Machine vision for automatic calibration of analog display instruments

1995 ◽  
Author(s):  
Robert Sablatnig ◽  
C. Hansen
2012 ◽  
Vol 468-471 ◽  
pp. 1609-1612
Author(s):  
Jie Huang ◽  
Yong Jun Zheng ◽  
Wei Bai ◽  
Jia Jun Ding

A new automatic calibration system for electronic scale with image identification is developed. The system is composed with mechanical part, pneumatic components, PLC, USB camera and computer. Labview is the developing platform with user interface, PLC is controlled by Labview via OPC configuration to load or unload the standard weights, image machine vision technology is used to automatic recognize the LED char displayed on electronic scale.


2012 ◽  
Vol 580 ◽  
pp. 231-235
Author(s):  
Zhi Yuan LU ◽  
Bo Zhao ◽  
Tie Liu ◽  
Yun Peng Song ◽  
You Meng Zhang

The detection of meshing depth of elevator’s door lock is an important content in the detections of elevator safety performance. Based on machine vision and the principle of image processing, this paper established a detection system of meshing depth of elevator’s door lock, and designed a handheld instrument. Combined with the environment of building for the detection of meshing depth of elevator’s door lock, this paper developed a software system suitable for multiple door locks. The detection system used industrial camera for the image acquisition of door lock’s meshing, and the images would be processed automatically in the micro computer. The instrument is easy to carry. The paper designed two ways including the offline and online automatic calibration for the instrument of video imaging. This paper solved the synchronization problem of image snapshot when the moment of conduction for door lock’s circuit. The detection way has no damage and interference from door lock’s circuit and ensures the independence of detection process.


2014 ◽  
Vol 21 (2) ◽  
pp. 317-328 ◽  
Author(s):  
Wen He ◽  
Guanhua Xu ◽  
Zuochao Rong ◽  
Gen Li ◽  
Min Liu

Abstract 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


ACTA IMEKO ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 235
Author(s):  
Ren Xiang ◽  
Lu JinYu ◽  
Tao Zecheng

In order to solve the problems of the existing standard Brinell hardness machine such as low automation, the time-consuming indentation measurement and the human influence in indentation measurement, a calibration machine for reference block was designed. It shows that this machine can reduce the influence of the temperature difference between the hardness block and the measurement platform; it eliminates the time for the indentation measuring system to find the indentation and juxtapose it with the centre of the field of view and implements fully Brinell hardness automatic calibration.


Author(s):  
Wesley E. Snyder ◽  
Hairong Qi
Keyword(s):  

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.


1997 ◽  
Vol 117 (10) ◽  
pp. 1339-1344
Author(s):  
Katsuhiko Sakaue ◽  
Hiroyasu Koshimizu
Keyword(s):  

2005 ◽  
Vol 125 (11) ◽  
pp. 692-695
Author(s):  
Kazunori UMEDA ◽  
Yoshimitsu AOKI
Keyword(s):  

Fast track article for IS&T International Symposium on Electronic Imaging 2020: Stereoscopic Displays and Applications proceedings.


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