Measuring vital signs is important to assess a person’s health status. During the pandemic, there is a huge demand for noninvasive vital sign measurement. Due to patients’ greater comfort and decreased risk of monitoring vital signs including heart rate and respiration rate, noncontact vital sign measuring has grown in popularity. Measurements are made by extracting the PPG waveform from videos of patients in different conditions, including different lighting conditions, and different times when doctors are performing routine care tasks. Recent studies have concentrated on the possibility of camera-based systems operating in the visible and IR bands for vital sign evaluation because noncontact vital sign measurement has become increasingly popular. Inconspicuous motions or changes brought on by physiological activity that are imperceptible to the human eye are captured by this technology using video data. The cameras used are RGB cameras and thermal imaging cameras for the visible (400–700 nm) and IR (up to 14,000 nm) ranges. Quantifiers are extracted from video frames of certain body parts (e.g., face, hands, and body) and interact with the appropriate processing algorithm. The study presents research and analysis related to measuring noncontact vital signs using video data and search fields.