It is crucial to measure the heart rate of a person since it is one of the most significant physiological parameters and a key indication of peoples physiological states. The costly and intricate sensor and sensor system applications are frequently used in heart rate monitoring. Research that has advanced over the past ten years has focused increasingly on noncontact technologies that are easy to use, inexpensive, and pleasant. The majority of noncontact based systems are still suitable for lab settings in offline situations, but they need to advance significantly before they can be used in real-time applications. The camera on a laptop computer is used in this study to demonstrate a real-time HR monitoring technique. By variations in face skin tone brought on by the blood circulation, the heart rate is measured. The color channels of video recordings have been subjected to three distinct signal the processing techniques, including the Fast Fourier Transform (FFT), Independent Component Analysis (ICA), and the Principal Component Analysis (PCA), and the blood volume pulse (BVP) is recovered from the face areas.