Automated License Plate detection and Speed estimation of Vehicle Using Machine Learning - Haar Classifier Algorithm

Dr. M. Babu; P. Devi Mahalakshmi

Title:
Automated License Plate detection and Speed estimation of Vehicle Using Machine Learning - Haar Classifier Algorithm

Authors:
P. Devi Mahalakshmi | Dr. M. Babu

Cite This Article :

P. Devi Mahalakshmi | Dr. M. Babu "Automated License Plate detection and Speed estimation of Vehicle Using Machine Learning - Haar Classifier Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6, October 2020, pp.487-491, URL: https://www.ijtsrd.com/papers/ijtsrd33395.pdf

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Abstract :
A well-ordered traffic management system is required in all types of roads, such as off roads, highways, etc. There has been several laws and speed controlled measures are taken in all places with different perspectives. Also Speed limit may vary from road to road. So there are number of methods has been proposed using computer Vision and machine learning algorithms for object tracking. Here vehicles are recognized and detected from the videos that taken using surveillance camera. The aim is to identification of the vehicles and tracking using Haar Classifier, then determine the speed of the vehicle and Finally Detecting the License plate of the vehicle. Detecting the License plate and vehicle speed using machine learning is tough but beneficial task. For the past few years Convolution Neural Network (CNN) has been widely used in computer vision for vehicle detection and identification. Dlibs are used to track the multiple objects at the same time.

Keywords :
License plate Detection, Character Recognition, Speed estimation, Vehicle detection, HaarClassifier, dlibs

Publication Details:

Unique Identification Number : IJTSRD33395

Published In : Volume-4 | Issue-6, October 2020

Page Number(s) : 487-491

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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