scholarly journals DIGITAL INSTRUMENT READING RECOGNITION

Author(s):  
Aleksey Kolmogorov ◽  
Nadezhda Grosheva

An algorithm for recognizing digits from an image of a device with a digital indication as a tool of an automated workplace of a metrologist is considered.

Author(s):  
John Mansfield

Advances in camera technology and digital instrument control have meant that in modern microscopy, the image that was, in the past, typically recorded on a piece of film is now recorded directly into a computer. The transfer of the analog image seen in the microscope to the digitized picture in the computer does not mean, however, that the problems associated with recording images, analyzing them, and preparing them for publication, have all miraculously been solved. The steps involved in the recording an image to film remain largely intact in the digital world. The image is recorded, prepared for measurement in some way, analyzed, and then prepared for presentation.Digital image acquisition schemes are largely the realm of the microscope manufacturers, however, there are also a multitude of “homemade” acquisition systems in microscope laboratories around the world. It is not the mission of this tutorial to deal with the various acquisition systems, but rather to introduce the novice user to rudimentary image processing and measurement.


Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 434
Author(s):  
Qingqi Hong ◽  
Yiwei Ding ◽  
Jinpeng Lin ◽  
Meihong Wang ◽  
Qingyang Wei ◽  
...  

With the rapid development of artificial intelligence and fifth-generation mobile network technologies, automatic instrument reading has become an increasingly important topic for intelligent sensors in smart cities. We propose a full pipeline to automatically read watermeters based on a single image, using deep learning methods to provide new technical support for an intelligent water meter reading. To handle the various challenging environments where watermeters reside, our pipeline disentangled the task into individual subtasks based on the structures of typical watermeters. These subtasks include component localization, orientation alignment, spatial layout guidance reading, and regression-based pointer reading. The devised algorithms for orientation alignment and spatial layout guidance are tailored to improve the robustness of our neural network. We also collect images of watermeters in real scenes and build a dataset for training and evaluation. Experimental results demonstrate the effectiveness of the proposed method even under challenging environments with varying lighting, occlusions, and different orientations. Thanks to the lightweight algorithms adopted in our pipeline, the system can be easily deployed and fully automated.


2021 ◽  
Vol 90 ◽  
pp. 103245
Author(s):  
Feng Shao ◽  
Tianjiao Lu ◽  
Xiuchao Wang ◽  
Zhenfu Liu ◽  
Yuting Zhang ◽  
...  

2011 ◽  
Vol 383-390 ◽  
pp. 2073-2076
Author(s):  
Chun Xuan Yu ◽  
Wei Zhao

According to the developmental trend of modern automobile instrument, this paper puts forward a multifunctional digital instrument based on the embedded Linux system. The digital instrument panel consists of embedded microprocessor and contact screen, and it could not only receive and process all kinds of driving information from peripheral interface and display the results on the LCD, but also has the function of aided parking. This paper proposes an integrated design solution for the digital instrument. The design selects the TI’s TMS320DM355, which includes LCD and contact screen module, CAN bus module, LIN bus module, video-in and audio-out. The digital instrument can receive real-time data, and also process the data and store it in the RAM and display all vehicle operating parameters in the LCD and realizes real time monitoring in backing up. Based on the experiment, it is proved that the designed system reaches the primary design specifications.


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