By transitioning from legacy single-technology systems to multi-layered inspection processes, manufacturers can minimize recalls, reduce waste and safeguard their brand.
Today’s vision systems are more powerful than their earlier counterparts, and many processors choose to use vision, X-ray and metal detection systems to meet regulatory demands and ensure quality.
Upgrading older vision systems often means an upgrade in control systems as well to get the most out of inspection systems, which now employ AI to make snap quality judgments that humans can’t do time after time.
Califia’s V31 vision inspection system is equipped with three cameras for identification and removal of high caps, damaged caps, broken shrink bands and other closure issues.
The system includes cameras, AI software, a conveyor and automatic ejection mechanisms with dual drops (one for foreign material, one for culls) to ensure only ideal potatoes reach later process stages.
AI looks to be a panacea for making better inspection choices, but knowing specifically what the inspection criteria should be needs to be in place before employing an AI-based system.
AI looks to be a panacea for making better inspection choices, but knowing specifically what the inspection criteria should be needs to be in place before employing an AI-based system.
Machine vision technology is emerging as a transformative force in driving productivity, enhancing quality control and revolutionizing packaging inspection processes.
The company has divested its gripper business assets to the Schmalz Group to focus its resources and expertise on advancing the commercialization of its end-to-end visual AI solutions.