VISION AI FOR OPERATIONS
Train your own vision AI model with your existing cameras.
We build a vision pipeline for your sites that labels what happens on camera, checks it against your operational data and flags the cases a person should review. People stay anonymous throughout.
Simulation of the pipeline view. Every person is reduced to an anonymous shape before analysis results are stored. No faces, no identities.
From camera feed to reviewed case, without exposing people.
STEP 1
Label what happens
A classification pipeline trained on your footage labels events in the camera feed: objects, zones, movements. People become anonymous shapes at the source.
STEP 2
Add your operational data
Each event is matched with the data you already have, such as orders, scans, stock movements and shift plans, so the pipeline sees context, not just pixels.
STEP 3
Flag what needs a person
Only events that break a rule or contradict your data become cases. Each case says why it needs a review, and your team decides.
STEP 4
Unlock footage on record
People stay invisible by default. If a reviewer needs more for a non-compliant case, footage is unlocked through a documented approval and every access is logged.
No facial recognition
No identification of individuals
No individual performance scoring
Every footage access logged
Hosted in the EU or on site
From the shop floor to the warehouse hall.
