To estimate the heart rate from video we are using an open-source algorithm that masks the face from the video using ML models and uses image-processing methods to track subtle changes in color and try to infer a person's heart rate. This method is often known as rPPG (remote photopletismography).
Video heart rate can be greatly influenced by camera quality and lighting conditions. It's best to avoid over or under-exposing the frame.
Output
Heart Rate: a single number representing the estimated heart rate.
