Defect Detection

The location, size and shape of cracks vary each time, and traditional optical inspection cannot accurately identify such unpredictable defects.

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

SolVision first defines assembly characteristics of each component on the PCBA, then trains the AI model to recognize them via image processing to inspect for defective components.

Through advanced image processing, SolVision can fully automate inspection processes to detect production flaws.

SolVision can locate and recognize the smallest defects and production anomalies on aluminum PCBAs through image processing.

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

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

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

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