@biopassid/face-sdk-react-native

v4.1.1

Published

2 days ago

BioPass ID Face React Native module.

Downloads

1,294

Key features

Face Detection
- We ensure that there will be only one face in the capture.
Face Positioning
- Ensure face position in your capture for better enroll and match.
Auto Capture
- When a face is detected the capture will be performed in how many seconds you configure.
Resolution Control
- Configure the image size thinking about the tradeoff between image quality and API's response time.
Aspect Ratio Control
Fully customizable interface

Customizations

Increase the security of your applications without harming your user experience.

All customization available:

Title Text
Help Text
Loading Text
Font Family
Face Frame
Overlay
Default Camera
Capture button

Enable or disable components:

Tittle text
Help Text
Capture button
Button icons
Flip Camera button
Flash button

Change all colors:

Overlay color and opacity
Capture button color
Capture button text color
Flip Camera color
Flash Button color
Text colors

Quick Start Guide

First, you will need a license key to use the SDK. To get your license key contact us through our website BioPass ID.

Check out our official documentation for more in depth information on BioPass ID.

1. Prerequisites:

| | Android | iOS | | ----------- | ------- | ------- | | Support | SDK 24+ | iOS 15+ |

- A device with a camera
- License key
- Internet connection is required to verify the license

2. Installation

npm install @biopassid/face-sdk-react-native

Android

Change the minimum Android sdk version to 24 (or higher) in your android/app/build.gradle file.

minSdkVersion 24

iOS

Requires iOS 15.0 or higher.

Add to the ios/Info.plist:

the key Privacy - Camera Usage Description and a usage description.

If editing Info.plist as text, add:

<key>NSCameraUsageDescription</key>
<string>Your camera usage description</string>

Then go into your project's ios folder and run pod install.

# Go into ios folder
$ cd ios

# Install dependencies
$ pod install

Privacy manifest file

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>NSPrivacyCollectedDataTypes</key>
	<array>
		<dict>
			<key>NSPrivacyCollectedDataType</key>
			<string>NSPrivacyCollectedDataTypeOtherUserContent</string>
			<key>NSPrivacyCollectedDataTypeLinked</key>
			<false/>
			<key>NSPrivacyCollectedDataTypeTracking</key>
			<false/>
			<key>NSPrivacyCollectedDataTypePurposes</key>
			<array>
				<string>NSPrivacyCollectedDataTypePurposeAppFunctionality</string>
			</array>
		</dict>
		<dict>
			<key>NSPrivacyCollectedDataType</key>
			<string>NSPrivacyCollectedDataTypeDeviceID</string>
			<key>NSPrivacyCollectedDataTypeLinked</key>
			<false/>
			<key>NSPrivacyCollectedDataTypeTracking</key>
			<false/>
			<key>NSPrivacyCollectedDataTypePurposes</key>
			<array>
				<string>NSPrivacyCollectedDataTypePurposeAppFunctionality</string>
			</array>
		</dict>
	</array>
	<key>NSPrivacyTracking</key>
	<false/>
	<key>NSPrivacyAccessedAPITypes</key>
	<array>
		<dict>
			<key>NSPrivacyAccessedAPITypeReasons</key>
			<array>
				<string>CA92.1</string>
			</array>
			<key>NSPrivacyAccessedAPIType</key>
			<string>NSPrivacyAccessedAPICategoryUserDefaults</string>
		</dict>
	</array>
</dict>
</plist>

Expo

✅ You can use this library with Development Builds. No config plugin is required.
❌ This library can't be used in the "Expo Go" app because it requires custom native code.

3. How to use

Basic example using face detection

To call @biopassid/face-sdk-react-native in your React Native project is as easy as follow:

import React from 'react';
import {StyleSheet, View, Button} from 'react-native';
import {useFace} from '@biopassid/face-sdk-react-native';

export default function App() {
  const {takeFace} = useFace();

  async function onPress() {
    await takeFace({
      config: {
        licenseKey: 'your-license-key',
        // If you want to use Liveness, uncomment this line
        // liveness: {enabled: true},
      },
      onFaceCapture: (
        image,
        faceAttributes /* Only available on Liveness */,
      ) => {
        console.log('onFaceCapture:', image.substring(0, 20));
        // Only available on Liveness
        console.log('onFaceCapture:', faceAttributes);
      },
      // Only available on Liveness
      onFaceDetected: faceAttributes => {
        console.log('onFaceDetected:', faceAttributes);
      },
    });
  }

  return (
    <View style={styles.container}>
      <Button onPress={onPress} title="Capture Face" />
    </View>
  );
}

const styles = StyleSheet.create({
  container: {
    flex: 1,
    alignItems: 'center',
    justifyContent: 'center',
    backgroundColor: '#FFFFFF',
  },
});

Example using face detection and Fetch API to call the BioPass ID API

In this example we use facial detection in liveness mode to perform automatic facial capture and send it to the BioPass ID API.

We used the Liveness from the Multibiometrics plan.

