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Greeting
Hi Thiagosz!
Great question! Let’s unpack this together to clarify the behavior of IndexFaces and how it works with UserId. I can see where the documentation might leave some ambiguity, so let’s ensure you have a clear understanding of what's happening.
Clarifying the Issue
From your description, it seems like you’re indexing multiple faces for the same person, associating them with a UserId, and expecting that the IndexFaces operation will consistently return that same UserId when you index another photo of the same person. However, in your experience, IndexFaces is not returning the UserId in the response as you expected.
This behavior is understandable because IndexFaces primarily detects and stores unique face identifiers (FaceId) in the face collection. While Rekognition allows you to associate a UserId with faces through AssociateFaces, IndexFaces does not automatically return the UserId unless explicitly queried through operations like SearchFacesByUser. Let's break this down further and see how to achieve your intended workflow.
Why This Matters
When Rekognition doesn’t return the UserId in the IndexFaces response as expected, workflows relying on automated identification may falter. For example, if you're building a system to identify returning users in a loyalty program, failing to retrieve the UserId could lead to mismatched or unidentified accounts, frustrating customers and complicating your system. Understanding how Rekognition handles UserId ensures accurate face-user mapping, enabling a smoother and more reliable implementation.
Key Terms
- IndexFaces: An operation that detects and stores metadata for faces in an image in a face collection. Returns
FaceIdand optionally other attributes. - UserId: A custom identifier associated with a user in Rekognition’s face collection, used with
AssociateFacesandSearchFacesByUser. - Face Collection: A repository in Rekognition where face metadata is stored, indexed by unique
FaceId. - SearchFacesByUser: An operation that retrieves face matches for a given
UserId, returning associated faces and their metadata.
The Solution (Our Recipe)
Steps at a Glance:
- Use
IndexFacesto detect and store face metadata in a face collection. - Use
AssociateFacesto associateFaceIdvalues with aUserId. - Use
SearchFacesByUserto retrieve a match for an indexed face and its associatedUserId.
Step-by-Step Guide:
- Index Faces in the Face Collection
When you first index a face using theIndexFacesoperation, Rekognition generates aFaceIdand adds it to the specified face collection. This operation doesn't automatically associate the face with aUserId.import boto3 rekognition = boto3.client('rekognition') response = rekognition.index_faces( CollectionId='MyFaceCollection', Image={'S3Object': {'Bucket': 'my-bucket', 'Name': 'my-image.jpg'}}, ExternalImageId='OptionalTag', DetectionAttributes=['ALL'] ) for face in response['FaceRecords']: print(f"Indexed FaceId: {face['Face']['FaceId']}")
-
Associate Indexed Faces with a UserId
Once faces are indexed, use theAssociateFacesoperation to link the indexedFaceIdvalues to aUserId.response = rekognition.associate_faces( CollectionId='MyFaceCollection', UserId='User123', FaceIds=['face-id-1', 'face-id-2'] ) print(f"Associated Faces: {response['AssociatedFaces']}") -
Retrieve Matches for Future Photos
When you index a new photo, useSearchFacesByUserto match the detected face to theUserIdassociated with it.response = rekognition.search_faces_by_user( CollectionId='MyFaceCollection', UserId='User123' ) for match in response['FaceMatches']: print(f"Matched FaceId: {match['Face']['FaceId']} with Similarity: {match['Similarity']}")Use Case Example:
In a loyalty program app for retailers, you might index faces of customers and associate them with aUserId. Without explicitly associating faces and querying withSearchFacesByUser, a returning customer might not be identified correctly, disrupting their experience. This method ensures seamless and accurate identification.
Closing Thoughts
The IndexFaces response includes the UserId field primarily for integrations where the indexed face is already associated with a UserId. However, this doesn’t happen automatically when new faces are indexed, as user associations must be manually managed. Instead, use SearchFacesByUser after association to retrieve the UserId when working with new photos.
For more information:
Farewell
I hope this clears up your questions, Thiagosz! Rekognition is a powerful tool, and understanding its mechanics ensures you're getting the most from it. If you have any follow-up questions or need further clarification, let me know—I’m happy to help! 😊
Cheers,
Aaron 😊
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