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Computer vision & on-device AI extension for Flutter, providing MediaPipe face landmark detection, ONNX Runtime corner detection, TFLite object detection, and active liveness analysis.

simple_native_vision #

A high-performance Flutter plugin for computer vision and on-device AI tasks, providing MediaPipe Face Landmarks, ONNX Runtime document corner detection, TFLite object detection, and active liveness analysis.

Features #

  • Active Liveness Detection:
    • Real-time face tracking and pose estimation (pitch, yaw, roll).
    • State-based challenge validation (look straight, turn left, turn right, smile, etc.).
    • MediaPipe Face Mesh backend on Android & iOS.
  • Document Corner Detection:
    • Edge and corner inference powered by ONNX Runtime (onnxruntime-android / onnxruntime-objc).
  • Object Detection:
    • Mobile target detection using TensorFlow Lite.
  • Lightweight Modular Architecture:
    • Standalone vision library — keep your main app lean if you only need standard camera/device capabilities (simple_native).

Getting Started #

Add simple_native_vision to your pubspec.yaml:

dependencies:
  simple_native_vision: ^0.0.1

Usage #

import 'package:simple_native_vision/simple_native_vision.dart';

// Example: Configure active liveness thresholds
final config = LivenessThresholdConfig(
  yawThreshold: 20.0,
  pitchThreshold: 15.0,
);

// Perform AI / Vision tasks using SimpleAI

License #

BSD 3-Clause License. See LICENSE for details.

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Computer vision & on-device AI extension for Flutter, providing MediaPipe face landmark detection, ONNX Runtime corner detection, TFLite object detection, and active liveness analysis.

Homepage
Repository (GitHub)

Topics

#vision #ai #camera #tflite #onnx

License

BSD-3-Clause (license)

Dependencies

flutter, plugin_platform_interface

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Packages that depend on simple_native_vision

Packages that implement simple_native_vision