International Journal on Science and Technology

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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ANTI-DRONE PROTECTION and SURVEILLANCE for VIPS in PUBLIC SPACES

Author(s) 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
Country India
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.
Keywords Weapon detection, Convolutional Neural Networks (CNNs), GSM, Alert Mechanism
Field Engineering
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-22
Cite This ANTI-DRONE PROTECTION and SURVEILLANCE for VIPS in PUBLIC SPACES - 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 - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2523
DOI https://doi.org/10.71097/IJSAT.v16.i1.2523
Short DOI https://doi.org/g892g7

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