Display screen detection method, detection device and computer readable storage medium

Abstract

The application relates to the technical field of display screen detection, and provides a display screen detection method, a detection device and a computer readable storage medium, the display screen detection method comprises the following steps: obtaining a target image obtained by imaging a display screen through a differential interference system, the display screen comprising an anisotropic conductive film and a glass substrate bonded with the anisotropic conductive film; performing image recognition on the target image based on a pre-trained offset detection model to obtain offset information between a first mark and a second mark of the target image, wherein the first mark is a mark on the anisotropic conductive film, and the second mark is a mark on the glass substrate; and determining the bonding state of the anisotropic conductive film and the glass substrate according to the offset information between the first mark and the second mark in the target image, so that the detection efficiency of the display screen is improved.

Description

Technical Field

[0001] This application relates to the field of display screen testing technology, and in particular to a display screen testing method, testing equipment, and computer-readable storage medium. Background Technology

[0002] The COG (Chip On Glass) / FOG (Film On Glass) bonding process has two important technical indicators: first, whether there is any misalignment between the ACF (Anisotropic Conductive Film) of the IC (Integrated Circuit) / FPC (Flexible Printed Circuit) and the Glass (Glass substrate) during lamination; and second, whether a sufficient number of uniformly qualified conductive particles are broken in the laminated area. Therefore, COG / FOG has certain requirements for the quality inspection of the bonding effect, but the current inspection methods are cumbersome and have low efficiency. Summary of the Invention

[0003] The main objective of this application is to provide a method, equipment, and computer-readable storage medium for testing a display screen, with the aim of improving the testing efficiency of the display screen.

[0004] Firstly, this application provides a method for detecting a display screen, the method comprising the following steps:

[0005] Acquire a target image obtained by imaging a display screen through a differential interferometry system, wherein the display screen includes an anisotropic conductive film and a glass substrate pressed together with the anisotropic conductive film;

[0006] Based on a pre-trained offset detection model, image recognition is performed on the target image to obtain offset information between the first identifier and the second identifier in the target image, wherein the first identifier is an identifier on the anisotropic conductive film and the second identifier is an identifier on the glass substrate.

[0007] Based on the offset information between the first and second identifiers in the target image, the bonding state between the anisotropic conductive film and the glass substrate is determined.

[0008] Secondly, this application also provides a display screen testing device, which includes a memory and a processor;

[0009] The memory is used to store computer programs;

[0010] The processor is configured to execute the computer program and, in executing the computer program, implement the display screen detection method as described above.

[0011] Thirdly, this application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the display screen detection method described above.

[0012] This application provides a method, device, and computer-readable storage medium for detecting a display screen. The method includes: acquiring a target image obtained by imaging the display screen using a differential interferometry system, wherein the display screen includes an anisotropic conductive film and a glass substrate pressed against the anisotropic conductive film; performing image recognition on the target image based on a pre-trained offset detection model to obtain offset information between a first identifier and a second identifier in the target image, wherein the first identifier is an identifier on the anisotropic conductive film and the second identifier is an identifier on the glass substrate; and determining the bonding state of the anisotropic conductive film and the glass substrate based on the offset information between the first identifier and the second identifier in the target image, thereby improving the detection efficiency of the display screen. Attached Figure Description

[0013] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 A schematic flowchart illustrating a display screen detection method provided in an embodiment of this application;

[0015] Figure 2 This is a schematic diagram of the structure of an anisotropic conductive film and a glass substrate pressed together with the anisotropic conductive film according to an embodiment of this application.

[0016] Figure 3 This is a target image related to an embodiment of this application;

[0017] Figure 4 This is a target image related to another embodiment of this application;

[0018] Figure 5 This is a schematic block diagram illustrating the structure of a display screen testing device provided in an embodiment of this application. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.

[0021] This application provides a method for detecting a display screen, a detection device, and a computer-readable storage medium. The method for detecting the display screen can be applied to the detection device.

