AI Based Automated Framework for Crime Detection and Crowd Management
Mustafa Basthikodi, B. Vidya, Elvicia Miriam Pinto, Mohammed Basith, Srinivas A Rao · 2024
Manual monitoring and surveillance methods are often time-consuming and prone to human error, necessitating innovative solutions. This research proposes the integration of AI and ML technologies to address these challenges. AI-based CCTV networks enable real-time data analysis, enhancing crowd management and crime detection across diverse environments. The system utilizes cutting-edge technologies, incorporating im- age and live video feeds for dynamic analysis, anomaly detection, and pattern recognition. Key features include timely security threat notifications and efficient crowd monitoring. Successful implementation requires a significant investment in technology, infrastructure, and robust data management systems. Ethical considerations, particularly privacy, are paramount. The project aims to revolutionize crime detection and crowd management, introducing a modern, accurate, and efficient system aligned with the evolving security landscape.