The correct option is Spatial Analysis.

Spatial Analysis in Azure AI Vision is built to analyze live camera feeds and to detect people while providing spatial metadata such as bounding boxes, counts, positions and movement. It delivers real time scene level insights like occupancy and direction which make it suitable for monitoring people in a live stream.

Spatial Analysis focuses on contextual and positional data across frames and cameras rather than on extracting text or generating general image labels, so it is the right feature when the requirement is to detect whether people appear in a live camera stream.

Optical Character Recognition is incorrect because it is used to extract text from images and scanned documents and it does not provide people detection or spatial information for live camera streams.

Face Detection is incorrect in this context because it targets faces and facial landmarks and is provided by a different capability that emphasizes identifying faces rather than delivering broad spatial analytics and occupancy metrics across a live scene.

Image Analysis is incorrect because it generates labels, descriptions and general attributes for static images and it is not tailored for continuous people tracking or real time spatial metrics in a live camera feed.

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