Defect Detection

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

Using SolVision’s AI Inspection Solution, minute defects such as fine scratches can be located and marked on sample images to train the AI model.

Inspecting Safety Certification Marks. Solomon SolVision’s AI automated detection of defective certification marks .

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.

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

The optimization dilemma: a large number of defects Hard drive metal bases are vulnerable to many defects during production, from damages to the metal surface to incorrect shape or size.

Faulty wafers also usually have subtle defects randomly scattered on the surface, and this prevents AOI systems from setting rules for efficient inspections.

Excessive adhesive may remain on the chip or overflow on the circuit board and cause the chip to tilt, affecting stability of the whole semiconductor package.

As semiconductor manufacturing becomes more sophisticated, the process of creating lead frames needs to improve in accuracy and yield.