Idea

A Python program that determines heart rate from a video feed uses computer vision techniques to analyze subtle color changes in the skin, typically on the face, caused by blood flow. The program processes the video, extracting frames, and applies signal processing to detect fluctuations in the skin's color intensity. Using algorithms like Fast Fourier Transform (FFT), the program identifies the frequency of these color changes, which corresponds to the heart rate. It then displays the calculated heart rate on the screen, providing users with a non-invasive, real-time measure of their pulse rate. This can be useful for fitness monitoring or health assessments.