[0022] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0023] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for detecting a display screen, as provided in an embodiment of this application.

[0024] like Figure 1 As shown, the detection method for the display screen includes steps S101 to S103.

[0025] Step S101: Obtain the target image obtained by imaging the display screen through a differential interferometry system. The display screen includes an anisotropic conductive film and a glass substrate pressed with the anisotropic conductive film.

[0026] For example, a differential interference system includes a camera, a first polarizer, a second polarizer, a semi-reflective mirror, a differential interference (DIC) prism, and a light source.

[0027] In some embodiments, the differential interferometry system uses a CCD (Charge Coupled Device) camera.

[0028] In some embodiments, the differential interference system uses a light source with a wavelength range of 400nm to 480nm. Based on the principle of light interference, using a light source of the same wavelength to emit a beam of light to the display screen helps to highlight the features of minute unevenness on the display screen in the target image.

[0029] For example, in a differential interferometry (DI) system, the first polarizer converts the light beam emitted from the light source into linearly polarized parallel light. This parallel light is reflected by a semi-reflective lens coaxially positioned with the first polarizer and then refracted by the DIC prism, splitting into two beams that pass through adjacent areas of the display screen at different times, creating a phase difference. These phase-difference beams are reflected by the surface of the display screen and then projected by the semi-reflective lens and merged by the second polarizer. This transforms minute differences in thickness within the display screen into variations in brightness, increasing contrast and creating a strong sense of depth. Furthermore, it further highlights the conductive particles in the anisotropic conductive film and the conductive particle region of the glass substrate bonded to the anisotropic conductive film, resulting in a more three-dimensional image of the conductive particles and facilitating their detection.

[0030] Step S102: Based on the pre-trained offset detection model, perform image recognition on the target image to obtain the offset information between the first identifier and the second identifier in the target image, wherein the first identifier is the identifier on the anisotropic conductive film and the second identifier is the identifier on the glass substrate.

[0031] In some embodiments, when inspecting a display screen, in addition to the differential interferometry system, extra equipment is required to acquire and detect the misalignment information between the anisotropic conductive film and the glass substrate bonded to it. This occupies an additional workstation, increases the inspection process, and is detrimental to improving the inspection efficiency. This application, based on the target image obtained by imaging the display screen using the differential interferometry system, can identify both the misalignment information between the anisotropic conductive film and the glass substrate bonded to it, and also detect the bonding state between the anisotropic conductive film and the glass substrate, such as detecting conductive particles. This saves hardware costs, reduces the inspection process, and improves the inspection efficiency.

[0032] Please see Figure 2 , Figure 2 This is a schematic diagram of the anisotropic conductive film and the glass substrate pressed with the anisotropic conductive film according to an embodiment of this application.

[0033] like Figure 2 As shown, (a) is an anisotropic conductive film, wherein the anisotropic conductive film includes a first mark such as a cross mark, and (b) is a glass substrate, wherein the glass substrate includes a second mark such as a rectangular mark. For example, when the anisotropic conductive film and the glass substrate are pressed together, the positional relationship between the first mark on the anisotropic conductive film and the second mark on the glass substrate is as shown in (c).

[0034] In some embodiments, the obtained target image can be input into a pre-trained offset detection model, which identifies the offset information between the first and second identifiers in the target image based on the target image.

[0035] For example, based on a pre-trained offset detection model, image recognition is performed on the target image to obtain offset information between the first and second identifiers in the target image, including: based on the pre-trained offset detection model, image recognition is performed on the target image to determine the position information of the first and second identifiers; based on the position information of the first and second identifiers, the offset information between the first and second identifiers in the target image is determined.

[0036] In some embodiments, based on the offset detection model, the contours of the first identifier and the second identifier are identified in the target image, and the position information of the first identifier and the position information of the second identifier are determined according to the contours of the first identifier and the second identifier.

