes. However, the production environment and random factors can create minor imperfections on stamped parts such as corner burrs, dirt, water stains, indentation, and scratches that need to be detected immediately to facilitate subsequent processes.

Quality control and obscure defects

There are many types of defects that may appear differently each time on the stamped parts, in particular oil or water stains, which are not easily detected. Brightness levels during image acquisition can also vary, which makes implementing traditional inspection systems challenging.

AI enabled defect detection with SolVision

Using SolVision’s Segmentation tool, an AI model can be trained using images of different defects in varying brightness to develop an inspection system that can easily detect defects on stamped metal parts, and improve the surface quality before further processing.

AI Inspection

Defect classification

Blue Oil stains, water stains

Green White defects

Orange Scratches 

Yellow Burrs and dents


Metal processing defect detection case


Metal processing defect detection case


Metal processing defect detection case


Metal processing defect detection case
Related Posts
  • Multi Colored Plastic Round Toy

    Automated Visual Inspection of Yarn

    Using AI-powered SolVision, the AI model is capable of identifying flaws quickly and accurately to improve detection rates and production yield, while reducing the burden on manual inspection.
  • Defect Inspection of Metal Casings Using AI

    SolVision elevates quality control in electronics with AI capable of defect detection and classification of metal casings that have reflective surfaces.
  • multicolored electronic part

    AI Inspection of Power Supply Unit Cables

    AI model can accurately identify errors in cable connections and eliminate substandard products in real time.
  • AI Quality Control for Medical Masks Manufacturing

    SolVision’s deep learning inspection software reduces the number of defects to almost zero during medical mask production