Identity intelligence on the cameras you already own.
A proprietary identity-intelligence stack: identification built for real-world conditions, threshold-crossing capture, integration with existing camera infrastructure, and event intelligence that turns identity × location × time into action.
Proprietary identification architecture
Most facial recognition is built for cooperative conditions. Ours is engineered for the world as cameras actually see it — off-angle faces, motion blur, occlusion, and unpredictable lighting. That architecture is the core of our technical moat.
Threshold-crossing capture
Live in production today: when a person crosses a doorway or boundary, Monivue identifies them from the existing camera feed. No cooperative pose, no wearable, no enrollment gate at the door.
Existing-camera integration
Monivue is infrastructure-agnostic. We integrate with the camera feeds and network a building already has, so a community goes live in days without ripping out hardware or issuing devices.
Event intelligence
Identity, location, and time combine into events. Staff get real-time entry and exit alerts, families get notified when something happens, and every event lands in a structured, searchable record.
What the engine produces
Every identification becomes an event — and every event becomes something a care team can act on.
Exit and entry events push instantly to staff so a resident leaving is caught in the moment, not on playback.
A live, continuously reconciled headcount that satisfies state-mandated daily census without clipboards or rounds.
Every identification is timestamped and retained, giving a complete trail for inspections, families, and incident review.
Encryption at rest and in transit, role-based access, and full audit trails.
Nothing for residents to wear, charge, remove, or forget.
Web app for stations, mobile-friendly views for caregivers on the floor.