IoT-Based Intelligent Helmet with Accident Response

International Journal of Emerging Research in Science, Engineering, and Management
Vol. 1, Issue 6, pp. 26-34, December 2025.

https://doi.org/10.58482/ijersem.v1i6.4

This work is licensed under a Creative Commons Attribution 4.0 International License.

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IoT-Based Intelligent Helmet with Accident Response

K.G. Mohanavalli

D.Varalakshmi

A.Manasa

K. Santhosh

P. Sneha

M. Navya

Department of CSE, Siddartha Institute of Science and Technology, Puttur, India.

Abstract: Road accidents involving two-wheeler riders continue to be a significant cause of fatalities due to improper helmet usage, delayed accident detection, and lack of immediate emergency response. Conventional helmets offer only passive protection and fail to provide real-time monitoring or automated communication during accidents. This paper presents an IoT-based Intelligent Helmet with Accident Response, designed to actively enhance rider safety through helmet-wear enforcement, automatic accident detection, and real-time emergency alert generation. The proposed system employs a limit switch to ensure helmet compliance, a MEMS accelerometer to detect abnormal head movements indicating accidents, and an Arduino Uno as the central control unit. Upon accident detection, the rider’s location is obtained using a GPS module, and emergency alerts are transmitted via a GSM module to predefined contacts. Additionally, system data, including helmet status, motion data, and location information, is uploaded to the ThingSpeak IoT cloud platform for real-time monitoring and tracking. The proposed solution is cost-effective, reliable, and suitable for real-world deployment, offering a proactive safety mechanism that significantly reduces emergency response time and improves riders’ survival rates.

Keywords: IoT, Smart Helmet, Accident Detection, MEMS Sensor, GPS, GSM, Rider Safety, ThingSpeak.

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This article is part of Volume 1, Issue 6 (December 2025)