A pointer meter recognition method based on virtual sample generation technology

Cai, Weidong; Ma, Bo; Zhang, Liu; Han, Yongming

doi:10.1016/j.measurement.2020.107962

Cited by 46 publications

(30 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The task of analogue gauge transcription has been tackled numerous times. Recent methods fall largely into two groups: those which use traditional based computer vision [3,20,25,8,18,23,9,26,17] and those which utilise deep learning [14,10,11,21,1,16,5,15]. Methods using traditional based approaches are typically brittle to appearance variation in lighting, background clutter and highly constrained to particular types of gauges.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Real-time analogue gauge transcription on mobile phone

Howells

Charles

Cipolla

2021

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

View full text Add to dashboard Cite

The objective of this paper is to automatically read any circular single pointer analogue gauge in real-time on mobile phone. We make the following contributions: (i) we show how to efficiently and accurately read gauges on mobile phones using a convolutional neural network (CNN) system which accepts both a high and low resolution gauge image; (ii) we introduce a large synthetic image dataset (far superior in size to prior works) with ground truth gauge readings, pointer layout and scale face homographies that is suitable for training a CNN for real world application; (iii) we also release a new real world analogue gauge dataset (larger meter variation than any previous) with annotation suitable for testing three different types of tasks and finally (iv) we beat state of the art performance for gauge reading on this dataset and an existing public dataset in multiple metrics by large margins, notably with pointer angle error less than 1 degree. Our method is fast and lightweight and runs up to 25fps on mobile devices.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Semi-synthetics have been used fairly successfully by Weidong et. al [5], but this was limited to a very small range of meters and single camera view. For transcribing digital meters, Charles et.…”

Section: Introductionmentioning

confidence: 99%

Real-time analogue gauge transcription on mobile phone

Howells

Charles

Cipolla

2021

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

View full text Add to dashboard Cite

show abstract

“…The gray level sub-sampling along the tick marks generates a 1D signal and local maximums on the 1D signal that are used to calculate the meter reading. Cai Weidong et al proposed a new virtual sample generation technology in [14]. It solved the problem of generating a large number of images from a small number of real samples to train the recognition, and then obtained readings by analyzing the key information of the instrument images.…”

Section: Introductionmentioning

confidence: 99%

Automatic Reading Algorithm of Substation Dial Gauges Based on Coordinate Positioning

Xiao

et al. 2021

Applied Sciences

View full text Add to dashboard Cite

With the development of science and technology, inspection robots have attracted more and more attention, and research on the automatic reading of pointer instruments through inspection robots has become particularly valuable. Aiming at the problems of uneven illumination, complex dial background and damping fluid interference of the collected instrument images, this paper proposes a dial gauge reading algorithm based on coordinate positioning. First, the multi-scale retinex with color restoration (MSRCR) is applied to improve the uneven illumination of the image. Second, a circle detection algorithm based on the arc-support line segment is proposed to detect the disc to obtain the coordinate of the center and radius of the circle. Then, a pointerless template is used to obtain the pointer, and the concentric circle algorithm is applied to locate the refined pointer. Finally, the automatic reading is calculated using the relative position of the pointer and the zero scale. The experimental results prove that the proposed algorithm can accurately locate the center of the circle and the pointer and obtain readings automatically.

show abstract

“…Then obtains the angle of the scale line and the pointer line through the fast refinement algorithm and the straight line fitting algorithm, and finally uses the interpolation method to read. Cai et al [ 20 ] proposed a novel virtual sample generation technology, and then used an end-to-end convolutional neural network to identify the instrument. He et al [ 21 ] first used Mask-RCNN to classify the meter and segmented the pointer image in the meter, and then used the PCA algorithm to fit the pointer line and read through the angle of the pointer.…”

Section: Introductionmentioning

confidence: 99%

“…The scale value text is a common feature of different types of instruments, so the algorithm has a wider range of adaptation. Cai [ 20 ] used an end-to-end neural network model to directly read the meter. When a new meter appears, a large amount of training data needs to be prepared again and the network needs to be retrained.…”

Section: Introductionmentioning

confidence: 99%

A High-Robust Automatic Reading Algorithm of Pointer Meters Based on Text Detection

Zhu

Zhou

Sheng

et al. 2020

Sensors

View full text Add to dashboard Cite

Automatic reading of pointer meters is of great significance for efficient measurement of industrial meters. However, existing algorithms are defective in the accuracy and robustness to illumination shooting angle when detecting various pointer meters. Hence, a novel algorithm for adaptive detection of different pointer meters was presented. Above all, deep learning was introduced to detect and recognize scale value text in the meter dial. Then, the image was rectified and meter center was determined based on text coordinate. Next, the circular arc scale region was transformed into a linear scale region by polar transform, and the horizontal positions of pointer and scale line were obtained based on secondary search in the expanded graph. Finally, the distance method was used to read the scale region where the pointer is located. Test results showed that the algorithm proposed in this paper has higher accuracy and robustness in detecting different types of meters.

show abstract

A pointer meter recognition method based on virtual sample generation technology

Cited by 46 publications

References 21 publications

Real-time analogue gauge transcription on mobile phone

Real-time analogue gauge transcription on mobile phone

Automatic Reading Algorithm of Substation Dial Gauges Based on Coordinate Positioning

A High-Robust Automatic Reading Algorithm of Pointer Meters Based on Text Detection

Contact Info

Product

Resources

About