SolVision

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.

SolVision’s superior recognition capabilities ensures that OCR of bicycles can be accurately carried out regardless of how the identification numbers look or light refraction levels.

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

Deploy SolVision’s advanced AI model to identify and classify cells where traditional AOI systems are insufficient in detecting and determining cell variations.

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

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

The Anomaly Detection tool uses deep learning technology to teach the AI model sample images of “perfect” wafers.