[0037] Please see Figure 3 , Figure 3 This is a target image related to an embodiment of this application.

[0038] like Figure 3 As shown, the first identifier is, for example, a cross, and the second identifier is, for example, a rectangle. When the target image is input into the offset detection model, the model identifies the outlines of the cross and the rectangle, and determines their positional information based on these outlines. For example, based on the outline of the cross, the model identifies the middle region of the cross, and determines the positional information of the cross based on the intersection of its diagonals; similarly, based on the outline of the rectangle, the model determines the positional information of the rectangle based on the intersection of its diagonals.

[0039] In some embodiments, image recognition is performed on the target image based on a pre-trained offset detection model to determine the position information of the first identifier and the second identifier, including: identifying a first region corresponding to the first identifier, a second region corresponding to the second identifier, and a third region other than the first and second identifiers in the target image; determining a first gray value corresponding to the first region, a second gray value corresponding to the second region, and a third gray value corresponding to the third region; determining a gray value threshold based on the first gray value, the second gray value, and the third gray value; performing grayscale processing on the target image based on the grayscale threshold; and determining the position information of the first identifier and the second identifier based on the grayscale processed target image.

[0040] For example, there are situations where the offset detection model cannot directly identify the outline of the first identifier and / or the outline of the second identifier. For instance, in the target image, the first identifier and the second identifier partially overlap, and due to the influence of the background color of the target image on the color of at least one of the first and second identifiers, the offset detection model cannot distinguish the outline of the first identifier and / or the outline of the second identifier, thereby increasing the error rate of the offset detection model in identifying the position information of the first identifier and / or the position information of the second identifier.

[0041] Please see Figure 4 , Figure 4 This is a target image related to another embodiment of this application.

[0042] like Figure 4 As shown, the first identifier is, for example, a cross, and the second identifier is, for example, a rectangle. When the target image is input into the offset detection model, the model identifies the first region corresponding to the cross, the second region corresponding to the rectangle, and a third region excluding the cross and rectangle. For example, the first region can be a portion of the cross or a recognizable area of ​​the cross; the second region can be a portion of the rectangle or a recognizable area of ​​the rectangle; and the third region can be a portion of the region excluding the cross and rectangle or a recognizable area excluding the cross and rectangle—this is not limited here.

[0043] For example, by determining the grayscale threshold through the first grayscale value corresponding to the first region, the second grayscale value corresponding to the second region, and the third grayscale value corresponding to the third region, and then performing grayscale processing on the target image based on the grayscale threshold to reduce the influence of the background color of the target image on the color of at least one of the cross and rectangular symbols, the offset detection model can determine the outline of the cross and the outline of the rectangular symbol based on the grayscale processed target image, thereby determining the position information of the cross and the rectangular symbol.

[0044] In some embodiments, by determining the grayscale threshold and performing grayscale processing on the target image, the offset detection model can better distinguish between the first identifier and / or the second identifier, thereby improving the accuracy of identifying the location information of the first identifier and the location information of the second identifier.

[0045] In some embodiments, determining the offset information between the first identifier and the second identifier in the target image based on the position information of the first identifier and the position information of the second identifier includes: determining the offset angle and / or offset distance between the first identifier and the second identifier in the target image based on the position information of the first identifier and the position information of at least two second identifiers, wherein any one of the second identifiers is adjacent to at least one second identifier.

[0046] For example, such as Figure 3 , Figure 4 As shown, based on the position information of the cross mark and the position information of at least two rectangle marks, wherein any rectangle mark is adjacent to at least one rectangle mark, the cross mark and at least two rectangle marks are connected to form at least one included angle between the cross mark and the rectangle marks, and the angle of the included angle is determined. By comparing the angle of the included angle with a preset standard angle, the offset angle between the cross mark and the rectangle marks is determined.

