Sample Application

1:N Face Identification and Liveness Detection SDK iOS Demo

NIST FRVT #1 Face Recognition, Liveness Detection Mobile SDK Demo

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Build Project

- Download and Open Project

• Download Recognito_Face_iOS.zip [21.8M]

• Open the FaceDemo project in Xcode.

- Setting Up SDK License Key

• Add your license to license.txt file:

iOS-FaceRecognition-FaceLivenessDetection/license.txt

 jwIUC3mm7P9uJDPxx/gRUttdS3bDg5n3QFnyySRB/E776MSPQAMubdyFTuzFb7BCdOx4EuoHmcsO 
 rpeGfI+Z371p/7cInVsnxLZU7PcSJh45Dd7c6maTg0QPwNLDHqdyNzRLFwKXXOX/IVuQNh6Dsen1 
 mwk6RGQZfReSUU6nLvWzC5sPgYhBVemExbbIa3UdDbBC+Bm4qNeXQ2i/08s9GFrhhbuvdYyI5TGl 
 6aVFjSGoHQhm/ENI1916+ck7BiguXMA1KFRTlchSWKhyb9CllHOGTomkoBUD3ykLlMGkcuZE8wT6 
 qpaHrtnmz1TgkP3tjK7L61BaEpWNib3uH29hWA== 

• Build Project.

- Integration Guide

• Activate and Initialize FaceSDK

override func viewDidLoad() {
    super.viewDidLoad()
    var ret = SDK_LICENSE_KEY_ERROR.rawValue
    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()
    }

• Detect Face from Camera Frame

func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {    
    guard let pixelBuffer: CVPixelBuffer = CMSampleBufferGetImageBuffer(sampleBuffer) else { return }
    
    CVPixelBufferLockBaseAddress(pixelBuffer, CVPixelBufferLockFlags.readOnly)
    let ciImage = CIImage(cvPixelBuffer: pixelBuffer)
    
    let context = CIContext()
    let cgImage = context.createCGImage(ciImage, from: ciImage.extent)
    let image = UIImage(cgImage: cgImage!)
    CVPixelBufferUnlockBaseAddress(pixelBuffer, CVPixelBufferLockFlags.readOnly)

    // Rotate and flip the image
    var capturedImage = image.rotate(radians: .pi/2)
    if(cameraLens_val == .front) {
        capturedImage = capturedImage.flipHorizontally()
    }
    
    let faceBoxes = FaceSDK.faceDetection(capturedImage)

• Extract Face Template

let faceBox = faceBoxes[0] as! FaceBox 
if(faceBox.liveness > livenessThreshold) {
    let templates = FaceSDK.templateExtraction(capturedImage, faceBox: faceBox)
    ...

• Calculate Similarity

let similarity = FaceSDK.similarityCalculation(templates, templates2: personTemplates)                    

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Application UI