Guardian Eye: Real-Time Surveillance Monitoring with Automated Alerts Using Deep Learning

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{199381,
        author = {Vamshi Edla and P. Keerthana and B. Harinath and T. Sharon Peter and K. Kishor},
        title = {Guardian Eye: Real-Time Surveillance Monitoring with Automated Alerts Using Deep Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {12028-12038},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199381},
        abstract = {},
        keywords = {AI, techniques for deep learning, CV systems, real time surveillance, violence detection system, intelligent monitoring system and automated alert systems as well as video analytics on CCTV footage, human activity recognition and smart security solutions},
        month = {April},
        }

Cite This Article

Edla, V., & Keerthana, P., & Harinath, B., & Peter, T. S., & Kishor, K. (2026). Guardian Eye: Real-Time Surveillance Monitoring with Automated Alerts Using Deep Learning. International Journal of Innovative Research in Technology (IJIRT), 12(11), 12028–12038.

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