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articles/azure-video-analyzer/video-analyzer-docs/edge/use-intel-grpc-video-analytics-serving-tutorial.md

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@@ -52,7 +52,7 @@ The OpenVINO™ DL Streamer - Edge AI Extension module is a microservice based o
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In order to build complex, high-performance video analytics solutions, the Azure Video Analyzer module should be paired with a powerful inference engine that can leverage the scale at the edge. In this tutorial, inference requests are sent to the Intel OpenVINO™ DL Streamer – Edge AI Extension, an Edge module that has been designed to work with Azure Video Analyzer.
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In the initial release of this inference server, you have access to the following [models](https://github.com/intel/video-analytics-serving/tree/master/samples/ava_ai_extension#edge-ai-extension-module-options):
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In the initial release of this inference server, you have access to the following models:
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- object_detection for person_vehicle_bike_detection
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![object detection for vehicle](./media/use-intel-openvino-tutorial/object-detection.png)

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