This paper introduces a novel, non-contact, automated method for measuring cardiac pulse using video imaging and blind source separation (BSS). The approach leverages color video recordings of the human face, combining automatic face tracking with BSS to separate color channels into independent components. The method was validated against an FDA-approved finger blood volume pulse (BVP) sensor, demonstrating high accuracy and correlation even in the presence of motion artifacts. The technique was also extended to simultaneously measure heart rates of multiple participants. The study used a basic webcam to record videos, which were analyzed using custom MATLAB software. The results showed that the proposed method significantly reduced errors and improved correlation compared to raw data, with false positive and false negative rates being minimal. The method's effectiveness was further demonstrated in scenarios with varying levels of motion and lighting conditions, making it a promising tool for remote, non-invasive physiological monitoring.This paper introduces a novel, non-contact, automated method for measuring cardiac pulse using video imaging and blind source separation (BSS). The approach leverages color video recordings of the human face, combining automatic face tracking with BSS to separate color channels into independent components. The method was validated against an FDA-approved finger blood volume pulse (BVP) sensor, demonstrating high accuracy and correlation even in the presence of motion artifacts. The technique was also extended to simultaneously measure heart rates of multiple participants. The study used a basic webcam to record videos, which were analyzed using custom MATLAB software. The results showed that the proposed method significantly reduced errors and improved correlation compared to raw data, with false positive and false negative rates being minimal. The method's effectiveness was further demonstrated in scenarios with varying levels of motion and lighting conditions, making it a promising tool for remote, non-invasive physiological monitoring.