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.

@article{195943,
        author = {Mone Umadevi and Vadde Hakshitha and Mitte Pushpa and Thadi Lahari priya and Raichur Syed Danishta Tabassum and Mr. S. Ahmed Basha},
        title = {Design and Implementation of an Intelligent Security Surveillance System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {1906-1913},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195943},
        abstract = {This paper presents the design and implementation of an automated, low-cost home security system leveraging the Internet of Things (IoT) and edge-based facial recognition. The proposed architecture is built upon the Raspberry Pi Zero 2W platform, employing a Passive Infrared (PIR) sensor as a hardware interrupt to trigger high-definition image acquisition via a CSI camera module. Facial recognition is performed locally using the OpenCV library, comparing captured data against a pre-authorized database of known individuals. Real-time local feedback is provided through GPIO-interfaced LED indicators and an audible buzzer for immediate deterrence. In the event of an unauthorized access attempt, the system integrates the Telegram Bot API to provide instantaneous remote alerts, including the transmission of the captured image to the user's mobile device. Experimental results demonstrate that the system achieves high detection accuracy with a low-latency response time of approximately 3–5 seconds from initial motion detection to remote notification. This research provides a scalable and cost-effective solution for localized surveillance and remote monitoring in modern residential security applications.},
        keywords = {Facial Recognition, Internet of Things (IoT), OpenCV, PIR Sensor, Raspberry Pi Zero 2W, Telegram Bot API},
        month = {April},
        }