Vehicle Recognition Using CNN

We are designing the software with the help of Convolution Neural Network (CNN) with 25 layers of max pooling. The proposed work is achieved by python or MATLAB with Support Vehicle Machine (SVM) with HOG. The SVM is used first to recognize the vehicle and then CNN is used to split or classify them into domains and keyframes of a specific video. This automation can be used in toll gates, highways, heavy traffic surveillance, etc.