Step 1: Camera Capture & Calibration
The user is scanned using the built-in-RGB camera on a smartphone, tablet or laptop.
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Step 2: Face Detection & ROI Selection
AI computer vision algorithms are used to identify key regions-of-interest (ROIs) and measure colour changes caused by blood flow under the skin, which are invisible to the naked eye.
Step 3: Noise Reduction
Noise reduction algorithms are applied to remove and filter unwanted effects such as motion and environmental interference.
Step 4: Signal Extraction
The remote photoplethysmography (rPPG) signal containing physiological information about the user is extracted using advanced signal processing and state-of-the-art deep learning methods.
Step 5: Holistic Analysis
Vital sign readings and health insights are produced based on clinically-backed data-driven algorithms.