System Requirements ​

The Binah SDK supports a wide range of devices. The following requirements must be met in order to support the calculation of vital signs using the SDK.

React Native SDK ​

React Native SDK version 0.71 or higher must be installed on the build machine. The React Native SDK can be downloaded from https://reactnative.dev/docs/environment-setup.

The Binah.ai React Native SDK supports Android and iOS. Android-specific and iOS-specific system requirements can be found in the sections below.

System Requirements - Android ​

The following device requirements must be met in order to use the Binah Framework in your Android application:

Operating System Version ​

To run the Binah SDK, Android 8.1 (API 27) or a higher version is required.

Benchmark Performance Verification ​

Based on the Geekbench 6 single-core results from https://browser.geekbench.com/android-benchmarks, it is recommended to use a device with a benchmark score of 500 or higher. Devices with a score of 300 or higher are supported.

CPU ​

The device processor Application Binary Interface (ABI) must support arm64-v8a. The following code can be used to verify the processor's support for arm64-v8a:

if (Build.SUPPORTED_64_BIT_ABIS.isEmpty() || !Build.CPU_ABI.contains("arm")) {
    // The processor is NOT supported
}

if (Build.SUPPORTED_64_BIT_ABIS.length == 0 || !Build.CPU_ABI.contains("arm")) {
    // The processor is NOT supported
}

Camera ​

FPS ​

The camera must support 30 FPS (frames per second) imaging. The SDK enforces this requirement by verifying that CameraCharacteristics.CONTROL_AE_AVAILABLE_TARGET_FPS_RANGES contains a range with a minimum of 30 FPS and a maximum of 30 FPS.

Image Size ​

The camera must allow an image output size of 640x480 pixels. The SDK enforces this requirement by verifying that CameraCharacteristics.SCALER_STREAM_CONFIGURATION_MAP contains an output size of 640px width and 480px height.

Flashlight ​

For accurate finger measurements, it is necessary to have a flashlight near the rear camera. Refer to Binah.ai's support center at https://www.binah.ai/contact/ for detailed best practices on using the camera and the flashlight during a measurement.

System Requirements - iOS ​

The following device requirements must be met in order to use the Binah Framework in your iOS application:

iOS Version ​

iOS Deployment target 13 or later

Xcode Version ​

Xcode 11.4 or a later version is necessary for developing applications that incorporate the Binah.ai Framework.

iOS Operating System Version ​

Running the Binah Framework requires iOS 13 or later. When integrating with the Binah iOS Framework, ensure that the deployment target of your application is iOS 11 or later. In such cases, it is the application's responsibility to not call the Binah.ai Framework when the runtime OS version is lower than iOS 13.

iPhone Devices ​

The list of iPhone devices compatible with the Binah.ai Framework includes iPhone 8 and all subsequent iPhone models.

iPad Devices ​

The list of iPad devices compatible with the Binah.ai Framework includes iPad (6th generation) and all subsequent models, including the iPad Mini and iPad Pro families.

Swift Version ​

To ensure compatibility, make sure you are using Swift 5.0 or a more recent version.

C++ Flag ​

The Binah iOS Framework is built with the C++17 flag [-std=c++17].

Architecture ​

The Binah iOS Framework is compatible with arm64 architecture, which is supported by all recent iOS devices.

Camera ​

The Binah Framework requires access to the device's camera in order to perform its functions.

Flashlight ​

For accurate finger measurements, it is necessary to have a flashlight near the rear camera. Refer to Binah.ai's support center at https://www.binah.ai/contact/ for detailed best practices on using the camera and the flashlight during a measurement.