Vehicle model identification using neural network approaches
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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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1814307109155635200 |