CN116012308A - Display screen quality detection method, device and storage medium - Google Patents

Display screen quality detection method, device and storage medium Download PDF

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Publication number
CN116012308A
CN116012308A CN202211610027.3A CN202211610027A CN116012308A CN 116012308 A CN116012308 A CN 116012308A CN 202211610027 A CN202211610027 A CN 202211610027A CN 116012308 A CN116012308 A CN 116012308A
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Prior art keywords
screen
display screen
display
detection
quality
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聂伟峰
韩景泉
刘洋
庞锡菊
熊永照
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Shenzhen Skyworth Automobile Intelligence Co ltd
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Shenzhen Skyworth Automobile Intelligence Co ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The application discloses a display screen quality detection method, equipment and a storage medium, and relates to the technical field of display screens, wherein the method comprises the following steps: if a quality detection request signal of each display screen to be detected is received, performing on-off detection on each display screen to be detected to obtain a corresponding on-off detection result; based on the detection results of the on-off operation, controlling cameras corresponding to the display screens to be detected to acquire images, and obtaining corresponding display screen images; acquiring the image similarity of each display screen image, and performing screen detection on the corresponding display screen to be detected according to each image similarity to obtain a corresponding screen detection result; and determining the quality grade of the corresponding display screen to be detected according to the screen detection results and the on-off detection results. The technical problem that the quality detection accuracy of the existing display screen is low is solved.

Description

Display screen quality detection method, device and storage medium
Technical Field
The application relates to the technical field of display screens, in particular to a display screen quality detection method, a display screen quality detection device and a storage medium.
Background
Along with the development of technology, the information display technology has increased in the life of people, and the display screen is widely applied due to the characteristics of small volume, light weight, low power, high resolution, high brightness and no geometric deformation, so the requirement on the quality of the display screen is also higher and higher.
At present, the quality detection of the display screen mainly adopts a manual detection method, specifically, the manual detection method refers to that whether a display fault exists in a display screen entity or not is observed by naked eyes on a production line by a technician, so that the quality evaluation of the display screen is carried out, however, the method is greatly influenced by human subjective factors, and the accuracy of the quality detection of the display screen is low.
Disclosure of Invention
The main purpose of the application is to provide a display screen quality detection method, a device and a storage medium, which aim to solve the technical problem of low accuracy of the existing display screen quality detection.
In order to achieve the above object, the present application provides a display quality detection method, which is applied to quality detection equipment, and the display quality detection method includes:
if a quality detection request signal of each display screen to be detected is received, performing on-off detection on each display screen to be detected to obtain a corresponding on-off detection result;
Based on the detection results of the on-off operation, controlling cameras corresponding to the display screens to be detected to acquire images, and obtaining corresponding display screen images;
acquiring the image similarity of each display screen image, and performing screen detection on the corresponding display screen to be detected according to each image similarity to obtain a corresponding screen detection result;
and determining the quality grade of the corresponding display screen to be detected according to the screen detection results and the on-off detection results.
Optionally, the screen detection result includes a black screen detection result and a splash screen detection result, and the step of performing screen detection on the corresponding display screen to be detected according to the similarity of each image to obtain the corresponding screen detection result includes:
detecting whether a corresponding display screen to be detected has a black screen or not according to the similarity of the images;
if the black screen appears, recording the current black screen picture of the display screen to be detected and the corresponding first timestamp as the black screen detection result, and carrying out black screen early warning;
if the black screen does not appear, detecting whether the corresponding display screen to be detected appears a screen pattern according to the similarity of the images;
and if the screen is in the screen display state, recording the current screen display picture of the display screen to be detected and the corresponding second timestamp as the screen display detection result, and carrying out screen display early warning.
Optionally, the on-off detection result includes on-off time length information and on-off stability information, and the step of determining the quality grade of the corresponding display screen to be detected according to each screen detection result and each on-off detection result includes:
acquiring black screen frequency information corresponding to each black screen detection result and flower screen frequency information corresponding to each flower screen detection result;
and matching the quality grade of the corresponding display screen to be detected in a preset quality evaluation table according to the black screen frequency information, the screen pattern frequency information, the on-off time length information and the on-off stability information.
Optionally, the step of detecting whether the corresponding display screen to be detected has a black screen according to the similarity of the images includes:
detecting whether the similarity of each image is larger than a preset first similarity;
if yes, judging that the corresponding display screen to be tested does not have a black screen;
if not, judging that the corresponding display screen to be tested is black.
Optionally, the step of detecting whether the corresponding display screen to be detected has a splash screen according to the similarity of the images includes:
detecting whether the similarity of each image is larger than a preset second similarity;
If yes, judging that the corresponding display screen to be tested does not have a screen pattern;
if not, judging that the corresponding display screen to be tested has a screen pattern.
