FOREIGN OBJECT DETECTION

Ensure food and beverage products are contaminant-free

Foreign object inspection

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Contamination and foreign material, such as dust, particles, hair, or conveyor chips, are still major causes of product recalls in the food and beverage industry. Ensuring consistent product quality control with little operator intervention enhances and preserves brand reputation while maximizing productivity and investments.

Relying on human quality inspection can be costly, particularly when looking for foreign matter in high-speed production environments. Operators are required to perform mundane and repetitive tasks such as looking through microscopes on a workbench. Due to the variation in product and potential sources of foreign objects, traditional machine vision is time-consuming to develop and optimize for an operator-dependent inspection.

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Cognex AI-based technology locates, analyzes, and classifies complex contamination issues in real time to stop foreign matter from entering the food supply chain on high-volume lines. Deep learning combines human-like inspection capabilities with the automation, scale, and repeatability of a computerized system. This can be augmented by using robotics to ensure machine handling and vision tools work together to inspect the most complex occurrences of foreign objects sometimes missed by operators. The end result is fewer recall events, lower rework costs, full product image capture, and traceability.

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