VEHICLE NUMBER PLATE, SPEED AND TYPE DETECTION USING DEEP NEURAL NETWORK
Visual identification of the vehicle number plates and detecting the speed of the vehicle in a crowded traffic is a tedious process for humans. This paper proposes a detection technique that detects the vehicle number, it's speed and the type of the vehicle automatically by using deep neural network with MobileNet architecture. The proposed model starts with character recognition and identification based on the number plate extraction and template matching. Moreover, the advantages of this technique are that it doesn't required the size of the number plate for detection. The MobileNet architecture in deep neural network reduces the average computation time, size and number of layers and offers very less overfitting as compared to the other neural networks. By using the deep neural network, we can identify the speed, number and type of the vehicle more accurately while compared to the other existing image processing methods Keywords Image processing, Deep Neural Network, Character recognition, template matching, MobileNet architecture