Here, you will need an API key to be able to make requests to the BioPass ID API. To get your API key contact us through our website BioPass ID.

import React from 'react';
import {StyleSheet, View, Button} from 'react-native';
import {useFace} from '@biopassid/face-sdk-react-native';

export default function App() {
  const {takeFace} = useFace();

  async function onPress() {
    await takeFace({
      config: {
        licenseKey: 'your-license-key',
        liveness: {enabled: true},
      },
      onFaceCapture: async (image, faceAttributes) => {
        // Create headers passing your api key
        const headers = {
          'Content-Type': 'application/json',
          'Ocp-Apim-Subscription-Key': '9cf1c6b269d04da8a51cc6bdfeec7557',
        };

        // Create json body
        const body = JSON.stringify({
          Spoof: {Image: image},
        });

        // Execute request to BioPass ID API
        const response = await fetch(
          'https://api.biopassid.com/multibiometrics/v2/liveness',
          {
            method: 'POST',
            headers,
            body,
          },
        );
        const data = await response.json();

        // Handle API response
        console.log('Response status: ', response.status);
        console.log('Response body: ', data);
      },
      onFaceDetected: faceAttributes => {
        console.log('onFaceDetected:', faceAttributes);
      },
    });
  }

  return (
    <View style={styles.container}>
      <Button onPress={onPress} title="Capture Face" />
    </View>
  );
}

const styles = StyleSheet.create({
  container: {
    flex: 1,
    alignItems: 'center',
    justifyContent: 'center',
    backgroundColor: '#FFFFFF',
  },
});

Basic example using face recognition

import React, {useEffect, useState} from 'react';
import {
  StyleSheet,
  View,
  ScrollView,
  Text,
  TouchableOpacity,
  Image,
} from 'react-native';
import {
  FaceConfig,
  FaceExtract,
  useFace,
  useRecognition,
} from '@biopassid/face-sdk-react-native';

export default function App() {
  const [imageA, setImageA] = useState<string | null>();
  const [imageB, setImageB] = useState<string | null>();
  const [faceExtractA, setFaceExtractA] = useState<FaceExtract | null>();
  const [faceExtractB, setFaceExtractB] = useState<FaceExtract | null>();
  const {takeFace} = useFace();
  const {closeRecognition, extract, startRecognition, verify} =
    useRecognition();

  const config: FaceConfig = {licenseKey: 'your-license-key'};

  useEffect(() => {
    startRecognition('your-license-key');

    return () => closeRecognition();
  }, [closeRecognition, startRecognition]);

  async function extractA() {
    await takeFace({
      config: config,
      onFaceCapture: async (image, faceAttributes) => {
        setImageA(image);
        const faceExtractA = await extract(image);
        setFaceExtractA(faceExtractA);
        console.log('ExtractA:', faceExtractA);
      },
    });
  }

  async function extractB() {
    await takeFace({
      config: config,
      onFaceCapture: async (image, faceAttributes) => {
        setImageB(image);
        const faceExtractB = await extract(image);
        setFaceExtractB(faceExtractB);
        console.log('ExtractB:', faceExtractB);
      },
    });
  }

  async function verifyTemplates() {
    if (faceExtractA && faceExtractB) {
      const faceVerify = await verify(
        faceExtractA!.template,
        faceExtractB!.template,
      );
      console.log('Verify:', faceVerify);
    }
  }

  return (
    <ScrollView style={styles.container}>
      <Text style={styles.title}>Face Recognition</Text>
      {imageA && (
        <View style={styles.imageContainer}>
          <Image
            style={styles.image}
            source={{
              uri: `data:image/png;base64,${imageA}`,
            }}
          />
        </View>
      )}
      <TouchableOpacity style={styles.button} onPress={extractA}>
        <Text style={styles.buttonText}>Extract A</Text>
      </TouchableOpacity>
      {imageB && (
        <View style={styles.imageContainer}>
          <Image
            style={styles.image}
            source={{
              uri: `data:image/png;base64,${imageB}`,
            }}
          />
        </View>
      )}
      <TouchableOpacity style={styles.button} onPress={extractB}>
        <Text style={styles.buttonText}>Extract B</Text>
      </TouchableOpacity>
      <TouchableOpacity style={styles.button} onPress={verifyTemplates}>
        <Text style={styles.buttonText}>Verify Templates</Text>
      </TouchableOpacity>
    </ScrollView>
  );
}

const styles = StyleSheet.create({
  container: {
    flex: 1,
    paddingHorizontal: 30,
    backgroundColor: '#FFF',
  },
  title: {
    marginTop: 54,
    marginBottom: 15,
    color: '#000',
    fontSize: 32,
    fontWeight: 'bold',
    textAlign: 'center',
  },
  imageContainer: {
    marginTop: 12,
    alignItems: 'center',
    justifyContent: 'center',
  },
  image: {
    width: 150,
    height: 150,
    resizeMode: 'contain',
    marginBottom: 20,
  },
  button: {
    marginBottom: 15,
    alignItems: 'center',
    backgroundColor: '#D6A262',
    padding: 10,
  },
  buttonText: {
    fontSize: 25,
    fontWeight: 'bold',
    color: '#FFF',
  },
});

Example using face recognition and local DB to save templates

In this example we use react-native-sqlite-storage to save templates locally.

First, add the react-native-sqlite-storage package.

npm install react-native-sqlite-storage

Because we’re using TypeScript, we can install @types/react-native-sqlite-storage to use the included types. If you stick to JavaScript, you don’t have to install this library.

