dc.contributor.advisor |
Dailey, Matthew N. |
|
dc.contributor.author |
K.C., Dharma Raj |
|
dc.contributor.other |
Guha, Sumanta |
|
dc.contributor.other |
Ekpanyapong, Mongkol |
|
dc.date.accessioned |
2017-04-27T01:50:44Z |
|
dc.date.available |
2017-04-27T01:50:44Z |
|
dc.date.issued |
2017-04-26 |
|
dc.identifier.other |
AIT |
|
dc.identifier.uri |
http://www.cs.ait.ac.th/xmlui/handle/123456789/848 |
|
dc.description |
91 p. |
en_US |
dc.description.abstract |
Today, road accidents are one of the major causes of human deaths. Among the different type of
road accidents, motorcycle accidents are common in Asia and cause severe injuries. The helmet
is the main protection device for motorcyclists. Most countries have rules for use of helmets but
many people fail to follow these rules for various reasons. One solution is a robust system that can
find the motorcyclists who are violating helmet rules and record the evidence necessary for legal
action.
This thesis paper presents the use of deep convolutional neural networks (DCNNs) for finding
motorcyclists who are violating helmet rules. I describe incremental development of a DCNN
and an evaluation in terms of accuracy and speed for finding motorcyclists who are violating the
helmet use rules. The license plate character DCNN provides highly accurate and fast character
recognition of Thailand license plates. |
en_US |
dc.description.sponsorship |
AIT Fellowship |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
AIT |
en_US |
dc.subject |
deep learning |
en_US |
dc.subject |
convolutional neural networks |
en_US |
dc.subject |
helmet violation classification |
en_US |
dc.subject |
character recognition |
en_US |
dc.title |
Helmet Violation Processing Using Deep Learning |
en_US |
dc.type |
Thesis |
en_US |