Defect Detection

SolVision optimizes PCB assembly inspection with AI, enhancing accuracy, reducing errors, and boosting efficiency with our rapid learning AI vision system.

Using AI-powered SolVision, the AI model is capable of identifying flaws quickly and accurately to improve detection rates and production yield, while reducing the burden on manual inspection.

SolVision can be trained to recognize different types of stains and mildew. The software’s tool learns the location, color, and features of defects to identify them automatically in real-time on the cleaning production line

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

SolVision detects defective electrodes on passive electronic components to significantly improve overall production yield

Automated defect detection with artificial intelligence. Visual Inspection of Semiconductor Carrier Trays.

Using Solomon SolVision’s Instance Segmentation tool, all kinds of colored and patterned ribbons can be inspected to locate different defects big or small.

After being trained with a small set of sample images, Solomon SolVision can identify defective products in real-time.

SolVision revolutionizes rubber injection molded parts inspection with AI for precise defect detection, ensuring improved quality control through deep learning.