wadva474 / FaceDetection

Android Application that Performs Liveness detection on person without asking person to perform or do anything

Passive Face Detection with Compose, ML Kit, and Hilt

Passive Face Detection is an Android application that utilizes Google's ML Kit for real-time facial recognition. The app showcases how to implement passive liveness detection using ML Kit, Compose for UI, and Hilt for dependency injection.

Features

• Real-time passive face detection using the device's camera.
• Facial landmarks detection for eye blinking analysis.
• Simple UI built with Jetpack Compose.
• Dependency injection with Hilt.

Table of Contents

• Getting Started
  • Prerequisites
  • Installation
  • Libraries
• Usage
• Project Structure
• Contributing
• License

Getting Started

Prerequisites

• Android Studio 4.0 or later.
• Android device with a camera (for testing on physical devices).
• Emulator with camera support (for testing on the emulator).

Installation

1. Clone the repository to your local machine:

   git clone https://github.com/your-username/PassiveFaceDetection.git
   

Libraries

• Hilt
• MLkit
• Compose

usage

• Launch the Application
• Grant Camera Permission
• The Application Auto Detect Live Faces