Drivers' drowsiness is one of the well-tested human errors, the cause of major accidents. Studies show that changes in blinking behavior of drivers' eyes was observed just before accidents. The basic parameter used to detect fatigue is usually the blink of an eye. The same can be utilized by the system detect signs of sleep apnea to detect the onset of driver fatigue. As the driver's fatigue increases, the driver's blurriness and drowsiness gradually begin. Drowsiness affects mental alertness and reduces a person's ability to drive a car safely and increases the risk of human error that could lead to an accident. In this paper, we have created a model to monitor the abnormalities in the blinking of drivers' eyes using IR sensor. If any abnormality is found, the driver is alerted with a buzzer. Along with detecting drowsiness of car driver this project can also help in monitoring unconscious patient at all times, when the patient comes out of a coma the buzzer rings automatically. Simulation is tested using proteus design suite, an electronic circuit designing tool.


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    Title :

    IoT Based Eye Blink Detection System


    Contributors:


    Publication date :

    2022-04-28


    Size :

    578191 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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