Learn how to implement face and eye detection using Haar Cascades in OpenCV on the NVIDIA Jetson Nano. Explore the process of setting up the Raspberry Pi camera, accessing OpenCV's pre-trained XML files for face and eye detection, and applying grayscale conversion for improved accuracy. Discover techniques for drawing bounding boxes around detected faces and eyes, working with regions of interest (ROI), and testing the implementation on both still images and live webcam feeds. Gain practical experience in computer vision and AI applications while working with hardware specifically designed for edge computing and machine learning tasks.