Optionally, after the step of determining the quality level of the corresponding display screen to be tested according to the screen detection results and the on-off detection results, the method further includes:
packaging screen detection results corresponding to the display screens to be tested, corresponding on-off detection results and corresponding quality grades to obtain data packets;
and sending the data packet to a preset display platform, wherein the preset display platform is used for visually displaying the data packet.
Optionally, the step of controlling the cameras corresponding to the display screens to be tested to collect images based on the detection results of the switching on/off of the display screens to obtain images of the display screens includes:
starting a waiting mode based on each switching on/off detection result;
acquiring the waiting time length corresponding to the waiting mode, and detecting whether the waiting time length reaches a preset waiting time length or not;
if yes, controlling each camera to acquire images, and acquiring corresponding display screen images.
Optionally, the step of obtaining the image similarity of each display screen image includes:
Detecting whether each display screen image is a preset normal display screen image or not;
if yes, similarity detection is carried out on each display screen image, and corresponding image similarity is obtained;
if not, carrying out system early warning.
In addition, in order to achieve the above object, the present application further provides a display screen quality detection apparatus, applied to a quality detection device, the display screen quality detection apparatus includes:
the on-off detection module is used for carrying out on-off detection on each display screen to be detected if a quality detection request signal of each display screen to be detected is received, so as to obtain a corresponding on-off detection result;
the image acquisition module is used for controlling cameras corresponding to the display screens to be detected to acquire images based on the detection results of the switching on and switching off, so as to obtain corresponding display screen images;
the screen detection module is used for acquiring the image similarity of each display screen image, and carrying out screen detection on the corresponding display screen to be detected according to each image similarity to obtain a corresponding screen detection result;
and the quality analysis module is used for determining the quality grade of the corresponding display screen to be detected according to the screen detection results and the on-off detection results.
Optionally, the screen detection module is further configured to:
detecting whether a corresponding display screen to be detected has a black screen or not according to the similarity of the images;
if the black screen appears, recording the current black screen picture of the display screen to be detected and the corresponding first timestamp as the black screen detection result, and carrying out black screen early warning;
if the black screen does not appear, detecting whether the corresponding display screen to be detected appears a screen pattern according to the similarity of the images;
and if the screen is in the screen display state, recording the current screen display picture of the display screen to be detected and the corresponding second timestamp as the screen display detection result, and carrying out screen display early warning.
Optionally, the mass analysis module is further configured to:
acquiring black screen frequency information corresponding to each black screen detection result and flower screen frequency information corresponding to each flower screen detection result;
and matching the quality grade of the corresponding display screen to be detected in a preset quality evaluation table according to the black screen frequency information, the screen pattern frequency information, the on-off time length information and the on-off stability information.
Optionally, the screen detection module is further configured to:
detecting whether the similarity of each image is larger than a preset first similarity;
If yes, judging that the corresponding display screen to be tested does not have a black screen;
if not, judging that the corresponding display screen to be tested is black.
Optionally, the screen detection module is further configured to:
detecting whether the similarity of each image is larger than a preset second similarity;
if yes, judging that the corresponding display screen to be tested does not have a screen pattern;
if not, judging that the corresponding display screen to be tested has a screen pattern.
Optionally, the display screen quality detection device is further configured to:
packaging screen detection results corresponding to the display screens to be tested, corresponding on-off detection results and corresponding quality grades to obtain data packets;
and sending the data packet to a preset display platform, wherein the preset display platform is used for visually displaying the data packet.
Optionally, the image acquisition module is further configured to:
starting a waiting mode based on each switching on/off detection result;
acquiring the waiting time length corresponding to the waiting mode, and detecting whether the waiting time length reaches a preset waiting time length or not;
if yes, controlling each camera to acquire images, and acquiring corresponding display screen images.
Optionally, the screen detection module is further configured to:
Detecting whether each display screen image is a preset normal display screen image or not;
if yes, similarity detection is carried out on each display screen image, and corresponding image similarity is obtained;
if not, carrying out system early warning.
The application also provides a display screen quality detection equipment, display screen quality detection includes: the display quality detection method comprises the steps of a memory, a processor and a display quality detection program which is stored in the memory and can run on the processor, wherein the display quality detection program is executed by the processor to realize the display quality detection method.
The present application further provides a readable storage medium, on which a display quality detection program is stored, which when executed by a processor implements the steps of the display quality detection method as described above.
The present application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of a display quality detection method as described above.
Compared with the existing method for detecting the quality of the display screen by adopting manual detection, the method for detecting the quality of the display screen by adopting the device comprises the steps that firstly, if quality detection request signals of all display screens to be detected are received, on-off detection is carried out on all the display screens to be detected, and corresponding on-off detection results are obtained; based on the detection results of the on-off operation, controlling cameras corresponding to the display screens to be detected to acquire images, and obtaining corresponding display screen images; acquiring the image similarity of each display screen image, and performing screen detection on the corresponding display screen to be detected according to each image similarity to obtain a corresponding screen detection result; and determining the quality grade of the corresponding display screen to be detected according to the screen detection results and the on-off detection results. According to the method and the device, the quality detection equipment is used for simultaneously carrying out on-off detection and screen detection on the plurality of display screens to be detected, and the quality grade of each display screen to be detected is analyzed according to the obtained screen detection result and the on-off detection result, so that the purpose of carrying out the quality detection of the display screens without manual work is achieved, the technical defect that the quality detection accuracy of the display screens is low due to the fact that the manual detection is greatly influenced by human subjective factors is overcome, and therefore the accuracy of the quality detection of the display screens is improved.
Drawings
FIG. 1 is a schematic flow chart of a first embodiment of a method for detecting quality of a display screen according to the present application;
fig. 2 is a schematic diagram of a quality detection device and a preset display platform involved in the display screen quality detection method of the present application;
FIG. 3 is a schematic diagram of a similarity detection flow involved in the display quality detection method of the present application;
fig. 4 is a schematic diagram of a power on/off detection flow involved in the display screen quality detection method of the present application;
FIG. 5 is a schematic diagram of a preset quality evaluation involved in the display quality detection method of the present application;
FIG. 6 is a schematic view of a display screen quality detection method according to the present application;
FIG. 7 is a schematic diagram of a display quality detection apparatus involved in the display quality detection method of the present application;
fig. 8 is a schematic diagram of a device structure of a hardware operating environment involved in the method for detecting quality of a display screen in the present application.
The realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments, referring to the attached drawings.
Detailed Description
In order to make the above objects, features and advantages of the present application more comprehensible, the following description will make the technical solutions of the embodiments of the present application clear and complete with reference to the accompanying drawings of the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, based on the embodiments herein, which are within the scope of the protection of the present application, will be within the purview of one of ordinary skill in the art without the exercise of inventive faculty.
At present, a manual detection method is mainly adopted for the quality detection of the display screen. Specifically, the manual detection method refers to that whether a display screen entity has a display fault or not is observed by naked eyes on a production line by a technician, so that the quality evaluation of the display screen is performed, however, the method is greatly influenced by human subjective factors, and the accuracy of the quality detection of the display screen is low.
In a first embodiment of the display screen quality detection method of the present application, referring to fig. 1, the display screen quality detection method includes:
step S10, if a quality detection request signal of each display screen to be detected is received, on-off detection is carried out on each display screen to be detected, and a corresponding on-off detection result is obtained;
step S20, based on the detection results of the on-off operation, controlling cameras corresponding to the display screens to be detected to acquire images, and obtaining corresponding display screen images;
step S30, obtaining the image similarity of each display screen image, and carrying out screen detection on the corresponding display screen to be detected according to each image similarity to obtain a corresponding screen detection result;
And S40, determining the quality grade of the corresponding display screen to be tested according to the screen detection results and the on-off detection results.
In this embodiment, it should be noted that, referring to fig. 2, the quality detection device may include a test platform G110, the camera G120, a power control G130, and the display screen G140 to be tested, where the test platform may be a SkyRobot automatic test platform, where the test platform is used to control the power control to perform cyclic power on/off, the camera is used to capture display screen images of the display screens to be tested, and the quality detection device may detect the display screen quality of a plurality of display screens to be tested at the same time, that is, the quality detection device may set the same number of cameras and the same number of power switches as the display screens to be tested at the same time, in fig. 2, only two display screens to be tested are listed, and in order to further ensure accuracy of quality detection of the display screens, thousands of on/off detection and screen detection may be performed on each display screen to be tested; the switching on/off detection result can comprise switching on/off time length information and switching on/off stability information, and is used for representing switching on/off performance of each display screen to be detected; the image similarity can be understood as an evaluation index of the quality of the display screen, and is used for performing screen detection on the display screen to be detected, namely judging whether the display screen to be detected has a black screen or a patterned screen.
As an example, steps S10 to S40 include: if the display screens to be detected are detected to be placed on the detection platform, the quality detection request signals can be triggered by clicking a start detection button on the detection platform, and when the quality detection request signals are received by the test platform, power control corresponding to the display screens to be detected are controlled to carry out circulating power on-off so as to carry out on-off detection, and corresponding on-off duration information and corresponding on-off stability information are obtained; if the display screens to be tested are started normally, controlling cameras corresponding to the display screens to be tested to shoot images, and obtaining corresponding display screen starting images; invoking a third party test library such as sikuli, directly calculating the image similarity of each display screen image, and carrying out screen detection on the corresponding display screen to be detected according to each image similarity so as to judge whether the display screen to be detected has a black screen or a flower screen, thereby obtaining a corresponding screen detection result, wherein the screen detection result comprises a black screen detection result and a flower screen detection result; obtaining the black screen frequency information corresponding to the black screen detection result, and inquiring the corresponding quality grade in a preset quality evaluation table according to the black screen frequency information, the flower screen frequency information, the on-off time length information and the on-off stability information, wherein the quality grade is obtained according to four evaluation indexes including the black screen frequency information, the flower screen frequency information, the on-off time length information and the on-off stability information, and can comprise high quality, medium quality and low quality.
