Application research of visual-based method for detecting toilet cleanliness

PENG Yong; ZHANG Hua; GAO Yanfeng

doi:10.12299/jsues.23-0209

Volume 38 Issue 3

Sep. 2024

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Article Navigation > Journal of Shanghai University of Engineering Science > 2024 > 38(3): 334-340, 348

PENG Yong, ZHANG Hua, GAO Yanfeng. Application research of visual-based method for detecting toilet cleanliness[J]. Journal of Shanghai University of Engineering Science, 2024, 38(3): 334-340, 348. doi: 10.12299/jsues.23-0209

Citation:

PENG Yong, ZHANG Hua, GAO Yanfeng. Application research of visual-based method for detecting toilet cleanliness[J]. Journal of Shanghai University of Engineering Science, 2024, 38(3): 334-340, 348. doi: 10.12299/jsues.23-0209

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Application research of visual-based method for detecting toilet cleanliness

doi: 10.12299/jsues.23-0209

School of Mechanical and Automotive Engineering , Shanghai University of Engineering Science, Shanghai 201620, China

Received Date: 2023-09-25
Available Online: 2024-11-14
Publish Date: 2024-09-30

Abstract

Abstract

At present, intelligent nursing robots for secondary defecation only rinse the bucket with a constant amount of water after defecation, without corresponding cleanliness testing. The remaining feces can easily cause air odor and bacterial growth, and even spread diseases. In response to this, two visual based cleanliness detection methods were proposed: one is to evaluate the cleanliness of the toilet by calculating the proportion of dirty pixels, and the other is to use image template matching method to detect the cleanliness of the toilet. Experimental results show that by using adaptive threshold segmentation to calculate the proportion of dirty pixels, it can effectively overcome the influence of background shadows and accurately distinguish photo groups with different levels of pollution, thus achieving the goal of detecting the cleanliness of the toilet.
- cleanliness,
- image processing,
- image similarity,
- adaptive threshold segmentation

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References(15)

References

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