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A UNIQUE MIX OF

Signal Processing
and AI Technologies

Artificial Intelligence
Technologies
Proprietary
Mathematical
Backend
Signal
Processing
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Signal
Processing
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How Our Technology Works

Light Analysis

Light from surrounding environment or device torch penetrates the skin and reflects off blood vessels to camera.

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Light Analysis

Light from surrounding environment or device torch penetrates the skin and reflects off blood vessels to camera.

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Camera Calibration

Binah.ai connects to camera and receives captured video stream. If necessary, camera parameters automatically adjust to optimize video feed.

Luminance Correction

When required, light levels are processed to improve vital signs accuracy.

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Luminance Correction

When required, light levels are processed to improve vital signs accuracy.

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ROI Detection

Region of interest is cropped from full image.

RGB Data Extraction

Skin detection is performed on each ROI followed by extraction of RGB (red, green, blue values).

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RGB Data Extraction

Skin detection is performed on each ROI followed by extraction of RGB (red, green, blue values).

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Vital Signs Calculations

Each vital sign is calculated based on varying quantities of data. Results appear within 10 sec. to 1 min.

How Do We Extract Health Parameters?

Binah.ai extracts user-provided health parameters using a video stream of exposed skin on the surface of a human face. The video stream is analyzed with advanced AI and deep learning algorithms, including computer vision technology and signal processing. No identifiable features or demographic data (e.g., eyes, height, gender, weight, etc.) are needed. In one minute or less, users can access heart rate, heart rate variability (SDNN and/or RRi raw data), oxygen saturation, respiration rate, sympathetic stress, parasympathetic activity, pulse-respiration quotient, and soon, blood pressure.

Binah.ai’s technology runs on the device, giving users the ability to perform scans even when not connected to the internet. (Please note, when offline, results will not be recorded in the measurement history.)

How Do We Extract Health Parameters?
Contactless Video-based rPPG

Contactless Video-based rPPG

For its contactless health parameter extraction, Binah.ai uses remote photoplethysmographic imaging (rPPG). rPPG is a camera-based solution for contactless cardiovascular monitoring, proven to be as accurate as traditional PPG devices. Our technology measures the changes in red, green, and blue light reflected from the skin and quantifies the contrast between specular reflection and diffused reflection.

Contact-based PPG

Contact-based PPG

For challenging conditions, Binah.ai has implemented a backup contact-based solution. The contact-based solution extracts a PPG signal when users place a finger on the rear camera of a smartphone. Binah.ai automatically detects when conditions are not ideal for contactless rPPG extraction and suggests using the contact-based extraction.

Mental Stress

Via accurate heart-rate variability (SDNN and/or RRi raw data) measurements, Binah.ai uses the Baevsky Stress Index 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.

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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.