THE CHALLENGE
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Clinker reaching crusher daily
No automated detection meant oversized chunks reached the crusher every day, causing damage requiring part replacement.
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Manual inspection unsustainable
Fatigue and momentary distraction across full shifts were enough for a clinker to pass through undetected.
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High equipment replacement costs
Each missed clinker caused physical crusher damage resulting in unplanned maintenance and production downtime.
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Manpower tied to single task
A skilled worker permanently stationed at the belt could not be redeployed to higher value tasks.
THE SOLUTION
We deployed a computer vision system on the existing conveyor belt camera infrastructure that continuously monitors material flow. The moment a clinker is detected, the system automatically triggers a conveyor stoppage via relay integration - preventing it from reaching the crusher. The stationed person is alerted and attends the belt only when needed.
Flow: Live conveyor feed -> Clinker detected -> Conveyor stoppage triggered via relay -> Operator alerted -> Clinker removed -> Conveyor resumed -> Incident logged
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Continuous real-time monitoring of conveyor belt material flow via existing camera infrastructure.
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AI model trained to identify clinker size and shape against normal limestone material on the belt.
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Automatic conveyor stoppage triggered via relay the moment a clinker is detected - no human action required.
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Full incident log with timestamp, image, and stoppage duration for every detected clinker.





