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Real Time Application of Vehicle Anti Theft Detection and Protection with Shock Using Facial Recognition and IoT Notification

Syed fasiuddin, Syed Omer, Khan Sohelrana, Amena Tamkeen, Mohammed Abdul Rasheed

202021 citationsDOI

Abstract

Enhancement in vehicle technology system is getting increased research popularity and adding a vehicle theft security system in order to avoid getting vehicle theft in the parking and sometimes driving in unsecured places. The proposed system provided security and better theft control by using facial recognition and giving shock treatment, when the unauthorized person try to start the ignition and will be notified by the IOT application. The system uses Microprocessor raspberry pi along with a pie cam and a WIFI controller installed in the vehicle the implemented system is very simple with greater security for vehicle anti -theft protection and low cost technique compared to others.

Topics & Concepts

Computer securityPopularityComputer scienceMicroprocessorFacial recognition systemBiometricsEmbedded systemReal-time computingArtificial intelligenceFeature extractionPsychologySocial psychologyVehicle License Plate RecognitionIoT and GPS-based Vehicle Safety SystemsVideo Surveillance and Tracking Methods
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