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IoT-Based Smart Helmet
Mr. M. Suresh Babu, M. Praneeth, R. Rishika, A. Jithendra, Shruthi Goud.P
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Abstract: This project focuses on the design and implementation of an IoT-based Smart Helmet System to enhance the safety of two-wheeler riders. Statistics indicate that a significant number of road accidents are caused by alcohol consumption, negligence, and fatigue. The proposed system integrates multiple sensors, including an alcohol sensor to detect the presence of alcohol in the riderβs breath and a detection mechanism to ensure helmet usage before vehicle ignition. The system also incorporates environmental monitoring to identify accident-prone zones. A communication module is used to send real-time alerts and emergency notifications in case of accidents. The integration of embedded systems and IoT technology enables real-time monitoring and preventive measures. This solution aims to reduce human errors, enforce safety compliance, and provide a cost-effective approach to minimizing road accidents and fatalities among two-wheeler users. This paper presents the design and implementation of an IoT-based smart helmet system aimed at enhancing the safety of two-wheeler riders. The proposed system integrates multiple sensors, including an alcohol sensor to detect the presence of alcohol in the riderβs breath and a helmet detection mechanism to ensure proper usage before vehicle ignition. An accident detection module is incorporated using motion and impact sensors to identify potential crashes in real time. In the event of an accident, a communication module sends immediate alerts and location details to emergency contacts. Additionally, environmental monitoring is utilized to identify accident-prone conditions. The integration of embedded systems and IoT technology enables real-time monitoring and preventive safety measures. This system aims to reduce road accidents caused by human error, enforce safety compliance, and provide a cost-effective solution for improving rider safety.
Keywords: Smart Helmet, IoT, Alcohol Detection, Accident Detection, Rider Safety, Sensors, Emergency Alert System, Two-Wheeler Safety.
Keywords: Smart Helmet, IoT, Alcohol Detection, Accident Detection, Rider Safety, Sensors, Emergency Alert System, Two-Wheeler Safety.
How to Cite:
[1] Mr. M. Suresh Babu, M. Praneeth, R. Rishika, A. Jithendra, Shruthi Goud.P, βIoT-Based Smart Helmet,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15712
