Being an active indication of a person's physiological state, heart rate is an important physiological metric to track. Newborns and sensitive populations may benefit from contactless heart rate monitoring techniques. The ability of this method to estimate pulse using a simple webcam or phone camera was advantageous for one such application, telemedicine. Various techniques are employed to accomplish the objective of contactless heart rate detection. The most well-known signal processing techniques used in remote photoplethysmography technology are Principal Component Analysis (PCA), Independent Component Analysis (ICA), and Fast Fourier Transform (FFT). These techniques are used to extract elusive colour changes related to heart rate and blood flow from facial video sequences. After applying these techniques, the blood volume pulse (BVP) is extracted from the colour channels of video recordings, and heart rate is then counted and compared with appropriate reference measures. The Fast Fourier Transform is used in this paper's suggested technique to extract heart rate data from video inputs.