SWIFTLOGIC MODULE · VIDEO ANALYTICS

Cameras that understand what they see

Turn the IP cameras you already have into detectors: people, vehicles and number plates are recognised on live streams, events go to the same timeline as fiber alarms, and every clip is kept for search.

ZONE A PERSON 0.94 CAR 0.97 PLATE READ [PLATE NO.] CAM 04 · GATE NORTH · LIVE [DATE · TIME] ZONE ENTRY · ZONE A person · alert sent
WHAT IT DOES

From pixels to events you can act on

People & vehicle detection

Object detection on live streams: people and vehicles by type, with confidence and track.

Zones & line crossing

Draw zones and lines on any camera view and get an alert when someone enters or crosses.

License plate recognition

Plates read from passing vehicles, checked against your lists and stored with the clip.

Face recognition, where lawful

Matching against your own watch list — switched on only where local law allows it.

Verifies fiber alarms

When the fiber raises an alarm, the nearest PTZ camera turns to the spot and confirms what is there.

Archive search

Find every person or vehicle event by time, camera, zone or plate — and jump straight to the clip.

Works with your cameras

Standard IP cameras over RTSP / ONVIF — no need to replace what is already installed.

GPU processing, your choice

Analysis runs on GPU servers in your own data centre or in our cloud — same features either way.

How a camera event travels

01

Stream

Cameras stream video to SwiftLogic.

02

Detect

Models find people, vehicles and plates frame by frame.

03

Decide

Rules for zones, lines, lists and schedules turn detections into events.

04

Notify & keep

Push, email, Telegram or webhook — with the clip attached and stored.

INSIDE SWIFTLOGIC

Real screens from the system

SCREENSHOT · 2400 × 1050Multi-camera live wall with detections
SCREENSHOT · 1600 × 1000Zone and line editor
SCREENSHOT · 1600 × 1000Plate log and archive search

See your own cameras, analysed

Connect a few existing cameras for a trial and see detections, plates and alerts on your own footage.

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