Operator Verification with AIRunning in production

The right trained operator at every critical station — even in mask and goggles.

A camera at each critical stage recognises the operator and checks that they are trained and allowed there. It logs who worked where and for how long — primary, alternate, someone else or an unknown face — and how long a stage stood empty, with daily and monthly reports.

What it does for you

Recognises operators wearing masks and safety goggles
Primary, alternate, other and unknown at each stage
Empty-stage time
Alerts when an untrained person takes a critical stage
Daily and monthly presence reports
Runs on a GPU inside the plant

What it connects to

IP cameras at each stage
A GPU machine on the plant network

What it measures

Presence by stage and shift
Empty-stage time
Unknown and untrained events
Primary versus alternate cover

How it works

EnrolEach operator is enrolled from a few photos, with the stations they are trained for.

Watch the stageA camera at each critical stage recognises who is there, even in mask and goggles.

CheckPrimary, alternate, someone else or unknown — and whether the stage is empty.

ReportPresence by stage and shift, with alerts when an untrained person takes a critical stage.

Needed in your plant

At each stage — An IP camera facing where the operator stands.
In the plant — A GPU machine on the plant network that does the recognition.
For enrolment — A few photos of each operator, taken once.

Where it runs today

Brazing stages on a room-AC line — operators recognised with masks and goggles on

The proof of concept on one machine comes before any quotation.digiryze.com/mos