Kryonex-Labs/livelyness_detection

livelyness_detection

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Index

• What is the Livelyness Detection?
• Platform Support
• Installation
  • Flutter Setup
  • Native Setup
    • iOS
    • Android
• Contributors

What is the Livelyness Detection?

Liveness detection for face recognition in biometrics is a technique where an algorithm detects if the person in front of the camera is alive and real. The algorithm is able to recognize a live person from presentation attacks - where a bad actor, or fraud perpetrator, uses someone else's physical characteristics or biometric data (known as "spoofs") for impersonation.

Spoofing attempts using printed photos, recordings, deep fake pictures, and 3D masks poses a serious threat. Facial Liveness Detection incorporates specialized features to identify biometric spoofing attacks, which could be an imitation emulating a person’s unique biometrics scanned through the biometric detector to deceive or bypass the identification and authentication steps provided by the system. Even though face recognition can reliably answer the question, “Is this the right person?” but not the question, “Is this a live person?” This is where liveness detection technology plays a significant role in fraud detection and mitigation. Face biometric matching must be able to detect spoofs in order to be trusted, and to maintain the integrity of biometric data.

Platform Support

Installation

First, we have to install the package on flutter.

Flutter Setup

Add livelyness_detection to your pubspec.yaml dependencies.

Using command-line

flutter pub add livelyness_detection

Native Setup

Next comes the native setup on both android and iOS

  <key>NSCameraUsageDescription</key>
  <string>Camera Access for Scanning</string>
  <key>NSMicrophoneUsageDescription</key>
  <string>Microphone for playing instructions audio.</string>

platform :ios, '14.0' # <---------- Uncomment this line

Example

A call to a single line function will return a temporary path to the captured image.

Code

    final String? response =
        await LivelynessDetection.instance.detectLivelyness(
      context,
      config: DetectionConfig(
        steps: [
          LivelynessStepItem(
            step: LivelynessStep.blink,
            title: "Blink",
            isCompleted: false,
          ),
          LivelynessStepItem(
            step: LivelynessStep.smile,
            title: "Smile",
            isCompleted: false,
          ),
        ],
        startWithInfoScreen: true,
      ),
    );

Example Video-Andriod , iOS

The example app running in Andriod

Contributors

https://contrib.rocks/image?repo=GhagSagar23/livelyness_detection