Facematch and Liveness

Accura Scan face biometrics solution matches the selfie image with the image on the id card and also confirms if the user was live or not during the process.

Facematch

The method use to Start Facematch is

AccuraFacematch.startFaceMatch(accuraConfs)

In above method accuraConfs is an array consist of Face Uri in String Format, value will be provided by MRZ or OCR response.

var accuraConfs = [
{"face_uri":faceMatchURL}
];

Methods use to set Facematch configs are as follows

    AccuraFacematch.setFaceMatchFeedbackTextSize(18);
    AccuraFacematch.setFaceMatchFeedBackframeMessage("Frame Your Face");
    AccuraFacematch.setFaceMatchFeedBackAwayMessage("Move Phone Away");
    AccuraFacematch.setFaceMatchFeedBackOpenEyesMessage("Keep Your Eyes Open");
    AccuraFacematch.setFaceMatchFeedBackCloserMessage("Move Phone Closer");
    AccuraFacematch.setFaceMatchFeedBackCenterMessage("Move Phone Center");
    AccuraFacematch.setFaceMatchFeedbackMultipleFaceMessage("Multiple Face Detected");
    AccuraFacematch.setFaceMatchFeedBackFaceSteadymessage("Keep Your Head Straight");
    AccuraFacematch.setFaceMatchFeedBackLowLightMessage("Low light detected");
    AccuraFacematch.setFaceMatchFeedBackBlurFaceMessage("Blur Detected Over Face");
    AccuraFacematch.setFaceMatchFeedBackGlareFaceMessage("Glare Detected");
    AccuraFacematch.setFaceMatchBlurPercentage(80);
    AccuraFacematch.setFaceMatchGlarePercentage_0(-1);
    AccuraFacematch.setFaceMatchGlarePercentage_1(-1);

The example function is shown below

Future<void> startFaceMatch() async{
SystemChrome.setPreferredOrientations([DeviceOrientation.portraitUp]);
try{
var accuraConfs = {
  "face_uri":this.faceMatchURL
};

   await AccuraFacematch.setFaceMatchFeedbackTextSize(18);
   await AccuraFacematch.setFaceMatchFeedBackframeMessage("Frame Your Face");
   await AccuraFacematch.setFaceMatchFeedBackAwayMessage("Move Phone Away");
   await AccuraFacematch.setFaceMatchFeedBackOpenEyesMessage("Keep Your Eyes Open");
   await AccuraFacematch.setFaceMatchFeedBackCloserMessage("Move Phone Closer");
   await AccuraFacematch.setFaceMatchFeedBackCenterMessage("Move Phone Center");
   await AccuraFacematch.setFaceMatchFeedbackMultipleFaceMessage("Multiple Face Detected");
   await AccuraFacematch.setFaceMatchFeedBackFaceSteadymessage("Keep Your Head Straight");
   await AccuraFacematch.setFaceMatchFeedBackLowLightMessage("Low light detected");
   await AccuraFacematch.setFaceMatchFeedBackBlurFaceMessage("Blur Detected Over Face");
   await AccuraFacematch.setFaceMatchFeedBackGlareFaceMessage("Glare Detected");
   await AccuraFacematch.setFaceMatchBlurPercentage(80);
   await AccuraFacematch.setFaceMatchGlarePercentage_0(-1);
   await AccuraFacematch.setFaceMatchGlarePercentage_1(-1);

   await AccuraFacematch.startFaceMatch([accuraConfs])
    .then((value) => {
  setState((){
    dynamic result = json.decode(value);
        })
      }).onError((error, stackTrace) => {
     });
   }on PlatformException{}
}

Response:

On Success: JSON Response { detect: (URI), score: (Float) }

Error: String

Liveness

The method use to Start Liveness is

AccuraLiveness.startLiveness(accuraConfs)

In above method accuraConfs is an array consist of Face Uri in String Format, value will be provided by MRZ or OCR response.

var accuraConfs = [
  {"face_uri":faceMatchURL}
];

Methods use to set Liveness configs are as follows

    AccuraLiveness.setLivenessFeedbackTextSize(18);
    AccuraLiveness.setLivenessFeedBackframeMessage("Frame Your Face");
    AccuraLiveness.setLivenessFeedBackAwayMessage("Move Phone Away");
    AccuraLiveness.setLivenessFeedBackOpenEyesMessage("Keep Your Eyes Open");
    AccuraLiveness.setLivenessFeedBackCloserMessage("Move Phone Closer");
    AccuraLiveness.setLivenessFeedBackCenterMessage("Move Phone Closer");
    AccuraLiveness.setLivenessFeedbackMultipleFaceMessage("Multiple Face Detected");
    AccuraLiveness.setLivenessFeedBackFaceSteadymessage("Keep Your Head Straight");
    AccuraLiveness.setLivenessFeedBackBlurFaceMessage("Blur Detected Over Face");
    AccuraLiveness.setLivenessFeedBackGlareFaceMessage("Glare Detected");
    AccuraLiveness.setLivenessBlurPercentage(80);
    AccuraLiveness.setLivenessGlarePercentage_0(-1);
    AccuraLiveness.setLivenessGlarePercentage_1(-1);
    AccuraLiveness.setLivenessFeedBackLowLightMessage("Low light detected");
    AccuraLiveness.setLivenessfeedbackLowLightTolerence(39);
    AccuraLiveness.setLivenessURL("You Liveness Url");

The example function is shown below

Future<void> startLiveness() async{
SystemChrome.setPreferredOrientations([DeviceOrientation.portraitUp]);
try{
var accuraConfs = {
  "face_uri":this.faceMatchURL
};

   await AccuraLiveness.setLivenessFeedbackTextSize(18);
   await AccuraLiveness.setLivenessFeedBackframeMessage("Frame Your Face");
   await AccuraLiveness.setLivenessFeedBackAwayMessage("Move Phone Away");
   await AccuraLiveness.setLivenessFeedBackOpenEyesMessage("Keep Your Eyes Open");
   await AccuraLiveness.setLivenessFeedBackCloserMessage("Move Phone Closer");
   await AccuraLiveness.setLivenessFeedBackCenterMessage("Move Phone Closer");
   await AccuraLiveness.setLivenessFeedbackMultipleFaceMessage("Multiple Face Detected");
   await AccuraLiveness.setLivenessFeedBackFaceSteadymessage("Keep Your Head Straight");
   await AccuraLiveness.setLivenessFeedBackBlurFaceMessage("Blur Detected Over Face");
   await AccuraLiveness.setLivenessFeedBackGlareFaceMessage("Glare Detected");
   await AccuraLiveness.setLivenessBlurPercentage(80);
   await AccuraLiveness.setLivenessGlarePercentage_0(-1);
   await AccuraLiveness.setLivenessGlarePercentage_1(-1);
   await AccuraLiveness.setLivenessFeedBackLowLightMessage("Low light detected");
   await AccuraLiveness.setLivenessfeedbackLowLightTolerence(39);
   await AccuraLiveness.setLivenessURL("You Liveness Url");



   await AccuraLiveness.startLiveness([accuraConfs])
    .then((value) => {
  setState((){
    dynamic result = json.decode(value);
           })
         }).onError((error, stackTrace) => {
      });
   }on PlatformException{}
}

Response:

On Success: JSON Response

Error: String