In this project, I used Dlib’s 68 Facial Landmark model to detect eye regions. Using an optimization method, I ran the model in real-time to detect facial landmarks. I took an area normalization approach for detecting the status of the eye. Then, I developed a finite state machine (FSM) to detect drowsiness.
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In this project, I used Dlib’s 68 Facial Landmark model to detect eye regions. Using an optimization method, I ran the model in real-time to detect facial landmarks. I took an area normalization approach for detecting the status of the eye. Then, I developed a finite state machine (FSM) to detect drowsiness.
roy-shudipto/Drowsiness_Detection
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In this project, I used Dlib’s 68 Facial Landmark model to detect eye regions. Using an optimization method, I ran the model in real-time to detect facial landmarks. I took an area normalization approach for detecting the status of the eye. Then, I developed a finite state machine (FSM) to detect drowsiness.
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