InspireFace Android SDK

InspireFace is a cross-platform face recognition SDK developed in C/C++, supporting multiple operating systems and various backend types for inference, such as CPU, GPU, and NPU.

If you require further information on tracking development branches, CI/CD processes, or downloading pre-compiled libraries, please visit our development repository.

Please contact [email protected] for commercial support, including obtaining and integrating higher accuracy models, as well as custom development.

Source Code Project

If you need to learn about the build steps in the source code of the project, you can go : InspireFace.

Supporting Platform

• arm64-v8a
• armeabi-v7a

Add Dependency

• Step 1. Add the JitPack repository to your build file add it in your root build.gradle at the end of repositories:

  allprojects {
      repositories {
         ...
         maven { url 'https://jitpack.io' }
      }
  }

• Step 2. Add the dependency

  dependencies {
      implementation 'com.github.HyperInspire:inspireface-android-sdk:1.2.0'
  }

How to use the Android/Java Api

We provide a Java API for Android devices, which is implemented using Java Native Interface(JNI).

// Launch InspireFace, only need to call once
boolean launchStatus = InspireFace.GlobalLaunch(this, InspireFace.PIKACHU);
if (!launchStatus) {
    Log.e(TAG, "Failed to launch InspireFace");
}

// Create a ImageStream
ImageStream stream = InspireFace.CreateImageStreamFromBitmap(img, InspireFace.CAMERA_ROTATION_0);

// Create a session
CustomParameter parameter = InspireFace.CreateCustomParameter()
                .enableRecognition(true)
                .enableFaceQuality(true)
                .enableFaceAttribute(true)
                .enableInteractionLiveness(true)
                .enableLiveness(true)
                .enableMaskDetect(true);
Session session = InspireFace.CreateSession(parameter, InspireFace.DETECT_MODE_ALWAYS_DETECT, 10, -1, -1);

// Execute face detection
MultipleFaceData multipleFaceData = InspireFace.ExecuteFaceTrack(session, stream);
if (multipleFaceData.detectedNum > 0) {
    // Get face feature
    FaceFeature feature = InspireFace.ExtractFaceFeature(session, stream, multipleFaceData.tokens[0]);
    // ....
}

// .... 

// Release resource
InspireFace.ReleaseSession(session);
InspireFace.ReleaseImageStream(stream);

// Global release
InspireFace.GlobalRelease();