Paper
13 December 2021 Research on dynamic water level recognition algorithm of compartment of applying PP-YOLOv2
Jiang Song, Xuerui Zhai, Ruida Ye, Bo Hu, Zhengpeng Shao, Hao Wu, Nanhang Luo
Author Affiliations +
Proceedings Volume 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021); 120870Z (2021) https://doi.org/10.1117/12.2625060
Event: International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 2021, Kunming, China
Abstract
To accurately identify the dynamically changing water level in the compartment, Firstly, it is needed to pre-process the image by image grayscale, image segmentation, morphological processing, apply PP-YOLO v2 algorithm to measure the water level with dynamic changing characteristics, simulate the compartment through the water tank, convert the actual level according to the proportion, and finally compare the algorithm detection result with the actual measurement result by experiment. Finally, the algorithm detection results are compared with the actual measurement results through experiments, and the relative error is derived. The experimental results show that the dynamic water level identification algorithm of compartment with PP-YOLO v2 has high accuracy, and the relative error is only 1.33%. The accuracy of this algorithm for dynamic change of water level recognition is 98.67%, which has strong application value.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiang Song, Xuerui Zhai, Ruida Ye, Bo Hu, Zhengpeng Shao, Hao Wu, and Nanhang Luo "Research on dynamic water level recognition algorithm of compartment of applying PP-YOLOv2", Proc. SPIE 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 120870Z (13 December 2021); https://doi.org/10.1117/12.2625060
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KEYWORDS
Liquids

Image segmentation

Detection and tracking algorithms

Image processing

Image processing algorithms and systems

Cameras

Statistical modeling

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