Pothole Detection Robot Using Raspberry PI

Authors

  • Prof. A. S. Shirkande  Savitribai Phule Pune University, Department of Electronics and Telecommunication Engineering, S. B. Patil College of Engineering, Indapur, Maharashtra, India
  • Yogiraj Hange  Savitribai Phule Pune University, Department of Electronics and Telecommunication Engineering, S. B. Patil College of Engineering, Indapur, Maharashtra, India
  • Suraj Naiknaware  Savitribai Phule Pune University, Department of Electronics and Telecommunication Engineering, S. B. Patil College of Engineering, Indapur, Maharashtra, India
  • Dnyandev Shelar  Savitribai Phule Pune University, Department of Electronics and Telecommunication Engineering, S. B. Patil College of Engineering, Indapur, Maharashtra, India

Keywords:

Global Positioning System, InfraROB European project, Raspberry Pi

Abstract

Municipalities are responsible for repairing potholes to prevent accidents and damage to vehicles. This research introduces an affordable and efficient system for monitoring and maintaining urban roads. The authors developed a method that utilizes photogrammetry techniques to predict the shape and size of potholes. They used a Raspberry Pi Camera Module 3 connected to a Raspberry Pi 4 Model B to capture a series of overlapping 2D images, which were then used to create a 3D model of the pothole. The Raspberry-based setup was installed on a robot, developed as part of the InfraROB European project, to minimize the risk to workers and automate the survey process. The accuracy of the photogrammetry software's results was verified through laboratory tests conducted on an asphalt tile that mimicked a real pothole. The system incorporated Global Positioning System (GPS) and Geographical Information System (GIS) technologies to map the potholes, providing information on their location, size, backfill material, and an accompanying image. Ten field tests demonstrated that the system is effective in uncontrolled environments, not just in a controlled laboratory setting. The results indicate that this system is a valuable tool for monitoring road potholes, prioritizing the health and safety of both construction workers and road users.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2023-12-30

Issue

Volume 10, Issue 6, November-December-2023

Section

Research Articles

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How to Cite

[1]
Prof. A. S. Shirkande, Yogiraj Hange, Suraj Naiknaware, Dnyandev Shelar "Pothole Detection Robot Using Raspberry PI" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 6, pp.42-45, November-December-2023.