The screen detection result comprises a black screen detection result and a splash screen detection result, and the step of carrying out screen detection on the corresponding display screen to be detected according to the image similarity to obtain the corresponding screen detection result comprises the following steps:
the step of controlling cameras corresponding to the display screens to be detected to acquire images based on the on-off detection results to obtain images of the display screens comprises the following steps:
step S21, starting a waiting mode based on each switching on/off detection result;
step S22, obtaining the waiting time length corresponding to the waiting mode, and detecting whether the waiting time length reaches a preset waiting time length or not;
and S23, if yes, controlling each camera to acquire an image, and acquiring a corresponding display screen image.
In this embodiment, it should be noted that, since other images, such as a product LOGO image, will appear on the display screen to be tested in the starting process, and the display screen image collected in this embodiment is a display screen starting image, that is, an initial image of the display screen to be tested after normal starting, only after the user performs remote control or language operation, the initial image will change, so as to further ensure accuracy of quality detection of the display screen, in this embodiment, a preset waiting period is set, and a purpose of ensuring that the captured display screen image is the initial image is achieved.
As an example, steps S21 to S23 include: if the detection results of the on-off states are obtained, and the display screens to be detected are normally started at the moment, starting a waiting mode, wherein the waiting mode refers to that the quality detection equipment pauses a quality detection flow until waiting time corresponding to the waiting mode reaches preset waiting time, and the preset waiting time is a time experience value set by a person skilled in the art according to the product performance of the display screens to be detected, namely, how long an initial image can appear on the display screens to be detected; and when the waiting time length reaches the preset waiting time length, starting a subsequent quality detection flow, namely controlling each camera to acquire images, and acquiring corresponding display screen images.
For example, assuming that the preset waiting time is 75 seconds, when the display screen 1 to be tested is started normally, the detection platform enters a waiting mode until the waiting time reaches 75 seconds, and the camera corresponding to the display screen 1 to be tested is controlled to shoot the display screen image.
The step of obtaining the image similarity of each display screen image comprises the following steps:
step S31, detecting whether each display screen image is a preset normal display screen image;
Step S32, if yes, similarity detection is carried out on each display screen image, and corresponding image similarity is obtained;
and step S33, if not, performing system early warning.
In this embodiment, it should be noted that, before performing the similarity detection, it is required to determine whether each display screen image is a preset normal display screen image, if each display screen image is displayed abnormally, for example, the displayed image is incomplete or a black-and-white image is displayed, to indicate that at this time, the display fault occurs in each display screen to be detected, and then early warning is directly performed, and the specific flow can refer to fig. 3, and no subsequent similarity detection is performed, so that storage resources for quality detection are saved, and efficiency of quality detection of the display screen is improved; the preset normal display screen image is an initial picture image of the display screen to be tested after normal startup.
As an example, step S31 to step S33 include: comparing each display screen image with the preset normal display screen image to detect whether each display screen image is the preset normal display screen image or not; if yes, the display screens are normally started, and similarity detection is carried out on the images of the display screens to obtain corresponding image similarity; if not, indicating that the display fault occurs in each display screen at the moment, and carrying out system early warning.
Step S34, detecting whether a corresponding display screen to be detected has a black screen or not according to the similarity of the images;
step S35, if the black screen appears, recording the current black screen picture of the display screen to be detected and the corresponding first timestamp as the black screen detection result, and carrying out black screen early warning;
step S36, if no black screen appears, detecting whether a corresponding display screen to be detected appears a screen according to the similarity of the images;
and step S37, if the screen is in the presence, recording the current screen display picture of the display screen to be detected and the corresponding second timestamp as the screen display detection result, and carrying out screen display early warning.
As an example, steps S34 to S37 include: detecting whether a corresponding display screen to be detected appears in a black screen or not according to the image similarity and a preset first similarity, wherein the preset first similarity is a similarity value of the black screen which is preset according to iteration information and product performance of the display screen to be detected, and the similarity value is an empirical value and can be adjusted according to actual conditions; if the black screen appears, recording a current black screen picture of the display screen to be detected and a corresponding first timestamp as the black screen detection result, sending mails to related managers for early warning, and carrying out light early warning or voice broadcasting early warning, wherein the early warning form is not limited, and the first timestamp refers to the current time corresponding to the current black screen picture; if no black screen appears, further detecting whether a corresponding display screen to be detected appears a splash screen according to the image similarity and a preset second similarity, wherein the second similarity value is a similarity value indicating that the splash screen appears, and the specific meaning of the second similarity value is the same as that of the preset first similarity value; if the screen is in a pattern, recording a current screen pattern of the display screen to be detected and a corresponding second timestamp as a screen pattern detection result, and sending mails to related managers for screen pattern early warning, wherein the second timestamp is the current time corresponding to the current screen pattern, and if the screen pattern is not in the current time, the display screen to be detected is in a black screen or a pattern, and the display screen to be detected is normal.
