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{205926,
author = {Mr.M.N.Patil and Vaishnavi Ghalme and Vedant Ingle and Bhuvanesh Dhake},
title = {Drone Surveillance with Integrated Face Recognition System},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {1},
pages = {8782-8786},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=205926},
abstract = {This project, “Drone Surveillance with Integrated Face Recognition System” aims to develop an intelligent aerial monitoring platform capable of detecting and recognizing human faces in real time. The system combines UAV technology with computer vision and deep learning techniques to enhance public safety and situational awareness. The drone captures live video footage through an onboard high-definition camera. The project focuses on achieving accurate detection, low latency, and efficient processing within the limited computational capacity of the drone. Performance is measured in terms of detection accuracy, recognition rate, processing time, and reliability under different environmental conditions.},
keywords = {Drone, Face Recognition, AI, Image Processing, Real-Time Monitoring, Security System.},
month = {June},
}
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