flutter_tflite_web 3.0.0

A Flutter package for identity validation using TensorFlow Lite with document and face detection. Supports DNI capture and selfie validation for web platforms.

flutter_tflite_web

A Flutter package for identity validation using TensorFlow Lite with document and face detection. Supports DNI capture and selfie validation for web platforms.

Features

• Document detection (DNI front and back)
• Face detection and selfie capture
• Identity validation through face matching
• TensorFlow Lite integration for web
• BLoC state management for validation flow

Platform Support

Platform	Supported
Web	✅
Android	❌
iOS	❌
macOS	❌
Windows	❌
Linux	❌

Installation

Add this to your pubspec.yaml:

dependencies:
  flutter_tflite_web: ^2.0.0

Then run:

flutter pub get

Usage

Basic Setup

import 'package:flutter_tflite_web/flutter_tflite_web.dart';

// Initialize the ReconocimientoBloc
BlocProvider<ReconocimientoBloc>(
  create: (context) => ReconocimientoBloc(apiRest: apiRest),
  child: YourWidget(),
)

Start Validation Process

context.read<ReconocimientoBloc>().add(OnInitReconocimiento());

Listen to Validation State

BlocConsumer<ReconocimientoBloc, ReconocimientoState>(
  listener: (context, state) {
    if (state.accion == ReconocimientoBloc.onOnFinalizaProcesoReconocimiento) {
      // Validation completed
    }
  },
  builder: (context, state) {
    return YourUI();
  },
)

Assets

The package includes TensorFlow Lite model files in the assets/ directory:

• detect.tflite - Detection model
• labelmap.txt - Model labels

Dependencies

This package depends on:

• flutter_bloc - State management
• equatable - Value equality
• go_router - Navigation
• camera - Camera access
• image - Image processing

License

MIT License - see LICENSE file for details.