The Assay of Potholes and Road Damage Detection

Authors

  • Ankit Kumar  B.Tech Scholar, Computer Science & Engineering, Ambalika Institute of Management & Technology, Lucknow, India
  • Neha kulshrestha  Assistant Professor, Department of Computer Science & Engineering, Ambalika Institute of Management & Technology, Lucknow, India
  • Dr. Yusuf Perwej  Professor, Department of Computer Science & Engineering, Ambalika Institute of Management and Technology, Lucknow, India
  • Ashish Kumar Srivastava  Assistant Professor, Department of Computer Science & Engineering, Ambalika Institute of Management & Technology, Lucknow, India
  • Chandan Mani Tripathi  Assistant Professor, Department of Computer Science & Engineering, Ambalika Institute of Management & Technology, Lucknow, India

DOI:

https://doi.org//10.32628/CSEIT228135

Keywords:

Road Surface Damage, Firebase, Image Processing, Pothole Detection, Road Quality Monitoring, Road Damage Detection.

Abstract

Road conditions with holes are a common cause of accidents in a traffic environment. For motorcycle riders, car drivers, and other vehicle drivers, this can be fatal. For driving comfort, transportation safety, and infrastructure integrity, road surface monitoring and maintenance are critical. As a result, by identifying pot holes on the highway, this article seeks to develop a road contour damage information system. In this work, we suggest an Android-based application for executing data collecting points for government entities such as the NHAI and municipalities, among others. To create the app, we trained a model to recognize whether or not an image has a pothole. If a pothole is detected, the image is saved on a server, where it can subsequently be retrieved by appropriate authorities for maintenance and analysis. Instead of using the classic paper pen method, government personnel can utilise this mobile app to collect data. We plan to limit the quantity of photographs a person can upload because data can be very large. The findings of this study are expected to play a significant role in guaranteeing safe driving in the future by effectively detecting poor road conditions.

