Enhancing Electric Vehicle Safety: Design and Development of Advanced Protection Systems

Abstract

The increasing adoption of electric vehicles (EVs) presents new challenges in ensuring driver safety. This research proposes a novel safety system for EVs utilizing NodeMCU controller, MQ3 alcohol sensor, and eye blink sensor. The system aims to detect alcohol consumption and driver drowsiness in real-time to prevent accidents. The MQ3 alcohol sensor measures alcohol vapor concentration in the cabin, while the eye blink sensor monitors the driver's eyelid movements. The NodeMCU controller processes the sensor data and triggers alerts when alcohol levels exceed a threshold or when patterns of eye blinks indicate drowsiness. The alerts can be visual, auditory, or wireless, ensuring timely intervention to mitigate risks. This safety system offers a promising solution to enhance safety in electric vehicles, contributing to the advancement of intelligent transportation systems.