• Rahul Harishchandra Badhe
• Prof.Ashish Zanjade
• Prof.Mohsinuddin Khajamoinuddin

The pothole repair in India is mostly done by labour work which can also call a manual patching. The time required to fill required is high in manual method and wastage of material is high. The pothole filling process required for each season due to environmental changes and traffic density in India. The wages charges and routinely repair made roadways busy for maintenance continuously for year. This all problems lead to design the system which can automatically detect, analyze dimension and then automatically fill or patch the hole on road surface. By using the system with image processing based pothole detection the accurate dimension will be available and by using the available dimensions the filling material will be absolutely required deposited in pothole and it will be pressed. The system can reduce the material wastage, time requirement and wages charges. The need is to automate the whole system to increase accuracy and to make reliable system.

Automatically, Dimension, Patching, Pothole, Road surface, Sensing, Wages.

"Enhanced image processing based pothole identification and autonomous patching mechanism design", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.316-319, April-2019, Available :http://www.jetir.org/papers/JETIR1904L46.pdf

"Enhanced image processing based pothole identification and autonomous patching mechanism design", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp316-319, April-2019, Available at : http://www.jetir.org/papers/JETIR1904L46.pdf