Pothole Detection System
Tushar Premanand1, Sriram Sridhar2, Abhinav Durbha3
1Tushar Premanand*, Department of Computer Science and Engineering, SRM IST Ramapuram, Chennai, India.
2Sriram Sridhar, Department of Computer Science and Engineering, SRM IST Ramapuram, Chennai, India.
3Abhinav Durbha, Department of Computer Science and Engineering, SRM IST Ramapuram, Chennai, India.
Manuscript received on July 02, 2020. | Revised Manuscript received on July 10, 2020. | Manuscript published on August 30, 2020. | PP: 89-92 | Volume-9 Issue-6, August 2020. | Retrieval Number: F1281089620/2020©BEIESP | DOI: 10.35940/ijeat.F1281.089620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Potholes are a common nuisance that most people have had the displeasure of coming across. These bowl-shaped cavities in the road cause a large proportion of automobile related accidents, either directly or indirectly. Begetting the process of getting a pothole covered/fixed is a time consuming one that involves informing the appropriate authorities and having them take action. Implementing a system that involves citizens in the process of detecting pothole is what is being envisioned. The system includes a mobile application which is capable of taking a photo, this photo is then sent to a backend server where it is processed by a neural network model capable of detecting potholes. If any potholes are detected in the photo then the photo is saved along with its geolocation and forwarded to the appropriate authorities thus providing an efficient method of identifying potholes and removing the communication gap between the government and its citizens.
Keywords: Accidents, Neural Network, Potholes