Smart Vehicle Security and Face Authentication
Abstract
The Smart Vehicle Security with Facial Authentication is an advanced embedded system that assists in securing a vehicle through real-time, camera-based user recognition. Using a USB webcam connected to a Raspberry Pi 4, it analyses a live video feed to detect faces, process their features, and grant or deny access without relying on traditional keys or key fobs. The system compares detected faces against a pre-trained database of authorized users. The processed data is used to trigger an actuator (such as a relay) to unlock the vehicle or enable the ignition. This cost-effective and robust system enhances vehicle security, provides a keyless and secure authentication method, and is more flexible than traditional alarms. It effectively blends modern computer vision with embedded systems for a smart, reliable security experience. The study highlights the potential of biometric-based authentication in developing secure, intelligent, and user-friendly vehicle security systems suitable for modern smart transportation environments.
References
Mahesh R. Pawar & Imad Rizvi, “Vehicle Security Systems using Face Recognition based on Internet of Things” IEEE Xplore 2024.
Rachit Jain, Pragati Raizada, Ajay Kumar Kushwaha & Shagun Saboo. “Vehicle Anti- Theft Face Recognition System Based on IoT using Raspberry Pi4” SpringerLink 2024.
Mayank Pathak, Kamta Nath Mishra, Satya Prakash Singh & Alok Mishra, “An Automated Smart Centralised Vehicle Security System for Controlling the Vehicle Thefts/Hacking Using IoT and Facial”, ScienceDirect 2023.
Ghulam Muhammad & M. Shamim Hossain, “Intelligent Face Recognition Based Multi- Location Linked IoT Based Car Parking System”, ResearchGate 2025.
Syed Fasiuddin, Syed Omer, Khan Sohelrana & Mohammed Abdul Rasheed, “Real Time Application of Vehicle Anti-Theft Detection and Protection with Shock Using Facial Recognition and IoT Notification”, Google Scholar 2024.
Refbacks
- There are currently no refbacks.