Predictive Maintenance Tool for Non-Intrusive Inspection Systems

TL;DR

This paper introduces PMT4NIIS, an AI-powered predictive maintenance system designed to monitor X-ray security systems in real-time, reducing downtime and enhancing border security operations.

Contribution

The paper presents a novel AI-based decision support platform for predictive maintenance of non-intrusive inspection systems used in security checkpoints.

Findings

Real-time AI warnings for system malfunction risk

Enhanced monitoring reduces X-ray system downtime

Supports continuous 24/7 security operations

Abstract

Cross-border security is of topmost priority for societies. Economies lose billions each year due to counterfeiters and other threats. Security checkpoints equipped with X-ray Security Systems (NIIS-Non-Intrusive Inspection Systems) like airports, ports, border control and customs authorities tackle the myriad of threats by using NIIS to inspect bags, air, land, sea and rail cargo, and vehicles. The reliance on the X-ray scanning systems necessitates their continuous 24/7 functioning being provided for. Hence the need for their working condition being closely monitored and preemptive actions being taken to reduce the overall X-ray systems downtime. In this paper, we present a predictive maintenance decision support system, abbreviated as PMT4NIIS (Predictive Maintenance Tool for Non-Intrusive Inspection Systems), which is a kind of augmented analytics platforms that provides real-time AI-generated warnings for upcoming risk of system malfunctioning leading to possible downtime. The industrial platform is the basis of a 24/7 Service Desk and Monitoring center for the working condition of various X-ray Security Systems.