References

  1. Rajeshwari Madli, Santosh Hebbar, Praveenraj Pattar, Varaprasad Golla, "Automatic Detection and Notification of Potholes and Humps on Roads to Aid Drivers", Sensors Journal IEEE, vol. 15, no. 8, pp. 4313-4318, 2015
  2. Al-Mushayt O, Haq K and Yusuf P., “Electronic-Government in Saudi Arabia; a Positive Revolution in the Peninsula”, International Transactions in Applied Sciences, India, 1(1), 87-98, 2009
  3. Transport Committee, Local roads funding and maintenance: Filling the gap. 2019
  4. Tran Duc Chung, M. K. A. Ahamed Khan, "Watershed-based Real-time Image Processing for Multi-Potholes Detection on Asphalt Road", System Engineering and Technology (ICSET) 2019 IEEE 9th International Conference on, pp. 268-272, 2019
  5. Yusuf Perwej, “An Evaluation of Deep Learning Miniature Concerning in Soft Computing”, the International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Volume 4, Issue 2, Pages 10 - 16, 2015, DOI: 10.17148/IJARCCE.2015.4203
  6. J. Javier Yebes, David Montero, Ignacio Arriola, "Learning to Automatically Catch Potholes in Worldwide Road Scene Images", Intelligent Transportation Systems Magazine IEEE, vol. 13, no. 3, pp. 192-205, 2021
  7. C. Guo, Y. Liu, W. Shen, H. J. Wang and Y. Zhang, "Mining the Web and the Internet for Accurate IP Address Geolocations", Infocom. IEEE, 2009
  8. Hall, Kathleen T. dkk, Rehabilitation Strategies for Highway Pavement, National Cooperative Highway Research Program, Amerika Serikat, 2001.
  9. Kumar, T.N.R., A Real Time Approach for Indian Road Analysis using Image Processing and Computer Vision, Department of Computer Science M.S.Ramaiah Institute of Technology Bangalore, India, 2015.
  10. Ochoa-Ruiz, G., Angulo-Murillo, A. A., Ochoa-Zezzatti, A.; Aguilar-Lobo, L.M.; Vega, J.A.; Natraj, S.,“An asphalt damage dataset and detection system based on retinanet for road conditions assessment”. Appl. Sci., 10, 3974. 2020
  11. Yusuf Perwej, “An Evaluation of Deep Learning Miniature Concerning in Soft Computing”, International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), ISSN (Online): 2278-1021, ISSN (Print): 2319-5940, Volume 4, Issue 2, Pages 10 - 16, 2015, DOI: 10.17148/IJARCCE.2015.4203
  12. Nienaber, S. dkk, Detecting Potholes using Simple Image Processing Techniques and Real-World Footage, Department of E&E Engineering Stellenbosch University, Afrika Selatan, 2015
  13. Yusuf Perwej, “The Bidirectional Long-Short-Term Memory Neural Network based Word Retrieval for Arabic Documents”, Transactions on Machine Learning and Artificial Intelligence (TMLAI), Society for Science and Education, United Kingdom (UK), ISSN 2054-7390, Volume 3, Issue 1, Pages 16 - 27, 2015, DOI: 10.14738/tmlai.31.863
  14. Yusuf Perwej , Firoj Parwej, Asif Perwej, “Copyright Protection of Digital Images Using Robust Watermarking Based on Joint DLT and DWT ”, International Journal of Scientific & Engineering Research (IJSER), France, ISSN 2229-5518, Volume 3, Issue 6, Pages 1- 9, 2012
  15. Sattar, S.; Li, S.; Chapman, M. Road surface monitoring using smartphone sensors: A review. Sensors 2018, 18, 3845
  16. Punjabi, Himanshu dkk, Intelligent Pothole Detection System, Department Thadomal Shahani Engineering College, India, 2014
  17. Bray, M., “Application Programming Interface”, The Software Engineering Institute, 1997.
  18. M. Pérez, I. Strictest, C. Confidence, P. One, I. Strictest, and C. Confidence, Mastering OpenCV, no. January. 2003
  19. Eriksson, J.; Girod, L.; Hull, B.; Newton, R.; Madden, S.; Balakrishnan, H. The pothole patrol: Using a mobile sensor network for road surface monitoring. In Proceedings of the 6th international conference on Mobile Systems, Applications, and Services, Breckenridge, USA, 17–20, pp. 29–39, 2008
  20. Yusuf Perwej, Majzoob K. Omer, Osama E. Sheta, Hani Ali M. Harb, Mohmed S. Adrees, “The Future of Internet of Things (IoT) and Its Empowering Technology”, International Journal of Engineering Science and Computing, ISSN: 2321- 3361, Volume 9, Issue No.3, Pages 20192– 20203, 2019
  21. C. Ilas, Electronic sensing technologies for autonomous ground vehicles: a review, in: 8th International Symposium on Advanced Topics in Electrical Engineering, pp. 1–6, 2013
  22. Y. Yu, J.Z. H. Guan, Automated detection of urban road manhole covers using mobile laser scanning data, IEEE Trans. Intell. Transport. Syst. 16 (6), 3258–3269, 2015
  23. KICT, Final Report of the National Highway Pavement Management System 2016, Korea Institute of Civil Engineering and Building Technology, Gyeonggi-do, South Korea, 2017
  24. Y. Pan, X. Zhang, G. Cervone, L. Yang, Detection of asphalt pavement potholes and cracks based on the unmanned aerial vehicle multispectral imagery, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 11 (10), 3701–3712, 2018
  25. M. Brogan, S. McLoughlin, C. Deegan, Assessment of stereo camera calibration techniques for a portable mobile mapping system, IET Comput. Vis. 7 (3), 209–217, 2013
  26. Nathan Hurst, "Visual Guide to NoSQL Systems.", http://blog.nahurst.comlvisual-guide-to-NoSQL-systems/
  27. Yusuf Perwej, Shaikh Abdul Hannan, Firoj Parwej, Nikhat Akhtar , “A Posteriori Perusal of Mobile Computing”, International Journal of Computer Applications Technology and Research (IJCATR), , Volume 3, Issue 9, Pages 569 - 578, September 2014, DOI: 10.7753/IJCATR0309.1008
  28. K. Yaghmour, "Embedded Android: Porting Extending and Customizing", O'Reilly Media, 2013
  29. Y. S. Yilmaz, B. I. Aydin and M. Demirbas, "Google cloud messaging (GCM): An evaluation", 2014 IEEE Global Communications Conference, pp. 2807-2812, 2014
  30. Nikhat Akhtar, Bedine Kerim, Yusuf Perwej, Anurag Tiwari, Sheeba Praveen, “A Comprehensive Overview of Privacy and Data Security for Cloud Storage”, International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Volume 08, Issue 5, Pages 113-152, 2021 DOI: 10.32628/IJSRSET21852
  31. N. D. Lane, S. Bhattacharya, A. Mathur, P. Georgiev, C. Forlivesi and F. Kawsar, "Squeezing Deep Learning into Mobile and Embedded Devices", IEEE Pervasive Computing, vol. 16, no. 3, pp. 82-88, 2017
  32. R. Slavin, X. Wang, M. B. Hosserni, J. Hester, R. Krishnan, J. Bhatia, et al., "Toward a framework for detecting privacy policy violation in Android application code", ICSE, pp. 25-36, 2016

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Published

2022-02-28

Issue

Section

Research Articles

How to Cite

[1]
Ankit Kumar, Neha kulshrestha, Dr. Yusuf Perwej, Ashish Kumar Srivastava, Chandan Mani Tripathi, " The Assay of Potholes and Road Damage Detection, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 1, pp.202-211, January-February-2022. Available at doi : https://doi.org/10.32628/CSEIT228135