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Answer: Use Azure Media Services to process the live video streams and send them to Azure AI Video Indexer for analysis.
To analyze live video streams from multiple cameras and generate insights in real-time, you should use Azure Media Services to process the streams and send them to Azure AI Video Indexer for analysis. This approach allows you to leverage the capabilities of both services to process and analyze the live video streams efficiently. Directly sending the streams to Azure AI Video Indexer may result in performance issues, while recording and storing the streams before analysis may introduce latency. Using Azure AI Vision API alone may not provide the full range of insights required.
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You are tasked with integrating Azure AI Video Indexer into an existing application that streams live videos from multiple cameras. The application needs to analyze the videos in real-time and generate insights such as speaker identification, sentiment analysis, and brand detection. Which of the following steps should you take to achieve this?
A
Use Azure Media Services to process the live video streams and send them to Azure AI Video Indexer for analysis.
B
Directly send the live video streams from the cameras to Azure AI Video Indexer for real-time analysis.
C
Record the live video streams and store them in Azure Blob Storage before sending them to Azure AI Video Indexer for analysis.
D
Use Azure AI Vision API to analyze the live video streams and extract the required insights.