Surveillance System for Real Time High Precision Recognition of Criminal

Surveillance System for Real Time High Precision Recognition of Criminal

Manu Y M

Computer Science and Engineering,

BGS Institute of Technology,

BG Nagar, Karnataka

manuym@bgsit.ac.in

Hemchandru M K

Computer Science and Engineering,

BGS Institute of Technology,

BG Nagar, Karnataka

hemchandrumk2h@gmail.com

Abstract — In an era marked by escalating concerns over public safety and crime prevention, the demand for sophisticated surveillance technologies has surged. This paper presents a groundbreaking solution: a Surveillance System for Real-Time High-Precision Recognition of Criminals. Leveraging advancements in deep learning and facial recognition, our system transcends the limitations of traditional surveillance setups by autonomously identifying individuals of interest in real-time. By employing a meticulously designed deep neural network framework, our system detects and tracks criminal faces amidst dynamic, crowded environments, effectively enhancing public safety measures. Through a seamless integration of cutting-edge technology and meticulous methodology, our innovative system heralds a new era in proactive crime prevention, offering unparalleled precision and efficiency in identifying and apprehending high-risk individuals.

Keywords — Real-time surveillance, High-precision facial recognition, Crime prevention and Deep learning-based system