Vehicle Detection Using Artificial Intelligence For Traffic Surveillance


The main purpose of the project is to create a system that can monitor the movement of the vehicle. Vehicle tracking applications play a crucial role in traffic management like highway traffic surveillance control and planning of urban traffic. Vehicle tracking processes are used for tracking vehicles, counting vehicles, traffic analysis and categorizing different vehicles and it can be carried out under various environmental changes. Therefore, we can use this model on a traffic light camera to reduce traffic congestion on roads. If we can integrate vehicle detection system in a traffic light camera, we can easily track a number of useful things simultaneously such as the numbers of vehicles that are present at the traffic junction during the day, the time in which the traffic builds up, the type of vehicles that are traversing the junction(heavy vehicles, cars, etc.).This system can help us to reduce the traffic and disperse it through a different street. Keywords: Vehicle detection, Traffic surveillance, Real time computer vision, Morphological image processing.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL