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.


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    Titel :

    The Smart Helmet for Cyclists


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Chaki, Nabendu (Herausgeber:in) / Roy, Nilanjana Dutta (Herausgeber:in) / Chakraborty, Sanjay (Herausgeber:in) / Debnath, Papiya (Herausgeber:in) / Yang, Xin-She (Herausgeber:in) / Joshi, Kalpesh V. (Autor:in) / Raut, Amit (Autor:in) / Raut, Anurag (Autor:in) / Raut, Nupoor (Autor:in) / Raut, Pranav (Autor:in) ... [mehr]

    Kongress:

    International Conference on Data Analytics and Insights ; 2024 ; Kolkata, India July 25, 2024 - July 27, 2024



    Erscheinungsdatum :

    15.07.2025


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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