[0047] For example, such as Figure 3 , Figure 4 As shown, based on the position information of the cross marker and the position information of at least two rectangular markers, wherein any rectangular marker is adjacent to at least one rectangular marker, the midpoint position information corresponding to the two adjacent rectangular markers is determined based on the position information of the two adjacent rectangular markers, and compared with the position information of the cross marker to determine the offset distance between the cross marker and the rectangular markers, so as to determine at least one of the following: whether the cross marker is offset to the two rectangular markers above the cross marker, whether the cross marker is offset to the two rectangular markers below the cross marker, whether the cross marker is offset to the two rectangular markers to the left of the cross marker, and whether the cross marker is offset to the two rectangular markers to the right of the cross marker.

[0048] In some embodiments, by measuring the offset angle and / or offset distance between the first and second identifiers in the target image, it is beneficial to more comprehensively determine the bonding state between the anisotropic conductive film included in the display screen and the glass substrate pressed with the anisotropic conductive film.

[0049] Step S103: Determine the bonding state of the anisotropic conductive film and the glass substrate based on the offset information between the first and second identifiers in the target image.

[0050] For example, based on the offset information between the first and second identifiers in the target image, the offset information between the anisotropic conductive film and the glass substrate can be determined. Then, by combining the offset information between the anisotropic conductive film and the glass substrate, the bonding state between the anisotropic conductive film and the glass substrate can be determined. This is beneficial for a more comprehensive judgment of the bonding state between the anisotropic conductive film included in the display screen and the glass substrate pressed with the anisotropic conductive film, and for improving the detection efficiency of the display screen.

[0051] In some embodiments, it is determined whether the offset information between the first identifier and the second identifier in the target image meets a preset condition; when the offset information between the first identifier and the second identifier in the target image meets the preset condition, the bonding state of the anisotropic conductive film and the glass substrate is determined based on the offset information between the first identifier and the second identifier in the target image, the relative positional relationship between the first identifier and the first target bonding area on the anisotropic conductive film, and the relative positional relationship between the second identifier and the second target bonding area on the glass substrate.

[0052] For example, the offset information includes offset angle and / or offset distance. For instance, if either of the following conditions is met: the offset angle between the first and second identifiers is greater than a preset offset angle threshold, or the offset distance between the first and second identifiers is greater than a preset offset distance threshold, then the offset information between the first and second identifiers in the target image does not meet the preset conditions; otherwise, the offset information between the first and second identifiers in the target image meets the preset conditions. For example, by determining whether the offset information between the first and second identifiers in the target image meets the preset conditions, the corresponding display screens are filtered. Target images that do not meet the preset conditions do not require further processing, and their corresponding display screens can be determined to be defective. This helps to save on the display screen detection process, thereby improving the detection efficiency of the display screens.

[0053] For example, when the offset information between the first and second identifiers in the target image meets a preset condition, the bonding state of the anisotropic conductive film and the glass substrate is determined based on the offset information between the first and second identifiers in the target image, the relative positional relationship between the first identifier and the first target bonding area on the anisotropic conductive film, and the relative positional relationship between the second identifier and the second target bonding area on the glass substrate. This includes: identifying the bonding area of ​​the anisotropic conductive film and the glass substrate, and the conductive particles in the bonding area, based on the offset information between the first and second identifiers in the target image, the relative positional relationship between the first identifier and the first target bonding area on the anisotropic conductive film, and the relative positional relationship between the second identifier and the second target bonding area on the glass substrate; determining the bonding state of the anisotropic conductive film and the glass substrate in the bonding area based on the size, quantity, and distribution of the conductive particles; and determining the bonding state of the anisotropic conductive film and the glass substrate based on the bonding state of the anisotropic conductive film and the glass substrate in the bonding area, and the offset information between the first and second identifiers in the target image.

