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.
For repetitive manual tasks such as in this case, an automated visual inspection can help identify defective products and improve workforce efficiency.
Small, spiral-surfaced metal parts can be inspected using SolVision’s Instance Segmentation tool to learn the different types of cut marks or collision faults from sample images, then building an AI model to recognize these subtle defects.
Powered by AI, Solomon SolVision can automate welding inspection processes by learning the different shapes and features of weld beads from sample images.
Powered by artificial intelligence, SolVision automates visual inspections for detecting production inconsistencies. By comparing real-time product images to a golden sample.
