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Traffic Rules Violation Detection using AI and Machine Learning

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dc.contributor.author Irtaqa Naveed, Supervisor By Dr Yassar Ayyaz
dc.date.accessioned 2020-12-16T11:11:54Z
dc.date.available 2020-12-16T11:11:54Z
dc.date.issued 2020
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/18503
dc.description.abstract This system is being designed to ensure a safe and smooth flow of traffic on roads of Pakistan. As static cameras do not serve the purpose completely, this system is based on dashboard camera video/image processing to ensure the obedience of traffic rules in dynamic environment. Not all the traffic rules can be detected with the help of camera i.e driving without a license. This system detects the following: 1. Running Red Light 2. Wrong indicators 3. Wrong overtaking 4. Driving on wrong way After detecting a violation, a short video clip of 7 to 10 sec would be sent to traffic police portal and database record would be maintained in firebase. A traffic personnel would accept or reject the request based on the video, for generation of challan. en_US
dc.language.iso en_US en_US
dc.publisher SMME en_US
dc.relation.ispartofseries SMME-TH-522;
dc.title Traffic Rules Violation Detection using AI and Machine Learning en_US
dc.type Thesis en_US


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  • MS [204]

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