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

Authors: Lei Zhang; Baochen Yang; Tianshu Pang; Wenlian Guo

Addresses: College of Management and Economics, Tianjin University, Tianjin 300072, China; Xinxing Jihua (Beijing) Intelligent Equipment Technology Research Institute, Beijing 100120, China ' College of Management and Economics, Tianjin University, Tianjin 300072, China ' School of Mechanical Engineering, Beijing Institute of Technology, Beijing 00081, China ' Tianjin Transportation Technology College, Tianjin 300380, China

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.

DOI: 10.1504/IJPD.2025.149692

International Journal of Product Development, 2025 Vol.29 No.3/4, pp.261 - 276

Received: 30 Sep 2024
Accepted: 27 Jun 2025
Published online: 10 Nov 2025 *

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