Algorithm 1: Working of Hybrid Model
1:	Mount a camera on the dashboard of the vehicle and attach a GSR sensor on the fingers of the driver.
2:	Capture the image and collect the reading of the skin conductance of the driver.
3:	Detect the face in the captured images and forward the images to step 4 for feature extraction.
4:	Extract facial features like the eyes and mouth from the images using MTCNN and convert the analog reading of skin conductance into digital form.
5:	Forward the above results to step 6 for classification.
6:	Classify the current state of the driver and forward the result to next step.
7:	Generate an alarm if the driver is drowsy or restart the procedure at step 2.