Industry
Hospitals, Clinics, and Diagnostic Chains
Identity, access, and visitor flows for environments where strangers move through restricted zones at all hours — calibrated to clinical operations rather than corporate ones.
Typical client profile
Multi-specialty hospitals, day-care surgery centres, diagnostic-chain branches, and long-stay clinics. Typical deployment is 80–400 cameras per facility with FRS at staff and restricted-zone entries.
Indicative scope
Healthcare Discovery includes a clinical-flow review with the medical director and nursing leadership. We do not deploy modules that influence clinical decisions; we focus on identity, access, safety, and operational flow.
Compliance considerations
- DPDP Act 2023 — patient data minimisation, opt-in for any identification beyond the immediate care episode
- DGHS and state health-authority guidance on medical-record handling
- Clinical zoning — OT and ICU exclusions, modesty-aware framing in wards and consultation rooms
- Audit logging suitable for NABH and clinical-establishment inspections
Healthcare stack
Modules typically deployed in this vertical.
The platform supports more — this is the configuration we most often land on for clients in this category.
Face Recognition (FRS)
Hardware-grade FRS terminals with depth and IR anti-spoofing at gates and high-traffic entries; software liveness for back-end matching.
Accuracy: 95% indoor adult under controlled lighting · 90% under-12 with periodic re-enrolment · 88% outdoor daytime
Visitor Management
Pre-registration, on-arrival capture, parental-consent workflow for visiting children, and badge issuance with auto-expiry.
Accuracy: Process compliance >99% with mandatory-field forms; identity match per FRS module.
RFID + Face Hybrid
Two-factor entry for high-security zones: RFID badge presents, face confirms — one fails, both fail.
Accuracy: 98% true-accept with both factors present; explicit reject on any mismatch.
PPE / Mask Compliance
Configurable per industry — hard hat, safety glasses, masks, gloves, hi-vis vests, boots — with site-specific class definitions.
Accuracy: 92% on standard PPE classes at entry checkpoints; lower in busy multi-class shop floors where we recommend zone-by-zone tuning.
People Counting
Footfall and occupancy by zone, by hour, with per-site calibration. Counts are de-identified at the edge.
Accuracy: 97% at zone entries with overhead camera; 92% at oblique angles.
Queue Management
Wait-time estimation, queue-length thresholds, and abandonment alerts — wired to staff escalation flows.
Accuracy: Wait-time estimates within ±20% under steady throughput.
Intrusion Detection
Polygon-defined perimeter and restricted zones, schedule-aware, with separate models for human vs. animal vs. vehicle.
Accuracy: 93% detection on humans crossing defined polygons; <2 false alerts per camera per night with proper masking.
Audio Analytics
Edge-deployed acoustic models for gunshot, glass-break, scream, and distress sounds. Calibrated per-site to suppress local ambient noise.
Accuracy: Class-dependent: 92% gunshot in semi-urban environments, 88% glass-break, 80% scream in noisy interiors.
Fire / Smoke Early Detection
Visual smoke and flame detection as an early warning layer that complements — not replaces — fire-panel sensors.
Accuracy: 85% on visible flame within camera FOV; smoke detection accuracy is highly scene-dependent and is treated as supporting, not primary.
AI-Prioritised Alert Routing
Severity ranking, dedupe and suppression rules, escalation chains with on-call windows, and SLAs per alert class.
Accuracy: We measure mean-time-to-acknowledge and false-positive rate per class, monthly.
Custom CV Modules
Bespoke modules built to client requirements — laboratory protocols, equipment status, niche compliance checks.
Accuracy: Committed per module after a 4–6 week data study and pilot.
Run a healthcare site through Discovery.
Tell us about the site count, the existing camera estate, and the compliance perimeter. We'll come back with a scoping outline.