Inspection Rover System

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Ankit Kumar; Jitendra Kumar Vashishtha; Bhanu Pratap; Manoj Kumar; Vikash Kumar

Inspection Rover System

Authors: Ankit Kumar, Jitendra Kumar Vashishtha, Bhanu Pratap, Manoj Kumar, Vikash Kumar

Unique Paper ID: 160278
Volume: 10
Issue: 1
PageNo: 84-86

Keywords: AQI-Air quality Index MP-Mega PIxel

Abstract:
The inspection and monitoring of aerospace sites, infected areas, industrial sites, structures, and infrastructure are crucial for their sustainability and maintenance. These tasks can be repetitive, time-consuming, and challenging due to the harsh environments they are conducted in, such as dust, humidity, or the absence of natural light.The classical approach to these inspections relies on large human activities, which can be inefficient and costly. However, advancements in technology have led to the development of new tools and techniques that can automate these inspections and make them more efficient. For instance, construction site inspection checklists can be used to ensure compliance with project requirements. The objective of this paper provide the review on the solution provided by us for detail investigating of unexplored sites where human lives can be infected. This research paper presents the development of an Inspection Rover System as a final year major project. The Inspection Rover System is a remotely operated mobile robot designed for the inspection of difficult-to-reach areas. The system consists of a robotic platform, a remote control station, and a set of sensors and cameras. The robot is equipped with a manipulator arm, which allows it to interact with its environment. The project involves the design, construction, and testing of the Inspection Rover System. The project's goal is to develop a system that is capable of performing inspections in hazardous environments, including nuclear power plants, oil rigs, and mines.

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Cite This Article

ISSN: 2349-6002
Volume: 10
Issue: 1
PageNo: 84-86

Inspection Rover System

Available:https://ijirt.org/article?manuscript=160278

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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