Automatic calibration of analog and digital measuring instruments using computer vision

Alegria, F.; Serra, A. Cruz

doi:10.1109/19.836317

Cited by 106 publications

(81 citation statements)

References 5 publications

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“…lheight is the length of minimum external rectangle, lwidth is the width of minimum external rectangle. S(x, y) is the pixel value of coordinate point (x, y).the upper and lower bound of length width ratio are 1 ε and 2 ε , the lower bound of the area ratio is 3 ε . Table 1 Truth table of …”

Section: Character Recognitionmentioning

confidence: 99%

Numerical Recognition in the Verification Process of Mechanical and Electronic Coal Mine Anemometer

Ying

Wang²,

Wang³

2013

Interdisciplinary Research Theory and Technology

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Abstract. In this paper, the digital image processing and recognition technology are applied in the verification process of mechanical and electrical coal mine anemometer. Firstly, using camera to collect the mirror image of the anemometer from a plain mirror which in the wind tunnels. Secondly, the image is processed by secondary mirroring, denoising, the location of numerical display area, binarization, segmentation, etc. Lastly, according to the characteristics of anemometer, which using the LED digital tube to display numbers, the region segmentation scanning method was adopt to recognize the digital characters and the decimal point. The experiments show that this method has high recognition rate, the recognition time is able to meet the requirement for the verification of mine anemometer.

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Section: Character Recognitionmentioning

confidence: 99%

Numerical Recognition in the Verification Process of Mechanical and Electronic Coal Mine Anemometer

Ying

Wang²,

Wang³

2013

Interdisciplinary Research Theory and Technology

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“…Most of the digital-display vibrometers could not be calibrated by the ordinary automatic calibration system directly because of no output or interface except the display on the vibrometers for cost considerations. In the recent years, machine vision technology has widely been applied in automatic systems [8][9][10][11][12][13][14][15][16][17]. A digital camera can be applied to replace human eyes to capture the images of digital or analog displays, and then the captured images are transmitted to a computer, in which the displays are recognized by some image recognition algorithms.…”

Section: Introductionmentioning

confidence: 99%

“…As for the recognition of the digital display, F.C. Alegria and A.C. Serra developed an automatic calibration system for analog and digital measuring instruments using computer vision [11,12]. E. Vázquez-Fernández et al proposed a complementary method with human perception for digit recognition [13], which was applied to calibrate digital thermometers [14].…”

Section: Introductionmentioning

confidence: 99%

“…Besides, recognition of the decimal point has not been considered in many studies [11,12,15]. Furthermore, a large number of digital-display vibrometers to be calibrated should be installed on the vibration table of a vibration exciter since their sensing heads and displays are integrated together into a package, thus the display values may be vibrating during calibrating at a frequency as high as 160Hz, which will result in a blurry image and lower recognition rate because of the limited acquisition speed of the camera.…”

Section: Introductionmentioning

confidence: 99%

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Automatic Calibration System for Digital-Display Vibrometers Based on Machine Vision

He¹,

Xu²,

Rong³

et al. 2014

Metrology and Measurement Systems

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Considering the low efficiency during the process of traditional calibration for digital-display vibrometers, an automatic calibration system for vibrometers based on machine vision is developed. First, an automatic vibration control system is established on the basis of a personal computer, and the output of a vibration exciter on which a digital-display vibrometer to be calibrated is installed, is automatically adjusted to vibrate at a preset vibration level and a preset frequency. Then the display of the vibrometer is captured by a digital camera and identified by means of image recognition. According to the vibration level of the exciter measured by a laser interferometer and the recognized display of the vibrometer, the properties of the vibrometer are calculated and output by the computer. Image recognition algorithms for the display of the vibrometer with a high recognition rate are presented, and the recognition for vibrating digits and alternating digits is especially analyzed in detail. Experimental results on the built-up system show that the prposed image recognition methods are very effective and the system could liberate operators from boring and intense calibration work for digital-display vibrometers.

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“…Now, anemometer is widely used in wind speed measurement. According to the types of structure, the anemometer can be divided into mechanical type, electrical type, mechanical and electrical type [2]. Because of the display area of mechanical and electrical anemometer perpendicular to the observable window, it's hard to acquire the numerical values.…”

Section: Introductionmentioning

confidence: 99%

Numerical Recognition in the Verification Process of Mechanical and Electronic Coal Mine Anemometer

Ying¹,

Wang²,

Wang³

2013

Advances in Multimedia, Communication and Networking

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Automatic calibration of analog and digital measuring instruments using computer vision

Cited by 106 publications

References 5 publications

Numerical Recognition in the Verification Process of Mechanical and Electronic Coal Mine Anemometer

Numerical Recognition in the Verification Process of Mechanical and Electronic Coal Mine Anemometer

Automatic Calibration System for Digital-Display Vibrometers Based on Machine Vision

Numerical Recognition in the Verification Process of Mechanical and Electronic Coal Mine Anemometer

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