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articles/azure-video-analyzer/video-analyzer-docs/cloud/faq.yml

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| System.PipelineName | Represents the name of the live pipeline. |
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> [!Note]
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> System.Runtime.DateTime and System.Runtime.PreciseDateTime cannot be used as part of the name of an Azure Video Analyzer video resource, in a video sink node. These variables can be used in a [FileSink](../pipeline.md#file-sink), for naming the file.
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> System.Runtime.DateTime and System.Runtime.PreciseDateTime cannot be used as part of the name of an Azure Video Analyzer video resource, in a video sink node. These variables can be used in a [FileSink](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/pipeline#file-sink), for naming the file.
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**What is the difference between live pipeline and batch pipeline jobs of Video Analyzer service?**
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Live topologies, as the name suggests, are used for the ingestion of live video from cameras to cloud. Batch topologies are used to process or export the recorded videos from Video Analyzer service. For more information, see [pipeline](../pipeline.md#pipeline-topologies) and rules on the [use of nodes in pipelines](../pipeline.md#rules-on-the-use-of-nodes)
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Live topologies, as the name suggests, are used for the ingestion of live video from cameras to cloud. Batch topologies are used to process or export the recorded videos from Video Analyzer service. For more information, see [pipeline](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/pipeline#pipeline-topologies) and rules on the [use of nodes in pipelines](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/pipeline#rules-on-the-use-of-nodes)
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**What is the privacy policy for Video Analyzer?**
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Video Analyzer is covered by the [Microsoft Privacy Statement](https://privacy.microsoft.com/privacystatement). The privacy statement explains the personal data Microsoft processes, how Microsoft processes it, and for what purposes Microsoft processes it. To learn more about privacy, visit the [Microsoft Trust Center](https://www.microsoft.com/trust-center?rtc=1).
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**Do we have AI models or AI inferencing capability for Video Analyzer service?**
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It is not currently available for Video Analyzer cloud pipelines. However, the Video Analyzer edge module can be used with other Azure IoT Edge modules such as Stream Analytics, Cognitive Services, and other Azure cloud services such as Event Hub and Cognitive Services to build powerful hybrid (that is, edge + cloud) applications. This extensible edge module seamlessly integrates with various AI edge modules such as Azure Cognitive Services containers or custom edge modules built using open-source machine learning models and your training data. For e.g see [Quickstart: Analyze a live video feed from a (simulated) IP camera using your own gRPC model](../edge/analyze-live-video-use-your-model-grpc.md)
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It is not currently available for Video Analyzer cloud pipelines. However, the Video Analyzer edge module can be used with other Azure IoT Edge modules such as Stream Analytics, Cognitive Services, and other Azure cloud services such as Event Hub and Cognitive Services to build powerful hybrid (that is, edge + cloud) applications. This extensible edge module seamlessly integrates with various AI edge modules such as Azure Cognitive Services containers or custom edge modules built using open-source machine learning models and your training data. For e.g see [Quickstart: Analyze a live video feed from a (simulated) IP camera using your own gRPC model](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/analyze-live-video-use-your-model-grpc)
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- question: Configuration and deployment
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answer: |
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**How do I create an Azure Video Analyzer account?**
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You can either create the account by using an Azure Resource Manager (ARM) template or by Azure portal. To create the Azure Video Analyzer account see [here](../create-video-analyzer-account.md)
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You can either create the account by using an Azure Resource Manager (ARM) template or by Azure portal. To create the Azure Video Analyzer account see [here](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/create-video-analyzer-account)
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**How do I simulate RTSP stream if I don’t have RTSP camera?**
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You can simulate RTSP stream by deploying RTSP camera simulator using a Azure Linux VM. For more details, please see [RTSP camera simulator](./get-started-livepipelines-portal.md#deploy-rtsp-camera-simulator)
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You can simulate RTSP stream by deploying RTSP camera simulator using a Azure Linux VM. For more details, please see [RTSP camera simulator](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/cloud/get-started-livepipelines-portal#deploy-rtsp-camera-simulator)
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**How can I add more sample video files to RTSP camera simulator?**
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To add a new video file to your existing RTSP camera simulator media folder, see [here](./get-started-livepipelines-portal.md#deploy-rtsp-camera-simulator).
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To add a new video file to your existing RTSP camera simulator media folder, see [here](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/cloud/get-started-livepipelines-portal#deploy-rtsp-camera-simulator).
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Sample media files available for testing can be found at [Media datasets](https://github.com/Azure/video-analyzer/tree/main/media).
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**Is an RTSP simulator available to use during testing and development for Live pipelines?**
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Yes, you can use [RTSP camera simulator](./get-started-livepipelines-portal.md#deploy-rtsp-camera-simulator) for quickstarts and tutorials to support the learning process. We recommend strongly that you solely not rely on simulator for your projects. You should invest in testing with your actual RTSP source before you plan a production deployment.
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Yes, you can use [RTSP camera simulator](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/cloud/get-started-livepipelines-portal#deploy-rtsp-camera-simulator) for quickstarts and tutorials to support the learning process. We recommend strongly that you solely not rely on simulator for your projects. You should invest in testing with your actual RTSP source before you plan a production deployment.
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- question: Capture from IP camera and RTSP settings
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answer: |
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**Are there any tools to make it easier to monitor the Video Analyzer service?**
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You can monitor service generated events & metrics by setting up diagnostics settings and archive logs to a storage account. You can access monitoring section by navigating to Video Analyzer account in Azure portal. For more information, see [here](./monitor-log-cloud.md).
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You can monitor service generated events & metrics by setting up diagnostics settings and archive logs to a storage account. You can access monitoring section by navigating to Video Analyzer account in Azure portal. For more information, see [here](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/cloud/monitor-log-cloud).
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**Can I monitor the pipeline on the cloud by using Azure Event Grid?**
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**Can I use Azure Monitor to view the health, metrics, and performance of my pipelines in the cloud?**
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Yes, we support this approach. To learn more, see [Azure Monitor Metrics overview](../../../azure-monitor/essentials/data-platform-metrics.md)
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and [Monitor and log](./monitor-log-cloud.md) article.
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and [Monitor and log](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/cloud/monitor-log-cloud) article.
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- question: Billing and availability
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## Next steps
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[Quickstart: Get started with Azure Video Analyzer service](./get-started-livepipelines-portal.md)
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[Quickstart: Get started with Azure Video Analyzer service](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/cloud/get-started-livepipelines-portal)

