Intelligent Surveillance on Wireless Sensing and Recognition of Suspicious Activities in Crowded Environments
R. Radhika, A. Muthukumaravel · Advances in computational intelligence and robotics book series · 2025
Intelligent surveillance systems are crucial for monitoring densely populated areas for a wide range of applications, including security and crowd control. The primary objective of this study is to use wireless sensing technologies in order to identify and analyze the actions of subspecies inside various habitats. The suggested system utilizes sophisticated machine learning algorithms to differentiate and evaluate various actions in congested areas, hence improving situational awareness and decision-making. Wireless sensors facilitate the gathering of data in real-time, allowing for prompt reactions to identified abnormalities or suspicious activities. Moreover, the system's capacity to identify distinct behaviors provides a more intricate comprehension of crowd dynamics, enabling customized actions and allocation of resources. This study makes a valuable contribution to the advancement of intelligent surveillance systems