Defect Detection

Powered by AI, SolVision deep learning software trains an AI model by simulating potential weld bead defects in random brightness conditions.

SolVision enables visual inspection through AI image analysis, strengthening the reliability of displacement and angle information to recognize defective products and errors in the die bonding process.

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.

Streamlined LED visual inspection with AI SolVision features an Instance Segmentation tool designed to identify various mini LED defects through image processing.

With AI-based SolVision, production imperfections on club heads can be detected no matter their size, appearance, or location.

The AI model can be trained to accurately detect and locate the defects on the drywall to improve product quality and production yield.

SolVision detects and analyzes transparent syringe parts of various textures and shapes which are typically too difficult for AOI systems to inspect.

SolVision locates and recognizes the smallest defects and production anomalies in aluminum PCBAs through image processing.

Using SolVision’s Instance Segmentation tool, irregular lines and multi-drilling defects are labeled in sample images to train the AI model.