Road accidents are a major global concern, especially involving two-wheeler riders. Many of these accidents are due to drunk driving, drowsiness, or not wearing a helmet. The IoT Based Smart Helmet aims to reduce these risks by integrating safety features directly into the helmet. This project incorporates alcohol detection, drowsiness detection, helmet wear detection, and theft detection to ensure the rider’s safety and enforce responsible riding behavior.
Working Principle
The system is designed to prevent the bike from starting unless all safety conditions are satisfied:
- IR sensor detects if the helmet is worn.
- MQ-3 sensor checks for alcohol in breath.
- If alcohol is detected, buzzer sounds and vehicle stays off.
- Drowsiness detection monitors rider’s alertness.
- RF transmitter sends data from helmet to vehicle.
- Vehicle starts only if all safety conditions are met.
Transmitter Side
- Arduino UNO R3
- 433 MHz RF Transmitter
- IR Sensor - wear detection and drowsiness detection
- MQ-3 Sensor - alcohol detection
- LED & Buzzer
- Helmet
- Breadboard
Receiver Side
- Arduino UNO R3
- 433 MHz RF Receiver
- 16x2 LCD Display with I2C Module
- 1-Channel Relay Module
- LED & Buzzer
- Breadboard
Applications
- Two-Wheeler Safety
- Smart Transportation
- Theft Prevention
- Educational Tool
For full assembly details and code : Smart Helmet using Arduino
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