Machine Learning Based Optical Surveillance System for Detection & Neutralization of Rogue Drones

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Authors: Vijilesh Krishnan V K, Minu V. S, P Sidharth, Naeem Abullaise, Mohamed Faris R S
Cited by: 0

Abstract

Rogue Drones can potentially pose great threats to public security and personal privacy.To mitigate these threats, it is necessary to deploy an antidrone system in the sensitive area to detect, localize and defend against the intruding drones.Our Drone detection System combines optical passive surveillance technology with machine learning to realize drone detection, localization, alarm alert system and radio frequency jamming.Anti-Drone Technology or drone defence system allows neutralization of any kinds of Drones in the area.Drones or Unmanned Aerial Vehicles (UAV) systems have been utilized by military forces for years.An Anti-Drone Technological implementation can play a vital role in the security of some countries and territories.Especially today, the terrorist threat is increasing and these threats have to be taken seriously.The low cost of Drones today could easily be used for everything from spying and surveillance to actually delivering terror from the sky.Big attention is now turning to proactive defence systems and Anti-drone technology.There is already a big choice on the market in this technology.It is possible to spot the drone targets from a range of 10km to 20km.fortunately, until now, there have not been any major attacks utilising drones.But as technology is developing more and more, the question is when, rather than if, a major incident will occur.

Fields of Study & Subjects

Video Surveillance and Tracking Methods Advanced Neural Network Applications Advanced Measurement and Detection Methods

Publication details

Journal / source
INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS
Volume
13
Issue
1
Publication date
1 January 2026
Language
EN