Rekognition Stream Processor

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Rekognition Stream Processor is an AWS resource that enables real-time video analysis by connecting a video stream from Kinesis Video Streams to Amazon Rekognition. It can detect and recognize faces, match them against a collection, and send results to Kinesis Data Streams or SNS for further processing. This allows applications to perform live monitoring, security checks, or user verification directly from streaming video.

aws.rekognition_stream_processor

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
creation_timestamp	core	timestamp	Date and time the stream processor was created
data_sharing_preference	core	json	Shows whether you are sharing data with Rekognition to improve model performance. You can choose this option at the account level or on a per-stream basis. Note that if you opt out at the account level this setting is ignored on individual streams.
input	core	json	Kinesis video stream that provides the source streaming video.
kms_key_id	core	string	The identifier for your AWS Key Management Service key (AWS KMS key). This is an optional parameter for label detection stream processors.
last_update_timestamp	core	timestamp	The time, in Unix format, the stream processor was last updated. For example, when the stream processor moves from a running state to a failed state, or when the user starts or stops the stream processor.
name	core	string	Name of the stream processor.
notification_channel	core	json	The Amazon Simple Notification Service topic to which Amazon Rekognition publishes the object detection results and completion status of a video analysis operation. Amazon Rekognition publishes a notification the first time an object of interest or a person is detected in the video stream. For example, if Amazon Rekognition detects a person at second 2, a pet at second 4, and a person again at second 5, Amazon Rekognition sends 2 object class detected notifications, one for a person at second 2 and one for a pet at second 4. Amazon Rekognition also publishes an an end-of-session notification with a summary when the stream processing session is complete.
output	core	json	Kinesis data stream to which Amazon Rekognition Video puts the analysis results.
regions_of_interest	core	json	Specifies locations in the frames where Amazon Rekognition checks for objects or people. This is an optional parameter for label detection stream processors.
role_arn	core	string	ARN of the IAM role that allows access to the stream processor.
settings	core	json	Input parameters used in a streaming video analyzed by a stream processor. You can use FaceSearch to recognize faces in a streaming video, or you can use ConnectedHome to detect labels.
status	core	string	Current status of the stream processor.
status_message	core	string	Detailed status message about the stream processor.
stream_processor_arn	core	string	ARN of the stream processor.
tags	core	hstore