Billet cutting station

Approved and rejected counting at billet cutting

Name: Approved and rejected counting at billet cutting — Graeon.ai Netra
Uploaded: 2026-11-05
Duration: 10 s
Description: AI approve/reject counting uses zones drawn on a camera view — machine, approved and rejected — and counts each piece by the zone it ends up in. Graeon Netra builds the approved vs rejected tally automatically, so quality data is live instead of reconciled at day end.

AI approve/reject counting uses zones drawn on a camera view — machine, approved and rejected — and counts each piece by the zone it ends up in. Graeon Netra builds the approved vs rejected tally automatically, so quality data is live instead of reconciled at day end.

Netra in action

Real footage with Graeon Netra running on it. Client names are removed.

What you're seeing

Machine, approved and rejected zones are drawn on the cutting station. Netra counts each piece by the zone it lands in, so the approve/reject tally builds itself.

Feeds into Graeon ERP: Quality logs and production registers

What it changes

Live approved vs rejected counts
Rejection trends by shift and machine
No end-of-day manual reconciliation

Frequently asked questions

Does it need new cameras?

No. Graeon Netra runs on the plant's existing CCTV. The clip on this page shows Netra on real plant footage.

Where does the data go?

Into Graeon ERP and HRMS modules, kept in step with Tally or Oracle through ready connectors; other systems are connected through our API as a project. Alerts also reach the Netra mobile app, email and SMS.