  With ever increasing number of vehicles, vehicular tracking is one of the
major challenges faced by urban areas. In this paper we try to develop a model
that can locate a particular vehicle that the user is looking for depending on
two factors 1. the Type of vehicle and the 2. License plate number of the car.
The proposed system uses a unique mixture consisting of Mask R-CNN model for
vehicle type detection, WpodNet and pytesseract for License Plate detection and
Prediction of letters in it.
