A warehouse runs Meraki MV cameras and wants a Python service that alerts the moment more than five people cross the north aisle entrance, plus a monthly report of people counts from the last 30 days, with all video staying on the cameras. Which combination of Meraki camera analytics should the team use?
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Short Explanation
MV Sense is a push channel: the camera detects people and streams detection events, so your service can evaluate the threshold without waiting for a poll. Use the camera analytics API for the historical counts, rather than collecting those counts yourself. This approach uses event and analytics data, not streamed video.
Full Explanation
MV cameras perform object detection on the device, and MV Sense provides a stream of detection data that a service can use to evaluate a threshold. For the monthly report, query the camera analytics API for the available historical data in the requested time range. This separates the real-time alert from the historical report without streaming video to your server. Streaming live video to your own server would violate the requirement that video stay on the cameras. Polling once a minute would not provide an alert the moment the threshold is crossed. The dashboard motion event log records motion events, not the historical people-count analytics needed for the report. Check the current MV Sense and camera analytics API documentation for supported data and time ranges.