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@article{179821,
        author = {Vandana Patel and Rauki Yadav},
        title = {Human Violence Detection Using Deep Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8039-8045},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179821},
        abstract = {Detecting violence in real-time video 
surveillance plays a vital role in improving public 
safety and enabling timely threat intervention.. This 
paper presents an advanced approach for automatic 
violence detection leveraging the capabilities of the 
YOLOv8 (You Only Look Once version 8) object 
detection framework. The proposed model is trained 
on a custom dataset containing annotated violent and 
non-violent activities and optimized for high-speed 
inference and robust accuracy. By incorporating real
time video input, the system effectively identifies 
violent actions with minimal latency, making it 
suitable for deployment in smart surveillance systems. 
Experimental results demonstrate that the YOLOv8
based model achieves superior performance in terms 
of precision, recall, and inference speed compared to 
traditional methods. This research contributes to the 
growing field of intelligent video surveillance by 
offering a scalable, efficient, and accurate solution for 
real-time violence detection.},
        keywords = {},
        month = {May},
        }