Template data model

Define the Template data model:

export interface Template {
  id: number;
  image: string;
  template: string;
}

DBHelper

Create the DBHelper to handle DB operations:

import {
  enablePromise,
  openDatabase,
  SQLiteDatabase,
} from 'react-native-sqlite-storage';

import {Template} from './Template';

const tableName = 'templates';

enablePromise(true);

export async function getDBConnection() {
  return openDatabase({name: 'template.db', location: 'default'});
}

export async function createTable(db: SQLiteDatabase) {
  const query = `CREATE TABLE IF NOT EXISTS ${tableName} (id INTEGER PRIMARY KEY AUTOINCREMENT, image TEXT, template TEXT)`;
  await db.executeSql(query);
}

export async function getTemplates(db: SQLiteDatabase): Promise<Template[]> {
  try {
    const templates: Template[] = [];
    const results = await db.executeSql(`SELECT * FROM ${tableName}`);
    results.forEach(result => {
      for (let index = 0; index < result.rows.length; index++) {
        templates.push(result.rows.item(index));
      }
    });
    return templates;
  } catch (error) {
    console.error(error);
    throw Error('Failed to get templates');
  }
}

export async function saveTemplate(
  db: SQLiteDatabase,
  image: string,
  template: string,
) {
  const insertQuery = `INSERT INTO ${tableName} (image, template) values (?, ?)`;
  return db.executeSql(insertQuery, [image, template]);
}

export async function deleteTemplate(db: SQLiteDatabase, id: number) {
  const deleteQuery = `DELETE FROM ${tableName} WHERE id = ${id}`;
  await db.executeSql(deleteQuery);
}

App.tsx

In your App.tsx:

import React, {useCallback, useEffect, useState} from 'react';
import {
  StyleSheet,
  View,
  ScrollView,
  Text,
  TouchableOpacity,
  Image,
  Button,
  Alert,
} from 'react-native';
import {
  FaceConfig,
  useFace,
  useRecognition,
} from '@biopassid/face-sdk-react-native';

import {Template} from './Template';
import {
  createTable,
  deleteTemplate,
  getDBConnection,
  getTemplates,
  saveTemplate,
} from './DBHelper';

export default function App() {
  const [templates, setTemplates] = useState<Template[]>([]);
  const {takeFace} = useFace();
  const {closeRecognition, extract, startRecognition, verify} =
    useRecognition();

  const config: FaceConfig = {licenseKey: 'your-license-key'};

  const loadDataCallback = useCallback(async () => {
    try {
      const storedTemplates = await getAll();
      setTemplates(storedTemplates);
    } catch (error) {
      console.error(error);
    }
  }, []);

  useEffect(() => {
    loadDataCallback();
    startRecognition('your-license-key');

    return () => closeRecognition();
  }, [closeRecognition, loadDataCallback, startRecognition]);

  async function getAll() {
    const db = await getDBConnection();
    await createTable(db);
    return await getTemplates(db);
  }

  async function extractTemplate() {
    await takeFace({
      config: config,
      onFaceCapture: async (image, faceAttributes) => {
        try {
          const faceExtract = await extract(image);

          if (faceExtract) {
            const db = await getDBConnection();
            await saveTemplate(db, image, faceExtract!.template);
            loadDataCallback();
          }
        } catch (error) {
          console.error(error);
        }
      },
    });
  }

  async function verifyTemplate() {
    await takeFace({
      config: config,
      onFaceCapture: async (image, faceAttributes) => {
        try {
          const faceExtract = await extract(image);

          if (faceExtract) {
            const templates = await getAll();

            const filteredTemplates: Template[] = [];

            for (const template of templates) {
              const faceVerify = await verify(
                faceExtract!.template,
                template.template,
              );
              if (faceVerify?.isGenuine) {
                filteredTemplates.push(template);
              }
            }

            if (filteredTemplates.length) {
              setTemplates(filteredTemplates);
            } else {
              Alert.alert(
                'Template not found',
                'No template was found compatible with the captured image.',
                [{text: 'OK', onPress: () => {}}],
              );
            }
          }
        } catch (error) {
          console.error(error);
        }
      },
    });
  }

  async function removeTemplate(template: Template) {
    try {
      const db = await getDBConnection();
      await deleteTemplate(db, template.id);
      loadDataCallback();
    } catch (error) {
      console.error(error);
    }
  }

  return (
    <View style={styles.container}>
      <Text style={styles.title}>Face Recognition</Text>
      <ScrollView style={styles.templateList}>
        <View>
          {templates.map(template => (
            <TouchableOpacity
              key={template.id}
              onLongPress={() => removeTemplate(template)}>
              <View style={styles.templateItem}>
                <Image
                  style={styles.image}
                  source={{
                    uri: `data:image/png;base64,${template.image}`,
                  }}
                />
                <Text style={styles.templateItemTitle}>{template.id}</Text>
              </View>
            </TouchableOpacity>
          ))}
        </View>
      </ScrollView>
      <View style={styles.buttonContainer}>
        <Button onPress={extractTemplate} title="Add template" />
      </View>
      <View style={styles.buttonContainer}>
        <Button onPress={verifyTemplate} title="Verify Template" />
      </View>
      <View style={styles.buttonContainer}>
        <Button onPress={loadDataCallback} title="Get All" />
      </View>
    </View>
  );
}

const styles = StyleSheet.create({
  container: {
    flex: 1,
    paddingHorizontal: 30,
    backgroundColor: '#FFF',
  },
  title: {
    marginTop: 54,
    marginBottom: 15,
    color: '#000',
    fontSize: 32,
    fontWeight: 'bold',
    textAlign: 'center',
  },
  buttonContainer: {
    marginBottom: 15,
  },
  templateList: {
    marginBottom: 15,
  },
  templateItem: {
    flex: 1,
    flexDirection: 'row',
    alignItems: 'center',
    marginBottom: 15,
  },
  image: {
    height: 40,
    width: 40,
    borderRadius: 40,
  },
  templateItemTitle: {
    marginLeft: 20,
    color: '#000',
  },
});

4. LicenseKey

First, you will need a license key to use the SDK. To get your license key contact us through our website BioPass ID.

