Intelligent Spying and Bomb Detection

Authors

  • Shilpa Hiremath Assistant Professor, Department of Electronics and Communication Engineering, BMS Institute of Technology, Bangalore, India
  • R. Sumodh Student, Department of Electronics and Communication Engineering, BMS Institute of Technology, Bangalore, India
  • D. Subramanya Student, Department of Electronics and Communication Engineering, BMS Institute of Technology, Bangalore, India
  • K. N. Upendra Student, Department of Electronics and Communication Engineering, BMS Institute of Technology, Bangalore, India
  • N. Shrihari Student, Department of Electronics and Communication Engineering, BMS Institute of Technology, Bangalore, India

Keywords:

YOLO, Object detection, Bomb detection, Metal detection sensor, ESP-32, Surveillance robot, IoT

Abstract

Today, keeping an eye on the military's border zones is a difficult chore. The border guarding forces take their responsibility for securing the border very seriously, but it is very challenging to watch the border at all times, which frequently results in the tragic death of an army soldier. To avoid these consequences, we use a surveillance that automatically detects people, animals, people carrying weapons, people carrying bombs, and people in control areas. The goal of this research work is to replace army personnel at the line of control on border areas with intelligent, automated robots that can be destroyed. These robots will also protect our nation by blocking the passage of unauthorized trespassers and any other potential sources of damaged army vehicles. The main goal of this research is to design and construct a surveillance robot that can reduce casualties on the battlefield. The robot serves as a surveillance robot to take pictures of the intruder's surroundings before the soldiers assault.

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Published

26-05-2023

Issue

Section

Articles

How to Cite

[1]
S. Hiremath, R. Sumodh, D. Subramanya, K. N. Upendra, and N. Shrihari, “Intelligent Spying and Bomb Detection”, IJRAMT, vol. 4, no. 5, pp. 58–63, May 2023, Accessed: Dec. 26, 2024. [Online]. Available: https://journals.ijramt.com/index.php/ijramt/article/view/2723