Learn how to use Haar Cascades to detect faces and eyes in a video using OpenCV on the Jetson Nano. The course covers topics such as face and eye detection, working with Haar Cascades, utilizing Raspberry Pi Camera, GitHub, grayscale images, finding faces, detecting eyes, and using webcams. The teaching method involves practical demonstrations and coding exercises. This course is intended for individuals interested in artificial intelligence, computer vision, and machine learning, specifically focusing on face and eye detection applications using OpenCV on the Jetson Nano platform.
AI on the Jetson Nano - Face and Eye Detection with Haar Cascades in OpenCV
Overview
Syllabus
Intro
Open Visual Studio
Raspberry Pi Camera
Starting Point
OpenCV Tree
GitHub
Face Detection
Face Cascade
Face XML
Eye XML
Grayscale
Find Faces
Box Faces
ROI Color
Eye Detection
List of Eyes
Eye Box
Testing
Eye Cascade
Webcam
CV to Circle
Eyes
Lesson Recap
Homework
Taught by
Paul McWhorter
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