UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1905360


Registration ID:
209660

Page Number

436-439

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Title

Computer Vision Based E-Toll Collection System

Abstract

Many highway toll collection systems have already been developed and are widely used in India. Some of these include Manual toll collection, RF tags, Barcodes, Number plate recognition. All these systems have disadvantages that lead to some errors in the corresponding system. This paper presents a brief review of toll collection systems present in India, their advantages and disadvantages and also aims to design and develop a new efficient toll collection system which will be a good low cost alternative among all other systems. The system is based on Computer Vision vehicle detection using Open CV library in Embedded Linux platform. The system is designed using Embedded Linux development kit (Raspberry pi).In this system, a camera captures images of vehicles passing through toll booth thus a vehicle is detected through camera. Depending on the area occupied by the vehicle, classification of vehicles as light and heavy is done. Further this information is passed to the Raspberry pi which is having web server set up on it. When raspberry pi comes to know the vehicle, then it access the web server information and according to the type of the vehicle, appropriate toll is charged.This system can also made to count moving vehicles from pre-recorded videos or stored videos by using the same algorithm and procedure that we follow in this paper. The proposed system aims to design and develop a new efficient toll collection system which will be a good low cost alternative among all other systems. Computer Vision based techniques are more suitable because these systems do not disturb traffic while installation and they are easy to modify. The proposed system is portable and Computer Vision based system for moving vehicle detection and counting. A camera captures images of vehicles passing through toll booth thus a vehicle is detected through camera. Depending on the area occupied by the vehicle, classification of vehicles as light and heavy is done. Further this information is passed to the Raspberry pi which is having web server set up on it. When raspberry pi comes to know the vehicle, then it access the web server information and according to the type of the vehicle, appropriate toll is charged.

Key Words

Toll Collection System; Vehicle Detection; Open CV

Cite This Article

"Computer Vision Based E-Toll Collection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.436-439, May-2019, Available :http://www.jetir.org/papers/JETIR1905360.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Computer Vision Based E-Toll Collection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp436-439, May-2019, Available at : http://www.jetir.org/papers/JETIR1905360.pdf

Publication Details

Published Paper ID: JETIR1905360
Registration ID: 209660
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 436-439
Country: tirupathi, chittoor distrct, andhra pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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