Creates an Amazon Rekognition stream processor that you can use to detect and recognize faces in a streaming video
Creates an Amazon Rekognition stream processor that you can use to detect and recognize faces in a streaming video.
Amazon Rekognition Video is a consumer of live video from Amazon Kinesis Video Streams. Amazon Rekognition Video sends analysis results to Amazon Kinesis Data Streams.
You provide as input a Kinesis video stream (Input) and a Kinesis data
stream (Output) stream. You also specify the face recognition criteria
in Settings. For example, the collection containing faces that you
want to recognize. Use Name to assign an identifier for the stream
processor. You use Name to manage the stream processor. For example,
you can start processing the source video by calling
start_stream_processor with the
Name field.
After you have finished analyzing a streaming video, use
stop_stream_processor to stop
processing. You can delete the stream processor by calling
delete_stream_processor.
rekognition_create_stream_processor(Input, Output, Name, Settings, RoleArn)
Input |
[required] Kinesis video stream stream that provides the source streaming video. If
you are using the AWS CLI, the parameter name is |
Output |
[required] Kinesis data stream stream to which Amazon Rekognition Video puts the
analysis results. If you are using the AWS CLI, the parameter name is
|
Name |
[required] An identifier you assign to the stream processor. You can use |
Settings |
[required] Face recognition input parameters to be used by the stream processor. Includes the collection to use for face recognition and the face attributes to detect. |
RoleArn |
[required] ARN of the IAM role that allows access to the stream processor. |
A list with the following syntax:
list( StreamProcessorArn = "string" )
svc$create_stream_processor(
Input = list(
KinesisVideoStream = list(
Arn = "string"
)
),
Output = list(
KinesisDataStream = list(
Arn = "string"
)
),
Name = "string",
Settings = list(
FaceSearch = list(
CollectionId = "string",
FaceMatchThreshold = 123.0
)
),
RoleArn = "string"
)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.