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Land Mine Detection Robot using BLE-3.0 Voice Controlled, using Joystick and Gyroscopic sensor

Authors: Sanjay S Tippannavar;

Land Mine Detection Robot using BLE-3.0 Voice Controlled, using Joystick and Gyroscopic sensor

Abstract

Robotics is expanding quickly in the modern world and is already participating in many facets of our everyday life. Engineers have chosen to work in this sector to create or construct robots that will improve human existence since robotics is a part of the communication of technological growth. In today's technological environment, there are several forms of mobile robots. There are humanoid robots, water-based robots, wheels robots, tracks robots, and more. In this study, a four-wheeled remote control robot vehicle is created to detect metal. The system is put into use with the help of the Arduino platform, an android app, and a metal detector winding. With the help of an Androidbased gadget, this robot car was created. The brain of the robot is an Arduino Uno. It also comprises the portion of the programme that makes use of a portable application. The metal-detection robot described in this study can be controlled via Bluetooth remote control while also being able to detect metal. In terms of detection, turning, and pricing accuracy, the suggested design is contrasted with the automated robot. The results demonstrate that the suggested design robot vehicle can provide a precise and quick metal movement detection, easier turning, and less expensively. The space between buried landmines and the sensor heads has a significant impact on metal detectors' capacity to detect landmines. As a result, human deminers physically scan the ground with metal detectors while ensuring that the sensor heads follow the surface. By adjusting the distance and angle of the sensor heads, robots may aid in landmine detection while doing it correctly and safely. In this study, a quantitative analysis of the impact of mechanical manipulator-based gap and attitude control on the performance of landmine detection has been done. In order to do this, the study details the creation of a Controlled Metal Detector (CMD) that allows for precise adjustment of the gap and attitude of the sensor head.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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