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Automated Traffic Detection with Image Processing using Raspberry Pi

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dc.contributor.author Das, Sumon Kumar
dc.contributor.author Rahman, Md. Sanjadur
dc.date.accessioned 2019-07-04T07:49:06Z
dc.date.available 2019-07-04T07:49:06Z
dc.date.issued 2018-12
dc.identifier.uri http://hdl.handle.net/123456789/2691
dc.description.abstract This project is on “Automated Traffic Detection with Image Processing using Raspberry Pi”. Dhaka, the capital of Bangladesh is the most densely populated city in the world and Traffic the ugliest side of Dhaka's development. The country is full of uneducated and undisciplined drivers who have no respect for the traffic rules and regulations. The tendency of breaking the law and overtaking of the drivers makes controlling the traffic harder for the traffic police. Sometimes this kind of tendency cause more traffic and sometimes it takes our lives. In recent times, the government has taken a few actions such as the enlargement of footpaths, building flyovers and footbridges, expanding the roads but yet, there was no advancement in the traffic condition. Our project will automatically detect the traffic rules breaker of that vehicle through live streaming video. So, police can file a case or catch the rule breaker of that vehicle instantly. Besides, it will also count the number of vehicles passing through a specific area. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.relation.ispartofseries ;P12203
dc.subject Computer Science & Engineering en_US
dc.subject Image Processing en_US
dc.title Automated Traffic Detection with Image Processing using Raspberry Pi en_US
dc.type Other en_US

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