Building a Machine Learning Drowsiness Detector App with Sound Alerts
Offered By: Nicholas Renotte via YouTube
Course Description
Overview
Watch a tutorial on building a machine learning drowsiness detector application with sound alerts using PyTorch YOLOv5 for object detection. Learn how to create a Tkinter app that detects whether a person is awake or drowsy and plays an alert sound if sleeping is detected. Follow along as the instructor demonstrates how to integrate object detection models with a graphical user interface and audio playback functionality using VLC. Gain insights into combining computer vision, machine learning, and app development to create a practical application in Python. Access the provided GitHub repository for the complete source code and additional resources to further explore this project.
Syllabus
I tried to build a ML Drowsiness Detector App (with sound alerts) in 15 mins
Taught by
Nicholas Renotte
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