Autonomous Recognition Model

Nowdays we are witnessing the technology transforming everything way used to do things and how automobile industry is itself with use of IOT, Artificial intelligence, Machine learning. Companies shifting its products utilities in diferent they now want acquire introduce level-5 autonomous future generation big companies trying achieve vechicles have researhed about model that will help assisting that. We develop this technologies like learning, Deep Autonomous vehcicles become a reality on our roads near future. However, absence human driver requires technical solutions for range issues, these still being developed optimised. It great contribution automotive which going towards innovation economic growth. If talking some past decade momentum new research world at very advanced stage technological revolution. “Autonomous-driving” vehicles. The term Self-driving cars, car, or driverless cars different name common objective. main focus keep out vehicle control loop relieve them from task driving. Everyday researchers solve challenges. In future, without assistance, robots produce vehicles using IoT based customer needs prefer more secure comfortable mobility systems such as movement people goods. build deep neural network can classify traffic signs present image into categories. With model, able read understand important all .This tested it resulted 95% accuracy.