AI-Powered CCTV Surveillance with Intrusion Detection Using YOLOv5 and Raspberry Pi

Abstract This paper presents a cost-effective and intelligent surveillance system for real-time intrusion detection using AI-based object detection. The system leverages the YOLOv5 deep learning model deployed on a Raspberry Pi to monitor live CCTV footage and detect unauthorized human or vehicle entry. When an intrusion is detected, the system triggers alerts and stores evidence images in local or cloud storage. The system provides enhanced surveillance capabilities with minimal human intervention and is suitable for low-cost security applications in homes, hostels, farms, and small industries. Keywords YOLOv5, Raspberry Pi, Object Detection, Surveillance, Intrusion Detection, Deep Learning, CCTV, Computer Vision