AI-Based Intelligent Baggage Scanner (ABIS) System

Abstract

This thesis aims at developing the AI-Based Intelligent Baggage Scanner System (AIBS System) to enhance the detection of contraband items in baggage at airports and other checkpoints. Leveraging state-of-the-art artificial intelligence models, the AIBS System integrates seamlessly with existing scanning equipment via an HDMI capture card, offering a cost-effective and easily deployable solution. The core of AIBS System, is an advanced artificial intelligence algorithm that has been trained on massive datasets of X-ray images in recognizing prohibited items. When patterns in the captured images are identified by the system, security personnel receive visual and sound alerts regarding threats and suspicious objects on baggage, ensuring not only the increase of the speed of baggage inspections, but also its accuracy. Furthermore, the thesis discusses the overall system design plan which covers development of the AI mode and the connection of the proposed AI model with regular baggage scanners will be discussed. The series of comparisons revealed that the AIBS System consistently outperforms previous approaches in terms of minimizing both false positives and false negatives. The studies have pointed out major enhancements in operational effectiveness and security measures in checking points that do lead to enhanced protective conditions for travel.