The Smart Safety System is designed to enhance road safety by monitoring both the driver and passenger activities and ensuring proactive measures are taken to prevent accidents. The system leverages sensors and real-time data monitoring to ensure driver sobriety and attentiveness while also alerting the driver about potential passenger hazards. The system primarily focuses on two areas: driver safety and passenger detection. On the driver’s side, an alcohol sensor detects any sign of intoxication, and an eye-blink sensor monitors the driver’s focus, especially if distracted by using a phone. If intoxication is detected, the vehicle is automatically disabled through the motor control system, and an alert is triggered via an alarm and notification sent to a web-based platform. If the driver is distracted or drowsy, a warning alarm is activated. On the passenger side, an IR sensor and an ultrasonic sensor detect whether passengers are improperly standing or not seated, and a notification is displayed to the driver. The system integrates an Arduino Uno with several sensors, including alcohol, eye-blink, IR, and ultrasonic sensors. The collected data is transmitted wirelessly through a Wi-Fi module to a cloud platform, such as ThingSpeak, and then displayed on a website built with Java, HTML, and JavaScript. The website provides a login interface to enroll driver information and monitor alcohol sensor readings. In case of driver intoxication, the system triggers the suspension of the vehicle by turning off the motor. This smart safety system provides an efficient, real-time mechanism for preventing road accidents by monitoring driver behavior and ensuring passenger safety.


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    Titel :

    Smart Safety System for Driver and Passenger Protection


    Beteiligte:
    S, Sudharsan (Autor:in) / S, Rajesh (Autor:in) / N, Selvam (Autor:in) / P S, Sangeeth Raj (Autor:in) / Prasad R, Babu (Autor:in) / A, Duraimurugan (Autor:in)


    Erscheinungsdatum :

    28.03.2025


    Format / Umfang :

    379877 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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