Weapon Detection System in Remotely Operated ASV

Authors

  • Muniyandy Elangovan Professor, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India Author
  • B. Yuvan Siddarth Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India. Author
  • R Govindram Uduupa Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India. Author
  • R. Vigneshwar Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India. Author

DOI:

https://doi.org/10.47392/irjash.2021.246

Keywords:

Automation, Modelling, Remotely-Operated Vehicle (ROV), Machine Learning, Image Processing

Abstract

High tensions within states or across borders are quite common nowadays. Protection of human resources i.e., soldiers is as important as the protection of national resources. It is a visible fact that the casualty rate among the defense forces during a crisis is relatively higher. That is the reason why a majority of Governmental organizations of various nations are stressing the concepts of Automation. ROV or Remotely Operated Vehicle, a concept of automation, is playing a very vital role in almost all the advancements in this technologically developed society. Present work, one complete Armored Safety Vehicle (ASV) was designed with more featured to accommodate sensors for detection and coding are developed to detect the weapon using the image processing techniques. There is a special wheel design is introduced which is safe for easy and quick movement of a vehicle. From commercial vehicles to exploring the deepest trenches, ROV’s have been a substantial tool for developmental prospects. It was tested for one image file and worked well. It is integrated with Machine Learning and image processing concepts to automatically come up with solutions based on the inputs. These concepts when used in defense vehicles not only increase efficiency but also reduces the casualty rate during a crisis.

         

Downloads

Published

2021-09-01