SolVision

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

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 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.

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.

Powered by AI, Solomon SolVision can automate welding inspection processes by learning the different shapes and features of weld beads from sample images.