A unique processing engine is at the heart of IntelliProve

We detect the blood flow in the face using the camera on your mobile device and measure vital parameters through innovative signal processing and machine learning techniques.

From a video of the face to vital sign

Face / camera motion correction

Correcting for face and camera motion


A video camera records a short video feed of the face. Using different algorithms, this video is corrected for face and camera motion.

ROI detection

Detecting the region-of-interest in the face


Small facial regions of interest (ROI) with a good skin blood perfusion are selected and cropped from the full image.

ROI detection

Light wavelength selection

Extracting the necessary information from the ROI


Ambient light penetrates the skin and reflects off blood vessels. The pixel values in the facial ROI are used to construct a raw signal. This signal harbours tiny changes in colour, originating from the pulsation of the heart, which are key to measuring the vital parameters.

Signal processing / machine learning

Processing the raw signal into a qualitative PPG signal


The raw signal is converted into a qualitative photoplethysmogram (PPG) waveform using innovative signal processing and machine learning techniques.

Signal processing / machine learning

Vital parameters

Calculating the vital parameters from the waveform


Vital parameters are accurately calculated from this waveform using unique IntelliProve algorithms.

Our engine in numbers

Heart beats detected
Years of scientific research
Patients included
0 %
Heart rythm accuracy

Why video-based vital signs?

No specialized devices

Our technology works with a regular camera (smartphone, tablet or PC), there is no need for a specialized device.


IntelliProve’s solution is constantly evaluated against state-of-the-art medical devices and techniques to achieve medical-grade accuracy.


No direct contact is needed during the measurement.


From video to vital signs in less than 30 seconds.

Our engine in numbers

More than 500 video samples are actively used for testing and validating our models.

More than 40,000 photoplethysmogram waveforms are being processed to train our engine.

Our technology is backed by more than 9 years of academic and clinical research.


IntelliProve makes use of photoplethysmography (PPG), an optical method to measure cardiac-synchronous blood volume change in body extremities such as the face, finger and earlobe. As the heart pumps blood, the volume of blood in the arteries and capillaries changes by a small amount in sync with the cardiac cycle. This change in blood volume in the arteries and capillaries underneath the skin leads to small changes in the skin color (visible in the Red/Green/Blue spectrum), from which a PPG waveform is estimated. Vital parameters are derived from a well-acquired PPG waveform.

Our technology is backed by several years of academic and clinical research. Below we highlight some major impact papers in the field:

  • DistancePPG: Robust non-contact vital signs monitoring using a camera. Kumar M. et al. Biomed Opt Express. 2015 Apr 6;6(5):1565-88.
  • Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network. Slapničar G. et al. Sensors (Basel). 2019 Aug 4;19(15):3420.
  • Non-contact detection of oxygen saturation based on visible light imaging device using ambient light. Kong L. et al. Opt Express. 2013 Jul 29;21(15):17464-71.

Our technology effectively corrects for face motion and camera movement (through region-based motion tracking), lighting variations (by outlier detection and detrending filters) and smartphone variations (by resampling techniques).