Proven in the lab. Not just claimed in an ad.
Vital Health Scan is built on rPPG, remote photoplethysmography. It was discovered at a university laser lab, matured at MIT, and validated on hospital patients around the world. Below is the actual research, with the numbers, so you can check it yourself.
Born in the world’s research labs.
UC Irvine, Beckman Laser Institute
Discovered in 2008 that an ordinary camera can read the pulse in your skin from across a room.
MIT Media Lab
Turned that discovery into webcam heart rate, breathing and HRV, validated against medical sensors.
University of Oxford
Proved camera vitals hold up on real patients in intensive care and neonatal wards.
Philips Research & TU Eindhoven
Built the motion robust CHROM and POS algorithms that keep readings accurate when you move.
Microsoft Research
Pioneered the deep learning models that push camera accuracy toward dedicated sensors.
Your pulse changes the color of your skin.
Every time your heart beats, a wave of blood moves through the vessels just under your skin. That blood absorbs slightly more green light, so with each beat your skin gets imperceptibly darker and lighter.
Your eyes cannot see it, but a camera can. Photoplethysmography (PPG) is the same optical method used by the pulse sensor on a hospital finger clip or a smartwatch. Remote PPG does it from a distance, with no contact, just video of your face.
Blood volume pulse
A single facial video yields this waveform, and from it, dozens of vital signs.
From camera to biomarker.
Capture
Your camera records subtle changes in facial skin color at high frame rate.
Track
AI locks onto hundreds of facial landmarks and isolates clean regions of skin.
Extract
Signal processing recovers the blood volume pulse, the BVP waveform.
Measure
Peaks and rhythms in the pulse yield heart rate, HRV, respiration and more.
The research, in the open.
Grouped by type and labeled by strength. Heart rate, HRV and respiratory rate are well validated. SpO2 is emerging. Blood pressure is experimental. Every card links to the source.
Foundational university research
The discoveries and algorithms that built the field, from the labs that invented it.
Clinical validation
Tested on real patients in hospitals, ICUs and neonatal wards, not just healthy volunteers.
Systematic reviews and meta-analyses
The strongest tier of evidence: many studies pooled and assessed together.
Cleared by the FDA, in real products.
Camera based vital sign measurement is not just academic. Regulators have cleared commercial rPPG devices for pulse rate and respiratory rate.
Honest about the limits
- Face scan vitals are a wellness tool for tracking trends. They are not a diagnosis and not a replacement for medical care.
- Accuracy is strongest for heart rate, HRV and respiratory rate. Blood oxygen is emerging, and blood pressure is experimental.
- Lighting, motion and camera quality affect results. Bright, even light and staying still give the best readings.
- We do not claim to measure blood glucose, cholesterol or blood chemistry as clinical facts. Where the science is early, we label it emerging research.
References
- 1.Verkruysse, Svaasand & Nelson (2008). Remote plethysmographic imaging using ambient light. Optics Express 16(26). Beckman Laser Institute, UC Irvine. link
- 2.Poh, McDuff & Picard (2010). Non contact, automated cardiac pulse measurements using video imaging and blind source separation. Optics Express 18(10). MIT Media Lab. link
- 3.Poh, McDuff & Picard (2011). Advancements in noncontact, multiparameter physiological measurements using a webcam. IEEE Transactions on Biomedical Engineering 58(1). MIT Media Lab. link
- 4.de Haan & Jeanne (2013). Robust pulse rate from chrominance based rPPG. IEEE Transactions on Biomedical Engineering 60(10). Philips Research & TU Eindhoven. link
- 5.Wang, den Brinker, Stuijk & de Haan (2017). Algorithmic principles of remote PPG. IEEE Transactions on Biomedical Engineering 64(7). Philips Research & TU Eindhoven. link
- 6.Chen & McDuff (2018). DeepPhys: video based physiological measurement using convolutional attention networks. European Conference on Computer Vision (ECCV). Microsoft Research & MIT Media Lab. link
- 7.Villarroel, Jorge, Tarassenko et al. (2019). Non contact physiological monitoring of preterm infants in the neonatal intensive care unit. npj Digital Medicine 2:128. University of Oxford & John Radcliffe Hospital. link
- 8.Jorge, Villarroel, Tarassenko et al. (2022). Non contact physiological monitoring of post operative patients in the intensive care unit. npj Digital Medicine 5:4. University of Oxford, Institute of Biomedical Engineering. link
- 9.Sun, Yang, Wu et al. (2022). Contactless facial video recording with deep learning models for the detection of atrial fibrillation. Scientific Reports 12:281. National Yang Ming Chiao Tung University & partner hospitals. link
- 10.Bioengineering (MDPI) (2026). Clinical validation of rPPG enabled contactless pulse rate monitoring in cardiovascular disease patients. Bioengineering 13(2):246. Cardiovascular disease patient cohort. link
- 11.Frontiers in Physiology (2022). Remote photoplethysmography is an accurate method to remotely measure respiratory rate. Frontiers in Physiology. Hospital based trial (963 patients). link
- 12.Sensors (2020). Feasibility of assessing ultra short term pulse rate variability from video recordings. Sensors / PMC. Peer reviewed validation (Sensors). link
- 13.Bioengineering (MDPI) (2024). Contactless blood oxygen saturation estimation from facial videos using deep learning. Bioengineering 11(3):251. Imaging pulse oximetry study. link
- 14.Evidence review (2022). Camera based remote photoplethysmography for blood pressure measurement. Chatham Medical / review. Evidence review (early stage). link
- 15.Journal of Clinical and Translational Science (2023). Clinical applications of contactless photoplethysmography for monitoring in adults. Cambridge University Press. Systematic review & meta-analysis. link
- 16.npj Digital Medicine (2023). Challenges and prospects of visual contactless physiological monitoring in clinical study. npj Digital Medicine 6:231. npj Digital Medicine (Nature Portfolio). link
- 17.npj Digital Medicine (2025). The role of face regions in remote photoplethysmography for contactless heart rate monitoring. npj Digital Medicine. npj Digital Medicine (Nature Portfolio). link
See it for yourself.
Take your first face scan in about a minute.