Vehicle Detection And Speed Tracking using OpenCV Python
Vehicle Speed Detection and Vehicle Classification using Machine Learning. In this project user have to upload any input video to machine learning model and first it will detect the vehicle and try to classify the type of vehicle like car, motorcycle, bus, truck, etc. and simultaneously it will count the total number of vehicle passing through that imaginary line.
This project is about Vehicle Over Speed Detection and Extract Number from License Plate if they violates traffic rules. User have to upload any input video to software and this project will first detect the vehicle and simultaneously it will count the number of vehicle passing through that particular line, if the passing vehicle is over speeding then it will detect that particular vehicle and it will extract license plate from that vehicle and it will stored in database.
Car Speed Detection using OpenCV & Pytorch
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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