ZoneX — Authorized representative of Hopeland Technologies and Chainway Technologies in Tunisia.  Contact us

ZoneX-Vision — Every camera. One identity. A full timeline.

Face recognition, new-person detection and cross-camera movement history, running on a PC in your own network. No cloud, no images leaving the building.

AI Video Analytics

Your existing cameras become an identity-aware security system

ZoneX-Vision reads the video streams of ordinary surveillance cameras — IP, or analog behind an encoder — recognises people against your own database of faces and identities, flags anyone it has never seen before, and follows each person from camera to camera.

Ask for anyone's day and you get a timeline: which cameras, which zones, from when to when. The server runs on one Windows PC and is used from any browser on the LAN.

On-premises
No subscription
Any browser
ZoneX-Vision: cameras, recognised faces and movement timeline

Who is it? Is it new? Where did they go?

Live view

All cameras in a grid or one at a time with colour-coded labels: known by face, probable by clothing, new, watchlist. An activity badge shows the AI is really working.

People directory

Every identity with photos, category (employee, visitor, watchlist, banned, unknown), first/last seen and reference faces that improve with each clear sighting.

Unknown people detection

A clear, unknown face seen for a few seconds becomes a new identity and raises an alert. Name it, classify it or merge it later.

Movement timeline

By camera or by zone, zoomable, with time spent in each place and day-by-day history. Wrong attributions are fixed with "Not him".

Even from behind

When the face is hidden, the person is still followed by body tracking and, optionally, by a same-day clothing signature.

Alerts

New person, watchlist or banned person seen, possible duplicate identity, camera offline, AI engine problem.

Camera & zone management

RTSP / ONVIF streams, connection test, zones, and per-camera recognition settings for dense crowds, soft or distant images.

Monitor

CPU, memory, GPU load and temperature, per-camera frame rate and AI state, stream health and a filterable live log.

Roles & privacy

Admin, operator and technician roles; technicians see positions only, never names. Configurable retention and one-click deletion of a person.

From video stream to identity in five steps

  1. DecodeEach stream is decoded on the server; a motion gate skips frames where nothing moves.
  2. DetectA person detector finds bodies and a face detector finds faces, paired with their bodies.
  3. RecogniseA 512-dimensional face-print is compared with the database; a match needs a minimum similarity and a clear lead over the runner-up.
  4. TrackA motion-aware tracker follows each person; hidden faces are carried by the body and optionally clothing.
  5. RecordSightings become visits, visits become the timeline; alerts and snapshots go to a local database.

Requirements & delivery

ServerWindows 10/11 64-bit, 16 GB RAM, SSD, wired LAN
GPUNVIDIA GeForce RTX / Quadro (6 GB+) recommended; CPU-only for 1–2 cameras
Capacity8–16 cameras per server (RTX 3060 class, 1080p)
CamerasRTSP / ONVIF, 1080p recommended, main stream ≥ 4 Mbit/s
ClientsAny modern browser on the LAN — PC, tablet or phone
DeliveryInstallation, camera onboarding and tuning, staff enrolment, operator training and a maintenance plan. Typically one day for up to 16 cameras.

Facial recognition is subject to local data-protection law. The operator is responsible for informing the people concerned and for the lawful use of the system.

Do images leave our building?

No. ZoneX-Vision runs on a PC in your local network, with a local database and no cloud service or subscription.

Can we keep our existing cameras?

Yes. It reads RTSP / ONVIF streams from IP cameras and analog cameras behind an encoder.

Is facial recognition legal on our site?

It depends on local data-protection law. The operator must inform the people concerned, have a lawful basis and set the retention period configured in the platform.

Let's see it on your cameras

Book a demonstration on your own site: we connect two of your cameras and show recognition, new-person detection and the movement timeline live.

Request a Demo