Methods, apparatus, terminal equipment, systems and storage media for detecting display units

Abstract

This application relates to the field of display screen technology, and provides a method, apparatus, terminal device, system, and storage medium for detecting display units. Specifically, the method for detecting display units includes: acquiring a display image of the display unit in a lit state at a target viewing angle, the target viewing angle including at least the side viewing angle of the display unit; determining optical data of the display unit at the target viewing angle based on the display image, the optical data including at least one of luminance data, chromaticity data, and luminous flux data; and sorting the display units based on the optical data at the target viewing angle. The technical solution of this application can improve the accuracy of display unit sorting.

Description

Technical Field

[0001] This application belongs to the field of display screen technology, and in particular relates to a method, apparatus, terminal equipment, system and storage medium for detecting display units. Background Technology

[0002] With the continuous development of display technology, the density of LEDs is increasing, and the spacing between LEDs is decreasing. Due to the influence of packaging processes, display modules are highly susceptible to brightness and color defects. Currently, the commonly used inspection method in the industry is manual judgment. After setting up a large screen, displaying the same grayscale color across the entire screen, the display modules with brightness and color defects are manually selected by visually observing from a specific angle in front of the large screen. This method requires setting up the screen, disassembling and installing new display modules after problems are found, which is very inefficient and prone to errors due to reliance on manual experience. Summary of the Invention

[0003] This application provides a method, apparatus, terminal device, system, and storage medium for detecting display units, which can solve the problem of low accuracy in sorting display modules in related technologies.

[0004] A first aspect of this application provides a method for detecting a display unit, comprising: acquiring a display image of the display unit in a lit state at a target viewing angle, the target viewing angle including at least a side viewing angle of the display unit; determining optical data of the display unit at the target viewing angle based on the display image, the optical data including at least one of luminance data, chromaticity data, and luminous flux data; and sorting the display units based on the optical data of the display unit at the target viewing angle.

[0005] A second aspect of this application provides a detection device for a display unit, comprising: an acquisition unit for acquiring a display image of the display unit in a lit state at a target viewing angle, the target viewing angle including at least a side viewing angle of the display unit; a determination unit for determining optical data of the display unit at the target viewing angle based on the display image, the optical data including at least one of luminance data, chromaticity data, and luminous flux data; and a sorting unit for sorting the display unit based on the optical data of the display unit at the target viewing angle.

[0006] A third aspect of this application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the detection method for the display unit described in the first aspect.

[0007] A fourth aspect of this application provides a detection system for display units, including a detection station for carrying display units to be detected; a data acquisition device for acquiring display images of the display units in a lit state at a target viewing angle, the target viewing angle including at least the side viewing angle of the display units; and a terminal device for sorting the display units according to the detection method of the display units described in the first aspect.

[0008] The fifth aspect of this application provides a system for detecting the eccentricity of a display unit, including a detection station for carrying the display unit to be detected; a data acquisition device for acquiring a display image of the display unit in a lit state at a target viewing angle, the target viewing angle including side views located on both sides of the normal of the display unit; and a terminal device for sorting the display units according to the detection method of the display unit described in the first aspect.

[0009] A sixth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the detection method for the display unit described in the first aspect.

[0010] A seventh aspect of this application provides a computer program product that, when run on a terminal device, causes the terminal device to execute the detection method for the display unit described in the first aspect.

[0011] In the embodiments of this application, a display image of the display unit at a target viewing angle is acquired when the display unit is lit. Based on the display image, optical data of the display unit at the target viewing angle is determined. Display units are then sorted based on this optical data. The target viewing angle includes at least the side view of the display unit. Therefore, display units can be sorted based on their display effect at the side view. Compared to conventional sorting from the front view, this effectively filters out display modules that have good brightness and color consistency when viewed from the front but exhibit obvious display defects when viewed from the side, thus improving the accuracy of display module sorting. Furthermore, the aforementioned display unit can refer to a display module. By directly detecting and sorting display units, it is not necessary to splice display modules into a large screen, improving the detection efficiency of display units. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a schematic diagram of the specific structure of the detection system for the display unit provided in the embodiments of this application;

[0014] Figure 2 This is a schematic diagram illustrating the implementation process of a detection method for a display unit provided in an embodiment of this application;

[0015] Figure 3 This is a schematic diagram of the image capture and display unit of the acquisition device provided in the embodiments of this application. Figure 1 ;

[0016] Figure 4 This is a schematic diagram of the image capture and display unit of the acquisition device provided in the embodiments of this application. Figure 2 ;

[0017] Figure 5 This is a schematic diagram of the image capture and display unit of the acquisition device provided in the embodiments of this application. Figure 3 ;

[0018] Figure 6 This is a schematic diagram of the specific implementation process of step S203 provided in the embodiments of this application. Figure 1 ;

[0019] Figure 7 This is a schematic diagram of the specific implementation process of step S203 provided in the embodiments of this application. Figure 2 ;

[0020] Figure 8 This is a schematic diagram of the specific structure of the display unit's yin-yang surface detection system provided in the embodiments of this application;

[0021] Figure 9 This is a schematic diagram of the structure of a detection device for a display unit provided in an embodiment of this application;

[0022] Figure 10 This is a schematic diagram of the structure of the terminal device provided in the embodiments of this application. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are protected by this application.

