License Verification System With Face Recognition Using IOT

Abstract

A Driving license identification system as a part of smart city development. Driving license system is a huge task for the government to monitor. Whenever the person gets the license that time, the face of the person is stored in the database. Haar-Cascade Classifier algorithm is used for face detection and Local Binary Pattern algorithm for recognition technology. The hardware components are cost effective, small in size and has sufficient computational power for application-oriented components. The frivolous nature of licence owners makes it hard to take care of the documents they hold and brings the job of police officers to critical state when verifying the details. This project prevails in the way for replacing the usage of hard copies with digital footprint. To overcome this problem face detection and finger print based license authentication system using IOT will be implemented. Raspberry pi is the brain of this system, which helps for face detection and face recognition. The USB camera gets interfaced with raspberry pi to get the data from user.All these data are uploaded to the cloud (IOT) through NodeMCU . It is used to find the person having license or not and also get the validation of the license. Whenever the person doesn’t have a legitimate license or if the license is already expired, the display indicates it is invalid and vice versa.