We integrate non-destructive technologies such as NIR spectroscopy, hyperspectral imaging and IoT sensors to monitor freshness, composition and shelf life on the production line. Our intelligent data processing generates early warnings, enabling preventive action and reducing losses.
Traditional quality checks are often slow, manual and require part of the product to be destroyed. This increases costs, causes losses and limits the ability to take preventive action.
Sectors: Food sector, Manufacturers of machinery and industrial equipment, Technology 4.0
Research lines: Digitalisation, Food sustainability and eco-efficiency, One health
Research sublines: Digitalisation and artificial intelligence