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Algorithm Mall
The belt deviation detection algorithm uses AI-based visual recognition to continuously monitor the trajectory of conveyor belts. It can automatically detect anomalies such as belt deviation, tilting, and edge shifting. When the deviation exceeds a preset threshold, the system triggers real-time alarms and can be linked with control centers for emergency response. This algorithm is widely applicable to industrial scenarios requiring high continuity in material transportation, effectively preventing production interruptions and equipment damage caused by belt misalignment.
Mining Operations
Monitor the operation status of the conveyor belt, identify and correct deviation issues in a timely manner, and ensure the continuity and safety of material transportation
Cement Plant
Detect belt deviation in conveying clinker and raw materials to prevent production interruption and equipment damage caused by deviation
Steel Plant
Real time monitoring of the condition of iron ore and steel conveyor belts, timely handling of deviation issues, and improving production efficiency
Port Terminal
Monitor the loading and unloading belts of bulk cargo, identify deviations in a timely manner, and ensure the efficiency of logistics transportation