[0054] In some embodiments, based on the offset information between the first and second identifiers in the target image, the relative positional relationship between the first identifier and the first target bonding area on the anisotropic conductive film, and the relative positional relationship between the second identifier and the second target bonding area on the glass substrate, the bonding area between the first and second target bonding areas is determined as the bonding area between the anisotropic conductive film and the glass substrate.

[0055] In some embodiments, the target image is obtained by imaging the display screen using a differential interferometry system. Therefore, the conductive particles in the bonding area between the anisotropic conductive film and the glass substrate in the target image are easier to identify. Based on the size, number, and distribution of the conductive particles in the bonding area, the bonding state of the anisotropic conductive film and the glass substrate in the bonding area can be determined.

[0056] For example, by identifying the bonding area between the anisotropic conductive film and the glass substrate, the influence of the unbonded portions included in the first target bonding area on the anisotropic conductive film and the unbonded portions included in the second target bonding area on the glass substrate on the distribution state of the identified conductive particles is reduced, which helps to improve the detection efficiency of the display screen.

[0057] In some embodiments, appropriate weights can be set for the bonding state of the anisotropic conductive film and the glass substrate in the bonding area, as well as the offset information between the first and second identifiers in the target image, to evaluate the bonding state of the anisotropic conductive film and the glass substrate. This improves the detection efficiency of the display screen and allows for a more comprehensive inspection of the display screen to ensure its quality.

[0058] In some embodiments, the display screen detection method further includes: calculating the yield rate of the display screen based on the bonding state of the anisotropic conductive film and the glass substrate; if the yield rate of the display screen is lower than a preset yield rate threshold within a preset time, outputting processing suggestions based on the bonding state of the anisotropic conductive film and the glass substrate, the processing suggestions being used to instruct the lamination equipment of the anisotropic conductive film and the glass substrate to perform maintenance.

[0059] In some embodiments, the output processing suggestions may include, within a preset time, the bonding status of the anisotropic conductive film and the glass substrate in the display screen, and the judgment of possible problems in the bonding equipment of the anisotropic conductive film and the glass substrate, thereby instructing the bonding equipment of the anisotropic conductive film and the glass substrate to be repaired.

[0060] The display screen detection method provided in the above embodiments acquires a target image of the display screen by imaging the display screen through a differential interferometry system. The display screen includes an anisotropic conductive film and a glass substrate pressed with the anisotropic conductive film. Based on a pre-trained offset detection model, image recognition is performed on the target image to obtain offset information between a first identifier and a second identifier in the target image. The first identifier is an identifier on the anisotropic conductive film, and the second identifier is an identifier on the glass substrate. Based on the offset information between the first identifier and the second identifier in the target image, the bonding state of the anisotropic conductive film and the glass substrate is determined to improve the detection efficiency of the display screen.

[0061] The method of this application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0062] For example, the above method can be implemented as a computer program that can run on a display detection device.

[0063] Please see Figure 5 , Figure 5 This is a schematic block diagram illustrating the structure of a display screen testing device provided in an embodiment of this application.

[0064] The storage medium may store the operating system and computer programs. These computer programs include program instructions that, when executed, cause the processor to perform any method for detecting the display screen.

[0065] The processor provides computing and control capabilities, supporting the operation of the entire computer device.

[0066] Internal memory provides an environment for the execution of computer programs stored in the storage medium. When these computer programs are executed by the processor, the processor can perform any method of detecting the display screen.

[0067] This network interface is used for network communication, such as sending assigned tasks. Those skilled in the art will understand that... Figure 5The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the testing equipment for the display screen to which the present application is applied. The specific testing equipment for the display screen may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0068] It should be understood that the processor can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other convertible logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among these, a general-purpose processor can be a microprocessor or any conventional processor.

[0069] In one embodiment, the processor is configured to run a computer program stored in memory to perform the following steps:

[0070] Acquire a target image obtained by imaging a display screen through a differential interferometry system, wherein the display screen includes an anisotropic conductive film and a glass substrate pressed together with the anisotropic conductive film;

[0071] Based on a pre-trained offset detection model, image recognition is performed on the target image to obtain offset information between the first identifier and the second identifier in the target image, wherein the first identifier is an identifier on the anisotropic conductive film and the second identifier is an identifier on the glass substrate.

