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Autonomous Car based on Neural Network

Autonomous vehicles will frame the foundation of future cutting edge in transportation giving travel relaxation, road protection, alongside various worth added services. Such a change which will be fueled by boosts in technologies for machine learning and wireless communication will empower a future vehicular biological system that is better highlighted and more proficient. These days, endeavors are being made to give insignificant control to man over the vehicle. The point is to decrease fender benders and give individuals an agreeable climate which is the justification for turning into an autonomous vehicle. The benefits of autonomous vehicles, like less car accidents, expanded dependability, expanded street limit, diminished gridlock just as decrease of traffic police and care protection, despite the fact that we need to beat the issues of network safety, software dependability, and loss of driver related jobs. Our system is focused on a vehicle that is agreeable and affordable for people. Our autonomous car will navigate itself through the track with the help of computer vision technique. User will be capable to observe the stay view from the webcam so that it will be connected to the car. Lane detection algorithm is used to provide the required control to the car that is built through neural networks. People are free to concentrate on other work or to relaxation all through their trips.