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5min

How FaceScan Works



Scan

FaceScan

Duration

<60s

Data Returned

Vital signs & indicators, like blood pressure, heart rate, heart rate variability Health risks, like Cardiovascular disease and heart attack

Processing

Cloud-based

Platforms

iOS, Android

Total submodule size

~6.5MB. 

Min. Requirements

iPhones: iOS 12.1 or above. Android:  Android 8 or above, 64-bit, and OpenGL 3.1 support. 

Requirements to Operate

Internet Connection, User Input

Requiring only a function call to launch, our FaceScan is designed to be triggered from anywhere within your app.

Below is a typical journey a user will go through to access the scan and subsequently their scan results, consisting of:



Document image

The Scan Process



Document image

Step 1. Real-Time Scan

We first conduct a 3 second calibration allowing us to lock onto key areas of the face and to adjusted the contrast of the image for a perfect reading.

Once calibrated, a 30 second scan begins measuring those key points on the face, securely sending the recorded measurements to the cloud.

Behind The Scenes

We use advanced signal processing to read the minute changes in color of the sub-dermal layer of the skin. This works on any skin type and tone.



Step 2. Scan Processing

After the scan process has completed, the recorded measurements are then processed in the cloud into results.

Behind The Scenes

Using our cloud-based deep learning neural network, we process the recorded measurements and provide a result



Updated 25 Mar 2021
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Accessing FaceScan Data
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TABLE OF CONTENTS
The Scan Process
Step 1. Real-Time Scan
Step 2. Scan Processing