Crowd management, crime detection, work monitoring using aiml
P. R. Adithya Dheepak. S B. Akash Harshini. V Sai Lakshana
This research endeavors to harness the potential of existing Closed-Circuit
Television (CCTV) networks for a comprehensive approach to crowd management,
crime prevention, and workplace monitoring through the integration of
Artificial Intelligence (AI) and Machine Learning (ML) technologies. The
primary objective is to develop and implement advanced algorithms capable of
real-time analysis of video feeds, enabling the identification and assessment
of crowd dynamics, early detection of potential criminal activities, and
continuous monitoring of workplace environments. By leveraging AI/ML, the
project aims to optimize surveillance capabilities, thereby enhancing public
safety measures and improving organizational productivity. This initiative
underscores the transformative impact that intelligent video analytics can have
on existing infrastructure, mitigating the need for extensive system overhauls
while significantly advancing security and operational efficiency.