Pothole and Garbage Detection Using Support Vector Machine

Authors

  • Mohit Chaudhari
  • Tejas Pingalkar
  • Dipesh Chaudhari
  • Sagar Patil
  • Ankit Baviskar
  • Sandip S. Patil

Keywords:

Convolutional Neural Network, Support Vector Machine, Geographical Information System.

Abstract

In the era of modern world, society has some basic needs like clean drinking water, adequate treatment and disposal of human excreta and pothole-free roads, etc. It has questioned the competency of concerned ruling authority. In the society there are volunteers who are urging to alter the case and report of these problems. Along with that people are also facing basic problem like vehicle accidents, fires, mechanical damages and many more. There is a provision for huge financial budget at each year for maintaining road by Municipal Corporation but due to the lack of supervision everything gets waste. Same thing is happening with sanitization; problems like surface waters, poor garbage management, pollution, etc. do appear. In this work we are proposing the machine learning based solution, which enables the citizens to report the issues like potholes or sanitation evidences by simple one click along with remainders and monitoring.  Proposed work uses support vector machine classifier for classifying and reporting the images of the said evidences to the concerned authority. 

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Published

2021-08-04

How to Cite

Mohit Chaudhari, Tejas Pingalkar, Dipesh Chaudhari, Sagar Patil, Ankit Baviskar, & Sandip S. Patil. (2021). Pothole and Garbage Detection Using Support Vector Machine. International Journal of Progressive Research in Science and Engineering, 2(8), 25–28. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/356

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Articles