Application of foreign object recognition system based on machine vision in conveyor protection

YU Zhiqiang

doi:10.13347/j.cnki.mkaq.20231389

Safety in Coal Mines > 2024 > 55(5): 251-256. > DOI: 10.13347/j.cnki.mkaq.20231389

YU Zhiqiang. Application of foreign object recognition system based on machine vision in conveyor protection[J]. Safety in Coal Mines, 2024, 55（5）: 251−256. DOI: 10.13347/j.cnki.mkaq.20231389

Citation:

YU Zhiqiang. Application of foreign object recognition system based on machine vision in conveyor protection[J]. Safety in Coal Mines, 2024, 55（5）: 251−256. DOI: 10.13347/j.cnki.mkaq.20231389

Citation:

YU Zhiqiang. Application of foreign object recognition system based on machine vision in conveyor protection[J]. Safety in Coal Mines, 2024, 55（5）: 251−256. DOI: 10.13347/j.cnki.mkaq.20231389

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Application of foreign object recognition system based on machine vision in conveyor protection

YU Zhiqiang^{1, 2,}

1.
Tiandi (Changzhou) Automation Co., Ltd., Changzhou 213003, China
2.
China Coal Technology and Engineering Group Changzhou Research Institute, Changzhou 213003, China

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Received Date: September 21, 2023
Revised Date: October 16, 2023

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Abstract

Abstract

This article designs a foreign object recognition system based on machine vision and applies it to the protection of the main transportation belt conveyor. The study uses YOLOv5s as the deep learning model to deploy the trained model to the edge computing module. Real time video is captured by an industrial intrinsic safety camera and transmitted to the edge computing module to identify the foreign matters in the coal flow. Finally, only the recognition results are transmitted externally. When a high level of foreign object danger is detected, an alarm signal will be sent to the collaborative controller, which will issue a shutdown command to the specific single controller. Simultaneously upload the processed real-time video and alarm information to the control platform for display. This design improves the intelligence, stability, and reliability of the protection of the current main conveyor belt conveyor.
- belt conveyor protection,
- foreign object identification,
- machine vision,
- deep learning,
- edge computing

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References (10)

References

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Application of foreign object recognition system based on machine vision in conveyor protection