Object Recognition and Tracking for Enhanced Security Using Computer Vision

It is now possible to identify and monitor things with more efficiency and precision because to advancements in computer vision technologies that have been made in security systems. This study provides a thorough analysis of a real-time object tracking and recognition system developed to improve security procedures by using PC cameras (webcams). The goal of this research is to address the crucial requirements for automation, scalability, and quick response in security applications. The limitations of conventional security systems, which mostly rely on human surveillance and retroactive analysis, are the driving force for this study. Establishing a system that can proactively identify and address security issues is the main goal of this research. The main objectives include building a robust object recognition system, integrating object tracking algorithms, designing an easy-to-use user interface, and thoroughly analyzing the system's performance in real-world scenarios.