articles/azure-video-analyzer/video-analyzer-docs/edge/faq.yml

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If you have used a quickstart or tutorial to install the camera simulator, then to add a new video file:
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- Check that the file is in a [supported format](http://www.live555.com/mediaServer/) and uses the H.264 video codec
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- Download the file to `/home/localedgeuser/samples/input/<videofile.mkv>` on your IoT Edge device, as shown [in this section](analyze-ai-composition.md#review-the-video-sample)
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- Download the file to `/home/localedgeuser/samples/input/<videofile.mkv>` on your IoT Edge device, as shown [in this section](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/analyze-ai-composition#review-the-video-sample)
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Sample media files available for testing can be found at [Media datasets](https://github.com/Azure/video-analyzer/tree/main/media).
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First, be sure that your server can either handle more than one request at a time or work in parallel threads.
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For example, a default number of parallel channels has been set in the following [Azure Video Analyzer gRPC sample](analyze-live-video-use-your-model-grpc.md):
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For example, a default number of parallel channels has been set in the following [Azure Video Analyzer gRPC sample](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/analyze-live-video-use-your-model-grpc):
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```
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server = grpc.server(futures.ThreadPoolExecutor(max_workers=3))
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**How do I view the bounding boxes generated by my inference server?**
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You can record the inference results along with the media in your video resource. You can use a [widget](../player-widget.md) to play back the video with an overlay of the inference data.
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You can record the inference results along with the media in your video resource. You can use a [widget](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/player-widget) to play back the video with an overlay of the inference data.
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- question: gRPC compatibility
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**Can I monitor the pipeline on the edge by using Azure Event Grid?**
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Yes. You can consume [Prometheus metrics](monitor-log-edge.md#azure-monitor-collection-via-telegraf) and publish them to your event grid.
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Yes. You can consume [Prometheus metrics](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/monitor-log-edge#azure-monitor-collection-via-telegraf) and publish them to your event grid.
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**Can I use Azure Monitor to view the health, metrics, and performance of my pipelines in the cloud or on the edge?**
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In addition, you can use this extension to edit the module twin for the Video Analyzer edge module to modify the pipeline settings.
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For more information, see the [monitoring and logging](monitor-log-edge.md) article.
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For more information, see the [monitoring and logging](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/monitor-log-edge) article.
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## Next steps
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[Quickstart: Get started with Azure Video Analyzer](get-started-detect-motion-emit-events.md)
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[Quickstart: Get started with Azure Video Analyzer](/previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/get-started-detect-motion-emit-events)

