StayAwakeNet is a real-time drowsiness and distraction detection system using computer vision. It starts with eye closure detection via facial landmarks and Eye Aspect Ratio (EAR), with plans to expand to yawning, head pose, and object detection like phones or books.
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StayAwakeNet is a real-time drowsiness and distraction detection system using computer vision. It starts with eye closure detection via facial landmarks and Eye Aspect Ratio (EAR), with plans to expand to yawning, head pose, and object detection like phones or books.
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Julian1777/StayAwakeNet
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StayAwakeNet is a real-time drowsiness and distraction detection system using computer vision. It starts with eye closure detection via facial landmarks and Eye Aspect Ratio (EAR), with plans to expand to yawning, head pose, and object detection like phones or books.
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