Real-Time Surveillance System Iot Surveillance System With Motion Detection And Live Camera Streaming

Authors

  • Jorepalli Asha, Chopparapu Yogeswara Rao, Gangavarapu Pardha Saradhi, B Gujjarlapudi Surya Prakash, Guntanala Rahul Krishnadev Author

DOI:

https://doi.org/10.48047/t164gw38

Keywords:

Violence Detection, YOLOv8, Deep Learning, Computer Vision, Real-Time Surveillance, OpenCV, Machine Learning, Smart Security System, Automated Alert System, Image Processing.

Abstract

In recent years, ensuring public safety through effective surveillance has become a critical concern due to the increasing number of violent incidents in public and private spaces. Traditional surveillance systems rely heavily on manual monitoring, which is time
consuming, inefficient, and prone to human error. To address these limitations, this project presents an intelligent real-time surveillance system that leverages deep learning and computer vision techniques for automated violence detection

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Published

01.05.2026

How to Cite

Real-Time Surveillance System Iot Surveillance System With Motion Detection And Live Camera Streaming. (2026). International Journal of Information and Electronics Engineering, 16(2), 257-263. https://doi.org/10.48047/t164gw38