Battlefield Sentry-Military Grade Intruder Detection System

Year : 2024 | Volume : 14 | Issue : 02 | Page : 1-7
    By

    Swati Savkare,

  • Mohit Butale,

  • Mrunal Agade,

  • Vaibhav Chavan,

  1. Assistant Professor, Department of Electronic and Telecommunication Engineering, Smt. Kashibai Navale College of Engineering (SKNCOE), Savitribai Phule Pune University (SPPU), Pune, Maharashtra, India
  2. Student, Department of Electronic and Telecommunication Engineering, Smt. Kashibai Navale College of Engineering (SKNCOE), Savitribai Phule Pune University (SPPU), Pune, Maharashtra, India
  3. Student, Department of Electronic and Telecommunication Engineering, Smt. Kashibai Navale College of Engineering (SKNCOE), Savitribai Phule Pune University (SPPU), Pune, Maharashtra, India
  4. Student, Department of Electronic and Telecommunication Engineering, Smt. Kashibai Navale College of Engineering (SKNCOE), Savitribai Phule Pune University (SPPU), Pune, Maharashtra, India

Abstract

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The invasion of intruders is a huge challenge for the security of any country. It is an enormous task for the security force to monitor huge international borders. Deploying a bot who is technically advanced and smart enough to find an intruder as well as sending an alert message to the department is enough to strengthen the security. This slight change can bring a dramatic difference to the security system. This bot can be deployed in hostile areas where it is a life threat for the soldiers, but by deploying the bot, the situation can be controlled. The proposed work aims to develop and deploy an automated stand-alone bot to detect the presence of an intruder in the targeted area. This system consists of a robotic car for continuously monitoring the allocated area. Whenever the sensors sense the momentum in the environment, it will check for the intruder, and if it is present, it will take the photos and email them to the department. The bot will check within the pre-stored data if the face matches with the intruder or not. This is how it can differentiate between an intruder and its own people. This system also provides live streaming of surveillance data to the department. This is done using Raspberry Pi and Tiger VNC viewer.

Keywords: Surveillance, strengthen security, deploying bot, facial recognition, Tiger VNC viewer, real-time

[This article belongs to Journal of Aerospace Engineering & Technology ]

How to cite this article:
Swati Savkare, Mohit Butale, Mrunal Agade, Vaibhav Chavan. Battlefield Sentry-Military Grade Intruder Detection System. Journal of Aerospace Engineering & Technology. 2024; 14(02):1-7.
How to cite this URL:
Swati Savkare, Mohit Butale, Mrunal Agade, Vaibhav Chavan. Battlefield Sentry-Military Grade Intruder Detection System. Journal of Aerospace Engineering & Technology. 2024; 14(02):1-7. Available from: https://journals.stmjournals.com/joaet/article=2024/view=0


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Regular Issue Subscription Review Article
Volume 14
Issue 02
Received 16/07/2024
Accepted 30/07/2024
Published 05/08/2024
Publication Time 20 Days
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