CN113658532A - Screen touch method and system of MIPI (Mobile industry processor interface) screen - Google Patents
Screen touch method and system of MIPI (Mobile industry processor interface) screen Download PDFInfo
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- CN113658532A CN113658532A CN202110776043.9A CN202110776043A CN113658532A CN 113658532 A CN113658532 A CN 113658532A CN 202110776043 A CN202110776043 A CN 202110776043A CN 113658532 A CN113658532 A CN 113658532A
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- 238000013528 artificial neural network Methods 0.000 claims description 7
- 238000012360 testing method Methods 0.000 abstract description 3
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- 238000013473 artificial intelligence Methods 0.000 description 1
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/006—Electronic inspection or testing of displays and display drivers, e.g. of LED or LCD displays
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
- G09G5/003—Details of a display terminal, the details relating to the control arrangement of the display terminal and to the interfaces thereto
- G09G5/006—Details of the interface to the display terminal
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Abstract
The invention relates to the technical field of screen testing, and discloses a screen dotting method and a screen dotting system for an MIPI (Mobile industry processor interface), wherein a computer intelligent screen dotting mode is used for replacing a traditional manual screen dotting mode, so that the screen dotting efficiency can be greatly improved, and meanwhile, when the screen types are more, the screen dotting efficiency can be improved, the screen dotting errors can be reduced, and the screen dotting accuracy is improved.
Description
Technical Field
The invention relates to the technical field of screen testing, in particular to a screen touch method and a screen touch system for an MIPI (mobile industry processor interface) screen.
Background
And the screen pointing means that a debugging person writes codes according to a screen specification provided by a screen manufacturer and debugs a screen so that the screen can be normally displayed. At present, a mainstream screen is divided into an RGB _ TTL interface, an LVDS interface and an MIPI interface, and since production processes of manufacturers and user requirements are different, screens are also different, so that a point screen is always turned on by a debugging person after receiving the requirements.
However, the mode efficiency of manually pointing the screen through debugging personnel is lower, and because the type of the screen is different, and then the parameters of the normal display of the screen are different, pointing the screen through the mode of artificial naked eyes can lead to the error to be larger, and the accuracy is lower.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a screen dotting method and a screen dotting system of an MIPI interface screen, which can replace manual work, further improve the screen dotting efficiency, reduce errors and improve the screen dotting accuracy.
The purpose of the invention is realized by the following technical scheme:
a screen touch method of an MIPI screen comprises the following steps:
s100, acquiring screen specification data, receiving a screen number, and performing retrieval operation on the screen number;
s200, performing character recognition operation on the screen specification data to generate a point screen parameter to be measured, comparing the point screen parameter to be measured with a preset point screen parameter, and extracting a parameter value in the point screen parameter to be measured;
s300, compiling the parameter values to generate to-be-clicked file data;
s400, generating a display request according to the to-be-clicked file data, receiving image data, comparing the image data with the preset image, and generating clicked screen backup file data.
In one embodiment, the retrieving operation specifically includes the following steps:
inquiring the screen number, judging whether the screen number has the clicked screen file data corresponding to the screen number, if so, executing the step S300; if not, step S200 is executed.
In one embodiment, the screen parameters to be measured include screen resolution data, synchronization data and blanking data.
In one embodiment, in the step S200, the method further includes the following steps:
and establishing a neural network according to the screen parameters of the points to be measured, and fitting a probability distribution model.
In one embodiment, the step S400 specifically includes the following steps:
analyzing the image data, generating color difference image data and brightness difference image data, comparing the color difference image data and the brightness difference image data with the preset image respectively to judge whether an error exists, if not, generating the point screen backup file data, if so, generating an error value, judging whether the error value exceeds a threshold value, and if so, generating screen specification error data.
A point-screen system of a MIPI interface screen, comprising:
the receiving module is used for acquiring the screen specification data, receiving the screen number and carrying out retrieval operation on the screen number;
the identification module is used for carrying out character identification operation on the screen specification data to generate screen parameters of the points to be measured;
the comparison module is used for comparing the screen parameters to be measured with preset screen parameters and extracting parameter values in the screen parameters to be measured; the comparison module is also used for generating a display request according to the to-be-clicked screen file data, receiving image data, comparing the image data with the preset image and generating click screen backup file data; and
and the compiling module is used for compiling the parameter values to generate the data of the screen to be clicked.