The step of detecting whether the corresponding display screen to be detected has a black screen or not according to the similarity of the images comprises the following steps:
step S311, detecting whether the similarity of each image is larger than a preset first similarity;
step S312, if yes, judging that the corresponding display screen to be tested does not have a black screen;
step S313, if not, judging that the corresponding display screen to be tested is black.
As an example, step S311 to step S313 include: detecting whether the similarity of each image is larger than a preset first similarity; if the similarity of each image is larger than the preset first similarity, judging that the corresponding display screen to be tested does not have a black screen, and further detecting whether the display screen to be tested has a pattern screen or not; if the image similarity is smaller than or equal to the preset first similarity, judging that the corresponding display screen to be tested is black, recording the current black screen picture and the corresponding first timestamp, and carrying out early warning.
For example, referring to fig. 4, assuming that the preset first similarity is 0.7 or 70%, if the image similarity of the display screen 1 to be measured is calculated to be 0.65 and smaller than 0.7, it is determined that the display screen 1 to be measured has a black screen, and the black screen picture and the current computer time at that time are recorded and early warning is performed; if the image similarity of the display screen 1 to be detected is calculated to be 0.8 and is larger than 0.7, judging that the display screen 1 to be detected does not have a black screen, and further detecting whether the display screen 1 to be detected has a patterned screen or not.
The step of detecting whether the corresponding display screen to be detected has a screen pattern according to the similarity of the images comprises the following steps:
step S331, detecting whether the similarity of each image is larger than a preset first similarity;
step S332, if yes, judging that the corresponding display screen to be tested does not have a black screen;
step S333, if not, judging that the corresponding display screen to be tested is black.
As an example, steps S331 to S333 include: detecting whether the similarity of each image is larger than a preset second similarity; if the similarity of each image is larger than the preset second similarity, judging that the corresponding display screen to be tested does not have a black screen, and further detecting whether the display screen to be tested has a pattern screen or not; if the image similarity is smaller than or equal to the preset first similarity, judging that the corresponding display screen to be tested is black, recording the current black screen picture and the corresponding first timestamp, and carrying out early warning.
For example, referring to fig. 4, assuming that the preset second similarity is 0.94 or 94%, if the image similarity of the display screen 1 to be measured is calculated to be 0.8 and less than 0.94, determining that the display screen 1 to be measured has a screen pattern, recording the screen pattern picture and the current computer time at that time, and performing early warning; if the image similarity of the display screen 1 to be measured is calculated to be 0.99 and is larger than 0.94, judging that the display screen 1 to be measured does not have a screen pattern, and indicating that the display screen 1 to be measured is normal.
The on-off detection result comprises on-off time length information and on-off stability information, and the step of determining the quality grade of the corresponding display screen to be detected according to the screen detection results and the on-off detection results comprises the following steps:
step S41, obtaining the black screen frequency information corresponding to each black screen detection result and the flower screen frequency information corresponding to each flower screen detection result;
step S42, matching the quality grade of the corresponding display screen to be tested in a preset quality evaluation table according to the black screen frequency information, the screen pattern frequency information, the on-off time information and the on-off stability information.
In this embodiment, it should be noted that the on-off duration information refers to an average on-time of each display screen to be tested; the on-off stability information refers to the stability of the starting time of each display screen to be detected, wherein the stability of the starting time refers to standard deviation obtained by normally distributing the starting time of each display screen to be detected; the black screen frequency information is used for representing the frequency of the black screen of each display screen to be tested; the screen display frequency information is used for representing the frequency of the screen display of each display screen to be tested; in order to better evaluate the quality of the display screen, the preset quality evaluation table may be established, and referring to fig. 5, the preset quality evaluation table is used for evaluating the quality level of each display screen to be tested according to four evaluation indexes of the black screen frequency information, the screen-pattern frequency information, the average starting time and the starting time stability, and making a corresponding evaluation rule, for example, when the black screen frequency is 0, the screen-pattern frequency is 0, the average starting time is 70 seconds and the starting time stability is less than or equal to 5 seconds, the quality level is high, the black screen frequency is 0, at most 1 screen-pattern occurs, when the average starting time is 80 seconds and the starting time stability is less than or equal to 10 seconds, the quality level is medium quality, at most 1 screen-pattern occurs, and when the average starting time is 90 seconds and the starting time stability is less than or equal to 20 seconds, the quality level is low quality. Reference is made in particular to fig. 2.
