UNMANNED ROBOTIC VEHICLE FOR PIPELINE INSPECTION USING COMPUTER VISION

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UNMANNED ROBOTIC VEHICLE FOR PIPELINE INSPECTION USING COMPUTER VISION

Abstract:

The maintenance and inspection of pipelines play a crucial role in ensuring the integrity and efficiency of industrial infrastructures. This research proposes the design and implementation of an unmanned robotic vehicle equipped with advanced computer vision technology for the purpose of pipeline inspection. The autonomous nature of the robotic system allows for efficient and cost-effective inspection, reducing human intervention and operational risks.

The robotic vehicle integrates computer vision algorithms to analyze visual data captured by onboard cameras, enabling the detection and identification of potential issues such as cracks, corrosion, and leaks along the pipeline. The implementation of real-time image processing enhances the vehicle’s ability to navigate and respond to dynamic environmental conditions, ensuring comprehensive and accurate inspection results.

Furthermore, the unmanned vehicle incorporates intelligent path-planning algorithms, enabling it to autonomously navigate through complex pipeline networks with minimal human intervention. The system aims to enhance inspection speed, coverage, and accuracy, thereby reducing downtime and improving overall safety in industrial settings.

This research contributes to the ongoing advancement of robotics in industrial applications, particularly in the domain of infrastructure inspection. The proposed unmanned robotic vehicle offers a reliable and efficient solution for pipeline inspection, leveraging state-of-the-art computer vision technology to address the challenges associated with traditional inspection methods. The outcomes of this study have implications for industries reliant on pipeline infrastructures, promoting proactive maintenance and minimizing the risks associated with unforeseen issues in critical pipelines.

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