In one embodiment, the device further comprises an analysis module, wherein the analysis module is used for establishing a neural network and fitting a probability distribution model according to the screen parameters of the points to be measured.
Compared with the prior art, the invention has the following advantages and beneficial effects:
the invention relates to a screen dotting method and a screen dotting system for an MIPI (Mobile industry processor interface) screen, which can greatly improve the screen dotting efficiency by replacing the manual screen dotting mode by using the intelligent screen dotting mode of a computer, and meanwhile, when the types of the screens are more, the screen dotting efficiency can be improved, the screen dotting errors can be reduced by using the intelligent screen dotting mode, so that the screen dotting accuracy is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart illustrating steps of a screen dotting method of an MIPI interface screen according to an embodiment of the present invention;
fig. 2 is a functional block diagram of a pointing screen system of a MIPI interface screen according to an embodiment of the present invention.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only and do not represent the only embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
A screen touch method of an MIPI screen comprises the following steps:
s100, acquiring screen specification data, receiving a screen number, and performing retrieval operation on the screen number;
s200, performing character recognition operation on the screen specification data to generate a point screen parameter to be measured, comparing the point screen parameter to be measured with a preset point screen parameter, and extracting a parameter value in the point screen parameter to be measured;
s300, compiling the parameter values to generate to-be-clicked file data;
s400, generating a display request according to the file data to be clicked, receiving the image data, comparing the image data with a preset image, and generating the data of the click screen backup file.
To better illustrate the dot screen method of the MIPI interface screen, for example:
and S100, acquiring the screen specification data, receiving the screen number, and performing retrieval operation on the screen number.
Specifically, the search operation includes the following steps:
inquiring the screen number, judging whether the screen number has the clicked screen file data corresponding to the screen number, if so, executing the step S300; if not, go to step S200
It should be noted that the screen specification data is a screen specification, and the screen number refers to a type of display screen, and there may be multiple types of display screens in the present application. Further, the screen specification is firstly imported into the system, and meanwhile, the screen number is uploaded to a cloud-end database for retrieval so as to judge whether the display screen is clicked before, and if so, the corresponding screen clicking backup file data is found and downloaded and burned to the development board. The screen dotting operation is carried out, so that the screen dotting efficiency is improved; and if not, performing screen clicking step by step according to the steps.
Step S200, performing character recognition operation on the screen specification data to generate a point screen parameter to be measured, comparing the point screen parameter to be measured with a preset point screen parameter, and extracting a parameter value in the point screen parameter to be measured.
S300, compiling the parameter values to generate the data of the screen to be clicked.
It should be noted that the step is to extract the key parameters in the screen specification, fill the key parameters in the code frame automatically generated according to the algorithm, and lay the key parameters for the next compiling operation.
S400, generating a display request according to the file data to be clicked, receiving the image data, comparing the image data with a preset image, and generating the data of the click screen backup file.
Preferably, step S400 specifically includes the following steps:
analyzing the image data, generating color difference image data and brightness difference image data, comparing the color difference image data and the brightness difference image data with a preset image respectively to judge whether an error exists, if not, generating point screen backup file data, if so, generating an error value, judging whether the error value exceeds a threshold value, and if so, generating screen specification error data.
Step S400 is a test mode. The computer can enable the screen to sequentially display pictures with various colors and various brightnesses, the artificial intelligence inputs images with various colors and brightnesses displayed on the screen, namely color difference image data and brightness difference image data, into the database through the camera, and compares the data with a preset image, wherein the preset image is an image with a display screen display standard to obtain an error value, if the error value does not exceed a threshold range, the screen dotting is successful, screen dotting backup file data are generated and uploaded to the database, and the screen dotting is convenient for the next screen numbering with the same type. If the error value exceeds the threshold value, the screen specification is wrong, so that whether the screen specification is wrong or not can be judged according to the actual condition of the point screen.
Preferably, the screen parameters to be measured include screen resolution data, synchronization data and blanking data. It should be noted that the synchronization data includes line synchronization data for making the electron gun controller know that a new line of pixels is to be started next, and field synchronization data for telling the electron gun controller that a new picture is to be started next. The blanking data comprises line blanking data and field blanking data, the line blanking data refers to a returning process between lines, after a scanning point scans a frame, the scanning point needs to return to the upper left corner of the image from the lower right corner of the image, and a new frame is scanned; the vertical blanking data is a complete picture scanning signal, which is composed of a sequence of line signals separated by horizontal blanking intervals, and is called a frame. After scanning one frame, the scanning point returns from the lower right corner of the image to the upper left corner of the image, and starts scanning a new frame, and the time interval is field blanking.