As an example, step S41 to step S42 include: acquiring the recording times of each current black screen picture, taking the recording times as the black screen times, acquiring the recording times of each current splash screen picture, and taking the recording times as the splash screen times; and matching corresponding quality grades in the preset quality evaluation table according to the black screen frequency information, the screen pattern frequency information, the average starting time and the starting time stability.
After the step of determining the quality level of the corresponding display screen to be tested according to the screen detection results and the on-off detection results, the method further comprises the following steps:
step A10, packaging screen detection results corresponding to the display screens to be detected, corresponding on-off detection results and corresponding quality grades to obtain data packets;
and step A20, the data packet is sent to a preset display platform, and the preset display platform is used for visually displaying the data packet.
In this embodiment, it should be noted that, because in the prior art, the quality detection of the display screen is performed by using a manual detection manner, in order to improve the intelligence of the quality detection of the display screen, in this embodiment, the screen detection result, the on-off detection result and the quality level of each display screen to be detected are selected to be visualized in a preset display platform, so as to achieve the purpose of remotely observing the quality detection result of each display screen to be detected; referring to fig. 2, the preset display platform may be an online skygafana display system, which includes a display screen real-time display module G510/G520 and a mysql database G530, where the display screen real-time display module is configured to call a data packet in the mysql database and display the content in the data packet, and the mysql database stores the data packet corresponding to each to-be-detected display screen transmitted by the quality detection device, and a specific visual schematic may refer to fig. 6.
As an example, steps a10 to a20 include: packaging screen detection results corresponding to the display screens to be detected, corresponding on-off detection results and corresponding quality grades to obtain quality detection data packets corresponding to the display screens to be detected; and sending each quality detection data packet to a preset display platform so that the preset display platform can analyze each quality detection data packet, and visualizing a screen detection result corresponding to each display screen to be detected, a corresponding on-off detection result and a corresponding quality grade according to each first timestamp and each second timestamp in the data packet according to the time sequence, so that related management staff can intuitively and clearly know the quality condition of each display screen to be detected.
Compared with the existing method for detecting the quality of the display screen by adopting manual detection, the method for detecting the quality of the display screen comprises the steps that firstly, if quality detection request signals of the display screens to be detected are received, on-off detection is carried out on the display screens to be detected, and corresponding on-off detection results are obtained; based on the detection results of the on-off operation, controlling cameras corresponding to the display screens to be detected to acquire images, and obtaining corresponding display screen images; acquiring the image similarity of each display screen image, and performing screen detection on the corresponding display screen to be detected according to each image similarity to obtain a corresponding screen detection result; and determining the quality grade of the corresponding display screen to be detected according to the screen detection results and the on-off detection results. According to the embodiment, the quality detection equipment is used for simultaneously carrying out on-off detection and screen detection on a plurality of display screens to be detected, and the quality grade of each display screen to be detected is analyzed according to the obtained screen detection result and the on-off detection result, so that the purpose of carrying out the quality detection on the display screens without manual work is achieved, the technical defect that the quality detection accuracy of the display screens is low due to the fact that the subjective influence factors of manual detection are large is overcome, and therefore the accuracy of the quality detection on the display screens is improved.
In addition, the embodiment of the application also provides a display screen quality detection device, which is applied to quality detection equipment, as shown in fig. 7, and the display screen quality detection device comprises:
the on-off detection module 10 is configured to perform on-off detection on each display screen to be detected if a quality detection request signal of each display screen to be detected is received, so as to obtain a corresponding on-off detection result;
the image acquisition module 20 is configured to control, based on each on-off detection result, the camera corresponding to each display screen to be detected to acquire an image, so as to obtain a corresponding display screen image;
the screen detection module 30 is configured to obtain an image similarity of each display screen image, and perform screen detection on the corresponding display screen to be detected according to each image similarity to obtain a corresponding screen detection result;
and the quality analysis module 40 is configured to determine a quality level of the corresponding display screen to be tested according to the screen detection results and the on-off detection results.
Optionally, the screen detection module 30 is further configured to:
detecting whether a corresponding display screen to be detected has a black screen or not according to the similarity of the images;
if the black screen appears, recording the current black screen picture of the display screen to be detected and the corresponding first timestamp as the black screen detection result, and carrying out black screen early warning;
If the black screen does not appear, detecting whether the corresponding display screen to be detected appears a screen pattern according to the similarity of the images;
and if the screen is in the screen display state, recording the current screen display picture of the display screen to be detected and the corresponding second timestamp as the screen display detection result, and carrying out screen display early warning.
Optionally, the mass analysis module 40 is further configured to:
acquiring black screen frequency information corresponding to each black screen detection result and flower screen frequency information corresponding to each flower screen detection result;
and matching the quality grade of the corresponding display screen to be detected in a preset quality evaluation table according to the black screen frequency information, the screen pattern frequency information, the on-off time length information and the on-off stability information.
