Detection System Using Fall and Violence Detection

Author(s)	Mr. DEBRUP SENGUPTA, Ms. TWINKLE MOHANTY
Country	India
Abstract	Ensuring timely detection of emergencies such as accidental falls and violent incidents is a major challenge in modern surveillance systems. Manual monitoring of video feeds is inefficient and unreliable, motivating the need for automated vision-based solutions. Recent advances in deep learning and computer vision have enabled accurate analysis of human activities from video streams. Integrating fall detection and violence recognition into a unified detection system offers a practical approach for real-time emergency identification and rapid response in public and residential environments.
Keywords	Fall Detection, Violence Detection, Computer Vision, Deep Learning, Emergency Alert System, YOLOv8, CNN
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-28
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.64869

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