Abstract:
In response to escalating security access misuse within the aviation industry, this paper explores
the development of an integrated security system utilizing real-time object identification
algorithms and Internet of Things (IoT) technology to enhance airport safety. The research
investigates how the YOLO algorithm, combined with IoT technology, can improve unauthorized
access detection and overall security operations. Employing a holistic methodology, the study
integrates theoretical frameworks with practical applications, analyzing the effectiveness of the
YOLO algorithm for object recognition and IoT devices for real-time data collection in a simulated
airport environment. Key findings indicate that this integration significantly enhances both the
speed and accuracy of unauthorized access detection, facilitating more efficient monitoring
through real-time alerts and improving operational effectiveness. the conclusion of the research
demonstrates notable cost-effectiveness and scalability, suggesting its potential as a transformative
solution for aviation security.