To use @biopassid/face-sdk-react-native you need a license key. To set the license key needed is simple as setting another attribute. Simply doing:

// Face Detection
import { useFace } from '@biopassid/face-sdk-react-native';
const { takeFace } = useFace();
await takeFace({
  config: { licenseKey: 'your-license-key' },
  onFaceCapture: (image, faceAttributes) => {},
});

// Face Recognition
import { useRecognition } from '@biopassid/face-sdk-react-native';
const { startRecognition } = useRecognition();
startRecognition('your-license-key');

5. Face detection callback

You can set a custom callback to receive the captured image. Note: FaceAttributes will only be available if livenes mode is enabled. You can write you own callback following this example:

import { useFace } from '@biopassid/face-sdk-react-native';
const { takeFace } = useFace();
await takeFace({
  config: { licenseKey: 'your-license-key' },
  onFaceCapture: (image, faceAttributes) => {
    console.log('onFaceCapture:', image.substring(0, 20));
    console.log('onFaceCapture:', faceAttributes);
  },
  onFaceDetected: (faceAttributes) => {
    console.log('onFaceDetected:', faceAttributes);
  },
});

FaceAttributes

| Name | Type | Description | | ---------------------------------------- | -------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | faceProp | number | Proportion of the area occupied by the face in the image, in percentage | | faceWidth | number | Face width, in pixels | | faceHeight | number | Face height, in pixels | | ied | number | Distance between left eye and right eye, in pixels | | bbox | FaceRect | Face bounding box | | rollAngle | number | The Euler angle X of the head. Indicates the rotation of the face about the axis pointing out of the image. Positive z euler angle is a counter-clockwise rotation within the image plane | | pitchAngle | number | The Euler angle X of the head. Indicates the rotation of the face about the horizontal axis of the image. Positive x euler angle is when the face is turned upward in the image that is being processed | | yawAngle | number | The Euler angle Y of the head. Indicates the rotation of the face about the vertical axis of the image. Positive y euler angle is when the face is turned towards the right side of the image that is being processed | | averageLightIntensity | number | The average intensity of the pixels in the image | | leftEyeOpenProbability? // Android Only | number | Probability that the face’s left eye is open, in percentage | | rightEyeOpenProbability? // Android Only | number | Probability that the face’s right eye is open, in percentage | | smilingProbability? // Android Only | number | Probability that the face is smiling, in percentage |

FaceRect

| Name | Type | | ------ | ------ | | left | number | | top | number | | right | number | | bottom | number |

6. Face detection

The SDK supports 2 types of facial detection, below you can see their description and how to use them:

Basic face detection

A simpler facial detection, supporting face centering and proximity. This is the SDK's default detection. See FaceDetectionOptions to see what settings are available for this functionality. Note: For this functionality to work, liveness mode and continuous capture must be disabled. See below how to use:

const config: FaceConfig = {
  licenseKey: 'your-license-key',
  liveness: { enabled: false }, // liveness mode must be disabled. This is the default value
  continuousCapture: { enabled: false }, // continuous capture must be disabled. This is the default value
  faceDetection: {
    enabled: true,
    autoCapture: true,
    multipleFacesEnabled: false,
    timeToCapture: 3000, // time in millisecond
    maxFaceDetectionTime: 60000, // time in millisecond
    scoreThreshold: 0.5,
  },
};

Liveness face detection

More accurate facial detection supporting more features beyond face centering and proximity. Ideal for those who want to have more control over facial detection. See FaceLivenessDetectionOptions to see what settings are available for this functionality. Note: This feature only works with the front camera. See below how to use:

const config: FaceConfig = {
  licenseKey: 'your-license-key',
  liveness: {
    enabled: true,
    debug: false,
    timeToCapture: 3000, // time in milliseconds
    maxFaceDetectionTime: 60000, // time in milliseconds
    minFaceProp: 0.1,
    maxFaceProp: 0.4,
    minFaceWidth: 150,
    minFaceHeight: 150,
    ied: 90,
    bboxPad: 20,
    faceDetectionThresh: 0.5,
    rollThresh: 4.0,
    pitchThresh: 4.0,
    yawThresh: 4.0,
    closedEyesThresh: 0.7,
    smilingThresh: 0.7,
    tooDarkThresh: 50,
    tooLightThresh: 170,
    faceCentralizationThresh: 0.05,
  },
};

7. Continuous capture

You can use continuous shooting to capture multiple frames at once. Additionally, you can set a maximum number of frames to be captured using maxNumberFrames. As well as capture time with timeToCapture. Note: Facial detection does not work with continuous capture. Using continuous capture is as simple as setting another attribute. Simply by doing:

const config: FaceConfig = {
  licenseKey: 'your-license-key',
  liveness: { enabled: false }, // liveness mode must be disabled. This is the default value
  continuousCapture: {
    enabled: true,
    timeToCapture: 1000, // capture every frame per second, time in millisecond
    maxNumberFrames: 40,
  },
};

8. Face recognition (Android Only)

Extract template

Extract is a funcionality to extract a template from a given biometric image. The operation returns a FaceExtract object which contains the resulting template as a byte array and a status.

import { useRecognition } from '@biopassid/face-sdk-react-native';
const { extract, startRecognition } = useRecognition();
startRecognition('your-license-key');
const faceExtract = await extract(base64Image);

FaceExtract

| Name | Type | Description | | -------- | ------ | ----------------------------------------- | | status | number | The resulting status | | template | string | The resulting template as a base64 string |

Verify templates

Verify is a funcionality to compares two biometric templates. The operation returns a FaceVerify object which contains the resulting score and if the templates are correspondent.

import { useRecognition } from '@biopassid/face-sdk-react-native';
const { startRecognition, verify } = useRecognition();
startRecognition('your-license-key');
const faceVerify = await verify(base64Template, base64Template);

