Drowsiness Detection using Android Application and Mobile Vision Face API

ABSTRACT Absence of forbearance among drivers, fatigue and irresponsible behaviour drivers result in countless fatal crashes road traffic injuries. Driver drowsiness is a highly problematic issue which impairs judgment decision making resulting motor crashes. This paper describes simple detection approach for smartphone with Android application using Studio 3.6.1 Mobile Vision API before while driving. Physiological analysis quick facial were performed to check the driver starts The camera was used analysing heart rate by tracking colour changes due blood flow on fingertip. Facial undertaken Google determined head position, blinking duration yawning frequency through eye opening mouth probabilities. rate, duration, speeding as indicators drowsiness. repeated data driving results analysed each one minute. A performance accuracy combined proved be around 93.3%. Additional keywords: Drowsiness detection; analysis; Heartrate; API; analysis.