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dc.contributor.author Rasheed, Saira
dc.contributor.author Haroon, Wajeeha Noor
dc.contributor.author Supervised by Dr. Adil Masood Siddique
dc.date.accessioned 2020-11-13T06:19:43Z
dc.date.available 2020-11-13T06:19:43Z
dc.date.issued 2019-05
dc.identifier.other PCS-330
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/11647
dc.description.abstract The rapid increase in number of vehicles has caused many problems; traffic accidents, congestion and security issues, making it almost impossible for humans to accurately classify vehicles and store its data manually. It has become a necessity to develop smart solutions for this problem, due to advancements in technologies. Vehicle Classifier will help minimize the number of persons required to monitor incoming vehicles and will reduce time and money. Also, it will be helpful for security purposes. The idea of the project is to recognize any vehicle entering specific areas (Cantonment) through security cameras to keep record in the images extracted from the video cameras. Vehicle Classifier will detect, count and classify different types of vehicles in real-time traffic. On detection the result will be shown on the screen and the classification result will be stored in database. en_US
dc.language.iso en en_US
dc.publisher MCS en_US
dc.title Vehicle Classifier en_US
dc.type Technical Report en_US


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