NUST Institutions Library Catalogue

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.