Automated Traffic Detection with Image Processing using Raspberry Pi

dc.contributor.authorDas, Sumon Kumar
dc.contributor.authorRahman, Md. Sanjadur
dc.date.accessioned2019-07-04T07:49:06Z
dc.date.available2019-07-04T07:49:06Z
dc.date.issued2018-12
dc.description.abstractThis 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.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/2691
dc.identifier.urihttp://hdl.handle.net/123456789/2691
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectComputer Science & Engineering
dc.subjectImage Processing
dc.titleAutomated Traffic Detection with Image Processing using Raspberry Pi
dc.typeOther

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