Amazon Rekognition Enroll and Search a Face

arazzo: 1.0.1
info:
  title: Amazon Rekognition Enroll and Search a Face
  summary: Create a face collection, index a face into it, then search the collection by a query image.
  description: >-
    Builds the canonical face-recognition pipeline on Amazon Rekognition. The
    workflow creates a new face collection, indexes the faces found in an
    enrollment image into that collection with an external image id, and then
    searches the same collection using a separate query image to find matching
    faces. Each step spells out its AWS JSON 1.1 request inline — including the
    protocol-required X-Amz-Target header — so the flow can be read and executed
    without opening the underlying OpenAPI description.
  version: 1.0.0
sourceDescriptions:
- name: faceCollectionsApi
  url: ../openapi/amazon-rekognition-face-collections-api-openapi.yml
  type: openapi
- name: faceSearchApi
  url: ../openapi/amazon-rekognition-face-search-api-openapi.yml
  type: openapi
workflows:
- workflowId: enroll-and-search-face
  summary: Create a collection, index an enrollment image, and search by a query image.
  description: >-
    Provisions a face collection, enrolls the faces from an enrollment image
    into it, and then runs a search-by-image against the collection to find
    matching faces above a confidence threshold.
  inputs:
    type: object
    required:
    - collectionId
    - enrollBucket
    - enrollName
    - externalImageId
    - queryBucket
    - queryName
    properties:
      collectionId:
        type: string
        description: ID for the face collection to create and use.
      enrollBucket:
        type: string
        description: S3 bucket holding the enrollment image.
      enrollName:
        type: string
        description: S3 object key of the enrollment image to index.
      externalImageId:
        type: string
        description: External identifier to assign to faces detected in the enrollment image.
      queryBucket:
        type: string
        description: S3 bucket holding the query image to search with.
      queryName:
        type: string
        description: S3 object key of the query image.
      faceMatchThreshold:
        type: number
        description: Minimum confidence for a search match to be returned.
        default: 80.0
  steps:
  - stepId: createCollection
    description: Create the face collection that will store indexed face vectors.
    operationId: createCollection
    parameters:
    - name: X-Amz-Target
      in: header
      value: RekognitionService.CreateCollection
    requestBody:
      contentType: application/x-amz-json-1.1
      payload:
        CollectionId: $inputs.collectionId
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      collectionArn: $response.body#/CollectionArn
      faceModelVersion: $response.body#/FaceModelVersion
  - stepId: indexFaces
    description: Detect faces in the enrollment image and add them to the collection.
    operationId: indexFaces
    parameters:
    - name: X-Amz-Target
      in: header
      value: RekognitionService.IndexFaces
    requestBody:
      contentType: application/x-amz-json-1.1
      payload:
        CollectionId: $inputs.collectionId
        Image:
          S3Object:
            Bucket: $inputs.enrollBucket
            Name: $inputs.enrollName
        ExternalImageId: $inputs.externalImageId
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      faceRecords: $response.body#/FaceRecords
      faceModelVersion: $response.body#/FaceModelVersion
      unindexedFaces: $response.body#/UnindexedFaces
  - stepId: searchByImage
    description: Search the collection for faces matching the supplied query image.
    operationId: searchFacesByImage
    parameters:
    - name: X-Amz-Target
      in: header
      value: RekognitionService.SearchFacesByImage
    requestBody:
      contentType: application/x-amz-json-1.1
      payload:
        CollectionId: $inputs.collectionId
        Image:
          S3Object:
            Bucket: $inputs.queryBucket
            Name: $inputs.queryName
        MaxFaces: 5
        FaceMatchThreshold: $inputs.faceMatchThreshold
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      faceMatches: $response.body#/FaceMatches
      searchedFaceConfidence: $response.body#/SearchedFaceConfidence
  outputs:
    collectionArn: $steps.createCollection.outputs.collectionArn
    indexedFaceRecords: $steps.indexFaces.outputs.faceRecords
    faceMatches: $steps.searchByImage.outputs.faceMatches