AI models can be trained and uploaded into the system for qualified welding points. This enables AI inspection of welded sections using AR glasses or a tablet device to quickly recognize defective welds.

SolVision ensures a flawless 100% defect detection rate in just 49 milliseconds per bolt, addressing reflective surface challenges and eliminating false negatives.

Using AR glasses and our easy-to-operate wearable AI, operators are able to accurately identify PCB components and verify that they have been placed correctly.

SolVision transforms blister pack inspection, overcoming reflective material challenges to improve accuracy and efficiency in pharmaceutical production with AI.

SolVision AI recognizes defects and categorizes eggs, enabling automated egg quality inspection for enhanced food safety and quality control.

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

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.