Face Recognition for Motorcycle Engine Ignition with Messaging System

TL;DR

This paper presents a smart anti-theft vehicle security system that uses face recognition combined with GPS and GSM to prevent unauthorized access and locate stolen vehicles efficiently.

Contribution

It introduces an integrated embedded system that combines face recognition with GPS and GSM for enhanced vehicle security and theft prevention.

Findings

Effective face recognition for vehicle start authorization

Real-time vehicle location tracking

Cost-effective anti-theft solution

Abstract

In this current world where technology is growing up day by day and scientific researchers are presenting new era of discoveries, the need for security is also increasing in all areas. At present, the vehicle usage is basic necessity for everyone. Simultaneously, protecting the vehicle against theft is also very important. Traditional vehicle security system depends on many sensors and cost is also high. When the vehicle is stolen, no more response or alternative could be available to help the owner of the vehicle to find it back. The main goal of this paper is to protect the vehicle from any unauthorized access, using fast, easy-to-use, clear, reliable and economical face recognition technique. An efficient automotive security system is implemented for anti-theft using an embedded system for starting the engine by the use of face recognition and integrated with Global Positioning System (GPS) and Global System for Mobile Communication (GSM). This proposed work is an attempt to design and develop a smart anti-theft system that uses Face recognition, GPS and GSM system to prevent theft and to determine the exact location of vehicle.