Electronics

Based on deep learning technology, SolVision can determine whether a seal is intact by comparing a perfect packaging with potential variations

Streamlined LED visual inspection with AI SolVision features an Instance Segmentation tool designed to identify various mini LED defects through image processing.

Inspecting Safety Certification Marks. Solomon SolVision’s AI automated detection of defective certification marks .

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.

AI model can accurately identify errors in cable connections and eliminate substandard products in real time.

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.

A PCB can have dozens of different parts and configurations, and subtle differences may not be obvious to the human eye. Manual inspections are easily susceptible to missed or inaccurate detections and are hard to optimize

Overcoming traditional AOI limitations, Solomon’s SolVision quickly performs OCR without being affected by background or lighting conditions, complexity, or appearance of the serial number.