Vehicle Anti-Theft Security System Using Face Recognition and IoT

Abstract

Vehicle theft is a growing concern requiring intelligent security solutions beyond traditional key-based ignition systems. This paper presents a Vehicle Anti-Theft Security System integrating face recognition with IoT-based remote monitoring using Raspberry Pi. The system captures the driver's face via a Pi Camera and verifies identity using a face recognition algorithm trained on authorized user images. Only recognized faces can activate the vehicle ignition through a relay-controlled circuit. Unauthorized access attempts trigger a buzzer alarm, LCD warning, and IoT alert notification to the vehicle owner's smartphone. The system also enables remote engine immobilization through the IoT platform. Evaluation demonstrates 96.3% face recognition accuracy, sub-2-second authentication time, and 100% unauthorized access alert rate across 300 test scenarios.