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EventDetection - Amazon IoT SiteWise
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EventDetection

Configuration for event detection enrichment on video time-series data.

Event detection generates embeddings from video data enabling natural language similarity search on events. This allows customers to:

  • Query video events using semantic search after enrichment completes

  • Find relevant video segments through natural language queries

  • Search across video time-series data stored in IoT SiteWise

You must specify the dataset, exactly one time-series identifier (timeSeriesId OR propertyAlias), and trim settings defining the video time window to process.

Contents

datasetId

The IoT SiteWise dataset ID containing the video time-series data to analyze. Query IoT SiteWise to discover available datasets in your workspace.

Type: String

Length Constraints: Fixed length of 36.

Pattern: ^(?!00000000-0000-0000-0000-000000000000)[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$

Required: Yes

trimSettings

Time range settings defining which portion of the video time-series data to process. Required to ensure predictable processing time and prevent analyzing unbounded datasets. Start and end times must be within the dataset's time bounds.

Type: EnrichmentTrimSettings object

Required: Yes

propertyAlias

Human-readable alias for the video time series to analyze (e.g., /camera/warehouse/zone-a). Specify either propertyAlias or timeSeriesId, but not both. Use this when you have configured friendly aliases in IoT SiteWise for better readability.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 2048.

Pattern: [^\u0000-\u001F\u007F]+

Required: No

timeSeriesId

Unique system identifier for the video time series to analyze. Specify either timeSeriesId or propertyAlias, but not both. Use this when you have the system-generated time series identifier from IoT SiteWise.

Type: String

Length Constraints: Minimum length of 36. Maximum length of 73.

Required: No

See Also

For more information about using this API in one of the language-specific Amazon SDKs, see the following: