Semiconductors

Explore how META-aivi optimizes waste management with AI, reducing errors and avoiding contamination while enhancing the efficiency of plastic parts recycling.

Machine vision is utilized to perform Optical Character Recognition (OCR). This information is sent to the cloud to create an inspection report, allowing plant operators to easily monitor facility inspection through mobile devices.

SolVision employs AI to enhance IC tray inspection, ensuring precise detection and elevating quality assurance standards in the semiconductor industry.

Using SolVision’s AI Inspection Solution, minute defects such as fine scratches can be located and marked on sample images to train the AI model.

SolVision AI detects BGA soldering defects, improving inspection consistency, accuracy, and inline quality control in PCB and semiconductor production.

Using SolVision’s AI Inspection Solution, minute defects such as fine scratches can be located and marked on sample images to train the AI model.

Solomon SolVision’s Feature Detection tool first learns the position of the tray, then performs OCR with more flexibility than AOI systems.

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

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.