Pothole Detection Using Dashcam

Registration ID: IJNRD_215602

Published ID: IJNRD2403257

DOI: Click Here to Get

Deep Sheth , Pratik Shahdadpuri , Vivek Sevak , Arzoo Busa , Shivendra Dubey

Potholes are a common problem in road infra-structure and can lead to accidents, vehicle damage, and traffic congestion. In recent years, with the increasing availability of dash cameras in vehicles, there has been growing interest in using them to automatically detect and report potholes on the road. This paper presents an approach for pothole detection using dash cameras, which involves capturing video footage of the road and processing it using computer vision techniques. The proposed approach uses a combination of image processing algorithms and machine learning techniques to detect and classify potholes from the video stream. The algorithm first extracts frames from the video and applies a pre-processing step to enhance the contrast of the images. It then uses edge detection and texture analysis techniques to identify regions that potentially contain potholes. These regions are further processed using a deep learning model to classify them as either potholes or non-potholes. The experimental results show that the proposed approach can accurately detect potholes in real-time with high precision and recall rates. The approach is also tested on a large data set of road images captured from different dash cameras and is found to be robust to different lighting and weather conditions. The proposed approach has the potential to provide a low-cost and efficient solution for pothole detection and can be integrated into existing dash camera systems. The system can then alert drivers to the presence of potholes and help road maintenance authorities to quickly identify and repair potholes before they cause accidents or damage to vehicles.

Published Paper   E-Certificate

Deep Sheth, Pratik Shahdadpuri, Vivek Sevak, Arzoo Busa, & Shivendra Dubey (March-2024). Pothole Detection Using Dashcam. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), c448-c453. https://ijnrd.org/papers/IJNRD2403257.pdf

Volume 9 Issue 3, March-2024

Pages : c448-c453

Paper Reg. ID: IJNRD_215602

Published Paper Id: IJNRD2403257

Downloads: 000121977

Research Area: Computer Science & Technology 

Country: Vadodara, Gujarat, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403257.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403257

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details