FaceVerify

| Name | Type | Description | | --------- | ------- | ---------------------------------------------------------------------------------------------------- | | isGenuine | boolean | Indicates whether the informed biometric templates are correspondent or not | | score | number | Indicates the level of similarity between the two given biometrics. Its value may vary from 0 to 100 |

FaceConfig

You can also use pre-build configurations on your application, so you can automatically start using multiples services and features that better suit your application. You can instantiate each one and use it's default properties, or if you prefer you can change every config available. Here are the types that are supported right now:

FaceConfig

| Name | Type | | ------------------ | ---------------------------- | | licenseKey | string | | resolutionPreset | FaceResolutionPreset | | lensDirection | FaceCameraLensDirection | | imageFormat | FaceImageFormat | | flashEnabled | boolean | | fontFamily | string | | liveness | FaceLivenessDetectionOptions | | continuousCapture | FaceContinuousCaptureOptions | | faceDetection | FaceDetectionOptions | | mask | FaceMaskOptions | | titleText | FaceTextOptions | | loadingText | FaceTextOptions | | helpText | FaceTextOptions | | feedbackText | FaceFeedbackTextOptions | | backButton | FaceButtonOptions | | flashButton | FaceFlashButtonOptions | | switchCameraButton | FaceButtonOptions | | captureButton | FaceButtonOptions |

Default configs:

const defaultConfig: FaceConfig = {
  licenseKey: '',
  resolutionPreset: FaceResolutionPreset.VERYHIGH,
  lensDirection: FaceCameraLensDirection.FRONT,
  imageFormat: FaceImageFormat.JPEG,
  flashEnabled: false,
  fontFamily: 'facesdk_opensans_bold',
  liveness: {
    enabled: false,
    debug: false,
    timeToCapture: 3000,
    maxFaceDetectionTime: 60000,
    minFaceProp: 0.1,
    maxFaceProp: 0.4,
    minFaceWidth: 150,
    minFaceHeight: 150,
    ied: 90,
    bboxPad: 20,
    faceDetectionThresh: 0.5,
    rollThresh: 4.0,
    pitchThresh: 4.0,
    yawThresh: 4.0,
    closedEyesThresh: 0.7,
    smilingThresh: 0.7,
    tooDarkThresh: 50,
    tooLightThresh: 170,
    faceCentralizationThresh: 0.05,
  },
  continuousCapture: {
    enabled: false,
    timeToCapture: 1000,
    maxNumberFrames: 40,
  },
  faceDetection: {
    enabled: true,
    autoCapture: true,
    multipleFacesEnabled: false,
    timeToCapture: 3000,
    maxFaceDetectionTime: 40000,
    scoreThreshold: 0.7,
  },
  mask: {
    enabled: true,
    type: FaceMaskFormat.FACE,
    backgroundColor: '#CC000000',
    frameColor: '#FFFFFF',
    frameEnabledColor: '#16AC81',
    frameErrorColor: '#E25353',
  },
  titleText: {
    enabled: true,
    content: 'Capturing Face',
    textColor: '#FFFFFF',
    textSize: 20,
  },
  loadingText: {
    enabled: true,
    content: 'Processing...',
    textColor: '#FFFFFF',
    textSize: 14,
  },
  helpText: {
    enabled: true,
    content: 'Fit your face into the shape below',
    textColor: '#FFFFFF',
    textSize: 14,
  },
  feedbackText: {
    enabled: true,
    messages: {
      noDetection: 'No faces detected',
      multipleFaces: 'Multiple faces detected',
      faceCentered: 'Face centered. Do not move',
      tooClose: 'Turn your face away',
      tooFar: 'Bring your face closer',
      tooLeft: 'Move your face to the right',
      tooRight: 'Move your face to the left',
      tooUp: 'Move your face down',
      tooDown: 'Move your face up',
      invalidIED: 'Invalid inter-eye distance',
      faceAngleMisaligned: 'Misaligned face angle',
      closedEyes: 'Open your eyes',
      smiling: 'Do not smile',
      tooDark: 'Too dark',
      tooLight: 'Too light',
    },
    textColor: '#FFFFFF',
    textSize: 14,
  },
  backButton: {
    enabled: true,
    backgroundColor: '#00000000',
    buttonPadding: 0,
    buttonSize: { width: 56, height: 56 },
    iconOptions: {
      enabled: true,
      iconFile: 'facesdk_ic_close',
      iconColor: '#FFFFFF',
      iconSize: { width: 32, height: 32 },
    },
    labelOptions: {
      enabled: false,
      content: 'Back',
      textColor: '#FFFFFF',
      textSize: 14,
    },
  },
  flashButton: {
    enabled: false,
    backgroundColor: '#FFFFFF',
    buttonPadding: 0,
    buttonSize: { width: 56, height: 56 },
    flashOnIconOptions: {
      enabled: true,
      iconFile: 'facesdk_ic_flash_on',
      iconColor: '#FFCC01',
      iconSize: { width: 32, height: 32 },
    },
    flashOnLabelOptions: {
      enabled: false,
      content: 'Flash On',
      textColor: '#323232',
      textSize: 14,
    },
    flashOffIconOptions: {
      enabled: true,
      iconFile: 'facesdk_ic_flash_off',
      iconColor: '#323232',
      iconSize: { width: 32, height: 32 },
    },
    flashOffLabelOptions: {
      enabled: false,
      content: 'Flash Off',
      textColor: '#323232',
      textSize: 14,
    },
  },
  switchCameraButton: {
    enabled: true,
    backgroundColor: '#FFFFFF',
    buttonPadding: 0,
    buttonSize: { width: 56, height: 56 },
    iconOptions: {
      enabled: true,
      iconFile: 'facesdk_ic_switch_camera',
      iconColor: '#323232',
      iconSize: { width: 32, height: 32 },
    },
    labelOptions: {
      enabled: false,
      content: 'Switch Camera',
      textColor: '#323232',
      textSize: 14,
    },
  },
  captureButton: {
    enabled: true,
    backgroundColor: '#FFFFFF',
    buttonPadding: 0,
    buttonSize: { width: 56, height: 56 },
    iconOptions: {
      enabled: true,
      iconFile: 'facesdk_ic_capture',
      iconColor: '#323232',
      iconSize: { width: 32, height: 32 },
    },
    labelOptions: {
      enabled: false,
      content: 'Capture',
      textColor: '#323232',
      textSize: 14,
    },
  },
};

