Vehicle classification through detection and color segmentation of registration plates running on raspberry Pi 3 model B

© BEIESP. Classification of license plates provides useful information regarding the nature of the vehicle, whether it is used for public transport, a privately-owned vehicle, an official vehicle, or a special vehicle. In the Philippines, the registration plates of vehicles are classified by colors....

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Main Authors: Ferrolino, Louielito, Brillantes, Allysa Kate, Cabatuan, Melvin, Jose, John Anthony C., Dadios, Elmer Jose P.
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Published: Animo Repository 2019
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3020
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Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-4019
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-40192022-08-04T02:07:10Z Vehicle classification through detection and color segmentation of registration plates running on raspberry Pi 3 model B Ferrolino, Louielito Brillantes, Allysa Kate Cabatuan, Melvin Jose, John Anthony C. Dadios, Elmer Jose P. © BEIESP. Classification of license plates provides useful information regarding the nature of the vehicle, whether it is used for public transport, a privately-owned vehicle, an official vehicle, or a special vehicle. In the Philippines, the registration plates of vehicles are classified by colors. Colors such as red, green blue, black, yellow are used to identify what vehicle classification the plate belongs to. The information is useful to applications in statistics and transport regulation. This paper discusses a convolutional neural network based embedded system that runs on Raspberry Pi 3 Model B. The said system provides a process of classifying vehicles using plate detection using Convolutional Neural Networks and color thresholding of registration plates using the RGB color space. TensorFlow and OpenCV libraries were utilized for the detection and classification. 2019-08-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3020 Faculty Research Work Animo Repository Automobile license plates Vehicle detectors Neural networks (Computer science) Raspberry Pi (Computer)
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Automobile license plates
Vehicle detectors
Neural networks (Computer science)
Raspberry Pi (Computer)
spellingShingle Automobile license plates
Vehicle detectors
Neural networks (Computer science)
Raspberry Pi (Computer)
Ferrolino, Louielito
Brillantes, Allysa Kate
Cabatuan, Melvin
Jose, John Anthony C.
Dadios, Elmer Jose P.
Vehicle classification through detection and color segmentation of registration plates running on raspberry Pi 3 model B
description © BEIESP. Classification of license plates provides useful information regarding the nature of the vehicle, whether it is used for public transport, a privately-owned vehicle, an official vehicle, or a special vehicle. In the Philippines, the registration plates of vehicles are classified by colors. Colors such as red, green blue, black, yellow are used to identify what vehicle classification the plate belongs to. The information is useful to applications in statistics and transport regulation. This paper discusses a convolutional neural network based embedded system that runs on Raspberry Pi 3 Model B. The said system provides a process of classifying vehicles using plate detection using Convolutional Neural Networks and color thresholding of registration plates using the RGB color space. TensorFlow and OpenCV libraries were utilized for the detection and classification.
format text
author Ferrolino, Louielito
Brillantes, Allysa Kate
Cabatuan, Melvin
Jose, John Anthony C.
Dadios, Elmer Jose P.
author_facet Ferrolino, Louielito
Brillantes, Allysa Kate
Cabatuan, Melvin
Jose, John Anthony C.
Dadios, Elmer Jose P.
author_sort Ferrolino, Louielito
title Vehicle classification through detection and color segmentation of registration plates running on raspberry Pi 3 model B
title_short Vehicle classification through detection and color segmentation of registration plates running on raspberry Pi 3 model B
title_full Vehicle classification through detection and color segmentation of registration plates running on raspberry Pi 3 model B
title_fullStr Vehicle classification through detection and color segmentation of registration plates running on raspberry Pi 3 model B
title_full_unstemmed Vehicle classification through detection and color segmentation of registration plates running on raspberry Pi 3 model B
title_sort vehicle classification through detection and color segmentation of registration plates running on raspberry pi 3 model b
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/3020
_version_ 1740844735414665216