Drowsiness Detection using Dlib

Simple code in python to detect Drowsiness using Dlib. The user's status is decided according to the EAR and MOR values.

Get this repo

git clone https://github.com/suhedaras/Drowsiness-Detection-using-Dlib.git

cd Drowsiness-Detection-using-Dlib

Dependencies

1. python==3.8
2. dlib==19.19.0
3. opencv-python==4.5.5.62
4. scipy==1.6.2

Run this command for drowsy detection

drowsiness_detection.py

Change the threshold values according to your need. In this project, threshold values 0.70 and 0.22 were used.

            if MOR > 0.70:
                cv2.putText(frame, "You are yawning. Are you drowsy?", (5, 75),
                            cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2, cv2.LINE_AA)

            if EAR < 0.22:
                flag += 1
                if flag > frame_check:
                    cv2.putText(frame, "DROWSINESS ALERT", (25, 125),
                                cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)

Result