A Real-Time Intelligent Video Surveillance Framework for Automated Violence Detection Using Advanced Deep Learning Architectures

2025 · Video Understanding / Public Safety AI

A real-time surveillance framework for automated violence detection using deep learning architectures tuned for fast and reliable scene-level threat recognition.

Research Focus

Real-time violence detectionDeep spatiotemporal modelingAutomated surveillance alerts

Publication Type

Research Paper

Area

Computer Vision

Summary

This paper proposes a real-time intelligent monitoring pipeline that classifies violent behavior directly from video streams. The architecture combines advanced deep learning components for robust temporal and spatial understanding, then triggers automated alerts for rapid intervention. The framework is designed for practical deployment in safety-critical public and private environments.

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