Drowsiness Detection (YOLOv5s)

Project Demo

• Demo video:

  • Drowsiness Detection

• Jupyter Notebook:

  • Jupyter Notebook

Overview

• Drowsiness Detection - Implements YOLOv5 and custom image data to detect whether a person appears drowsy or awake.
• Can further be enhanced and adapted for different use cases.

Features

• YOLOv5s is implemented for an accurate and efficient detection.
• Custom-trained image data ensures improved performance in detecting drowsiness.
• Provides real-time monitoring of individuals to determine their level of alertness.
• Can be integrated into various applications, such as driver monitoring systems or workplace safety solutions.