articles/azure-video-analyzer/video-analyzer-docs/index.yml

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- text: About Azure Video Analyzer (preview)
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url: overview.md
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- text: Terminology
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url: terminology.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/terminology
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- linkListType: quickstart
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- text: Get started using the portal
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url: get-started-detect-motion-emit-events-portal.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/get-started-detect-motion-emit-events-portal
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- text: Get started using an ARM template
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url: get-started-detect-motion-emit-events.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/get-started-detect-motion-emit-events
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- linkListType: concept
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- text: Analyze live video
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url: analyze-live-video-without-recording.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/analyze-live-video-without-recording
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- title: Create and deploy pipelines and topologies
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- linkListType: concept
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links:
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- text: Video pipelines
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url: pipeline.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/pipeline
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- text: List of topologies
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url: pipeline-topologies-list.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/pipeline-topologies-list
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- linkListType: tutorial
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- text: Detect object crossing virtual line
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url: edge/use-line-crossing.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/use-line-crossing
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- text: Detect object using Open VINO DL Streamer
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url: edge/use-intel-openvino-tutorial.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/use-intel-openvino-tutorial
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- title: Create intelligent video applications on the edge
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- linkListType: concept
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- text: Event-based video recording
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url: event-based-video-recording-concept.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/event-based-video-recording-concept
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- linkListType: quickstart
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- text: Analyze live video with your own model - HTTP
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url: edge/analyze-live-video-use-your-model-http.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/analyze-live-video-use-your-model-http
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- text: Detect motion and record video on edge devices
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url: edge/detect-motion-record-video-edge-devices.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/detect-motion-record-video-edge-devices
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- linkListType: tutorial
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- text: Event-based video recording and playback
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url: edge/record-event-based-live-video.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/record-event-based-live-video
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- title: Create video applications in the service
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- linkListType: concept
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- text: Enable camera video recording to cloud
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url: cloud/connect-cameras-to-cloud.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/cloud/connect-cameras-to-cloud
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- linkListType: quickstart
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- text: Build pipeline in the service
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url: cloud/get-started-livepipelines-portal.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/cloud/get-started-livepipelines-portal
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- linkListType: tutorial
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- text: Export a video clip with portal
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url: cloud/export-portion-of-video-as-mp4.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/cloud/export-portion-of-video-as-mp4
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- title: Engage with community
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- linkListType: how-to-guide
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- text: Monitor and logging of an edge video pipeline
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url: edge/monitor-log-edge.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/monitor-log-edge
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- text: Monitor and logging of a video pipeline in the service
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url: cloud/monitor-log-cloud.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/cloud/monitor-log-cloud
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- text: Troubleshoot an edge video pipeline
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url: edge/troubleshoot.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/troubleshoot
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- text: Troubleshoot a video pipeline in the service
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url: cloud/troubleshoot.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/cloud/troubleshoot
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- title: Discover APIs
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- text: REST API
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url: /rest/api/videoanalyzer/
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- text: SDKs
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url: sdk.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/sdk
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- text: Direct Methods VS Code
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url: edge/direct-methods.md #should we move it to the AVA root?
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/edge/direct-methods #should we move it to the AVA root?
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- title: Resources
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- linkListType: learn
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links:
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- text: Release notes
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url: release-notes.md
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url: /previous-versions/azure/azure-video-analyzer/video-analyzer-docs/articles/azure-video-analyzer/video-analyzer-docs/release-notes
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- text: Pricing
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url: /azure/azure-video-analyzer/video-analyzer-docs/
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- text: Edge module FAQ

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