Vehicle Classification and Counting using OpenCV Python
In this project, we will detect vehicle and classify it accordingly like two wheeler, four wheeler, bus, car, truck, etc. and further this project will count the number of vehicle passed through it. we used OpenCV ( a computer vision library) in Python.
This Vehicle Classification and Counting project using OpenCV have several advantages and practical uses in real-time including:-
- 1. Environmental Monitoring: Vehicle detection and counting can be used to reduce air pollution and traffic monitor by tracking the number of vehicles on the road and how much emission they produce in single day.
- 2. Traffic Monitoring: This project model can be used as a monitor real-time traffic and it provides accurate data on the number of vehicle passing through particular road.
Vehicle Detection using OpenCV Python
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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