International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 6
November-December 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Automatic Vehicle Speed Controlling System by Detecting Traffic sign boards, Potholes and Speed bumps

Author(s) Salma P S, Minu Mohan
Country India
Abstract In an effort to reduce accidents and promote adherence to traffic laws, this study attempts to detect and identify potholes, speed bumps, and traffic sign boards in a variety of backgrounds and lighting conditions. The "Automatic Vehicle Speed Controlling System by Detecting Traffic Sign Boards, Potholes, and Speed Bumps" is a cutting-edge automotive safety and control system designed to increase road safety and manage vehicle speed. To enable autonomous real-time recognition and interpretation of potholes, speed bumps, and traffic signs, as well as to regulate the vehicle speed in accordance with the detected feature, the system incorporates advanced technologies such as computer vision, deep learning, and embedded systems. This work provides a novel solution to these issues by autonomously detecting potholes, speed bumps, and traffic sign boards on highways by utilizing deep learning algorithms and image processing capabilities. In this technology, photos captured by cameras mounted on vehicles are analysed using computer vision algorithms. By using a deep learning algorithm, the system can accurately identify and classify traffic sign boards and abnormalities in the road, including potholes and speed bumps, from the recorded data. Based on this classification, the system may adjust the vehicle's speed.
Keywords Deep Learning, Computer vision, Open CV, Automatic Vehicle Speed Controlling System (AVSCS)
Field Engineering
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-02
Cite This Automatic Vehicle Speed Controlling System by Detecting Traffic sign boards, Potholes and Speed bumps - Salma P S, Minu Mohan - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.21913
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.21913
Short DOI https://doi.org/gtxrn6
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 6Cover Page Vol 6 Isu 5Cover Page Vol 6 Isu 4

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com