Amazon Rekognition - vedratna/aws-learning GitHub Wiki

Amazon Rekognition can store information about detected faces in server-side containers known as collections. You can use the facial information that's stored in a collection to search for known faces in images, stored videos, and streaming videos. Amazon Rekognition supports the IndexFaces operation. You can use this operation to detect faces in an image and persist information about facial features that are detected into a collection. This is an example of a storage-based API operation because the service persists information on the server.
To store facial information, you must first create (CreateCollection) a face collection in one of the AWS Regions in your account. You specify this face collection when you call the IndexFaces operation. After you create a face collection and store facial feature information for all faces, you can search the collection for face matches. To search for faces in an image, call SearchFacesByImage. To search for faces in a stored video, call StartFaceSearch. To search for faces in a streaming video, call CreateStreamProcessor.