The source code download link of the implementation is attached at the end of the article
Detect driver drowsiness using Mediapipe in Python
Continuous driving can be tedious and exhausting. Motorists may become listless and even doze off from inactivity. In this article, we will create a drowsy driver detection system to solve such problems. For this we will use Mediapipe's Face Mesh solution in Python and the Eye Aspect Ratio formula. Our goal is to create a robust and easy-to-use application that can detect if the user has closed their eyes for an extended period of time and sound an alert.
In this article, we will:
- Learn how to detect eye signs using the Mediapipe Face Mesh solution pipeline in python .
- Introduces and demonstrates Eye Aspect Ratio (EAR) technology.
- Create a driver drowsiness detection web application using Streamlit .
- Use streamlit-webrtc to help pass