[0072] Based on the offset information between the first and second identifiers in the target image, the bonding state between the anisotropic conductive film and the glass substrate is determined.

[0073] In one embodiment, when the processor performs image recognition on the target image based on the pre-trained offset detection model to obtain offset information between the first identifier and the second identifier in the target image, it is configured to:

[0074] Based on a pre-trained offset detection model, image recognition is performed on the target image to determine the position information of the first identifier and the position information of the second identifier;

[0075] Based on the position information of the first identifier and the position information of the second identifier, the offset information between the first identifier and the second identifier in the target image is determined.

[0076] In one embodiment, when the processor performs image recognition on the target image based on the pre-trained offset detection model to determine the position information of the first identifier and the position information of the second identifier, it is configured to:

[0077] In the target image, a first region corresponding to the first identifier, a second region corresponding to the second identifier, and a third region other than the first identifier and the second identifier are identified;

[0078] Determine the first gray value corresponding to the first region, the second gray value corresponding to the second region, and the third gray value corresponding to the third region;

[0079] A grayscale threshold is determined based on the first grayscale value, the second grayscale value, and the third grayscale value;

[0080] The target image is subjected to grayscale processing based on the grayscale value threshold, and the location information of the first identifier and the location information of the second identifier are determined based on the grayscale processed target image.

[0081] In one embodiment, when the processor determines the offset information between the first identifier and the second identifier in the target image based on the position information of the first identifier and the position information of the second identifier, it is configured to:

[0082] Based on the position information of the first identifier and the position information of at least two second identifiers, the offset angle and / or offset distance between the first identifier and the second identifier in the target image are determined, wherein any one of the second identifiers is adjacent to at least one second identifier.

[0083] In one embodiment, when the processor determines the bonding state of the anisotropic conductive film and the glass substrate based on the offset information between the first and second identifiers in the target image, it is configured to:

[0084] Determine whether the offset information between the first identifier and the second identifier in the target image meets a preset condition;

[0085] When the offset information between the first and second identifiers in the target image meets the preset conditions, the bonding state of the anisotropic conductive film and the glass substrate is determined based on the offset information between the first and second identifiers in the target image, the relative positional relationship between the first identifier and the first target bonding area on the anisotropic conductive film, and the relative positional relationship between the second identifier and the second target bonding area on the glass substrate.

[0086] In one embodiment, when the processor determines the bonding state of the anisotropic conductive film and the glass substrate based on the offset information between the first and second identifiers in the target image, the relative positional relationship between the first identifier and the first target bonding area on the anisotropic conductive film, and the relative positional relationship between the second identifier and the second target bonding area on the glass substrate, the processor is configured to:

[0087] Based on the offset information between the first and second identifiers in the target image, the relative positional relationship between the first identifier and the first target bonding area on the anisotropic conductive film, and the relative positional relationship between the second identifier and the second target bonding area on the glass substrate, the bonding area between the anisotropic conductive film and the glass substrate, and the conductive particles in the bonding area are identified.

[0088] The bonding state of the anisotropic conductive film and the glass substrate in the bonding area is determined based on the size, quantity and distribution of the conductive particles.

[0089] The bonding state of the anisotropic conductive film and the glass substrate is determined based on the bonding state of the anisotropic conductive film and the glass substrate in the bonding area, and the offset information between the first and second identifiers in the target image.

[0090] In one embodiment, the offset information includes an offset angle and / or an offset distance. When the processor performs the step of determining whether the offset information between the first identifier and the second identifier in the target image meets a preset condition, it is configured to:

[0091] When the offset angle between the first identifier and the second identifier in the target image is less than or equal to a preset offset angle threshold, and / or the offset distance between the first identifier and the second identifier in the target image is less than or equal to a preset offset distance threshold, it is determined that the offset information between the first identifier and the second identifier in the target image meets the preset conditions.

