Traffic sign recognition project with Source Code
Traffic Sign Recognition using Convolutional Neural Networks (CNN) to detect and identify the traffic sign from input images or videos. : If system should have to recognize “stop” sign and gave alert to drive to stop their vehicle, so it prevents accident. By using of traffic sign images that can be easily accessible from Kaggle website for training data, which are trained from road traffic sign images.
Traffic Signs Recognition using CNN and Keras in 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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