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Drowsiness detection system using EAR and MAR (Eye and Mouth Aspect Ratios) , dlib used to extract facial landmarks , drowsiness detected using eye closure rates and yawn counts.

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MananKapila/Drowsiness-Detection-System-Computer-Vision-project

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Drowsiness-Detection-System-Computer-Vision-project

Drowsiness detection system using EAR and MAR (Eye and Mouth Aspect Ratios) , dlib used to extract facial landmarks , drowsiness detected using eye closure rates and yawn counts. 68 face landmarks data used for dlib to extract facial landmarks Eye Aspect Ratio and Mouth Aspect Ratio when hits a particular threshold , the driver is signaled with an alarm notification.

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Drowsiness detection system using EAR and MAR (Eye and Mouth Aspect Ratios) , dlib used to extract facial landmarks , drowsiness detected using eye closure rates and yawn counts.

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