This paper is published in Volume-8, Issue-4, 2022
Area
Electronics and Communication Engineering
Author
Rupsha Debnath, Sayandeep Dutta, Soumajit Karmakar, Pratik Kumar Dewan, Ritasri Ghosh, Subhayu Das, Subarna Ghosh, Dr. Sangita Roy
Org/Univ
Narula Institute of Technology, Kolkata, West Bengal, India
Pub. Date
26 July, 2022
Paper ID
V8I4-1199
Publisher
Keywords
Accident, Potholes, YOLO Algorithm

Citationsacebook

IEEE
Rupsha Debnath, Sayandeep Dutta, Soumajit Karmakar, Pratik Kumar Dewan, Ritasri Ghosh, Subhayu Das, Subarna Ghosh, Dr. Sangita Roy. Fast pothole detection with the YOLO algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Rupsha Debnath, Sayandeep Dutta, Soumajit Karmakar, Pratik Kumar Dewan, Ritasri Ghosh, Subhayu Das, Subarna Ghosh, Dr. Sangita Roy (2022). Fast pothole detection with the YOLO algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 8(4) www.IJARIIT.com.

MLA
Rupsha Debnath, Sayandeep Dutta, Soumajit Karmakar, Pratik Kumar Dewan, Ritasri Ghosh, Subhayu Das, Subarna Ghosh, Dr. Sangita Roy. "Fast pothole detection with the YOLO algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 8.4 (2022). www.IJARIIT.com.

Abstract

Roads play a very important role in our daily life for the transit of goods and passengers. So, we have to be very careful about all the activities which may lead to the damage of roads to avoid major or minor road accidents. One of the main causes of this accident is due to the potholes created on the roads. These potholes are caused by the augmentation and dwindle of ground water after the water has plunged into the ground under the footway. To avoid such incidents a real-time-based road damage identification system is required. Our project proposal is how a real-time-based pothole detection system can be developed to avoid such accidents in the future.