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.
Examples from real footage.
The scene changes, but the output structure stays consistent: source frame, visual review, readable findings, and action-ready language.
Aged care wellbeing review.
A single room frame becomes a structured wellbeing check with scene summary, findings, confidence, and recommended next-action language.
“One person is visible lying in the bed, appearing to be resting... the overall setting appears safe and well-maintained.”
Worksite PPE and fall-risk check.
The same system can review an elevated work area, call out missing PPE and obvious site hazards, and return specific findings in a format someone can act on.
“Three workers are visible on the roof structure, but none appear to be wearing required PPE... the elevated work area lacks visible guardrails.”
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.