Cycling alongside motorized vehicles poses significant risks of fatal accidents and injuries for cyclists. This paper introduces a novel solution: a smart helmet system designed to address these challenges and prevent mishaps. The system leverages integrated sensors for data collection, real-time data processing for analysis, and communication modules to deliver comprehensive safety solutions for cyclists. At its core, the system features an ESP-32 microcontroller, an MPU-6050 accelerometer for accident detection, and an ESP-32 CAM module for rear-view functionality. Additionally, turn-by-turn navigation is facilitated through haptic feedback (RMT-16) and LEDs. The primary objective is to create a unified ecosystem that seamlessly integrates various technologies to enhance cyclist safety, connectivity, and convenience on the road.
The Smart Helmet for Cyclists
Lect. Notes in Networks, Syst.
International Conference on Data Analytics and Insights ; 2024 ; Kolkata, India July 25, 2024 - July 27, 2024
Proceedings of International Conference on Data Analytics and Insights ; Kapitel : 25 ; 311-323
15.07.2025
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
MPU-6050 , Smart helmet , Accident prevention , ESP32CAM , RMT-16 , Communication , Real-time data transmission , Cyclist safety , ESP32 , Sensor integration , Navigation Systems and Data Security , Statistics, general , Artificial Intelligence , Engineering , Wireless and Mobile Communication , Data Structures and Information Theory
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