Smart Traffic System using Machine Learning
Traffic Light Detection System using Machine Learning, This project focuses on developing a system for real-time traffic light detection and providing corresponding audio outputs to assist individuals, especially those with visual impairments, in navigating roadways safely. Leveraging computer vision techniques, we employ deep learning algorithms to detect and recognize traffic lights from video streams captured by onboard cameras or external sources. Upon detection, the system generates audio cues indicating the status of the traffic light (e.g., green, yellow, or red).
Smart Traffic Management Using Deep Learning
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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