Vehicle model identification using neural network approaches

Cataloged from PDF version of thesis report.

Bibliografske podrobnosti
Main Authors: Mojumder, Uttam, Sarker, Toqi Tahamid, Monika, Gulnahar Mahbub, Ratul, Nurul Amin
Drugi avtorji: Mostakim, Moin
Format: Thesis
Jezik:English
Izdano: BRAC University 2017
Teme:
Online dostop:http://hdl.handle.net/10361/7715
id 10361-7715
record_format dspace
spelling 10361-77152022-01-26T10:04:57Z Vehicle model identification using neural network approaches Mojumder, Uttam Sarker, Toqi Tahamid Monika, Gulnahar Mahbub Ratul, Nurul Amin Mostakim, Moin Department of Computer Science and Engineering, BRAC University Vehicle model identification Neural network approaches Cataloged from PDF version of thesis report. Includes bibliographical references (page 42-43). This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. Our world is going through a constant phase of growth and advancement where the manufacture of vehicles has increased exponentially. Vehicles of different brands with different features and models are vastly available in all over the world. Along with the fact that vehicles are now a basic need, every individual is now able to afford a vehicle of their choice and status. Consequently, misdemeanors such as theft, accidents, damage done, relating to automobiles has also increased over the years. Identifying a specific model vehicle among these several brands of vehicles can be considered difficult. Our main goal is to find the details of a specific model of a transport from several unknown automobile’s datasets. Our system will help to identify a vehicle and its model using still pictures of any brand of car. We hope that in future we can extend it to a more advanced identifying system which can be used by the government to reduce all forms of transgressions towards vehicles. Uttam Mojumder Toqi Tahamid Sarker Gulnahar Mahbub Monika Nurul Amin Ratul B. Computer Science and Engineering 2017-01-31T04:16:00Z 2017-01-31T04:16:00Z 2016 12/14/2016 Thesis ID 13201033 ID 11110005 ID 12201007 ID 12201089 http://hdl.handle.net/10361/7715 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 43 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Vehicle model identification
Neural network approaches
spellingShingle Vehicle model identification
Neural network approaches
Mojumder, Uttam
Sarker, Toqi Tahamid
Monika, Gulnahar Mahbub
Ratul, Nurul Amin
Vehicle model identification using neural network approaches
description Cataloged from PDF version of thesis report.
author2 Mostakim, Moin
author_facet Mostakim, Moin
Mojumder, Uttam
Sarker, Toqi Tahamid
Monika, Gulnahar Mahbub
Ratul, Nurul Amin
format Thesis
author Mojumder, Uttam
Sarker, Toqi Tahamid
Monika, Gulnahar Mahbub
Ratul, Nurul Amin
author_sort Mojumder, Uttam
title Vehicle model identification using neural network approaches
title_short Vehicle model identification using neural network approaches
title_full Vehicle model identification using neural network approaches
title_fullStr Vehicle model identification using neural network approaches
title_full_unstemmed Vehicle model identification using neural network approaches
title_sort vehicle model identification using neural network approaches
publisher BRAC University
publishDate 2017
url http://hdl.handle.net/10361/7715
work_keys_str_mv AT mojumderuttam vehiclemodelidentificationusingneuralnetworkapproaches
AT sarkertoqitahamid vehiclemodelidentificationusingneuralnetworkapproaches
AT monikagulnaharmahbub vehiclemodelidentificationusingneuralnetworkapproaches
AT ratulnurulamin vehiclemodelidentificationusingneuralnetworkapproaches
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