AI-Driven Smart Vehicle Protection System for Drowsiness, Alcohol, Fire and Health Emergencies

S. Narayana, P . Bindusri, A. Yogeswari, P. Prudhvi, Y. Janardhana Rao, P. Pradeep, A. Sridhar

doi:10.64751/jj8v0s36

Authors

S. Narayana, P . Bindusri, A. Yogeswari, P. Prudhvi, Y. Janardhana Rao, P. Pradeep, A. Sridhar Author

DOI:

https://doi.org/10.64751/jj8v0s36

Keywords:

Driver Safety, Drowsiness Detection, Alcohol Detection, IoT, Raspberry Pi, AI, Fire Detection, Health Monitoring

Abstract

Road accidents remain a leading cause of fatalities worldwide due to driver fatigue, alcohol consumption, health emergencies, and fire hazards. This paper proposes an AI-Driven Smart Vehicle Protection System integrating Artificial Intelligence and IoT technologies using Raspberry Pi 4 as the central controller. The system interfaces with MAX30100 (heart rate), MQ-3 (alcohol), MQ-2 (smoke/fire) sensors, and an AIbased camera for drowsiness detection using Eye Aspect Ratio (EAR) analysis. When abnormal conditions are detected, the system activates buzzer alarms, LCD warnings, and automatically disables the vehicle engine via relay module. Real-time data is transmitted to a cloud-based IoT platform for remote monitoring. In fire emergencies, vehicle doors open automatically and fire suppression activates. Experimental evaluation demonstrates 94.5% drowsiness detection accuracy, 98.2% alcohol detection rate, sub-2-second response time, and 96.7% overall system reliability across 500 test scenarios