Optionally, the screen detection module 30 is further configured to:
detecting whether the similarity of each image is larger than a preset first similarity;
if yes, judging that the corresponding display screen to be tested does not have a black screen;
if not, judging that the corresponding display screen to be tested is black.
Optionally, the screen detection module 30 is further configured to:
detecting whether the similarity of each image is larger than a preset second similarity;
if yes, judging that the corresponding display screen to be tested does not have a screen pattern;
If not, judging that the corresponding display screen to be tested has a screen pattern.
Optionally, the display screen quality detection device is further configured to:
packaging screen detection results corresponding to the display screens to be tested, corresponding on-off detection results and corresponding quality grades to obtain data packets;
and sending the data packet to a preset display platform, wherein the preset display platform is used for visually displaying the data packet.
Optionally, the image acquisition module 20 is further configured to:
starting a waiting mode based on each switching on/off detection result;
acquiring the waiting time length corresponding to the waiting mode, and detecting whether the waiting time length reaches a preset waiting time length or not;
if yes, controlling each camera to acquire images, and acquiring corresponding display screen images.
Optionally, the screen detection module 30 is further configured to:
detecting whether each display screen image is a preset normal display screen image or not;
if yes, similarity detection is carried out on each display screen image, and corresponding image similarity is obtained;
if not, carrying out system early warning.
The display screen quality detection device provided by the application adopts the display screen quality detection method in the embodiment, and solves the technical problem of low accuracy of the existing display screen quality detection. Compared with the prior art, the display screen quality detection device provided by the embodiment of the application has the same beneficial effects as the display screen quality detection method provided by the embodiment, and other technical features in the display screen quality detection device are the same as the features disclosed by the method of the embodiment, and are not repeated herein.
An embodiment of the present application provides an electronic device, referring to fig. 8, including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the display quality detection method in the first embodiment.
Fig. 8 illustrates a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 8 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
As shown in fig. 8, the electronic device may include a processing means (e.g., a central processing unit, a graphic processor, etc.) that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) or a program loaded from a storage means into a Random Access Memory (RAM). In the RAM, various programs and data required for the operation of the electronic device are also stored. The processing device, ROM and RAM are connected to each other via a bus. An input/output (I/O) interface is also connected to the bus.
In general, the following systems may be connected to the I/O interface: input devices including, for example, touch screens, touch pads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices including, for example, liquid Crystal Displays (LCDs), speakers, vibrators, etc.; storage devices including, for example, magnetic tape, hard disk, etc.; a communication device. The communication means may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While electronic devices having various systems are shown in the figures, it should be understood that not all of the illustrated systems are required to be implemented or provided. More or fewer systems may alternatively be implemented or provided.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via a communication device, or installed from a storage device, or installed from ROM. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by a processing device.
The electronic equipment provided by the application adopts the display screen quality detection method in the embodiment, so that the technical problem of low accuracy of the existing display screen quality detection is solved. Compared with the prior art, the electronic device provided by the embodiment of the application has the same beneficial effects as the display screen quality detection method provided by the embodiment, and other technical features in the electronic device are the same as the features disclosed by the method of the embodiment, and are not described in detail herein.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the description of the above embodiments, particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
The present embodiment provides a computer-readable storage medium having computer-readable program instructions stored thereon for performing the display quality detection method in the first embodiment described above.
The computer readable storage medium provided by the embodiments of the present application may be, for example, a usb disk, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this embodiment, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The above-described computer-readable storage medium may be contained in an electronic device; or may exist alone without being assembled into an electronic device.
The computer-readable storage medium carries one or more programs that, when executed by an electronic device, cause the electronic device to: if a quality detection request signal of each display screen to be detected is received, performing on-off detection on each display screen to be detected to obtain a corresponding on-off detection result; based on the detection results of the on-off operation, controlling cameras corresponding to the display screens to be detected to acquire images, and obtaining corresponding display screen images; acquiring the image similarity of each display screen image, and performing screen detection on the corresponding display screen to be detected according to each image similarity to obtain a corresponding screen detection result; and determining the quality grade of the corresponding display screen to be detected according to the screen detection results and the on-off detection results.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present disclosure may be implemented in software or hardware. Wherein the name of the module does not constitute a limitation of the unit itself in some cases.
The computer readable storage medium provided by the application is stored with computer readable program instructions for executing the display screen quality detection method, and the technical problem of low accuracy of the existing display screen quality detection is solved. Compared with the prior art, the beneficial effects of the computer readable storage medium provided by the embodiment of the present application are the same as those of the display screen quality detection method provided by the above embodiment, and are not described in detail herein.
The present application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of a display quality detection method as described above.
