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3D inspection at production speed for food safety

Objective

Diratech is developing Xensio, a next-generation 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 environments. The 18-month work plan combines technical validation, AI optimization, and pilot deployments with early adopters, supported by comprehensive business scaling and IP strategies. By significantly enhancing detection performance while reducing waste and false rejects, Xensio will directly strengthen food safety, sustainability, and regulatory compliance in line with EU Green Deal and Industry 5.0 objectives. Its modular and cost-efficient design will make advanced inspection accessible to both large and mid-sized manufacturers, positioning Diratech as a key enabler of Europe’s transition toward transparent, human-centric, and data-driven manufacturing.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-CSA - HORIZON Coordination and Support Actions

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Call for proposal

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(opens in new window) HORIZON-WIDERA-2025-02

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Coordinator

DIGITAL RADIOGRAPHY TECHNOLOGIES DOO BEOGRAD
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 496 212,00
Address
VELJKA DUGOSEVICA 54
11000 Belgrade
Serbia

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Србија - север Београдски регион Београдска област
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data