A System for Assessing the Level of Training of the Airport Security Control Operator in Eliminating Dangerous Items from Passengers’ Luggage

The chapter delves into the critical need for an objective and efficient system to assess the training levels of security control operators (SCOs) in identifying prohibited items in passenger luggage. Current training programs often lack the tools necessary for a precise evaluation of operators' proficiency, leading to subjective assessments and inconsistent training outcomes. The proposed solution is an intelligent training evaluation system that utilizes a two-level fuzzy logic model to analyze the operators' ability to identify and categorize dangerous substances in X-ray images of luggage. This model not only assesses the operators' skills but also generates personalized improvement programs for those who fall short of the required standards. The system is built on a comprehensive understanding of X-ray image analysis, where the color and intensity of objects in the images correspond to the material type and thickness. The chapter provides an in-depth look at the classification of dangerous substances and the various functions of high-resolution X-ray devices used in security screenings. The methodology section outlines the development of the fuzzy logic model, which integrates key assessment factors and uses linguistic variables to evaluate the operators' performance. The model's hierarchical structure allows for a detailed analysis of intermediate outcomes, enabling continuous improvement at each stage. The implementation and validation of the model were conducted using MATLAB, with extensive testing at a physical security checkpoint equipped with an eye-tracking system. The results highlight the effectiveness of the model in providing both final and partial grades, identifying areas where operators need further training, and reducing false alarms. The chapter concludes with insights into the potential of the model for quick, effective, and purposeful evaluation of training levels, ultimately enhancing passenger safety in air transport.