add sa deprecation notice

PatrickFarley · PatrickFarley · commit ce00fab6d07a · 2024-10-15T22:54:37.000-04:00
diff --git a/articles/ai-services/computer-vision/includes/spatial-analysis-deprecation.md b/articles/ai-services/computer-vision/includes/spatial-analysis-deprecation.md
@@ -0,0 +1,25 @@
+---
+title: Spatial Analysis deprecation notice
+titleSuffix: Azure AI services
+#services: cognitive-services
+author: PatrickFarley
+manager: nitinme
+ms.service: azure-ai-vision
+ms.topic: include
+ms.date: 09/10/2024
+ms.author: pafarley
+---
+
+> [!IMPORTANT]
+> On 30 March 2025, Azure AI Vision Spatial Analysis will be retired. Please transition to [Azure AI Video Indexer](https://azurearcjumpstart.com/azure_arc_jumpstart/azure_edge_iot_ops/aks_edge_essentials_single_vi) or another open-source solution before the specified date. We encourage you to make the switch sooner to gain the richer benefits of Azure AI Video Indexer. In addition to the familiar features you are using, here's a quick comparison between Azure AI Vision Spatial Analysis and Azure AI Video Indexer.
+>
+>|Feature |	Azure AI Vision Spatial Analysis |	Azure AI Video Indexer |
+>|---|---|---|
+>|Edge support |	Yes 	|Yes |
+>|Object Detection |	People & Vehicle detection only |	Detects 1000+ objects |
+>|Audio/Speech Processing |	Not supported |	Supported (includes speech transcription, translation and summarization)<br>Supported >(includes speech transcription and sentiment analysis) |
+>|Event Detection & Tracking |	Supported (tracking people & vehicles, event detection) |	Not supported at the Edge yet. Is partially supported at the Cloud. |
+>|Azure Arc Support|	Not supported |	Native support |
+>|Focus Area 	|Visual analysis with specialized tracking |	Comprehensive analysis of both audio and visual content |
+> 
+> From now until 30 March 2025, you can continue to use Azure AI Vision Spatial Analysis or transition to [Azure AI Video Indexer](https://azurearcjumpstart.com/azure_arc_jumpstart/azure_edge_iot_ops/aks_edge_essentials_single_vi) before the specified date. After 30 March 2025, the Spatial Analysis container will no longer be supported and will stop processing new streams.
diff --git a/articles/ai-services/computer-vision/intro-to-spatial-analysis-public-preview.md b/articles/ai-services/computer-vision/intro-to-spatial-analysis-public-preview.md
@@ -18,6 +18,8 @@ Video Analysis includes video-related features like Spatial Analysis and Video R
 
 ## Spatial Analysis
 
+[!INCLUDE [spatial-analysis-deprecation](includes/spatial-analysis-deprecation.md)]
+
 You can use Azure AI Vision Spatial Analysis to detect the presence and movements of people in video. Ingest video streams from cameras, extract insights, and generate events to be used by other systems. The service can do things like count the number of people entering a space or measure compliance with face mask and social distancing guidelines. By processing video streams from physical spaces, you're able to learn how people use them and maximize the space's value to your organization.
 
 Try out the capabilities of Spatial Analysis quickly and easily in your browser using Vision Studio.
diff --git a/articles/ai-services/computer-vision/spatial-analysis-camera-placement.md b/articles/ai-services/computer-vision/spatial-analysis-camera-placement.md
@@ -14,6 +14,8 @@ ms.author: pafarley
 
 # Spatial Analysis camera placement
 
+[!INCLUDE [spatial-analysis-deprecation](includes/spatial-analysis-deprecation.md)]
+
 This article provides camera placement recommendations for Spatial Analysis (public preview) scenarios. It includes general guidelines as well as specific recommendations for height, angle, and camera-to-focal-point-distance for all the included operations. 
 
 > [!NOTE]
diff --git a/articles/ai-services/computer-vision/spatial-analysis-container.md b/articles/ai-services/computer-vision/spatial-analysis-container.md
@@ -14,6 +14,8 @@ ms.custom: devx-track-azurecli
 
 # Install and run the Spatial Analysis container (preview)
 
+[!INCLUDE [spatial-analysis-deprecation](includes/spatial-analysis-deprecation.md)]
+
 The Spatial Analysis container enables you to analyze real-time streaming video to understand spatial relationships between people, their movement, and interactions with objects in physical environments. Containers help you meet specific security and data governance requirements.
 
 ## Prerequisites
diff --git a/articles/ai-services/computer-vision/spatial-analysis-local.md b/articles/ai-services/computer-vision/spatial-analysis-local.md
@@ -13,6 +13,8 @@ ms.author: pafarley
 
 # Run Spatial Analysis on a local video file
 
+[!INCLUDE [spatial-analysis-deprecation](includes/spatial-analysis-deprecation.md)]
+
 You can use Spatial Analysis with either recorded or live video. Use this guide to learn how to run Spatial Analysis on a recorded local video.
 
