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Aluminium recycling

Furnace monitoring with computer vision

Turning existing furnace-camera video into a time-stamped record of door openings and activities, replacing manual video-to-Excel logging.

AI & DataProposal & validation · 2026CIVINTEL project

Illustrative furnace monitoring dashboard with camera view, door states and an activity timeline.
Illustrative image · GenAI
2 min 17 s
door-open event missing from the manual log in one sample
15
week proposed delivery plan
0
new cameras needed

The challenge

Activities at a scrap-remelting furnace (loading, skimming, stirring) and every door opening were logged by a person watching video and typing times into Excel. The method was slow, could not run 24/7, and events were missed. Every door opening means heat loss.

Our approach

  1. Validate on historical recordings: detect door states every second from the existing camera.
  2. Monitor doors live, with indicators and alerts when a door stays open without an activity.
  3. Recognise activities with object tracking and activity models, including parallel activities.
  4. Generate the Gantt timeline and Excel export the team already uses, with a video clip for every event.

Results & features

  • In one historical recording, video analysis found a 2 min 17 s door-open event that was missing from the manual log.
  • Each event can be verified against its own video clip.
  • Processing runs inside the factory, with a future link to the energy management platform.

Have a similar challenge?

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