Parking Prediction Model Using Car Make and Model Recognition System for Malls in Smart Cities

length and height and models from a single image captured by a camera. The camera can capture the image in different lighting conditions. The car features are extracted, normalized, and classified using an ensemble of neural-network classifiers. In this technology, the performance of the proposed method is evaluated on a data set of practical car images. In the database different types of vehicle logos have been stored to recognize the vehicle. As people search for parking slot in peak hour, the traffic is congested. The results prove the effectiveness of the proposed method in vehicle detection and model recognition.