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This report details the development of an electric vehicle designed for patrolling railway lines, with a particular focus on the incorporation of sensors and by using AI/OpenCV to aid in flaw detection. The project involved the design, development, and testing of the vehicle and its various components, including the electric drivetrain, battery system, and sensor suite.
The report begins with an overview of the motivation behind the project, including a discussion of the current state of railway maintenance practices and the potential benefits of implementing an e-vehicle with flaw detection capabilities. The report then outlines the design process, including the selection of components and the overall vehicle architecture.
Subsequent sections of the report delve into the details of the vehicle's various systems, including the electric drivetrain, battery management system, sensors and OpenCV. These sections include detailed descriptions of the various components, as well as discussions of the design tradeoffs and challenges faced during development.
The report also includes a section on testing and validation, detailing the various tests conducted to verify the vehicle's performance and functionality. This includes both laboratory testing and field testing on actual railway lines.
Finally, the report concludes with a discussion of the project's successes and limitations, as well as potential areas for future research and development. Overall, the report serves as a comprehensive account of the design and development of an e-vehicle equipped with sensors for flaw detection on railway lines and provides valuable insights into the challenges and opportunities associated with such a project. |
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