![]() ![]() The earlier stages require higher accuracy or almost MotivationĪutomatic License Plate Recognition (ALPR) has been a frequent topic of research due to many practical applications, such as automatic toll collection, traffic lawĮnforcement, private spaces access control and road traffic monitoring.ĪLPR systems typically have three stages: License Plate (LP) detection, character segmentation and character recognition. This is a four phased Object Detection project mainly focussing on detecting Vehicle's license plates and thereby reading the license number and saving them in a text file for use by the concerned authority.This Deep Learning Project uses YOLOv4(You Only Look Once) as its Neural Network Architecture which is made above a framework called Darknet.It is then made deployment ready with Tensorflow Lite making it compatible for using it in various edge devices such as android, iOS, raspberry Pi etc. Automatic Number Plate Recognition □□ Table of Content
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