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Abstract Belt conveyor misalignment is a common fault in mining and mineral processing, threatening equipment safety and production efficiency. Traditional vision-based detection methods suffer from unstable references and poor performance in complex industrial environments. This work proposes a geometric-constrained instance segmentation framework combined with dedicated physical markers for real-time embedded misalignment monitoring.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