[0092] In one embodiment, the processor, when implementing the detection method for the display screen, is configured to:

[0093] The yield rate of the display screen is calculated based on the bonding state between the anisotropic conductive film and the glass substrate.

[0094] If the yield rate of the display screen is lower than the preset yield rate threshold within a preset time, a processing suggestion is output based on the bonding state of the anisotropic conductive film and the glass substrate. The processing suggestion is used to instruct the lamination equipment of the anisotropic conductive film and the glass substrate to perform maintenance.

[0095] It should be noted that those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the display screen detection described above can be referred to the corresponding process in the aforementioned display screen detection method embodiments, and will not be repeated here.

[0096] This application also provides a computer-readable storage medium storing a computer program, which includes program instructions. When the program instructions are executed, the method implemented can be referred to in various embodiments of the display screen detection method of this application.

[0097] The computer-readable storage medium can be an internal storage unit of the display screen testing device described in the foregoing embodiments, such as a hard drive or memory of the display screen testing device. Alternatively, the computer-readable storage medium can be an external storage device of the display screen testing device, such as a plug-in hard drive, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the display screen testing device.

[0098] It should be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the scope of the application. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0099] It should also be understood that the term "and / or" as used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations. It should be noted that, herein, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0100] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments. The above descriptions are merely specific implementations of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for detecting a display screen, characterized in that, The method includes: Acquire a target image obtained by imaging a display screen through a differential interferometry system, wherein the display screen includes an anisotropic conductive film and a glass substrate pressed together with the anisotropic conductive film; Based on a pre-trained offset detection model, image recognition is performed on the target image to obtain offset information between the first identifier and the second identifier in the target image, wherein the first identifier is an identifier on the anisotropic conductive film and the second identifier is an identifier on the glass substrate. Based on the offset information between the first and second identifiers in the target image, the bonding state of the anisotropic conductive film and the glass substrate is determined. The method of performing image recognition on the target image based on a pre-trained offset detection model to obtain offset information between the first and second identifiers in the target image includes: Based on a pre-trained offset detection model, image recognition is performed on the target image to determine the position information of the first identifier and the position information of the second identifier; Based on the position information of the first identifier and the position information of the second identifier, the offset information between the first identifier and the second identifier in the target image is determined; The step of determining the offset information between the first identifier and the second identifier in the target image based on the position information of the first identifier and the position information of the second identifier includes: Based on the position information of the first identifier and the position information of at least two second identifiers, determine the offset angle and / or offset distance between the first identifier and the second identifier in the target image, wherein any one of the second identifiers is adjacent to at least one other second identifier; The first identifier includes a cross identifier, and the second identifier includes a rectangle identifier; any rectangle identifier is adjacent to at least one rectangle identifier, and there are two rectangle identifiers on the top, bottom, left, and right sides of the cross identifier; Determining the offset angle between the first identifier and the second identifier in the target image based on the position information of the first identifier and the position information of at least two second identifiers includes: Based on the position information of the cross symbol and the position information of at least two rectangular symbols, connect the cross symbol and at least two rectangular symbols to form at least one included angle between the cross symbol and the rectangular symbols, and determine the angle of the included angle; The offset angle between the cross mark and the rectangular mark is determined by comparing the included angle with a preset standard angle. Determining the offset distance between the first identifier and the second identifier in the target image based on the position information of the first identifier and the position information of at least two second identifiers includes: Based on the position information of two adjacent rectangular icons, determine the midpoint position information corresponding to the two adjacent rectangular icons; By comparing the midpoint position information with the position information of the crosshair, the offset distance between the crosshair and the rectangle is determined, so as to determine whether the crosshair is offset to the two rectangles located above the crosshair, whether the crosshair is offset to the two rectangles located below the crosshair, whether the crosshair is offset to the two rectangles located to the left of the crosshair, and whether the crosshair is offset to the two rectangles located to the right of the crosshair, at least one of these is considered.

