IoT-Based Vehicle Security System: Real-Time Monitoring and Event Logging

Velasquez-Jimenez L.; Marrujo-Ingunza C.; Rubiños-Jimenez S.; Grados-Gamarra J.; Grados-Espinoza H. · International Journal of Safety and Security Engineering (2025) · DOI: 10.18280/ijsse.150512

Resumen

This study presents the development of a vehicle security system based on the Internet of Things (IoT), integrating motion, vibration, ultrasonic, GPS, and facial recognition sensors. The system sends real-time alerts and records events through a web application, enhancing safety in risk scenarios. It uses an embedded architecture with Raspberry Pi and programmable modules, implementing data processing algorithms to detect anomalous events. Sensors were calibrated to reduce false alarms and increase detection accuracy. Tests were conducted on 30 sedan vehicles in Metropolitan Lima, simulating realistic conditions. Results showed 87.2% accuracy in facial recognition, 90.6% efficiency for the motion sensor, and 92.6% accuracy in GPS tracking. The vibration sensor reached 84%, and the ultrasonic sensor showed 72.7%, with reduced performance due to obstacles. A user satisfaction survey yielded an average rating of 4.6/5, highlighting the system’s ease of use, alert quality, and reliability. These findings validate the system’s technical feasibility and user acceptance. The solution is scalable and adaptable, ideal for vehicle fleets, public transport, or urban surveillance, and sets the foundation for future improvements using AI and computing for enhanced real-time analysis.

Instituciones: Universidad Nacional del Callao; Universidad de Ciencias y Humanidades