
Intelligent monitoring
AI-augmented cameras that classify real security events in real time — reducing false alarms, enabling forensic search, integrating with identity and access.

overview
Computer vision classifies zone entry, loitering, perimeter breach, crowd density, and behavioral anomalies — suppressing environmental noise that makes untuned systems impractical.
Each model is calibrated against labeled footage from your specific site. When Identity is active, detected faces match against enrolled records and watchlists in real time.
Alert precision measured against labeled incidents from your site. Thresholds calibrated per camera zone and event type before deployment.
what we build
Real-time person, vehicle, and object detection across configurable event taxonomy
Per-camera calibration using your site footage to minimize false positives
Forensic event search by type, zone, and time — no footage scrubbing
Structured alert routing with event type, location, timestamp, and clip
Identity integration for real-time watchlist and face recognition across feeds
Recording schedules, retention tiers, and role-based secure remote viewing
how it works
Streams routed to detection pipelines by zone type and configured models.
CV models classify objects and behaviors; faces matched if Identity active.
Events above threshold generate structured alerts with clip; noise suppressed.
All events indexed by type, zone, time, and identity for instant retrieval.
use cases
Intrusion, loitering, and breach alerts with automated access lockdown response.
Behavioral detection plus forensic search by event type, not footage timeline.
Falls, missing PPE, crowd density — structured alerts with audit trail.
Real-time zone headcount feeding capacity dashboards and utilization analysis.
Recognized faces logged; watchlist matches alert with confidence scores.