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Calling the Face Liveness APIs

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Calling the Face Liveness APIs - Amazon Rekognition

You can test Amazon Rekognition Face Liveness with any supported AWS SDK , like the AWS Python SDK Boto3 or the AWS SDK for Java. You can call the CreateFaceLivenessSession and GetFaceLivenessSessionResults APIs with your chosen SDK. The following section demonstrates how to call these APIs with the Python and Java SDKs.

To call the Face Liveness APIs:

Python

The following snippet shows how you can call these APIs in your Python applications. Note that to run this example you will need to be using at least version 1.26.110 of the Boto3 SDK, although the most recent version of the SDK is recommended.

import boto3 session = boto3.Session(profile_name='default') client = session.client('rekognition') def create_session(): response = client.create_face_liveness_session() session_id = response.get("SessionId") print('SessionId: ' + session_id) return session_id def get_session_results(session_id): response = client.get_face_liveness_session_results(SessionId=session_id) confidence = response.get("Confidence") status = response.get("Status") print('Confidence: ' + "{:.2f}".format(confidence) + "%") print('Status: ' + status) return status def main(): session_id = create_session() print('Created a Face Liveness Session with ID: ' + session_id) status = get_session_results(session_id) print('Status of Face Liveness Session: ' + status) if __name__ == "__main__": main()
Java

The following snippet shows how you can call these APIs in your Java applications:

package aws.example.rekognition.liveness; import com.amazonaws.services.rekognition.AmazonRekognition; import com.amazonaws.services.rekognition.AmazonRekognitionClientBuilder; import com.amazonaws.services.rekognition.model.AmazonRekognitionException; import com.amazonaws.services.rekognition.model.CreateFaceLivenessSessionRequest; import com.amazonaws.services.rekognition.model.CreateFaceLivenessSessionResult; import com.amazonaws.services.rekognition.model.GetFaceLivenessSessionResultsRequest; import com.amazonaws.services.rekognition.model.GetFaceLivenessSessionResultsResult; public class DemoLivenessApplication { static AmazonRekognition rekognitionClient; public static void main(String[] args) throws Exception { rekognitionClient = AmazonRekognitionClientBuilder.defaultClient(); try { String sessionId = createSession(); System.out.println("Created a Face Liveness Session with ID: " + sessionId); String status = getSessionResults(sessionId); System.out.println("Status of Face Liveness Session: " + status); } catch(AmazonRekognitionException e) { e.printStackTrace(); } } private static String createSession() throws Exception { CreateFaceLivenessSessionRequest request = new CreateFaceLivenessSessionRequest(); CreateFaceLivenessSessionResult result = rekognitionClient.createFaceLivenessSession(request); String sessionId = result.getSessionId(); System.out.println("SessionId: " + sessionId); return sessionId; } private static String getSessionResults(String sessionId) throws Exception { GetFaceLivenessSessionResultsRequest request = new GetFaceLivenessSessionResultsRequest().withSessionId(sessionId); GetFaceLivenessSessionResultsResult result = rekognitionClient.getFaceLivenessSessionResults(request); Float confidence = result.getConfidence(); String status = result.getStatus(); System.out.println("Confidence: " + confidence); System.out.println("status: " + status); return status; } }
Java V2

The following snippet demonstrates how to call the Face Liveness APIs with the AWS Java V2 SDK:

