Arqam, Muhammad  <br/><br/>
AI Based Intelligent Baggage Scanner (AIBS) System / 
Muhammad Arqam, Muhammad Aashib, Inam Ullah Khan. 
 - MCS, NUST   Rawalpindi   2024 
 - 106 p 
<br/><br/>This thesis aims at developing the AI-Based Intelligent Baggage Scanner System (AIBS System)<br/>to enhance the detection of contraband items in baggage at airports and other checkpoints.<br/>Leveraging state-of-the-art artificial intelligence models, the AIBS System integrates seamlessly<br/>with existing scanning equipment via an HDMI capture card, offering a cost-effective and easily<br/>deployable solution. The core of AIBS System, is an advanced artificial intelligence algorithm that<br/>has been trained on massive datasets of X-ray images in recognizing prohibited items. When<br/>patterns in the captured images are identified by the system, security personnel receive visual and<br/>sound alerts regarding threats and suspicious objects on baggage, ensuring not only the increase<br/>of the speed of baggage inspections, but also its accuracy. Furthermore, the thesis discusses the<br/>overall system design plan which covers development of the AI mode and the connection of the<br/>proposed AI model with regular baggage scanners will be discussed. The series of comparisons<br/>revealed that the AIBS System consistently outperforms previous approaches in terms of<br/>minimizing both false positives and false negatives. The studies have pointed out major<br/>enhancements in operational effectiveness and security measures in checking points that do lead<br/>to enhanced protective conditions for travel. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>UG BESE
<br/><br/><label>Subjects--Geographic Terms: </label><br/>BESE-26 
<br/><br/><label>Dewey Class. No.: </label>005.1,ARQ