An Automatic Reading Recognition Method for Pointer Spring Tube Pressure Instrument

Yang, Xin; Ma, Shuhua

doi:10.1109/ccdc.2019.8832698

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…Yang and Ma 14 proposed a method based on threshold segmentation, Hough circle detection, morphology, and pixel normalization to realize automatic reading recognition. The digital display instrument handles issues such as dial area positioning in the reading recognition process is similar to the pointer instrument reading recognition.…”

Section: Related Workmentioning

confidence: 99%

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Instrument reading recognition by deep learning of capsules network model for digitalization in Industrial Internet of Things

Hou

Gao

2022

Engineering Reports

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Using the intelligent image recognition method to recognize the reading of the unintelligent manual reading meter is an important approach to expand the sensing means and reduce the cost of transformation of the Industrial Internet of Things. Traditional methods based on morphology and back propagation neural networks are difficult to solve the problems of shadow, deflection, and dimness in the industrial environment. In this article, the deep learning‐based capsule networks for pointer instruments and digital display instruments were proposed to implement unintelligent manual reading meter recognition using. Due to the complex structure and a large number of parameters, the basic capsule network is difficult to run on devices with low computing resources. To overcome this issue, the improved capsule network model was designed to reduce the parameters of the model. The experimental results show that the improved capsule network improves the recognition accuracy by 13% and reduces the parameters by 23%.

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Section: Related Workmentioning

confidence: 99%

“…In the ReLU function, if input x < 0, the output result was equal to 0; if the input x > 0, the output result was equal to the input. The definition of the ReLU function is given in Equation (14).…”

Section: Convolutional In Capsule Modulementioning

confidence: 99%

Instrument reading recognition by deep learning of capsules network model for digitalization in Industrial Internet of Things

Hou

Gao

2022

Engineering Reports

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“…Most current studies on pointer meter reading employ conventional digital image processing methods. Yang et al [1] proposed a method for recognizing the pointer of a spring tube meter using threshold segmentation, Hough circle detection, morphology, and pixel normalization. However, this method has limitations in extracting the edge pixels of the pointer and scale lines, is sensitive to experimental environments, and may perform differently under varying environmental conditions, leading to a lack of generalizability.…”

Section: Introductionmentioning

confidence: 99%

Research on the Pointer Meter Reading Method Based on Adaptive Pooling and Hierarchical Fusion

Wang,

Yin,

et al. 2024

IEEE Access

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A pointer meter reading method based on adaptive pooling and hierarchical fusion is proposed, aiming at the current pointer-type meter reading methods' poor recognition ability and low accuracy. Firstly, to tackle the limited recognition capability of dial areas in complex settings, we proposed a pooling cascade and a lightweight instrument detection algorithm based on DA-YOLOv8n. The approach aims to enhance the feature detection ability of challenging-to-identify dials by supplementing feature information from various receptive fields for small object detection and boosting detection speed. Secondly, the AF-U 2 Net hierarchical fusion algorithm is proposed for the segmentation of scale lines and pointer, which extracts the fine-grained information of edge pixels through multilevel layering and multiscale feature splicing to alleviate the problem of low segmentation accuracy effectively. Finally, precise meter readings at the pixel level are attained through refinement operations, polar coordinate transformations, and projection operations. Experimental results indicated that DA-YOLOv8n improved compared to the original model, with an increase of 1.6%

show abstract

An Automatic Reading Recognition Method for Pointer Spring Tube Pressure Instrument

Cited by 2 publications

References 9 publications

Instrument reading recognition by deep learning of capsules network model for digitalization in Industrial Internet of Things

Instrument reading recognition by deep learning of capsules network model for digitalization in Industrial Internet of Things

Research on the Pointer Meter Reading Method Based on Adaptive Pooling and Hierarchical Fusion

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