Fall & man-down detection
Immediate alerts in corridors, wards, and waiting areas.
Safer facilities without new cameras: fall detection in patient areas, restricted-zone enforcement for pharmacies and labs, hygiene compliance, and waiting-room flow — processed in-country, privacy-first.

Every use case runs on the cameras you already own — deployed in days, governed by deterministic rules, and backed by sealed, audit-grade evidence.
Immediate alerts in corridors, wards, and waiting areas.
Pharmacies, labs, and medication rooms enforced beyond badge access.
Mask, glove, and gowning verification where policy requires it.
Queue and occupancy data for patient-flow decisions.
Perimeter and interior intrusion detection on existing CCTV.
Sealed, privacy-conscious records for reviews and claims.
CamEdge runs on-prem GPU inference against your current CCTV — no rip-and-replace, resilient to limited connectivity.
A deterministic rules engine enforces your policies — updated in minutes as operations change, with zero model retraining.
Every event lands in CamCore with an annotated clip and AI-written explanation — routed to your teams, ready for auditors.
Start with 10–50 of your existing cameras, prove value in weeks, and grow the same deployment into your operations system of record.
Prove fall detection, restricted-zone enforcement, and waiting-room analytics in one facility — privacy-first, processed in-country, on the cameras you already have.
Answers to the questions healthcare teams ask most about deploying Camnitive — from camera requirements to compliance evidence.
Video is processed on-prem and never leaves your facility; there is no facial recognition or biometric identification — both are deliberately excluded from the platform. Detections are policy-based (a person has fallen, a zone was entered), and evidence access is role-controlled and audited.
Fall and man-down rules run continuously on existing cameras, alerting the nearest nursing station or security desk in seconds with an annotated frame — cutting response time in areas that patient-monitoring systems don't cover.
Yes. Camera-based zone rules verify what actually happens at the door — tailgating, propped doors, out-of-hours entry — and seal every exception with time-stamped evidence for pharmacy and compliance review.
The architecture is built for it: on-prem inference, in-country data residency, and privacy-first analytics support health-sector obligations under GDPR, the Saudi and UAE PDPL, and ASEAN privacy laws.
Yes. Waiting-room occupancy and queue analytics run anonymously on the same cameras, giving operations teams live data for staffing and flow decisions — no new sensors, no privacy trade-off.
Fall detection in high-traffic corridors and waiting areas, restricted zones on pharmacies and labs, and after-hours security — then hygiene compliance and flow analytics on the same deployment.
Occupancy, security, and service quality in the buildings people move through.
On the cameras you already own. Start with a 10–50 camera pilot, see measurable ROI in weeks, and grow it into your operations system of record.