Road accidents lead to fear in anyone who travels in their daily life. Violations of traffic restrictions, negligence, and other reasons can cause road accidents, but most studies show that the majority of accidents are caused by drivers’ sudden health concerns or tiredness. Despite their unpredictability, these events have a huge impact on human lives. These problems are solved by the proposed method. To assess whether a driver is awake or asleep, as well as whether the driver has any health issues, the system employs an eye blink sensor and a photoplethysmography sensor accordingly. The sensors’ output is connected to the driver’s phone via GSM module and any other human monitor via NodeMCU (cloud server) in that order. As a result, if the driver falls asleep, he or she will be awoken. And if a medical emergency arises, he or she will be able to receive immediate assistance because they are being monitored by another person via NodeMCU, which connects to the cloud server.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Intelligent Drowsiness and Illness Detection Assist System for Drivers


    Contributors:


    Publication date :

    2022-02-23


    Size :

    574174 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Drivers drowsiness detection in embedded system

    Tianyi Hong, / Huabiao Qin, | IEEE | 2007


    Drowsiness Detection for Drivers using IoT

    S S, Saranya / M N, Kavitha / M, Sivasenthil et al. | IEEE | 2023


    Drowsiness Detection for Automotive Drivers in Real-Time

    Chandana, R. / Sangeetha, J. | Springer Verlag | 2023


    A Smartphone-Based Drowsiness Detection and Warning System for Automotive Drivers

    Dasgupta, Anirban / Rahman, Daleef / Routray, Aurobinda | IEEE | 2019


    Comprehensive Analysis on Drowsiness Detection of Drivers using Facial Analysis

    Samiappan, Dhandapani / Ganesan, Pavai Vendhan / Subramanian, Rithick et al. | IEEE | 2023