Video becomes a working incident record.
Private Vision detects what changed, resolves it into findings, timelines, and grounded summaries, and makes the evidence searchable without replacing the camera system underneath.
Ask the footage directly.
Operators should not have to scrub through hours of recordings when they already know the question. Private Vision turns indexed events into plain-language search results tied back to the source clip.
“Show me anyone near the garage after 10 PM.”
Timelines make events readable.
Continuous footage becomes an ordered event record. Each moment can carry a summary, detected objects, confidence, and a direct link back to the clip that produced it.
“View the day as a sequence of incidents, then open the exact frame and objects that explain each event.”
Private review, kept local.
Private Vision keeps footage, indexing, and review context on the local system by default, so the customer gets useful intelligence without routing core video analysis through the cloud.
“The footage stays where it was captured. The intelligence layer runs beside the existing camera system.”
What the product returns.
The point is not raw detection alone. The point is a usable record that someone can review, explain, search, and act on.
Prioritized issues with confidence and recommended next actions.
An ordered incident sequence instead of a long motion archive.
Plain-language scene descriptions grounded in observed footage.
Natural-language access to indexed people, vehicles, packages, areas, and times.
Fits the cameras and NVRs already in place.
Private Vision is an intelligence layer, not a replacement stack. Connect to available RTSP streams, use ONVIF where supported, run the system on Apple Silicon hardware, and keep the installed camera environment intact.
Walk through the product on your own install context.
We can review example outputs, integration fit, and how the system behaves on the kind of footage you actually manage.