Further, in an embodiment, in step S200, the method further includes the following steps:
and establishing a neural network according to the screen parameters of the points to be measured, and fitting a probability distribution model.
It should be noted that the neural network is a distribution model which is fitted with different probabilities through data, and the accuracy of the point screen is continuously improved through continuously learning and collecting samples of the screen and then a fitting algorithm.
Therefore, the screen dotting method of the MIPI screen can greatly improve the screen dotting efficiency by replacing the manual screen dotting mode by the intelligent screen dotting mode of a computer, meanwhile, when the screen types are more, the screen dotting efficiency can be improved, the screen dotting error can be reduced, and the screen dotting accuracy is improved.
Referring to fig. 2, a point screen system 10 of a MIPI interface screen includes: the system comprises a receiving module 100, an identification module 200, a comparison module 300 and a compiling module 400, wherein the receiving module 100 is used for acquiring screen specification data, receiving a screen number and carrying out retrieval operation on the screen number; the recognition module 200 is used for performing character recognition operation on the screen specification data to generate screen parameters of the point to be measured; the comparison module 300 is used for comparing the screen parameters of the points to be measured with the preset screen parameters of the points to be measured and extracting the parameter values in the screen parameters of the points to be measured; the comparison module 300 is further configured to generate a display request according to the to-be-clicked screen file data, receive the image data, compare the image data with a preset image, and generate clicked screen backup file data; the compiling module 400 is configured to perform compiling operation on the parameter values to generate to-be-clicked file data.
Preferably, the point screen system of the MIPI interface screen further includes an analysis module, and it should be noted that the analysis module is configured to establish a neural network and fit a probability distribution model according to the point screen parameters to be measured.
It should be further noted that the system is used for implementing all steps in the screen clicking method of the MIPI interface screen.
The above embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (7)
1. A screen touch method of an MIPI screen is characterized by comprising the following steps:
s100, acquiring screen specification data, receiving a screen number, and performing retrieval operation on the screen number;
s200, performing character recognition operation on the screen specification data to generate a point screen parameter to be measured, comparing the point screen parameter to be measured with a preset point screen parameter, and extracting a parameter value in the point screen parameter to be measured;
s300, compiling the parameter values to generate to-be-clicked file data;
s400, generating a display request according to the to-be-clicked file data, receiving image data, comparing the image data with the preset image, and generating clicked screen backup file data.
2. The screen touch method of the MIPI interface screen according to claim 1, wherein the retrieving operation is specifically the following steps:
inquiring the screen number, judging whether the screen number has the clicked screen file data corresponding to the screen number, if so, executing the step S300; if not, step S200 is executed.
3. The dot screen method of the MIPI interface screen, according to claim 1, wherein said dot screen parameters to be measured include screen resolution data, synchronization data and blanking data.
4. The screen touch method of the MIPI interface screen according to claim 1, wherein in the step S200, the following steps are further specifically included:
and establishing a neural network according to the screen parameters of the points to be measured, and fitting a probability distribution model.
5. The screen touch method of the MIPI interface screen according to claim 1, wherein the step S400 specifically includes the steps of:
analyzing the image data, generating color difference image data and brightness difference image data, comparing the color difference image data and the brightness difference image data with the preset image respectively to judge whether an error exists, if not, generating the point screen backup file data, if so, generating an error value, judging whether the error value exceeds a threshold value, and if so, generating screen specification error data.
6. A point screen system of MIPI interface screen, comprising:
the receiving module is used for acquiring the screen specification data, receiving the screen number and carrying out retrieval operation on the screen number;
the identification module is used for carrying out character identification operation on the screen specification data to generate screen parameters of the points to be measured;
the comparison module is used for comparing the screen parameters to be measured with preset screen parameters and extracting parameter values in the screen parameters to be measured; the comparison module is also used for generating a display request according to the to-be-clicked screen file data, receiving image data, comparing the image data with the preset image and generating click screen backup file data; and
and the compiling module is used for compiling the parameter values to generate the data of the screen to be clicked.
7. The point screen system of the MIPI interface screen according to claim 6, further comprising an analysis module, wherein the analysis module is used for establishing a neural network and fitting a probability distribution model according to the parameters of the point screen to be measured.
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