Simprints Face Biometrics SDK

SimFace Library

An Android library for face recognition and quality assessment on edge devices. It provides face detection, embedding creation, and biometric matching capabilities. The library is built around Google's MLKit for face detection and EdgeFace for embedding (template) creation. It consists of the following modules:

1. Face Detection and Quality Assessment: This module is used to locate faces within an image and assess their quality.
2. Embedding Creation: This module is used to generate a 512-float vector representation of face images.
3. Matching and Identification: Used for verification and identification purposes.

📚 View Full Documentation for installation and usage examples.

SimQ Library

SimQ is a standalone Android library for comprehensive face quality assessment. It can be used independently or as part of SimFace for enhanced quality evaluation. SimQ provides a quality score from 0.0 to 1.0, with customizable weights for each metric and configurable thresholds.

📚 View Full SimQ Documentation for installation, usage examples, and advanced configuration options.

Installation

1. Add the repository to your settings.gradle.kts under dependencyResolutionManagement under respositories:

maven {
    url = uri("https://maven.pkg.github.com/Simprints/Biometrics-SimFace")
    credentials {
        username = System.getenv("USERNAME") ?: ""
        password = System.getenv("TOKEN") ?: ""
    }
}

Import the dependencies in build.gradle.kts:

// To add the full Biometric SDK
implementation("com.simprints.biometrics:simface:2026.2.0")

// Or if only quality assessment is needed
implementation("com.simprints.biometrics:simq:2026.2.0")

SimFace Demo app

The sample module demonstrates end-to-end usage of SimFace APIs in a minimal app. It is intended as a reference implementation for integration and testing.

Usage: Open the repository in Android Studio and run the sample module.