FaceContinuousCaptureOptions

| Name | Type | | --------------- | ------------------------------ | | enabled | boolean | | timeToCapture | number // time in milliseconds | | maxNumberFrames | number |

FaceDetectionOptions

| Name | Type | Description | | -------------------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | enabled | boolean | Activates facial detection | | autoCapture | boolean | Activates automatic capture | | multipleFacesEnabled | boolean | Allows the capture of photos with two or more faces | | timeToCapture | number | Time it takes to perform an automatic capture, in miliseconds | | maxFaceDetectionTime | number | Maximum facial detection attempt time, in miliseconds | | scoreThreshold | number | Minimum trust score for a detection to be considered valid. Must be a number between 0 and 1, which 0.1 would be a lower face detection trust level and 0.9 would be a higher trust level |

FaceLivenessDetectionOptions

| Name | Type | Description | | -------------------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | enabled | boolean | Activates facial detection | | debug | boolean | If activated, a red rectangle will be drawn around the detected faces, in addition, it will be shown in the feedback message which attribute caused an invalid face | | timeToCapture | number | Time it takes to perform an automatic capture, in miliseconds | | maxFaceDetectionTime | number | Maximum facial detection attempt time, in miliseconds | | minFaceProp | number | Maximum facial detection attempt time, in miliseconds | | maxFaceProp | number | Maximum limit on the proportion of the area occupied by the face in the image, in percentage | | minFaceWidth | number | Minimum face width, in pixels | | minFaceHeight | number | Minimum face height, in pixels | | ied | number | Minimum distance between left eye and right eye, in pixels | | bboxPad | number | Padding the face's bounding box to the edges of the image, in pixels | | faceDetectionThresh | number | Minimum trust score for a detection to be considered valid. Must be a number between 0 and 1, which 0.1 would be a lower face detection trust level and 0.9 would be a higher trust level | | rollThresh | number | The Euler angle X of the head. Indicates the rotation of the face about the axis pointing out of the image. Positive z euler angle is a counter-clockwise rotation within the image plane | | pitchThresh | number | The Euler angle X of the head. Indicates the rotation of the face about the horizontal axis of the image. Positive x euler angle is when the face is turned upward in the image that is being processed | | yawThresh | number | The Euler angle Y of the head. Indicates the rotation of the face about the vertical axis of the image. Positive y euler angle is when the face is turned towards the right side of the image that is being processed | | closedEyesThresh // Android Only | number | Minimum probability threshold that the left eye and right eye of the face are closed, in percentage. A value less than 0.7 indicates that the eyes are likely closed | | smilingThresh // Android Only | number | Minimum threshold for the probability that the face is smiling, in percentage. A value of 0.7 or more indicates that a person is likely to be smiling | | tooDarkThresh | number | Minimum threshold for the average intensity of the pixels in the image | | tooLightThresh | number | Maximum threshold for the average intensity of the pixels in the image | | faceCentralizationThresh | number | Threshold to consider the face centered, in percentage |

FaceMaskOptions

| Name | Type | | ----------------- | -------------- | | enabled | boolean | | type | FaceMaskFormat | | backgroundColor | string | | frameColor | string | | frameEnabledColor | string | | frameErrorColor | string |

FaceFeedbackTextOptions

| Name | Type | | --------- | ------------------------ | | enabled | boolean | | messages | FaceFeedbackTextMessages | | textColor | string | | textSize | number |

FaceFeedbackTextMessages

| Name | Type | | -------------------------- | ------ | | noDetection | string | | multipleFaces | string | | faceCentered | string | | tooClose | string | | tooFar | string | | tooLeft | string | | tooRight | string | | tooUp | string | | tooDown | string | | invalidIED | string | | faceAngleMisaligned | string | | closedEyes // Android Only | string | | smiling // Android Only | string | | tooDark | string | | tooLight | string |

FaceFlashButtonOptions

| Name | Type | | -------------------- | --------------- | | enabled | boolean | | backgroundColor | string | | buttonPadding | number | | buttonSize | FaceSize | | flashOnIconOptions | FaceIconOptions | | flashOnLabelOptions | FaceTextOptions | | flashOffIconOptions | FaceIconOptions | | flashOffLabelOptions | FaceTextOptions |

FaceButtonOptions

| Name | Type | | --------------- | --------------- | | enabled | boolean | | backgroundColor | string | | buttonPadding | number | | buttonSize | FaceSize | | iconOptions | FaceIconOptions | | labelOptions | FaceTextOptions |

FaceIconOptions

| Name | Type | | --------- | -------- | | enabled | boolean | | iconFile | string | | iconColor | string | | iconSize | FaceSize |

