SOURCE-LINKED INTELLIGENCE

3D inspection at production speed for food safety

CORDIS · observation · Publication date unknown

ion AI-powered X-ray inspection platform that redefines industrial food safety and quality control. The system uniquely combines few-view 3D imaging, photon-counting spectral detection, and cognitive artificial intelligence to achieve real-time contaminant detection at production speeds of up to 20 m/min. Unlike conventional 2D or dual-energy systems that detect only dense materials, Xensio provides volumetric, 3D-like insight that enables reliable identification of low-density contaminants such as plastics, rubber, bone, and glass-in-glass within complex and multilayered products. Its adaptive, physics-grounded AI engine integrates spectral and spatial analysis, continuously learning from operator feedback to improve accuracy, transparency, and trust. This explainable, human-in-the-loop approach transforms X-ray inspection from a rigid, expert-dependent process into an intelligent, scalable, and accessible technology. The project will advance Xensio from TRL 4 to TRL 6 by demonstrating inline few-view photon-counting CT imaging with cognitive AI interpretation in real industrial en

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

496212

unit

EUR