Traffic Sign Detection for Self Driving Cars using Computer Vision
Self-Driving Car Project using Machine Learning, In this project user can upload image or videos to ML model and it will detects road lane, traffic signs and autonomous steering according to curve. Simultaneously it will identify the person drowsiness state and it works on real-time. It is desktop based software developed using tkinter library.
The Self-Driving Car Project revolutionizes transportation by incorporating neural networks for autonomous vehicle control. This application utilizes advanced machine learning algorithms to process sensor data, recognize road conditions, and make real-time driving decisions. The neural networks’ ability to adapt to dynamic environments and diverse scenarios ensures safe and efficient autonomous driving. This project represents a significant stride towards the future of transportation, where vehicles can navigate without human intervention, enhancing road safety and transportation efficiency.
Real-Time Lane Detection for Self-Driving Cars using Computer Vision
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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