Anomaly Detection: Automated Quality Assurance in the Food Industry

In a blog article published by MVTec Image Acquisition Partner HD Vision Systems, MVTec product manager Mario Bohnacker explains how the machine vision technology anomaly detection can be used to precisely detect defects and generate added value.

More than almost any other industry, the food industry depends on safe and high-quality products. MVTec Software GmbH offers a practical solution for this: the machine vision standard software HALCON with its deep-learning-based anomaly detection. This enables the precise detection of defects, contributing to the end-to-end automation of inspection processes. Food producers can thus increase their productivity and save costs.

In his guest article, Mario Bohnacker, Technical Product Manager for the standard software HALCON at MVTec, explains exactly how this works and how HALCON can be put to good use.

Click here to read the article