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The food industry encompasses the production, processing, packaging and distribution of food and beverages.

Food manufacturers should use Vision AI to ensure the quality and safety of their products, increase the efficiency of their production processes and improve compliance with regulations. Vision AI can perform automated quality checks by identifying faulty or contaminated products, ensuring consistency in size and shape and detecting foreign bodies or contaminants. Vision AI also supports the optimisation of packaging processes and reduces waste through precise monitoring and error detection in real time.

With our no-code platform, you can quickly achieve higher productivity, safe production without foreign objects and comply with your optical standards.

Higher productivity, food safety and customer satisfaction.
Foreign particle detection

Foreign particle detection

Using Vision AI, foreign particles on, in or between the food can be identified in real time. Unwanted materials (glass, metal, wood, stones, organic foreign bodies, etc.) can be recognised and classified. These automated visual inspections can be carried out on both unpackaged and (semi-)transparently packaged food. If high-resolution cameras are used, even small particles can be detected.

Sorting processes

By using advanced image processing technologies, food can be precisely sorted according to size, shape, colour and quality. This makes it possible, for example, to sort out inferior or damaged products at an early stage and ensure that only high-quality goods leave the production line. Products can be reliably sorted according to ripeness, deformation or individual criteria. This not only reduces waste, but also improves the consistency and quality of the end products.

Sorting processes
Checking labels and expiry dates

Checking labels and expiry dates

In the food industry, the accuracy of labelling is crucial to ensure that all information is correct and compliant. Vision AI helps to check labels quickly and accurately by detecting errors such as incorrect content information, incorrect best-before dates or incorrect allergy information. By using Vision AI, companies can ensure that all labels meet high quality standards and provide consumers with the correct information. This minimises the risk of costly recalls and at the same time protects customer trust in the brand.

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