This repository contains code for the blog post Driver Drowsines Detection using Mediapipe in Python.
In this post, we will:
- Learn how to detect eye landmarks using the Mediapipe Face Mesh solution pipeline in python.
- Introduce and demonstrate the Eye Aspect Ratio (EAR) technique.
- Create a Drowsiness Detection web application using streamlit.
- Use streamlit-webrtc to help transmit real-time video/audio streams over the network.
- Deploy it on a cloud service.
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