AI-powered X-ray analysis for more targeted cargo inspections
CARGOSCAN helps customs officers identify suspicious items in X-ray images of road, rail and sea cargo. Acting as an intelligent co-pilot, it analyses images in real time and flags potential risks for review, helping officers focus their attention where it matters most.
Focus expertise where it matters most
Cargo inspection requires careful judgement. CARGOSCAN supports that judgement with automated image analysis, helping customs teams identify potential risks and prioritise further checks.
Identify suspicious cargo sooner
Automatically flag suspicious items in X-ray images to help officers locate areas requiring closer inspection.
Make better use of officers’ time
Support image review with AI, giving officers more capacity to assess flagged findings and complex cases.
Support the flow of legitimate trade
Help teams target inspections more effectively, with the aim of reducing unnecessary delays for compliant cargo.
Build on your scanning infrastructure
A hardware-agnostic approach enables integration with X-ray scanning equipment from different manufacturers.
From X-ray image to informed action
1. Analyse
CARGOSCAN uses AI to analyse cargo X-ray images for suspicious items.
2. Flag
Potential risks are identified for closer review, directing the officer’s attention to relevant findings.
3. Assess
The officer reviews the findings and decides whether further inspection is needed. CARGOSCAN provides decision support; the officer retains control.
AI analysis across cargo inspection environments
CARGOSCAN supports the analysis of X-ray images of road, rail and sea cargo. Its hardware-agnostic design provides a basis for introducing AI analysis across different scanning environments.
Talk to our team about your scanner equipment, image formats and inspection workflow to explore how CARGOSCAN could fit your operation.
Bring AI into your cargo inspection workflow
Looking to strengthen cargo screening with automated X-ray image analysis? Discuss your inspection priorities, existing equipment and integration requirements with the Novian team.
