Amazon Rekognition

Some time we have requirement that user who can upload image should not have text (telephone number/ email id) and also user should not upload celebrities image.
So we can use AWS Rekognition Api for resolve this problem.

Rekognition having following features:

• Rekognition automatically labels objects, concepts and scenes in your images, and provides a confidence score.
• Rekognition automatically detects explicit or suggestive adult content, or violent content in your images, and provides confidence scores.
• Get a complete analysis of facial attributes, including confidence scores.
• Rekognition automatically recognizes celebrities in images and provides confidence scores.
• Compare faces to see how closely they match based on a similarity percentage.
• Rekognition automatically detects and extracts text in your images.

I will consecrate on Text in image and Celebrities in image.

I am Assuming you have AWS account and know how to create IAM user.

In my blog i have created user group and assign roles to group.

For Recognition you required following role to user.

Maven dependecy:

<!-- https://mvnrepository.com/artifact/com.amazonaws/aws-java-sdk-rekognition -->

<dependency>

<groupId>com.amazonaws</groupId>

<artifactId>aws-java-sdk-rekognition</artifactId>

<version>1.11.750</version>

</dependency>

Download Access key and secret key of IAM user. It will use when we will call API.

Java Code:

import java.io.File;

import java.io.FileInputStream;

import java.io.InputStream;

import java.nio.ByteBuffer;

import java.util.List;

import com.amazonaws.AmazonClientException;

import com.amazonaws.auth.AWSStaticCredentialsProvider;

import com.amazonaws.auth.BasicAWSCredentials;

import com.amazonaws.regions.Regions;

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.BoundingBox;

import com.amazonaws.services.rekognition.model.Celebrity;

import com.amazonaws.services.rekognition.model.DetectTextRequest;

import com.amazonaws.services.rekognition.model.DetectTextResult;

import com.amazonaws.services.rekognition.model.Image;

import com.amazonaws.services.rekognition.model.RecognizeCelebritiesRequest;

import com.amazonaws.services.rekognition.model.RecognizeCelebritiesResult;

import com.amazonaws.services.rekognition.model.TextDetection;

import com.amazonaws.util.IOUtils;

public class RecognizeWithLocalFile {

public static void main(String[] args) {

String photo = "C:\\Users\\hp\\Downloads\\Salman_Khan_filmfare.jpg";

ByteBuffer imageBytes=null;

try (InputStream inputStream = new FileInputStream(new File(photo))) {

imageBytes = ByteBuffer.wrap(IOUtils.toByteArray(inputStream));

}

catch(Exception e)

{

System.out.println("Failed to load file " + photo);

System.exit(1);

}

// this code you can create Bean for get AmazonRekognition client -- Start -- 

final BasicAWSCredentials  credentials;

 

try {

credentials = new BasicAWSCredentials("AKIAXKM5STPO", "A+M4UajF+sI");

     } catch (Exception e) {

         throw new AmazonClientException("Cannot load the credentials from "

          + "the credential profiles file. "

                 + "Please make sure that your credentials file is at the correct "

                 + "location (/Users/userid/.aws/credentials), and is in valid format.", e);

     }

AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.standard()

.withRegion(Regions.US_EAST_1)

.withCredentials(new AWSStaticCredentialsProvider(credentials)).build();

// --------------END -------------------------//

// Celebrities Request 

RecognizeCelebritiesRequest request = new RecognizeCelebritiesRequest()

.withImage(new Image()

.withBytes(imageBytes));

System.out.println("Looking for celebrities in image " + photo + "\n");

RecognizeCelebritiesResult result = rekognitionClient.recognizeCelebrities(request);

//Display recognized celebrity information

List<Celebrity> celebs=result.getCelebrityFaces();

System.out.println(celebs.size() + " celebrity(s) were recognized.\n");

for (Celebrity celebrity: celebs) {

System.out.println("Celebrity recognized: " + celebrity.getName());

System.out.println("Celebrity ID: " + celebrity.getId());

BoundingBox boundingBox=celebrity.getFace().getBoundingBox();

System.out.println("position: " +

boundingBox.getLeft().toString() + " " +

boundingBox.getTop().toString());

System.out.println("Further information (if available):");

for (String url: celebrity.getUrls()){

System.out.println(url);

}

System.out.println();

}

// Detect Text request

DetectTextRequest detectTextRequest = new DetectTextRequest()

.withImage(new Image()

.withBytes(imageBytes));

try {

//Display recognized Text information

DetectTextResult detectTextResult = rekognitionClient.detectText(detectTextRequest);

List<TextDetection> textDetections = detectTextResult.getTextDetections();

System.out.println("Detected lines and words for " + photo);

for (TextDetection text: textDetections) {

System.out.println("Detected: " + text.getDetectedText());

System.out.println("Confidence: " + text.getConfidence().toString());

System.out.println("Id : " + text.getId());

System.out.println("Parent Id: " + text.getParentId());

System.out.println("Type: " + text.getType());

System.out.println();

}

} catch(AmazonRekognitionException e) {

e.printStackTrace();

}

}

}

Update code which is yellow marked and run with main.

You will get text or celebrities recognition on image.

Happy Coding :)