You need to have Python (3.6 version recommended) installed on your system, then using pip, you can install the necessary packages. The requirement for this Python project is a webcam through which we will capture images. Now before starting with Prerequisites, Datasets and Model Architecture, If you are newbie I will suggest you to refer this Python Master sheet to Learn all necessary concepts of Python Programming language. Step 5 – Calculate score to check whether the person is drowsy. Step 4 – Classifier will categorize whether eyes are open or closed. Step 3 – Detect the eyes from ROI and feed it to the classifier. Step 2 – Detect the face in the image and create a Region of Interest (ROI). Step 1 – Take image as input from a camera. The approach we will be using for this Python project is as follows : In this Python project, we will be using OpenCV for gathering the images from webcam and feed them into a Deep Learning model which will classify whether the person’s eyes are ‘Open’ or ‘Closed’. Driver Drowsiness Detection System – About the Project This system will alert the driver when drowsiness is detected. The objective of this intermediate Python project is to build a drowsiness detection system that will detect that a person’s eyes are closed for a few seconds. Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving.
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