A Pointer Instrument Reading Approach Based On Mask R-CNN Key Points Detection

Wang, Xiaolong; Chen, Junyan; Wang, Huyong

doi:10.1109/iccst53801.2021.00106

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…This ultimately decreases the model's ability to generalize. In this case, WIoUv1 is used to replace CIoU, and WIoUv1 has two levels of attention, as given in (7):…”

Section: Wiouv1 Loss Functionmentioning

confidence: 99%

“…With the proliferation of deep learning in the image domain, pointer meter reading algorithms have rapidly developed based on deep learning. Wang et al [7] utilized a Mask-RCNN algorithm [8] to detect the center and pointer tip of the meter, thereby streamlining the laborious manual procedures. An enhancement to Mask-RCNN has been proposed in the literature [9], which offers superior localization accuracy compared to the original model.…”

Section: Introductionmentioning

confidence: 99%

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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%

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“…This ultimately decreases the model's ability to generalize. In this case, WIoUv1 is used to replace CIoU, and WIoUv1 has two levels of attention, as given in (7):…”

Section: Wiouv1 Loss Functionmentioning

confidence: 99%

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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“…The software system will select the four corners of the rectangle on the actual object in the figure. After selection, the system will solve the intersection of parallel lines and display them on the display control in the image display area [4], as shown in Figure 2. The logic of parallel line intersection calculation program is shown in Figure 3.…”

Section: Calculation Of Intersection Of Parallel Linesmentioning

confidence: 99%

Research on stepwise correction software of photographic image in Chinese medicine extraction monitoring

Cui

Xue-ling

Zhou

et al. 2023

Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022)

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In order to realize the intelligent extraction of Chinese medicine production enterprises, the old equipment can be transformed. The method of transformation is to use camera technology to obtain data. In view of the situation that the collected images are not clear enough, this paper establishes a step-by-step correction method for photographic images. In the field of visual inspection, cameras are used to collect images, and the images taken are photographic images. The photographic images may be distorted so that the parallel lines on the object become non-parallel lines in the captured image. In order to restore the true shape of the object, the image needs to be corrected. Image processing system includes image capture module, image recognition module and image correction module. Image correction first performs parallel line intersection calculation and then performs image step-by-step correction. Image step-by-step correction includes affine correction, similarity correction and metric correction. This paper summarizes the computer running logic of each correction module through experiments. The corrected camera image enters the monitoring system of traditional Chinese medicine extraction, which makes the detection of traditional Chinese medicine extraction more timely, comprehensive and effective. The successful application of step-by-step correction software for photographic images has broken through the technical bottleneck of traditional Chinese medicine extraction equipment, realized real-time and effective monitoring of key indicators in the production process of traditional Chinese medicine extraction, and formed an advanced and effective quality control system for the production process of traditional Chinese medicine extraction.Stepwise image correction technology can also be applied to process monitoring in other industries to achieve intelligent production management.

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A Pointer Instrument Reading Approach Based On Mask R-CNN Key Points Detection

Cited by 2 publications

References 8 publications

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

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

Research on stepwise correction software of photographic image in Chinese medicine extraction monitoring

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