2. The method for detecting a display screen according to claim 1, characterized in that, The step of performing image recognition on the target image based on a pre-trained offset detection model to determine the position information of the first identifier and the position information of the second identifier includes: In the target image, a first region corresponding to the first identifier, a second region corresponding to the second identifier, and a third region other than the first identifier and the second identifier are identified; Determine the first gray value corresponding to the first region, the second gray value corresponding to the second region, and the third gray value corresponding to the third region; A grayscale threshold is determined based on the first grayscale value, the second grayscale value, and the third grayscale value; The target image is subjected to grayscale processing based on the grayscale value threshold, and the location information of the first identifier and the location information of the second identifier are determined based on the grayscale processed target image.

3. The method for detecting a display screen according to any one of claims 1 to 2, characterized in that, Determining the bonding state of the anisotropic conductive film and the glass substrate based on the offset information between the first and second identifiers in the target image includes: Determine whether the offset information between the first identifier and the second identifier in the target image meets a preset condition; When the offset information between the first and second identifiers in the target image meets the preset conditions, the bonding state of the anisotropic conductive film and the glass substrate is determined based on the offset information between the first and second identifiers in the target image, the relative positional relationship between the first identifier and the first target bonding area on the anisotropic conductive film, and the relative positional relationship between the second identifier and the second target bonding area on the glass substrate.

4. The method for detecting a display screen according to claim 3, characterized in that, The step of determining the bonding state of the anisotropic conductive film and the glass substrate based on the offset information between the first and second identifiers in the target image, the relative positional relationship between the first identifier and the first target bonding area on the anisotropic conductive film, and the relative positional relationship between the second identifier and the second target bonding area on the glass substrate includes: Based on the offset information between the first and second identifiers in the target image, the relative positional relationship between the first identifier and the first target bonding area on the anisotropic conductive film, and the relative positional relationship between the second identifier and the second target bonding area on the glass substrate, the bonding area between the anisotropic conductive film and the glass substrate, and the conductive particles in the bonding area are identified. The bonding state of the anisotropic conductive film and the glass substrate in the bonding area is determined based on the size, quantity and distribution of the conductive particles. The bonding state of the anisotropic conductive film and the glass substrate is determined based on the bonding state of the anisotropic conductive film and the glass substrate in the bonding area, and the offset information between the first and second identifiers in the target image.

5. The method for detecting a display screen according to claim 3, characterized in that, The offset information includes the offset angle and / or offset distance; The step of determining whether the offset information between the first identifier and the second identifier in the target image meets the preset conditions includes: When the offset angle between the first identifier and the second identifier in the target image is less than or equal to a preset offset angle threshold, and / or the offset distance between the first identifier and the second identifier in the target image is less than or equal to a preset offset distance threshold, it is determined that the offset information between the first identifier and the second identifier in the target image meets the preset conditions.

6. The method for detecting a display screen according to any one of claims 1 to 2, characterized in that, Also includes: The yield rate of the display screen is calculated based on the bonding state between the anisotropic conductive film and the glass substrate. If the yield rate of the display screen is lower than the preset yield rate threshold within a preset time, a processing suggestion is output based on the bonding state of the anisotropic conductive film and the glass substrate. The processing suggestion is used to instruct the lamination equipment of the anisotropic conductive film and the glass substrate to perform maintenance.

7. A testing device for a display screen, the testing device for the display screen comprising a memory and a processor; The memory is used to store computer programs; Its features are, The processor is configured to execute the computer program and, in executing the computer program, implement the display detection method as described in any one of claims 1 to 6.

8. A computer-readable storage medium storing a computer program thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the display screen detection method as described in any one of claims 1 to 6.

Images