| Column Name | Column Data Type |
|---|
name Required Input Column
Name of the stream processor. | VARCHAR |
_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT(
"type" VARCHAR,
"name" VARCHAR,
"account_id" VARCHAR,
"via_profile_name" VARCHAR,
"assumed_role_arn" VARCHAR,
"organization" STRUCT(
"account_name" VARCHAR,
"id" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[],
"master_account" STRUCT(
"id" VARCHAR,
"email" VARCHAR
),
"parents" STRUCT(
"type" VARCHAR,
"id" VARCHAR,
"name" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[]
)[]
)
) |
Show child fields- _aws_profile.account_id
The AWS account id - _aws_profile.assumed_role_arn
The ARN of the assumed role - _aws_profile.name
The unique name of the profile. - _aws_profile.organization
Information about this profile's membership in the AWS organization. Show child fields- _aws_profile.organization.account_name
The name of account speciifed by the organization - _aws_profile.organization.id
The organization id - _aws_profile.organization.master_account
Show child fields- _aws_profile.organization.master_account.email
The organization master account email address - _aws_profile.organization.master_account.id
The organization master account id
- _aws_profile.organization.parents[]
Show child fields- _aws_profile.organization.parents[].id
The id of the parent - _aws_profile.organization.parents[].name
The name of the parent - _aws_profile.organization.parents[].tags[]
Show child fields- _aws_profile.organization.parents[].tags[].key
- _aws_profile.organization.parents[].tags[].value
- _aws_profile.organization.parents[].type
The type of parent can be an organization unit or a root
- _aws_profile.organization.tags[]
Show child fields- _aws_profile.organization.tags[].key
- _aws_profile.organization.tags[].value
- _aws_profile.type
The type of profile, either 'credentials' or 'assumed_role' - _aws_profile.via_profile_name
This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
|
_aws_region Input Column
The AWS region to use. | VARCHAR |
creation_timestamp
Date and time the stream processor was created | TIMESTAMP_S |
data_sharing_preference
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. | STRUCT(
"opt_in" BOOLEAN
) |
Show child fields- data_sharing_preference.opt_in
If this option is set to true, you choose to share data with Rekognition to improve model performance.
|
input
Kinesis video stream that provides the source streaming video. | STRUCT(
"kinesis_video_stream" STRUCT(
"arn" VARCHAR
)
) |
Show child fields- input.kinesis_video_stream
The Kinesis video stream input stream for the source streaming video. Show child fields- input.kinesis_video_stream.arn
ARN of the Kinesis video stream stream that streams the source video.
|
kms_key_id
The identifier for your AWS Key Management Service key (AWS KMS key). This is an optional parameter for label detection stream processors. | VARCHAR |
last_update_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. | TIMESTAMP_S |
notification_channel
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. | STRUCT(
"sns_topic_arn" VARCHAR
) |
Show child fields- notification_channel.sns_topic_arn
The Amazon Resource Number (ARN) of the Amazon Amazon Simple Notification Service topic to which Amazon Rekognition posts the completion status.
|
output
Kinesis data stream to which Amazon Rekognition Video puts the analysis results. | STRUCT(
"kinesis_data_stream" STRUCT(
"arn" VARCHAR
),
"s3_destination" STRUCT(
"bucket" VARCHAR,
"key_prefix" VARCHAR
)
) |
Show child fields- output.kinesis_data_stream
The Amazon Kinesis Data Streams stream to which the Amazon Rekognition stream processor streams the analysis results. Show child fields- output.kinesis_data_stream.arn
ARN of the output Amazon Kinesis Data Streams stream.
- output.s3_destination
The Amazon S3 bucket location to which Amazon Rekognition publishes the detailed inference results of a video analysis operation. Show child fields- output.s3_destination.bucket
The name of the Amazon S3 bucket you want to associate with the streaming video project. You must be the owner of the Amazon S3 bucket. - output.s3_destination.key_prefix
The prefix value of the location within the bucket that you want the information to be published to. For more information, see Using prefixes.
|
regions_of_interest
Specifies locations in the frames where Amazon Rekognition checks for objects or people. This is an optional parameter for label detection stream processors. | STRUCT(
"bounding_box" STRUCT(
"width" DOUBLE,
"height" DOUBLE,
"left" DOUBLE,
"top" DOUBLE
),
"polygon" STRUCT(
"x" DOUBLE,
"y" DOUBLE
)[]
)[] |
Show child fields- regions_of_interest[]
Show child fields- regions_of_interest[].bounding_box
The box representing a region of interest on screen. Show child fields- regions_of_interest[].bounding_box.height
Height of the bounding box as a ratio of the overall image height. - regions_of_interest[].bounding_box.left
Left coordinate of the bounding box as a ratio of overall image width. - regions_of_interest[].bounding_box.top
Top coordinate of the bounding box as a ratio of overall image height. - regions_of_interest[].bounding_box.width
Width of the bounding box as a ratio of the overall image width.
- regions_of_interest[].polygon[]
Show child fields- regions_of_interest[].polygon[].x
The value of the X coordinate for a point on a Polygon. - regions_of_interest[].polygon[].y
The value of the Y coordinate for a point on a Polygon.
|
role_arn
ARN of the IAM role that allows access to the stream processor. | VARCHAR |
settings
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. | STRUCT(
"face_search" STRUCT(
"collection_id" VARCHAR,
"face_match_threshold" DOUBLE
),
"connected_home" STRUCT(
"labels" VARCHAR[],
"min_confidence" DOUBLE
)
) |
Show child fields- settings.connected_home
Label detection settings to use on a streaming video. Defining the settings is required in the request parameter for CreateStreamProcessor. Including this setting in the CreateStreamProcessor request enables you to use the stream processor for label detection. You can then select what you want the stream processor to detect, such as people or pets. When the stream processor has started, one notification is sent for each object class specified. For example, if packages and pets are selected, one SNS notification is published the first time a package is detected and one SNS notification is published the first time a pet is detected, as well as an end-of-session summary. Show child fields- settings.connected_home.labels[]
- settings.connected_home.min_confidence
The minimum confidence required to label an object in the video.
- settings.face_search
Face search settings to use on a streaming video. Show child fields- settings.face_search.collection_id
The ID of a collection that contains faces that you want to search for. - settings.face_search.face_match_threshold
Minimum face match confidence score that must be met to return a result for a recognized face. The default is 80. 0 is the lowest confidence. 100 is the highest confidence. Values between 0 and 100 are accepted, and values lower than 80 are set to 80.
|
status
Current status of the stream processor. | VARCHAR |
status_message
Detailed status message about the stream processor. | VARCHAR |
stream_processor_arn
ARN of the stream processor. | VARCHAR |