Using a regular camera, Vitals™ scans the user’s face and captures biomarkers that are invisible to the naked eye. This data is sent to the cloud, where it is processed and interpreted to produce a holistic health analysis.
The user is scanned using the built-in-RGB camera on a smartphone, tablet or laptop.
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.
Noise reduction algorithms are applied to remove and filter unwanted effects such as motion and environmental interference.
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.
Vital sign readings and health insights are produced based on clinically-backed data-driven algorithms.
General wellness
Heart rate
Heart rate variability
Blood pressure
Respiration rate
Oxygen saturation
Stress levels
Mental health
R&D is conducted by PanopticAI’s strong multidisciplinary team and backed by rigorous global scientific review and international regulatory approval.
See moreVitals™ is deployed as a Software Development Kit (SDK) that can be integrated on common consumer devices including smartphones, tablets, laptops and kiosks with built-in cameras.
