Intelli-Helmet for Motorcycles Using Internet Of Things

Transport may be an essential requirement for the society. It makes human life simple and comfortable. It causes the passing of people and damages any part of the body. To avoid the particular action, we attempt to actualize a framework that is a Mishap discovery and informing framework utilizing Bluetooth-based Portable Application. In this framework, the vibration sensor is utilized as an input to the framework and the microcontroller analyzes the reaction by comparing it. In the event that mishap happens, sensors perusing exceed the limit, and it takes the suitable activity. The system sends an SMS alert to specialists, ensuring quick assistance for accident victims. It also monitors driver activity, detecting signs of intoxication before starting the vehicle or while driving. The proposed embedded approach delivers promising results in enhancing road safety.

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Publication Details

Published
2025-03-07
DOI
https://doi.org/10.1109/csnt64827.2025.10968588
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
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article

Intelli-Helmet for Motorcycles Using Internet Of Things

Karthikeyan Sekar, Dilipkumar Rajendran, M. Sangeetha, Gowtham Balasubbiramani
Smart Systems and Machine Learning
article

Intelli-Helmet for Motorcycles Using Internet Of Things

Karthikeyan Sekar, Dilipkumar Rajendran, M. Sangeetha, Gowtham Balasubbiramani
article en

Abstract

Transport may be an essential requirement for the society. It makes human life simple and comfortable. It causes the passing of people and damages any part of the body. To avoid the particular action, we attempt to actualize a framework that is a Mishap discovery and informing framework utilizing Bluetooth-based Portable Application. In this framework, the vibration sensor is utilized as an input to the framework and the microcontroller analyzes the reaction by comparing it. In the event that mishap happens, sensors perusing exceed the limit, and it takes the suitable activity. The system sends an SMS alert to specialists, ensuring quick assistance for accident victims. It also monitors driver activity, detecting signs of intoxication before starting the vehicle or while driving. The proposed embedded approach delivers promising results in enhancing road safety.

Affordable and clean energy
Openalex Percentile: Top 92%
Smart Systems and Machine Learning
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