package aws.example.rekognition.liveness; import com.amazonaws.services.rekognition.AmazonRekognition; import com.amazonaws.services.rekognition.AmazonRekognitionClientBuilder; import com.amazonaws.services.rekognition.model.AmazonRekognitionException; import com.amazonaws.services.rekognition.model.CreateFaceLivenessSessionRequest; import com.amazonaws.services.rekognition.model.CreateFaceLivenessSessionResult; import com.amazonaws.services.rekognition.model.GetFaceLivenessSessionResultsRequest; import com.amazonaws.services.rekognition.model.GetFaceLivenessSessionResultsResult; public class DemoLivenessApplication { static AmazonRekognition rekognitionClient; public static void main(String[] args) throws Exception { rekognitionClient = AmazonRekognitionClientBuilder.defaultClient(); try { String sessionId = createSession(); System.out.println("Created a Face Liveness Session with ID: " + sessionId); String status = getSessionResults(sessionId); System.out.println("Status of Face Liveness Session: " + status); } catch(AmazonRekognitionException e) { e.printStackTrace(); } } private static String createSession() throws Exception { CreateFaceLivenessSessionRequest request = new CreateFaceLivenessSessionRequest(); CreateFaceLivenessSessionResult result = rekognitionClient.createFaceLivenessSession(request); String sessionId = result.getSessionId(); System.out.println("SessionId: " + sessionId); return sessionId; } private static String getSessionResults(String sessionId) throws Exception { GetFaceLivenessSessionResultsRequest request = new GetFaceLivenessSessionResultsRequest().withSessionId(sessionId); GetFaceLivenessSessionResultsResult result = rekognitionClient.getFaceLivenessSessionResults(request); Float confidence = result.getConfidence(); String status = result.getStatus(); System.out.println("Confidence: " + confidence); System.out.println("status: " + status); return status; } }
Node.Js

The following snippet demonstrates how to call the Face Liveness APIs with the AWS Node.Js SDK:

const Rekognition = require("aws-sdk/clients/rekognition"); const rekognitionClient = new Rekognition({ region: "us-east-1" }); async function createSession() { const response = await rekognitionClient.createFaceLivenessSession().promise(); const sessionId = response.SessionId; console.log("SessionId:", sessionId); return sessionId; } async function getSessionResults(sessionId) { const response = await rekognitionClient .getFaceLivenessSessionResults({ SessionId: sessionId, }) .promise(); const confidence = response.Confidence; const status = response.Status; console.log("Confidence:", confidence); console.log("Status:", status); return status; } async function main() { const sessionId = await createSession(); console.log("Created a Face Liveness Session with ID:", sessionId); const status = await getSessionResults(sessionId); console.log("Status of Face Liveness Session:", status); } main();
Node.Js (Javascript SDK v3)

The following snippet demonstrates how to call the Face Liveness APIs with the AWS Node.Js SDK for Javascript v3:

import { RekognitionClient, CreateFaceLivenessSessionCommand } from "@aws-sdk/client-rekognition"; // ES Modules import const { RekognitionClient, CreateFaceLivenessSessionCommand } = require("@aws-sdk/client-rekognition"); // CommonJS import const client = new RekognitionClient(config); const input = { KmsKeyId: "STRING_VALUE", Settings: { OutputConfig: { // LivenessOutputConfig S3Bucket: "STRING_VALUE", // required S3KeyPrefix: "STRING_VALUE", }, AuditImagesLimit: Number("int"), }, ClientRequestToken: "STRING_VALUE", }; const command = new CreateFaceLivenessSessionCommand(input); const response = await client.send(command); // { // CreateFaceLivenessSessionResponse // SessionId: "STRING_VALUE", // required // };

The following snippet shows how you can call these APIs in your Python applications. Note that to run this example you will need to be using at least version 1.26.110 of the Boto3 SDK, although the most recent version of the SDK is recommended.

import boto3 session = boto3.Session(profile_name='default') client = session.client('rekognition') def create_session(): response = client.create_face_liveness_session() session_id = response.get("SessionId") print('SessionId: ' + session_id) return session_id def get_session_results(session_id): response = client.get_face_liveness_session_results(SessionId=session_id) confidence = response.get("Confidence") status = response.get("Status") print('Confidence: ' + "{:.2f}".format(confidence) + "%") print('Status: ' + status) return status def main(): session_id = create_session() print('Created a Face Liveness Session with ID: ' + session_id) status = get_session_results(session_id) print('Status of Face Liveness Session: ' + status) if __name__ == "__main__": main()
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