CoreVisor in the field.

1 · The Situation

A municipal command center with legacy cameras across its main access points. Plates were cross-referenced by hand, dispatch ran on radio, and critical events passed through several screens before reaching a patrol.

2 · The Implementation

• ▸VEO AI: automatic plate recognition on every existing camera stream (RTSP/ONVIF) — no hardware replacement.
• ▸EKO AI: emergency calls transcribed into searchable folios, ready for the dispatcher.
• ▸RUTI AI: CAD dispatch correlating plate matches with the nearest patrol and routing the response to the unit's phone.
• ▸C5 Control Tower: one live GIS view of cameras, units and geofences for the whole shift.

3 · The Outcome

1 · The Situation

High-footfall parks and tourist points with a small operator team. Persons of interest were checked manually — and crowd incidents only became visible after they had already started.

2 · The Implementation

• ▸VEO AI: face recognition against watchlists, crowd-density monitoring and automatic evidence clipping on every flag.
• ▸Suspect following: a flagged person is tracked across adjacent cameras, keeping the operator on target without manual PTZ chasing.
• ▸DORY AI: perimeter isolation on confirmed threats — exit points sealed in seconds.

3 · The Outcome

1 · The Situation

Public WiFi zones across the city kept the camera and sensor network alive — and outages were only discovered when a camera went dark. Security operations had no visibility into the network that feeds them.

2 · The Implementation

• ▸Network monitoring: hotspot zones and access points monitored from the same CoreVisor core that runs the C4.
• ▸Correlation: network events joined with camera and unit events — a zone outage is instantly visible on the C5 Tower map.
• ▸Alerting: degraded nodes escalate to the operations chain before a camera goes blind.

3 · The Outcome

1 · The Situation

A private security group monitoring multiple client sites at night. Operators were overloaded: panic calls, WhatsApp inquiries and public social feeds all competed for one pair of eyes.

2 · The Implementation

• ▸EKO AI — panic routing: panic-button calls arrive directly on the C4 console with location and camera context.
• ▸EKO AI — WhatsApp agent: when no operator is free, EKO answers, qualifies the emergency and escalates the real ones instantly.
• ▸EKO AI — social vigilant: public Facebook and social feeds scanned for emergency signals near monitored sites.
• ▸Call transcription: every emergency call transcribed and summarized into the incident folio for the operator.

3 · The Outcome