Intelligent Safety Helmet with Alcohol Level Monitoring System

Abstract—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. Index Terms—Smart Helmet, Alcohol Detection, Helmet-Wear Detection, Arduino, Road Safety, LED Display.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-23
DOI
https://doi.org/10.55041/ijsrem48451
Primary Topic
Fire Detection and Safety Systems
Type
article
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article

Intelligent Safety Helmet with Alcohol Level Monitoring System

Venkatesh Shankar
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Fire Detection and Safety Systems
article

Intelligent Safety Helmet with Alcohol Level Monitoring System

Venkatesh Shankar
article en

Abstract

Abstract—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. Index Terms—Smart Helmet, Alcohol Detection, Helmet-Wear Detection, Arduino, Road Safety, LED Display.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Gujarat Matikam Kalakari & Rural Technology Institute (IN)
Openalex Percentile: Top 87%
Fire Detection and Safety Systems
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