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• home 1:1 & 1:N Windows .NET Demo for Face Recognition, Liveness Detection.
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This repository contains a demonstration of Recognito's face recognition SDK for iOS. The SDK includes advanced features such as face recognition, liveness detection, and pose estimation. Recognito's face recognition algorithm has been ranked as the Top 1 in the NIST FRVT (Face Recognition Vendor Test).

Our Product List for ID verification.

• Face Recognition: Identify and verify individuals by comparing their facial features.
• Liveness Detection: Determine whether a face is live or spoofed to prevent fraud in authentication processes.
• Pose Estimation: Estimate the pose of a detected face, including Yaw, Roll, Pitch

• NIST FRVT Top 1 Algorithm: Utilize the top-ranked face recognition algorithm from the NIST FRVT for accurate and reliable results.
• On-premise: Operate entirely within your infrastructure, ensuring data privacy and security.
• Real-time: Perform face recognition, liveness detection, and pose estimation with minimal latency.
• Fully-offline: Function without the need for an internet connection, ensuring reliability and data privacy.

Recognito Youtube Channel: youtube.com/@recognito-vision

face recognition, liveness detection ios demo snap 1 face recognition, liveness detection ios demo snap 2 face recognition, liveness detection ios demo snap 3 face recognition, liveness detection ios demo snap 4 face recognition, liveness detection ios demo snap 5 face recognition, liveness detection ios demo snap 6

To use the Recognito SDK in your iOS project, follow these steps:

• Copy and add the SDK framework to your iOS project. facesdkframework
  
  BridgingHeader

• For trial license, share your Bundle ID.

  BundleID
  www.recognito.vision www.recognito.vision www.recognito.vision www.recognito.vision

• Add your license to license.txt file:

  iOS-FaceRecognition-FaceLivenessDetection/license.txt

  Lines 1 to 5 in bef9e29

  H/Fs6Zgbsi9av6VVDAi54yqpYxnq0eDV3MSZAxMnARvUVePNY85UJu3d95nM7iO2RrCm19/eq+qb

  gSDmhJRYVJBMEUcxG+0cPPWVAW7m46dfS1Kpn+Flqbanfbco+Hd9Uda3aAzDkklzgdfYt7TvSXRt

  LZ8wW7jLiPjt8Lufj1GvhRzfESARv18VrxfQV+U8x3EqqvfKTJrkkg91NuAKvUZSoao4B5pQLpRd

  GwQ/saP9AQSWuyU1Zw+Whw/cnmXY2xZLGx6n/ict3NW9vpttv2tBbPCe/TdofRuJbE7R1Yb60BvQ

  ajzoaQWx3RsRgca9ah+Pccxb15tPVzr1apTK7A==

• Initialize SDK with license.

  iOS-FaceRecognition-FaceLivenessDetection/FaceDemo/ViewController.swift

  Lines 37 to 50 in 6e30f27

  if let filePath = Bundle.main.path(forResource: "license", ofType: "txt") {

  do {

  let license = try String(contentsOfFile: filePath, encoding: .utf8)

  ret = FaceSDK.setActivation(license)

  } catch {

  print("Error reading file: \(error)")

  }

  } else {

  print("File not found")

  }

  if(ret == SDK_SUCCESS.rawValue) {

  ret = FaceSDK.initSDK()

  }

  Initialization status codes:

  Code	Status
  0	Activate SDK successfully
  -1	License Key Error
  -2	License AppID Error
  -3	License Expired
  -4	Activate Error
  -5	Init SDK Error

+(int)setActivation:(NSString*)license;

Parameters

• license: A string representing the license key required for activation.
• Return Value: An integer representing the SDK activation status code.

+(int)initSDK;

Parameters

• Return Value: An integer representing the initialization status code.

+(NSMutableArray*)faceDetection:(UIImage*)image;

Parameters

• image: The UIImage object representing the image in which faces will be detected.
• Return Value: An NSMutableArray containing FaceBox about the detected faces.

@interface FaceBox : NSObject
@property (nonatomic) int x1;
@property (nonatomic) int y1;
@property (nonatomic) int x2;
@property (nonatomic) int y2;
@property (nonatomic) float liveness;
@property (nonatomic) float yaw;
@property (nonatomic) float roll;
@property (nonatomic) float pitch;
@end

+(NSData*)templateExtraction:(UIImage*)image faceBox:(FaceBox*)faceBox;

Parameters

• image: The UIImage object representing the source image from which the face template will be extracted.
• faceBox: The FaceBox object representing the bounding box around the detected face.
• Return Value: An NSData object containing the extracted face template data.

+(float)similarityCalculation:(NSData*)templates1 templates2:(NSData*)templates2;

Parameters

• templates1: An NSData object representing the first face template.
• templates2: An NSData object representing the second face template.
• Return Value: A float value representing the similarity score between the two face templates.

For any questions, issues, or feature requests, please contact our support team.