Amazon Rekognition Quality Gated Enrollment
Version 1.0.0
Detect a face and check its quality, then index it into a collection only when a face is present.
1 workflow
2 source APIs
1 provider
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Celebrity RecognitionComputer-VisionContent ModerationCustom LabelsDeep LearningFace LivenessFacial RecognitionImage AnalysisMachine-LearningObject DetectionText DetectionVideo AnalysisArazzoWorkflows
quality-gated-enrollment
Detect and quality-check a face, then index it into a collection.
Confirms a usable face exists in the enrollment image before indexing it into the target collection, gating enrollment on face presence.
2 steps
inputs: bucket, collectionId, externalImageId, name
outputs: faceDetails, faceRecords, unindexedFaces
1
detectFaces
Detect faces and full quality attributes in the enrollment image.
2
indexFaces
Index the validated face into the target collection with a quality filter.
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