Smart Apps - Automated Number Plate Recognition System

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dc.contributor.author Chin, Kim On
dc.contributor.author Connie, Liew
dc.date.accessioned 2021-09-08T16:03:34Z
dc.date.available 2021-09-08T16:03:34Z
dc.date.issued 2021-09
dc.identifier.uri http://oer.ums.edu.my/handle/oer_source_files/1599
dc.description.abstract None of the dashboard camera available in the market is capable to localize and recognize car plate and hence it is not suitable to be used in accident tracking, car robbery, and bag thief smashes car window purposes. An android based system could replace the dashboard camera as the hardware design of smartphone is much powerful compared to any dashboard camera. This research aims to develop an android based apps that capable to localize and recognize and car plate using Artificial Neural Neural (ANN) controllers. This research aims to 1) develop an android app that can autonomously localize multiple car plates, 2) develop app that capable to recognize the captured car plates, and 3) develop an app that is able to localize and recognize > 95% of captured number plates with very minimal cost. This proposed app could be very useful to track/prevent crimination especially those related to car robbery, window smasher by motorbike rider, accident tracking and probably kidnapping case. en_US
dc.language.iso en en_US
dc.publisher YouTube Channel en_US
dc.subject Number Plate Recognition en_US
dc.subject Artificial Neural Networks en_US
dc.subject Image Processing en_US
dc.subject Mobile App Development en_US
dc.title Smart Apps - Automated Number Plate Recognition System en_US
dc.type Video en_US
dc.resources.url https://www.youtube.com/watch?v=ZdnrUvoIIuI en_US


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