Fault Prediction System With Face And Biometric Using Convolutional Neural Networks

Document Type : Primary Research paper

Authors

1 Associate Professor Department of Information Technology Bannari Amman Institute Of Technology, Sathyamangalam, India

2 Post Graduate in Software Engineering Department ofInformation Technology Bannari Amman Institute Of Technology, Sathyamangalam India

3 Post Graduate in Software Engineering Department ofInformation Technology Bannari Amman Institute Of Technology, Sathyamangalam, India

4 Post Graduate in Software Engineering Department of Information Technology Bannari Amman Institute of Technology Sathyamangalam, India

Abstract

In our everyday lives, everybody is utilizing vehicles.In request to begin the
vehicle, the vehicle key is the best way to begin the vehicle or to give start to the engine.The
Multi model based vehicle starter framework actually replaces the vehicle start by
supplanting the key with explicit client face. This savvy vehicle framework is controlled by a
Raspberry pi circuit.Here we utilize a two way verification framework for making sure
about the vehicles.The techniques utilized here are Face acknowledgment and Biometric
Method.It contains LCD show, engine, signal, camera and a Fingerprint scanner. Here, the
Multiple validation framework takes numerous photographs of the individual and stores
this information into the database and simultaneously it takes a lot of fingerprints and
stores them in the database.when the driver goes into the vehicle, his face will be examined
by the camera and it should coordinate with the unique mark that is put away in the
database. On the off chance that both face and unique mark is coordinated, at that point the
vehicle starts.If an unapproved client attempts to gain admittance to the vehicle,the get to
gets denied,so that the engine doesn't turn over and empower signaling sound.Hence,it
encourages us to make sure about such wise vehicles in a more intelligent manner.

Keywords