Research and design of intelligent fire-fighting robot based on machine vision detection technology

Si Chen; Xiuquan Liu; Taochuan Zhang; Ming Yi

doi:10.1117/12.2652591

6 September 2022 Research and design of intelligent fire-fighting robot based on machine vision detection technology

Si Chen, Xiuquan Liu, Taochuan Zhang, Ming Yi

Proceedings Volume 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022); 123320L (2022) https://doi.org/10.1117/12.2652591
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 2022, Chengdu, China

Abstract

Warehouses with dense storage of goods and complex environments are places of fire hazards. At present, there is still a lack of mature intelligent fire-fighting equipment in the market. In view of this situation, the intelligent fire-fighting robot based on machine vision detection technology is studied and designed. In the research, it is found that flame detection based on color feature analysis is easily interfered with by objects with similar color features. In order to reduce the interference of static objects, a method combining continuous moving object detection and color feature analysis is used for flame detection. Firstly, the improved background subtraction method is used to detect the moving object in the video stream. After detecting the existence of a moving object, it is needed to wait for a short period of time, and repeat the moving object detection again to determine that there is a continuously moving object in the video stream. Finally, RGB and LMS color models are used to analyze the flame color characteristics, and the flame image is detected and recognized according to the set detection rules. The experimental results of flame detection show that the algorithm has strong adaptability to the environment, which can achieve real-time flame detection, and effectively reduce the interference of static objects with similar colors and instantaneous light.

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Si Chen, Xiuquan Liu, Taochuan Zhang, and Ming Yi "Research and design of intelligent fire-fighting robot based on machine vision detection technology", Proc. SPIE 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 123320L (6 September 2022); https://doi.org/10.1117/12.2652591

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KEYWORDS

Flame detectors

Machine vision

Video

Binary data

Image segmentation

Image processing

Detection and tracking algorithms

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