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1718235 Vol 9 · Issue 11 Download Paper

AI Based Pothole Detection System

Abhay Kisan Arote Ganesh Kishor Pansare Prashant Murlidhar Sonawane Tushar Indrabhan Wable Prof. Borkar S. V.

Subject area: Science,Engineering and Technology  ·  Area of research: Artificial Intelligence

DOI: https://doi.org/10.64388/IREV9I11-1718235

Abstract

Road surface defects such as potholes create major challenges for transportation safety and infrastructure maintenance. This project presents a smart pothole detection system using Raspberry Pi, image processing, and IoT technologies for real-time road monitoring. A camera captures road images continuously, and image processing techniques are used to identify potholes accurately. Once detected, the system records the location using GPS and transmits the data through wireless communication for monitoring and maintenance purposes. The proposed system helps reduce manual inspection efforts, improves road safety, and supports efficient smart city infrastructure management.

Keywords

Pothole Detection, Raspberry Pi, Image Processing, IoT, GPS.

References

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How to cite this paper

Abhay Kisan Arote, Ganesh Kishor Pansare, Prashant Murlidhar Sonawane, Tushar Indrabhan Wable, Prof. Borkar S. V. "AI Based Pothole Detection System" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 4115-4124 https://doi.org/10.64388/IREV9I11-1718235
Abhay Kisan Arote, Ganesh Kishor Pansare, Prashant Murlidhar Sonawane, Tushar Indrabhan Wable, Prof. Borkar S. V. "AI Based Pothole Detection System" Iconic Research And Engineering Journals, vol. 9, no. 11, May. 2026, doi: https://doi.org/10.64388/IREV9I11-1718235
Abhay Kisan Arote, Ganesh Kishor Pansare, Prashant Murlidhar Sonawane, Tushar Indrabhan Wable, Prof. Borkar S. V. (2026). AI Based Pothole Detection System. Iconic Research And Engineering Journals, 9(11). doi: https://doi.org/10.64388/IREV9I11-1718235
Abhay Kisan Arote, Ganesh Kishor Pansare, Prashant Murlidhar Sonawane, Tushar Indrabhan Wable, Prof. Borkar S. V. "AI Based Pothole Detection System" Iconic Research And Engineering Journals, vol. 9, no. 11, May. 2026. Crossref, https://doi.org/10.64388/IREV9I11-1718235
@article{1718235,
      author = {Abhay Kisan Arote, Ganesh Kishor Pansare, Prashant Murlidhar Sonawane, Tushar Indrabhan Wable, Prof. Borkar S. V.},
      title = {AI Based Pothole Detection System},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {11},
      pages = {4115-4124},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1718235.pdf},
      abstract = {Road surface defects such as potholes create major challenges for transportation safety and infrastructure maintenance. This project presents a smart pothole detection system using Raspberry Pi, image processing, and IoT technologies for real-time road monitoring. A camera captures road images continuously, and image processing techniques are used to identify potholes accurately. Once detected, the system records the location using GPS and transmits the data through wireless communication for monitoring and maintenance purposes. The proposed system helps reduce manual inspection efforts, improves road safety, and supports efficient smart city infrastructure management. },
      keywords = {Pothole Detection, Raspberry Pi, Image Processing, IoT, GPS.},
      month = {May},
      doi = {https://doi.org/10.64388/IREV9I11-1718235}
  }