AWSJava

1. Prerequisites

• AWS Account, AWS IAM Credentials (containting secret key id and secret key): see tutorial of AWS
• AWS SDK for Java (include aws libs and third party libs in the projects): download from AWS website
• S3 bucket: creating a S3 bucket and set its name
  Note: Remember regions of each amazon services
  Optional:
• Java Swing to initialize User Interface
• Java CV to use camera and implete some facial detection algorithms (such as Haar Cascade)

2. Projects in this reposity

• CheckInByCamera: authenticating users by picture captured by webcam
• CompareFaceDemoV2: capture image from webcam and compare with an image stored in S3 bucket
• CompareFacesDemo: compare faces between a source image and a set of target images
• DetectFaceDemo: detect faces in an image

3. Important note:

• To create Basic AWS Credentials

  BasicAWSCredentials credentials = new BasicAWSCredentials(accessKeyID, secretAccessKey);

• To use any services of amazon, you should create client

  AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.standard()
.withRegion(region)
.withCredentials(new AWSStaticCredentialsProvider(credentials))
.build();


• Pair request/result

  • Make request:
  DetectFacesRequest detectFacesRequest = new DetectFacesRequest() .withImage(new Image() .withS3Object(new S3Object() .withBucket(bucketName) .withName(key))) .withAttributes(Attribute.ALL);
  • Get result: DetectFacesResult result = rekognitionClient.detectFaces(detectFacesRequest);

4. AWS Rekognition These projects mainly use AWS Rekognition to analyze images and get results. Images can be tranfered to Rekognition by 2 ways:

• Use ByteBuffer:
• Use S3Object: Image image = new Image().withS3Object(new S3Object() .withBucket(bucketName) .withName(key)));