ANTI-DRONE PROTECTION and SURVEILLANCE for VIPS in PUBLIC SPACES
Year: 2025
Type: article
Abstract: This project focuses on developing a real-time weapon and intrusion detection system using drones and Convolutional Neural Networks (CNN). A drone equipped with a Wi-Fi camera captures live video, from which frames are extracted and processed by the Raspberry Pi Pico. The CNN algorithm accurately detects weapons and intrusions, triggering instant alerts via a GSM modem to a connected PC. A GPS module provides precise location tracking for enhanced monitoring. The system is divided into three modules: hardware integration, CNN-based detection, and drone deployment for real-time surveillance. This cost-effective solution improves security in sensitive areas, ensuring quick threat detection and response while addressing challenges like processing speed, accuracy, and false positives.
Authors: Dr. S. Brindha -, Ms. T. P. Kamatchi -, Mr. G. Parthive -, Mr. Tamizh Eniyan Sarvanan -, Mr. Niranjan Kumar Manjunathan -, Mr. R. Namith Kumar -, Mr. K. S. Harish Siva -
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408909169