During gypsum board production, defects such as voids and lumps (appearing as hot spots and cold spots) can form. Left undetected, they affect the board’s overall quality.

Eigen’s AI vision system detects these defects in-line before boards enter the cutter  and dryer—saving energy, reducing waste, and minimizing the risk of faulty products leaving the plant.

Using thermal cameras and AI, it identifies temperature variations across any board width or thickness at speeds from 150 to 620 fpm. Results are consolidated in the OneView Cloud platform which displays defect size, location, and count trends for operators to access. Configurable warning/critical alarms are also available at the edge, which can be used with your PLC to trigger light stacks or audible alerts for corrective action.

Insights can be filtered by product type to help crews address issues quickly and maintain consistent quality.