Method for recognising the ignition point target position of intelligent fire extinguishing robot based on machine vision

Lei Zhang, Baochen Yang, Tianshu Pang and Wenlian Guo

International Journal of Product Development, 2025, vol. 29, issue 3/4, 261-276

Abstract: To improve the accuracy of ignition-point target location recognition and reduce recognition time, this paper proposes an intelligent fire-extinguishing robot target recognition method based on machine vision. First, a binocular stereo vision system is used to capture images of the ignition point. Second, background noise is reduced through image segmentation, while occlusion is processed using normalised colour-difference segmentation and linear projection methods. Finally, by combining Shannon's entropy mutual information theory with colour moment feature extraction, accurate recognition of the ignition-point target position is achieved through quantification of image information and evaluation of information-sharing degrees between image regions. Experimental results demonstrate that the proposed method maintains over 95% recognition accuracy, with the maximum recognition time not exceeding 3 seconds.

Keywords: machine vision; intelligent fire extinguishing robot; ignition point; target location recognition. (search for similar items in EconPapers)
Date: 2025
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