FaceTextOptions

| Name | Type | | --------- | ------- | | enabled | boolean | | content | string | | textColor | string | | textSize | number |

FaceCameraLensDirection (enum)

| Name | | ----------------------------- | | FaceCameraLensDirection.FRONT | | FaceCameraLensDirection.BACK |

FaceImageFormat (enum)

| Name | | -------------------- | | FaceImageFormat.JPEG | | FaceImageFormat.PNG |

FaceMaskFormat (enum)

| Name | | ---------------------- | | FaceMaskFormat.FACE | | FaceMaskFormat.SQUARE | | FaceMaskFormat.ELLIPSE |

FaceResolutionPreset (enum)

| Name | Resolution | | ------------------------------ | ----------------------------------------- | | FaceResolutionPreset.LOW | 240p (352x288 on iOS, 320x240 on Android) | | FaceResolutionPreset.MEDIUM | 480p (640x480 on iOS, 720x480 on Android) | | FaceResolutionPreset.HIGH | 720p (1280x720) | | FaceResolutionPreset.VERYHIGH | 1080p (1920x1080) | | FaceResolutionPreset.ULTRAHIGH | 2160p (3840x2160) | | FaceResolutionPreset.MAX | The highest resolution available |

How to change font family

on Android side

You can use the default font family or set one of your own. To set a font, create a folder font under res directory in your android/app/src/main/res. Download the font which ever you want and paste it inside font folder. All font file names must be only: lowercase a-z, 0-9, or underscore. The structure should be some thing like below.

on iOS side

To add the font files to your Xcode project:

In Xcode, select the Project navigator.
Drag your fonts from a Finder window into your project. This copies the fonts to your project.
Select the font or folder with the fonts, and verify that the files show their target membership checked for your app’s targets.

Then, add the "Fonts provided by application" key to your app’s Info.plist file. For the key’s value, provide an array of strings containing the relative paths to any added font files.

In the following example, the font file is inside the fonts directory, so you use fonts/roboto_mono_bold_italic.ttf as the string value in the Info.plist file.

on JS side

Finally, just set the font passing the name of the font file when instantiating FaceConfig in your React Native app.

const config: FaceConfig = {
  licenseKey: "your-license-key",
  fontFamily: "roboto_mono_bold_italic",
};

How to change icon

on Android side

You can use the default icons or define one of your own. To set a icon, download the icon which ever you want and paste it inside drawable folder in your android/app/src/main/res. All icon file names must be only: lowercase a-z, 0-9, or underscore. The structure should be some thing like below.

on iOS side

To add icon files to your Xcode project:

In the Project navigator, select an asset catalog: a file with a .xcassets file extension.
Drag an image from the Finder to the outline view. A new image set appears in the outline view, and the image asset appears in a well in the detail area.

on JS side

Finally, just set the icon passing the name of the icon file when instantiating FaceConfig in your React Native app.

const config: FaceConfig = {
  licenseKey: "your-license-key",
  // Changing back button icon
  backButton: { iconOptions: { iconFile: "ic_baseline_camera" } },
  // Changing switch camera button icon
  switchCameraButton: { iconOptions: { iconFile: "ic_baseline_camera" } },
  // Changing capture button icon
  captureButton: { iconOptions: { iconFile: "ic_baseline_camera" } },
  // Changing flash button icon
  flashButton: {
    flashOnIconOptions: { iconFile: 'ic_baseline_camera' },
    flashOffIconOptions: { iconFile: 'ic_baseline_camera' },
  },
};

Something else

Do you like the Face SDK and would you like to know about our other products? We have solutions for fingerprint detection and digital signature capture.

Face SDK
Fingerprint SDK
- Fingerprint SDK Flutter
- Fingerprint SDK React Native
Signature SDK
- Signature SDK Flutter
- Signature SDK React Native

Changelog

v4.1.1

Documentation update;
Dlib has been removed and wrapped in an external lib to avoid conflicts with other BioPasss ID SDKs on Android.

v4.1.0

Documentation update;
Upgrade minimum iOS version to 15.0;
Added liveness mode for face detection on iOS.

v4.0.1

Documentation update;
Fixed a bug where the maximum detection time was reset even after the SDK was closed.

v4.0.0

Documentation update;
All texts in English by default;
Bug fixes for face centering;
Changing the name of FaceFeedbackTextMessages properties, see faceconfig section;
Added new liveness mode for face detection (Android only);
Added new face recognition (Android only):
- Extract: Operation to extract a template from a given biometric image;
- Verify: Operation that compares two biometric templates.

Breaking Changes

FaceFeedbackTextMessages

// Before
const config: FaceConfig = {
  licenseKey: 'your-license-key',
  feedbackText: {
    messages: {
      noFaceDetectedMessage: 'No faces detected',
      multipleFacesDetectedMessage: 'Multiple faces detected',
      detectedFaceIsCenteredMessage: 'Face centered. Do not move',
      detectedFaceIsTooCloseMessage: 'Turn your face away',
      detectedFaceIsTooFarMessage: 'Bring your face closer',
      detectedFaceIsOnTheLeftMessage: 'Move your face to the right',
      detectedFaceIsOnTheRightMessage: 'Move your face to the left',
      detectedFaceIsTooUpMessage: 'Move your face down',
      detectedFaceIsTooDownMessage: 'Move your face up',
    },
  },
};

