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Dual band infrared detection method based on mid-infrared and long infrared vision for conveyor belts longitudinal tear

机译：基于中红外线和长红外视膜的双频带红外检测方法纵向撕裂

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摘要

In mining operation, the longitudinal tear detection of conveyor belt is of great significance to safety production. A novel method, named Dual Band Infrared Detection (DBID), is proposed to detect the longitudinal tear of conveyor belts in this paper. The DBID method is based on the collaboration of mid-infrared and long infrared vision. The DBID sensor device captures the lower surface images of conveyor belt. The feature of tear or scratch and tearing precursor can be extracted by analyzation of captured images. The DBID method is verified by experiments and practice, including the capturing of dual band infrared images (mid-infrared and long infrared images), image preprocessing, and tear detection. The DBID method is not only unlimited by visual condition, but also much more accurate and reliable compared with the Integrative Binocular Vision Detection (IBVD) method presented before which meets the requirement of real-time online detection.
机译：在采矿操作中，传送带的纵向撕裂检测对安全生产具有重要意义。 提出了一种名为双频红外检测（DBID）的新方法，以检测本文传送带的纵向撕裂。 DBID方法基于中红外线和长红外视野的协作。 DBID传感器装置捕获输送带的下表面图像。 可以通过分析捕获的图像来提取撕裂或撕裂和撕裂前体的特征。 通过实验和实践验证DBID方法，包括捕获双频红外图像（中红外和长红外图像），图像预处理和撕裂检测。 DBID方法不仅通过视觉条件无限制，而且与之前呈现的一体化双目视觉检测（IBVD）方法相比，符合实时在线检测的要求，还更准确和可靠。

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