Sample Edge Camera RTSP review

This sample shows the shape of the paid deliverable. A real review is tailored from the buyer's camera model, stream URL shape, deployment target, logs, and failure pattern.

Example finding

• Pipeline state: RTSP capture, object detection, and RTMP output are coupled tightly enough that a detector slowdown can back up frame ingest and trigger reconnect churn.
• Main risk: debugging codec, network, GPU, and queue behavior in one process makes it hard to tell whether drops come from the camera, decoder, detector, or restreamer.
• Integration decision: split capture, inference, and output into observable stages before tuning detector resolution or container deployment.

Example next experiments

1. Capture RTSP health, reconnect counts, decode FPS, inference FPS, queue depth, and RTMP publish status separately.
2. Run a detector-disabled baseline to isolate camera/network/codec instability.
3. Set explicit queue drop policy for stale frames before raising model resolution.
4. Only then tune GPU/runtime settings, Docker restart policy, and playback/downloader jobs.

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