Intelligent Safety Helmet with Alcohol Level Monitoring System

Alcohol-impaired driving and neglect of helmet usage are major contributors to road accidents and fatalities. To solve these problems, this study presents the creation of a Smart Helmet system integrating alcohol detection, helmet- wear detection, and an LED display, utilizing Arduino technol- ogy. An MQ-3 sensor installed within the helmet monitors the rider’s breath for alcohol content. If the alcohol concentration exceeds a predefined threshold, the system displays immediate warning messages on the LED screen. Additionally, a helmet- wear detection mechanism confirms that the system only activates fully when the s a f e t y g e a r is properly worn, alerting the rider if the helmet is not in place. This dual-safety approach aims to promote responsible behavior without requiring modifications to the E n g i n e s t a r t system. The design emphasizes real- time monitoring, cost-effectiveness, and user- friendly operation. Experimental results validate the reliability and responsiveness of the system, demonstrating its potential to enhance rider safety and significantly reduce alcohol-related and helmet-related road accidents.