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The conveyor belt tear detection algorithm leverages AI-based visual analysis and image enhancement techniques to automatically detect defects such as belt tears, damages, and cracks. When a tear is identified, the system immediately triggers an alert and notifies relevant personnel for timely intervention, preventing material leakage, equipment damage, and production downtime. It is widely applicable to heavy-duty transport scenarios such as mining, cement, steel, and port industries, enhancing operational efficiency and safety.
Mining Operations
Monitor the operation status of the conveyor belt, timely identify and warn of tearing situations, and ensure the continuity of material transportation
CementPplant
Detect belt tears in conveying clinker and raw materials to prevent production interruptions and equipment damage
Steel Plant
Real time monitoring of the condition of iron ore and steel conveyor belts, timely handling of tearing issues, and improving production efficiency
Port Terminal
Monitor the loading and unloading belts of bulk cargo, identify tearing situations in a timely manner, and ensure the efficiency of logistics transportation