Violence Detection using Deep Learning

Abstract

In an era where technological advancements are reshaping various aspects of society, crime prevention and public safety have emerged as critical areas of concern.This project proposes a novel approach to crime analytics by harnessing the power of live footage and deep learning technologies.The invention of Crime Analytics Using Live Footage represents a groundbreaking advancement in the field of crime prevention and law enforcement. This technology harnesses the power of real-time video analysis, predictive analytics, and data-driven decision-making to proactively detect and prevent criminal activities, ensuring public safety and enhancing the efficiency of law enforcement efforts.The system's core functionality lies in its ability to analyze live video footage from a network of surveillance cameras, leveraging advanced computer vision algorithms and machine learning techniques. This real-time analysis enables the immediate identification of potential threats, suspicious behavior, and emerging criminal activities within monitored areas.