// Now
const config: FaceConfig = {
  licenseKey: 'your-license-key',
  feedbackText: {
    messages: {
      noDetection: 'No faces detected',
      multipleFaces: 'Multiple faces detected',
      faceCentered: 'Face centered. Do not move',
      tooClose: 'Turn your face away',
      tooFar: 'Bring your face closer',
      tooLeft: 'Move your face to the right',
      tooRight: 'Move your face to the left',
      tooUp: 'Move your face down',
      tooDown: 'Move your face up',
    },
  },
};

v3.0.2

Documentation update;
Connection timeout for license activation removed on Android;
References to class R fixed on Android.

v3.0.1

Documentation update;
Upgrade to React Native 0.74;
Added privacy manifest info on iOS.

v3.0.0

Documentation update;
Changed the minimum Android sdk version from 21 to 24, see installation section;
Removed faceDetectionDisabledMessage from FaceFeedbackTextMessages;
Renamed FaceMaskFormat.ellipsis to FaceMaskFormat.ellipse;
Added new score threshold functionality to FaceDetectionOptions:
- Minimum trust score for a detection to be considered valid. Must be a number between 0 and 1, which 0.1 would be a lower face detection trust level and 0.9 would be a higher trust level. Default: 0.7.

v2.1.6

Documentation update;
Bug fixes on Android.

v2.1.5

Documentation update;
Reverted change in facial proximity calculation on Android.

v2.1.4

Documentation update;
Fixed a bug that caused crash when perform multiple switch camera click requests simultaneously on Android;
Improved facial proximity calculation on Android.

v2.1.3

Documentation update;
Fixing bug that caused crash when clicking the back button while capturing the photo on Android.

v2.1.2

Documentation update;
Fixed a bug that caused the captured image to be different from the camera preview image on some devices.

v2.1.1

Documentation update;
Fixed a bug that left the face shape stretched on some devices.

v2.1.0

Documentation update;
Added screen brightness adjustment functionality during frontal captures.

v2.0.4

Documentation update;
Facial detection adjustment for Android.

v2.0.3

Documentation update;
Layout fixes for Android.

v2.0.2

Documentation update.

v2.0.1

Documentation update;
Bug fix in license functionality for Android;
Face detection improvements for Android;
Bug fix in camera preview for Android.

v2.0.0

Documentation update;
Refactoring in FaceConfig;
Refactoring in UI customization functionality.

v1.2.2

Documentation update;
Bug fixes and improvements.

v1.2.1

Documentation update;
Bug fix in maxFaceDetectionTime for Android.

v1.2.0

Documentation update;
Refactoring on autoCaptureTimeout:
- Now the autoCaptureTimeout is called timeToCapture.
New feature maxFaceDetectionTime:
- It is now possible to set a maximum time that face detection will be active.

v1.1.1

Documentation update.

v1.1.0

New feature maxNumberFrames:
- It is now possible to set a maximum number of frames to be captured during continuous capture.
Documentation update.

v1.0.1

Documentation update;
Fixed a bug that caused the camera preview image to be stretched during continuous capture for Android;
Improved license functionality for iOS.

v1.0.0

Documentation update;
FaceCameraPreset Refactoring;
FaceEvent refactoring:
- Now the photo is returned in Base64 string format.
Fix autoCaptute and autoCaptuteTimeout for iOS;
Fix CustomFonts feature for iOS.

v0.1.23

Documentation update;
New config option autoCaptureTimeout;
UI customization improvements:
- Added FaceScreenShape with more face shape options;
- Added progress animation during face detection.

v0.1.22

Bug fixes;
Documentation update.

v0.1.21

Bug fixes.

v0.1.20

New licensing feature.

v0.1.19

Bug fix.

v0.1.18

Bug fixes;
Flash mode fixes;
Face detection improvement;
New feature automatic capture;
UI customization improvements;
New feature face detection;
Camera preset fix;
Camera preview fix;
New icon capture button;
Fix in requesting permissions;
Fix in performance of ContinuousCapture;
Parameterizable screenTitle;
New option to set text color;
New custom capture button;
Class name standardization;
New option to set the font.

v0.1.13

Face Capture SDK for Android and iOS.

Published

Vulnerabilities

Links

Maintainers

Keywords

Readme

Key features

Customizations

Quick Start Guide

First, you will need a license key to use the SDK. To get your license key contact us through our website BioPass ID.

1. Prerequisites:

2. Installation

Android

iOS

Privacy manifest file

Expo

3. How to use

Basic example using face detection

Example using face detection and Fetch API to call the BioPass ID API

Basic example using face recognition

Example using face recognition and local DB to save templates

Template data model

DBHelper

App.tsx

4. LicenseKey

First, you will need a license key to use the SDK. To get your license key contact us through our website BioPass ID.

5. Face detection callback

FaceAttributes

FaceRect

6. Face detection

Basic face detection

Liveness face detection

7. Continuous capture

8. Face recognition (Android Only)

Extract template

FaceExtract

Verify templates

FaceVerify

FaceConfig

FaceConfig

FaceContinuousCaptureOptions

FaceDetectionOptions

FaceLivenessDetectionOptions

FaceMaskOptions

FaceFeedbackTextOptions

FaceFeedbackTextMessages

FaceFlashButtonOptions

FaceButtonOptions

FaceIconOptions

FaceTextOptions

FaceCameraLensDirection (enum)

FaceImageFormat (enum)

FaceMaskFormat (enum)

FaceResolutionPreset (enum)

How to change font family

on Android side

on iOS side

on JS side

How to change icon

on Android side

on iOS side

on JS side

Something else

Changelog

v4.1.1

v4.1.0

v4.0.1

v4.0.0

Breaking Changes

FaceFeedbackTextMessages

v3.0.2

v3.0.1

v3.0.0

v2.1.6

v2.1.5

v2.1.4

v2.1.3

v2.1.2

v2.1.1

v2.1.0