Video Surveillance System with Unattended Objects Detection
Jyoti Kukade, Keshav Soni, Prashant Panse, Trapti Mishra, Vidhya Samad Barpha, Kush Bhushanwar · 2023
In today's congested public venues like railway stations, airports, and retail centers, security is a major concern. One of the suspicious object detection system's most important jobs is abandoned item detection. Automatically detecting suspicious items and enhancing public security and protection are the algorithm's main goals. We provide a technique for finding abandoned items in safe materials. The need for CCTV research in computer vision science has increased recently. There are several research studies on video surveillance in the literature. The primary aim of this approach is to develop a real-time security model that can recognize suspicious activity. Future incarnations of the device might be used to monitor unusual behavior in public areas instead of the current monitoring systems.