Extremely easy-to-integrate, Binah.ai’s SDK supplies capabilities that allows the use of photoplethysmography (PPG) to extract a person’s of heart rate, respiration rate, oxygen saturation, heart rate variability (HRV), and stress index measurements – using the front of back camera of a mobile device, such as a smartphone and tablet. The signal is extracted either remotely from a video stream of a person’s face upper cheek area (using rPPG methodology), or from a video feed of a person’s finger (using PPG methodology). The HRV is calculated utilizing statistical modelling of heart rate interval variability. The SDK controls the device camera for the video stream and performs the measurement calculations.

Depending on the type of industry and application, customers may implement Binah.ai’s SDK in numerous ways such as creating an end-to-end branded health and wellness application of their own, powered by Binah.ai’s technology or adding some of Binah.ai’s capabilities to an existing customer’s app.

Binah.ai’s SDK is delivered in the form of a library designed as a standard iOS framework and implemented using Objective C/ C++, which is compatible with all iOS configurations.

Basic tools needed:

• Xcode 11.4 and up
• iOS Deployment target 13
• The C++ flag used c++17 [-std=c++17]
• iOS device – not for simulator use, since camera is not available

Binah.ai’s SDK is delivered in the form of a library and developed for Android version 8.1(Oreo), using Android Studio.

Basic tools needed:

• Android Studio 3.5.2
• Compile SDK version 29
• Minimum SDK version 27
• Target SDK version 29