The computer program product provided by the application solves the technical problem of low accuracy of quality detection of the display screen at present. Compared with the prior art, the beneficial effects of the computer program product provided by the embodiment of the present application are the same as those of the display screen quality detection method provided by the above embodiment, and are not described in detail herein.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the scope of the claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims.

Claims (10)

1. A display quality detection method, characterized in that it is applied to a quality detection device, the display quality detection method comprising:
if a quality detection request signal of each display screen to be detected is received, performing on-off detection on each display screen to be detected to obtain a corresponding on-off detection result;
based on the detection results of the on-off operation, controlling cameras corresponding to the display screens to be detected to acquire images, and obtaining corresponding display screen images;
acquiring the image similarity of each display screen image, and performing screen detection on the corresponding display screen to be detected according to each image similarity to obtain a corresponding screen detection result;
and determining the quality grade of the corresponding display screen to be detected according to the screen detection results and the on-off detection results.
2. The method for detecting the quality of a display screen according to claim 1, wherein the screen detection results include a black screen detection result and a splash screen detection result, and the step of performing screen detection on the corresponding display screen to be detected according to the similarity of each image to obtain the corresponding screen detection result includes:
detecting whether a corresponding display screen to be detected has a black screen or not according to the similarity of the images;
If the black screen appears, recording the current black screen picture of the display screen to be detected and the corresponding first timestamp as the black screen detection result, and carrying out black screen early warning;
if the black screen does not appear, detecting whether the corresponding display screen to be detected appears a screen pattern according to the similarity of the images;
and if the screen is in the screen display state, recording the current screen display picture of the display screen to be detected and the corresponding second timestamp as the screen display detection result, and carrying out screen display early warning.
3. The method for detecting the quality of a display screen according to claim 2, wherein the on-off detection result includes on-off time length information and on-off stability information, and the step of determining the quality level of the corresponding display screen to be detected according to each of the screen detection result and each of the on-off detection result includes:
acquiring black screen frequency information corresponding to each black screen detection result and flower screen frequency information corresponding to each flower screen detection result;
and matching the quality grade of the corresponding display screen to be detected in a preset quality evaluation table according to the black screen frequency information, the screen pattern frequency information, the on-off time length information and the on-off stability information.
4. The method for detecting the quality of a display screen according to claim 2, wherein the step of detecting whether the corresponding display screen to be detected has a black screen according to the similarity of each image comprises:
detecting whether the similarity of each image is larger than a preset first similarity;
if yes, judging that the corresponding display screen to be tested does not have a black screen;
if not, judging that the corresponding display screen to be tested is black.
5. The method for detecting the quality of a display screen according to claim 2, wherein the step of detecting whether the corresponding display screen to be detected has a splash screen according to the similarity of each image comprises:
detecting whether the similarity of each image is larger than a preset second similarity;
if yes, judging that the corresponding display screen to be tested does not have a screen pattern;
if not, judging that the corresponding display screen to be tested has a screen pattern.
6. The method for detecting the quality of a display screen according to claim 1, further comprising, after the step of determining the quality level of the corresponding display screen to be detected based on each of the screen detection results and each of the power-on/off detection results:
packaging screen detection results corresponding to the display screens to be tested, corresponding on-off detection results and corresponding quality grades to obtain data packets;
And sending the data packet to a preset display platform, wherein the preset display platform is used for visually displaying the data packet.
7. The method for detecting the quality of display screens according to claim 1, wherein the step of controlling cameras corresponding to the display screens to be detected to acquire images based on the detection results of the switching on/off of the display screens comprises the steps of:
starting a waiting mode based on each switching on/off detection result;
acquiring the waiting time length corresponding to the waiting mode, and detecting whether the waiting time length reaches a preset waiting time length or not;
if yes, controlling each camera to acquire images, and acquiring corresponding display screen images.
8. The display quality detection method according to claim 1, wherein the step of acquiring the image similarity of each of the display images includes:
detecting whether each display screen image is a preset normal display screen image or not;
if yes, similarity detection is carried out on each display screen image, and corresponding image similarity is obtained;
if not, carrying out system early warning.
9. An electronic device, the electronic device comprising:
At least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the display quality detection method of any one of claims 1 to 8.
10. A readable storage medium, wherein a program for realizing the display quality detection method is stored on the readable storage medium, and the program for realizing the display quality detection method is executed by a processor to realize the steps of the display quality detection method according to any one of claims 1 to 8.
CN202211610027.3A 2022-12-12 2022-12-12 Display screen quality detection method, device and storage medium Pending CN116012308A (en)

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Application Number Priority Date Filing Date Title
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Application Number Priority Date Filing Date Title
CN202211610027.3A CN116012308A (en) 2022-12-12 2022-12-12 Display screen quality detection method, device and storage medium

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Publication Number Publication Date
CN116012308A true CN116012308A (en) 2023-04-25

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