Object detection or recognition on number plates using python

Object detection is, as you know, an important task in the field of computer vision object or detection of an object and recognition, the processing of an image is an important research field for past couple of years. It intends to accurately identify and detect the position of objects of pre-defined categories on particular image. One of the use cases of object detection is a Real-Time ANPR (Automatic Number Plate Recognition), when we consider the importance of object detection and recognition in visual surveillance. In this paper, we provide object detection frameworks using TensorFlow Object Detection API which will detect and recognize the object and after the recognization, it will store the recognized object in the CSV files for the future reference for computation. It will recognized number plates and then the plates will be stored in CSV files on user's system, also removes the blurring of an image to recognize the number plate fully.