Improved Method of Number Identification Device for Some Kind o
f
Circuit Test
Jie Chen
1
, Xueheng Zhu
1
and Xiaodong Wang
2
1
Electronic Component, Chongqing CEPREI Industrial Technology Research Institute, ChongQing, China
2
Quality and Safety, Chongqing CEPREI Industrial Technology Research Institute, ChongQing, China
Chenjie313@163.com
Keywords: Digital, image, identification devic.
Abstract: With the continuous improvement and maturity of recognition technology, the application in various fields
is also more and more widespread. Based on the manual test in the traditional test, there are many defects.
The automatic identification device can directly obtain the number and input it into the system. This method
avoids the situation of the original wrong number and the heavy number, improves the correctness of the
number and the working efficiency. However, when the numbers are not clear, there are still some cases of
mistaken identification. Now, the automatic identification method is improved. Combined with manual
signal transmission, the improved method solves the mistaken identification of unclear numbers.
1 INTRODUCTION
Automatic identification technology is through
identification technology to automatically obtain the
relevant information of the required items, and then
provide background processing and complete the
corresponding steps of a technology. Automatic
identification technology includes bar code reading,
RFID, biometrics (face, speech, fingerprint, vein),
image recognition and OCR optical character
recognition. It has been widely used in medical
industry, transportation industry and education
industry.
Automatic identification(Mehtre, 1993; Cava,
2016) through image processing(Milan, 2008; Yang,
2011; Matsuyama, 2016) to obtain the number.
Through the image acquisition, the camera captured
the picture into the background, after image
positioning, segmentation of the number, after the
binary preprocessing and character segmentation, to
be a single number to be identified, and then use the
pattern recognition method to identify. After the
sample is tested, the desired identification number is
finally obtained by means of acquisition and
identification.
2 AUTOMATIC IDENTIFICATION
OF THE BASIC PROCESS
Depending on the type of sample, first click Start
to start the automated test procedure. After the test is
completed, the corresponding personnel need to take
samples and obtain the corresponding number, fill in
the appropriate dialog box.
In response to a series of problems encountered in
the existing test of a certain sample (each
corresponding sample needs to be key-pressed
according to the existing serial number, the input
serial number will occupy most of the time, and the
long-time input serial number will appear. Work
fatigue, and this fatigue work led to the wrong
input), the existing sample number of zero to nine
combined four-digit, will test the manual input
number of this method is improved. The following
figure for the original manual identification process,
Figure II is the automatic identification process.
Chen, J., Zhu, X. and Wang, X.
Improved Method of Number Identification Device for Some Kind of Circuit Test.
In 3rd International Conference on Electromechanical Control Technology and Transportation (ICECTT 2018), pages 9-12
ISBN: 978-989-758-312-4
Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
9
Figure I
Figure II
The original mode, start the test program, the
current sample test after the completion of the need
to manually read the sample number and sample
number input in the corresponding test system
interface, the current sample test completed and
enter the serial number is completed, the next
sample carry out testing. In the traditional test, this
test input number after the work is very
cumbersome, which we will join the automatic
identification(Shimizu, 2016) number of modules,
improve the correctness of the input while
improving work efficiency. After adding the
automatic identification module, the original test
module remains unchanged, only the number of the
sample needs to be identified at the same time when
the sample to be tested is tested. After obtaining the
serial number, it will be displayed whether the
sample is qualified or not. The qualified and the
unqualified will be automatically placed separately.
Improved method to automatically identify the
number, automatically enter and calculate, will not
be the wrong number, weight number of the
situation, it is also more convenient to use.
3 WORKING PRINCIPLE
DIAGRAM
In the whole test process is divided into sample
performance parameter acquisition, sample number
acquisition, data storage. The working principle of
the device based on the input device shown in Figure
III . At this point the performance parameters and
sample information colleagues, click on the start will
trigger the two module functions. The new front-end
number acquisition module can obtain the sample
information, collect the sample number and image
processing(Teknomo, 2016)
through the camera,
convert the image into digital through processing,
and the obtained data can be directly displayed in the
corresponding box interface in the screen and stored
in the corresponding database .
Figure III
ICECTT 2018 - 3rd International Conference on Electromechanical Control Technology and Transportation
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4 PRINCIPLE IMPROVEMENT
Automatic identification(Lima, 2013; Yuqian, 2014)
device or there is a recognition error, in order to
avoid mistaken identification unclear number,
improve the original identification method. In the
original recognition module, the combination of
manual recognition and automatic identification,
when encountered fonts are not clear, it will
automatically prompt the human identification, Can
identify the case, automatic use of automatic
identification(Pantic, 2017; Russell, 2016). The
specific process as shown in Figure IV.
Figure IV
As can be seen in the figure, after starting the
program, the test program will synchronize with the
identification module, and when the acquired serial
number is not clear, the error is identified. Figure Ⅴ ,
the use of automatic identification of the numbers
read out 1726479 and 1719151, respectively, if
manually access, and soon be able to identify the
picture number should be 1726499 and 1719154.
After the manual identification number, pop-up
dialog box will need to manually fill in the
corresponding number; when the captured image
number is clear, it will automatically enter the
number, no longer need to enter the dialog box out
of the number.
Figure Ⅴ
5 CONCLUSIONS
Automatic signaling device to improve the
efficiency of the original test, greatly reducing the
original error number and weight of the situation. If
the sample number is not clear, it will lead to
recognition error. In the case of ensuring the sample
number font specification, the identification number
can be consistent with the actual number. Image
recognition module still exists in the picture
recognition is not correct, the image recognition
technology is not yet intelligent for special
circumstances, so the need for further research
image processing technology, the combination of
artificial and intelligent(Timms, 2016; Sombattheera,
2016), to achieve seamless convergence of
operations .
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