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.
-
Notifications
You must be signed in to change notification settings - Fork 1
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
About
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.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published