The Danlex innovation team presented a White Paper on AI-Driven Maintenance for Non-Intrusive Inspection (NII) equipment at the recent World Customs Organization (WCO) Technical Experts Group on Non-Intrusive Inspection (TEG-NII) meeting, held on October 1st in Brussels.

This comprehensive White Paper outlines how the advanced AI-driven maintenance solution (AI-MS) can streamline maintenance workflows by replacing outdated reactive maintenance models with proactive, data-driven strategies. The new approach is already being deployed at several international airports and customs authorities, showcasing its practical application and efficiency.

The solution, PM4X LPR, monitors X-ray systems in real-time, using condition and predictive models powered by AI and ML algorithms to analyze data and provide actionable insights for service specialists. These insights enable organisations to prevent equipment downtime, reduce maintenance costs, avoid unscheduled repairs, and extend the lifespan of critical NII system components.

During the TEG-NII meeting, the presentation featured use cases demonstrating how this AI-driven maintenance solution has already helped several organizations increase operational efficiency. Attendees showed strong interest, recognizing it as a new-generation service strategy for maintaining NII equipment.

The WCO Technical Experts Group on Non-Intrusive Inspection (TEG-NII) is a specialized body within the World Customs Organization. It focuses on the use of non-intrusive inspection technologies, such as X-ray systems, in customs control. The group brings together customs officials, industry experts, and technology providers to discuss best practices, innovations, and challenges related to the deployment and maintenance of NII equipment. Their goal is to enhance global customs processes by improving the efficiency and effectiveness of customs control while ensuring the seamless flow of trade.