The study describes a novel intelligent car tracking system based on GSM-GPS that uses an Arduino UNO R3 as its core controller. The system integrates a wide range of sensors and communication modules in an attempt to reduce the increasing number of road accidents brought on by careless driving. The MQ-135 alcohol sensor, the ADXL345 accelerometer, the GPS NEO 6M V2 Module, the GSM SIM 800C, the L298N Motor DRIVER, the gear motor, and the Arduino UNO R3 are important parts. The approach guarantees victims receive prompt treatment and is designed to tackle the difficulties posed by accidents in isolated locations. The Arduino UNO is attached to every sensor, enabling intelligent functions. The ADXL345 accelerometer tracks sudden movements of the vehicle to prevent collisions. By measuring alcohol levels, the MQ-135 Alcohol sensor provides an additional degree of security. With real-time GPS monitoring, emergency responses may be facilitated quickly. In the event of an accident, alerts are sent to pre registered numbers via the GSM module. When sensor values surpass predetermined criteria, the system automatically sends notifications to pre registered numbers. Because the system is affordable and easily programmable thanks to the Arduino UNO, it may be widely implemented and used in a variety of automotive settings.


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    Titel :

    Automotive Safety Guardian: Advanced Collision and Alcohol Detection Blackbox


    Beteiligte:
    Kadu, Anil (Autor:in) / Laddha, Ayush (Autor:in) / Waghmare, Apurv (Autor:in) / Badani, Hriday (Autor:in) / Patel, Amay (Autor:in) / Awere, Janhavi (Autor:in)


    Erscheinungsdatum :

    03.05.2024


    Format / Umfang :

    2256794 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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