 ## Prerequisites
diff --git a/articles/ai-services/computer-vision/spatial-analysis-logging.md b/articles/ai-services/computer-vision/spatial-analysis-logging.md
@@ -14,6 +14,8 @@ ms.custom: cogserv-non-critical-vision
 
 # Telemetry and troubleshooting
 
+[!INCLUDE [spatial-analysis-deprecation](includes/spatial-analysis-deprecation.md)]
+
 Spatial Analysis includes a set of features to monitor the health of the system and help with diagnosing issues.
 
 ## Enable visualizations
diff --git a/articles/ai-services/computer-vision/spatial-analysis-operations.md b/articles/ai-services/computer-vision/spatial-analysis-operations.md
@@ -13,6 +13,8 @@ ms.author: pafarley
 
 # Spatial Analysis operations
 
+[!INCLUDE [spatial-analysis-deprecation](includes/spatial-analysis-deprecation.md)]
+
 Spatial Analysis lets you analyze video streams from camera devices in real time. For each camera device you configure, the Spatial Analysis operations will generate an output stream of JSON messages sent to your instance of Azure IoT Hub.
 
 The Spatial Analysis container implements the following operations. You can configure these operations in the deployment manifest of your container.
diff --git a/articles/ai-services/computer-vision/spatial-analysis-web-app.md b/articles/ai-services/computer-vision/spatial-analysis-web-app.md
@@ -13,6 +13,8 @@ ms.author: pafarley
 
 # Deploy a Spatial Analysis web application
 
+[!INCLUDE [spatial-analysis-deprecation](includes/spatial-analysis-deprecation.md)]
+
 Use this article to learn how to deploy a web app that collects Spatial Analysis data/insights from IoT Hub and visualizes it. This can have useful applications across a wide range of scenarios and industries. For example, if a company wants to optimize the use of its real estate space, they can quickly create a solution with different scenarios.
 
 In this tutorial you'll learn how to:
diff --git a/articles/ai-services/computer-vision/spatial-analysis-zone-line-placement.md b/articles/ai-services/computer-vision/spatial-analysis-zone-line-placement.md
@@ -11,9 +11,10 @@ ms.date: 01/20/2024
 ms.author: pafarley
 ---
 
-
 # Zone and line placement guide
 
+[!INCLUDE [spatial-analysis-deprecation](includes/spatial-analysis-deprecation.md)]
+
 This article provides guidelines for how to define zones and lines for Spatial Analysis operations to achieve accurate analysis of peoples movements in a space. This applies to all operations. 
 
 Zones and lines are defined using the JSON `SPACEANALYSIS_CONFIG` parameter. See the [Spatial Analysis operations](spatial-analysis-operations.md) article for more information.
diff --git a/articles/ai-services/computer-vision/use-case-dwell-time.md b/articles/ai-services/computer-vision/use-case-dwell-time.md
@@ -14,6 +14,8 @@ ms.author: pafarley
 
 # Monitor dwell time in front of displays with Spatial Analysis 
 
+[!INCLUDE [spatial-analysis-deprecation](includes/spatial-analysis-deprecation.md)]
+
 Spatial Analysis can provide real-time information about how long customers spend in front of a display in a retail store. The service monitors the length of time customers spend in a zone you specify. You can use this information to track customer engagement with promotions/displays within a store or understand customers' preference toward specific products. 
 
 :::image type="content" source="media/use-cases/dwell-time.jpg" alt-text="Photo of a person in a warehouse with stacks of boxes.":::
diff --git a/articles/ai-services/computer-vision/use-case-queue-time.md b/articles/ai-services/computer-vision/use-case-queue-time.md
@@ -14,6 +14,8 @@ ms.author: pafarley
 
 # Measure queue wait time with Spatial Analysis 
 
+[!INCLUDE [spatial-analysis-deprecation](includes/spatial-analysis-deprecation.md)]
+
 Spatial Analysis can generate real-time information about how long users are waiting in a queue in a retail store. The service monitors the length of time customers spend standing inside a checkout zone you specify. A store manager can use this information to manage open checkout stations and employee shifts.
 
 :::image type="content" source="media/use-cases/queue-wait-time.png" alt-text="Photo of people in line at a store.":::
diff --git a/articles/ai-services/computer-vision/vehicle-analysis.md b/articles/ai-services/computer-vision/vehicle-analysis.md
@@ -13,6 +13,8 @@ ms.author: pafarley
 
 # Install and run vehicle analysis (preview)
 
+[!INCLUDE [spatial-analysis-deprecation](includes/spatial-analysis-deprecation.md)]
+
 Vehicle analysis is a set of capabilities that, when used with the Spatial Analysis container, enable you to analyze real-time streaming video to understand vehicle characteristics and placement. In this article, you learn how to use the capabilities of the Spatial Analysis container to deploy vehicle analysis operations.
 
 ## Prerequisites
