Advanced International Journal for Research

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Volume 6 Issue 6
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Design Evaluation of a Smart Helmet for Detecting Alcohol in Industry

Author(s) Dr. Enoch Larson Asuako, Mr. Kujar Amos Somirman, Dr. Samuel Adu-Gyamfi
Country Ghana
Abstract A smart helmet system that detects industrial workers' alcohol consumption in real time is designed, developed, and evaluated in this study with the goal of improving workplace safety. The combination of wireless communication and sensor technology allows for proactive monitoring to lower the number of accidents caused by alcohol. The system consists of an ESP32 microcontroller, a MQ3 alcohol sensor, and a Bluetooth/Wi-Fi communication module. Using the Arduino and Proteus platforms, it was created and tested at different distances (20–60 cm) and ethanol concentrations (0-400 ppm) in controlled settings. Experimental trials and a Likert-scale feedback survey from ten industrial workers were used to evaluate the system's accuracy, response time, and user satisfaction. For alcohol levels over 100 ppm, the smart helmet showed high detection accuracy (over 96%), with the best sensor performance at a distance of 20 cm. On average, 1.84 seconds were needed to trigger an alert. Statistically significant findings were validated by ANOVA and correlation analysis. Because of the weight of the device, users gave the system higher ratings for safety awareness and dependability but lower ratings for comfort. The MQ3 sensor's moderate cross-sensitivity, power limitations, and environmental conditions all affect how effective the helmet is. It is advised that ergonomic design be improved and that sweat-based or multi-sensor detection be included. A new IoT-enabled safety helmet that continuously monitors alcohol consumption is presented in this study, providing a scalable and reasonably priced way to enhance workplace safety and occupational health in industrial settings.
Keywords Smart Helmet, Alcohol Detection, Occupational Safety, ESP32, MQ3 Sensor, Real-Time Monitoring, IoT, Industrial Safety
Field Engineering
Published In Volume 6, Issue 6, November-December 2025
Published On 2025-11-20
DOI https://doi.org/10.63363/aijfr.2025.v06i06.2068
Short DOI https://doi.org/hbbz7v
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