wave-technology-hero

A UNIQUE MIX OF

Signal Processing
and AI Technologies

Artificial Intelligence
Technologies
Proprietary
Mathematical
Backend
Signal
Processing
hero image
Signal
Processing
white_border hero-bottom-wave

How Our Technology Works

Camera Calibration

Optimizing the camera's video feed according to the environmental conditions.

1
process-of-vital-sign-1

Camera Calibration

Optimizing the camera's video feed according to the environmental conditions.

process-of-vital-sign-2
2

Face Detection

AI technology accurately identifies the presence of a human face.

Face Tracking

Deep learning technology is used to focus on the subject's face.

3
process-of-vital-sign-3

Face Tracking

Deep learning technology is used to focus on the subject's face.

process-of-vital-sign-4
4

Skin Region Selection

Dynamically decides which part of the face to analyze and extracts signals from.

Motion Compensation

Signal processing compensate for any motion to achieve consistent results.

5
process-of-vital-sign-5

Motion Compensation

Signal processing compensate for any motion to achieve consistent results.

process-of-vital-sign-6
6

Illumination Normalization

Light levels are normalized to improve accuracy further.

How Do We Extract Vital Signs?

Binah.ai extracts vital signs using a signal taken from the upper cheek region of the face, and analyzing it with advanced AI and deep learning algorithms, including computer vision technology and signal processing. No identifiable features are needed, and the subject can wear glasses, a hat, beard, make-up or a mask. In one minute or less, users have access to Heart rate, Heart Rate Variability, Oxygen Saturation, Respiration Rate and Mental Stress.

The technology runs on the device and users may perform a vital signs scan even when not connected to the internet. (Please note, when offline, the scan results will not be recorded in the measurement history.)

How Do We Extract Vital Signs?
Non-contact Video-based rPPG

Non-contact Video-based rPPG

Remote Photoplethysmographic imaging (rPPG) is a camera-based solution for non-contact cardiovascular monitoring, proven to be as accurate as traditional PPG devices. Our technology measures the changes in red, green, and blue light reflection from the skin, quantifying the contrast between specular reflection and diffused reflection.

Contact-based PPG

Contact-based PPG

When conditions are not ideal, Binah.ai also implemented a backup solution that extracts a PPG signal by placing the user’s finger on the back camera of a smartphone. Binah.ai automatically detects when conditions are not ideal for rPPG contact-less extraction and recommends users to move to the finger-based extraction.

Mental Stress

Via accurate HRV (Heart-rate variability) measurements, Binah.ai uses Baevsky’s mental stress index as well as US/European approved index measurements to calculate users’ stress levels. With this insight, we provide easy to read stress measurements on a 5 point scale: low, normal, mild, high, and extremely high.

text image

Proven Performance

Binah.ai’s technology undergoes continuous testing, both in our own in-house labs, and externally via clinical studies in medical labs and academic institutions. Our advanced signal processing allows for clean data, eliminating outlying information and providing a higher signal-to-noise ratio.

Ready to give it a try?

We offer easy integration for iOS, Android and Windows via our Binah SDK, or as a ready-to-use, end-to-end solution via our Binah Team.