Real-time security system with object detection:Recognizing objects in real-time using cameras and sensors in an IoT system

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.