Casino Vision AI · Flagship

Every camera on the floor,
working like your best operator.

Camvi gives the cameras a property already owns intelligence — real-time identity, tracking, weapon detection, and floor awareness, running on premises on commodity servers. Built for casinos. Ready for far more.

  • NIST-BENCHMARKED RECOGNITION
  • ON-PREMISES · NO CLOUD REQUIRED
  • U.S.-BASED · FOUNDED 2015

Natural-language video search

Ask your cameras.
In plain language.

"Red sedan in front of the building between 2 and 5 pm yesterday." Hours of scrubbing becomes a sentence. Camvi indexes what your cameras see — people, vehicles, objects, events — and makes all of it searchable in plain language, entirely on your own servers. No footage leaves the building.

How on-prem search works
VIDEO INTELLIGENCE · ON-PREM0 DATA OFFSITE

Concept visualization — not the Camvi product interface.

Flagship — Casino & Gaming

Built for the gaming floor.

Security, surveillance, VIP service, investigations, and operations — one Vision AI layer over the camera estate your property already owns.

COMMAND VIEW · TRACKING
Multi-camera tracking: pick a person of interest and follow their trajectory across the property. Interface overlay simulated for illustration.

Architecture

Runs where cloud can't go.

Jails. Hospitals. Casinos. Closed networks. Camvi runs entirely inside your walls — existing cameras in, intelligence out, on commodity servers with consumer-grade GPUs.

Your existing cameras

No new hardware on the floor — Camvi rides the camera estate and VMS the property already owns.

On-premises compute

GPU appliances racked inside your surveillance infrastructure, on your network.

Camvi Vision AI core

NIST-benchmarked recognition, multi-camera tracking, and analytics — processed inside the building.

Alerts, search & command

Real-time notifications, person search, and dashboards for surveillance, security, and hosts.

Credentials

A decade on one hard problem.

#1

NIST FRVT wild-image accuracy — 2018

Ranked first for wild-image accuracy in NIST FRVT 1:1 verification (November 2018 report) — the category closest to real CCTV conditions.

#1

NIST FRVT mugshot accuracy — 2019

First in mugshot-photo accuracy in the July 2019 NIST FRVT 1:1 report, among 139 algorithms from 88 developers.

2015

U.S.-based, a decade deep

Founded in Silicon Valley in 2015. One problem — recognizing people, vehicles, objects, and events in difficult real-world video.

ON-PREM

Your building, your data

On-premises and closed-network deployments on commodity hardware — data stays under operator control.

NIST results are point-in-time benchmark rankings, not endorsements.See the full benchmark history →

Tell us what your cameras should be doing.

A working demo mapped to your use cases — casino floor, records unit, jail, hospital, or monitoring center.