[0024] Currently, the commonly used inspection method in the industry is manual judgment. After setting up a large screen, the entire screen displays the same grayscale color. The display modules with brightness and color defects are manually selected by observing them from a specific angle. This method requires setting up the screen, disassembling and installing new display modules after problems are found, which is very inefficient. Furthermore, relying on manual experience, sorting errors are prone to occur.

[0025] The applicant's research revealed that, after calibration, the display modules exhibit excellent brightness and color consistency when viewed directly from their normal direction. However, at certain angles, such as approximately 60° from the top, bottom, left, and right (i.e., the angle between the line of sight and the normal direction), display modules with viewing angle brightness and color defects show varying degrees of difference in brightness or color, for example, a reddish or bluish tint. When such display modules are spliced ​​together to form a large display screen, the brightness and color consistency of the screen is extremely poor when viewed from the side.

[0026] Based on this, this application proposes a method for detecting display units, which can analyze the display effect of display units from a side viewing angle, thereby detecting display units and effectively sorting out display units with side viewing angle brightness and color defects.

[0027] To illustrate the technical solution of this application, specific embodiments are described below.

[0028] Figure 1 This diagram illustrates the structure of a detection system for a display unit according to an embodiment of this application. In this embodiment, the detection system 10 for the display unit may include a detection station 101, a data acquisition device 102, and a terminal device 103.

[0029] Specifically, testing station 101 can be used to carry the display unit to be tested.

[0030] The display unit can refer to a display module, a housing consisting of multiple display modules, or other devices with display capabilities. Specifically, a display module can consist of a driver chip and LEDs. The LEDs can be lit under the control of the driver chip, causing the display module to display the corresponding color. A single display module typically includes LEDs of three colors: red, green, and blue. However, this application does not exclude the possibility of a single display module including LEDs of more colors. Furthermore, the aforementioned display unit can be an LED (Light-Emitting Diode) display unit, an OLED (Organic Light-Emitting Diode) display unit, or other types of display units, and this application does not impose any restrictions on this.

[0031] In the embodiments of this application, the display unit can be set on the inspection station 101 manually or by an automated device such as a robotic arm, and the inspection station 101 can light up the display unit to be sorted by means of instruction transmission.

[0032] The acquisition device 102 can be a device with image acquisition capabilities, such as a high-definition camera, optical camera, or industrial camera, and can be used to acquire the display image of the display unit at the target viewing angle when it is lit. It should be noted that in the display unit detection system 10, the number of acquisition devices 102 can be one or more.

[0033] In the embodiments of this application, the target viewing angle is the image acquisition angle at which the acquisition device acquires images of the display unit, and may include at least the side viewing angle of the display unit. The image acquisition angle is the angle between the axial direction of the lens of the acquisition device and the normal direction of the display unit.

[0034] Furthermore, it should be emphasized that there can be one or more target viewpoints. When there is only one target viewpoint, it can be any side viewpoint of the display unit. When there are multiple target viewpoints, they can be multiple different side viewpoints, or a combination of a frontal viewpoint and any number of side viewpoints; this application does not impose any restrictions on this.

[0035] In the embodiments of this application, the acquisition device 102 is connected to the terminal device 103, enabling the transmission of displayed images. The terminal device 103 can be a computer, mobile phone, or other device with computing capabilities, and can be used to sort display units.

[0036] In some specific implementations, the inspection station 101 can be set on a track, and the inspection station 101 can move along the movement direction of the track to the shooting range of the acquisition device 102. When the inspection station 101 moves to the image acquisition angle corresponding to the target viewpoint, the acquisition device 102 can acquire images from the display unit on the inspection station 101.

[0037] In some specific implementations, the aforementioned detection station 101, data acquisition device 102, and terminal device 103 can be integrated into a single design. For example, the detection station 101 can be set on a base, the terminal device 103 can be placed on the same base, and the data acquisition device 102 can be fixed in a specific position by a support frame on the base.

[0038] Figure 2This illustration shows a schematic flowchart of a display unit detection method provided in an embodiment of this application. This method can be applied to terminal devices and is suitable for situations where improved accuracy in display unit sorting is required. It should be understood that the terminal device can be the terminal device 103 in the aforementioned display unit detection system 10, or it can be other terminal devices not constituting a sorting system; this application does not impose any limitations on this.

[0039] Specifically, the detection method for the above-mentioned display unit may include the following steps S201 to S203.

[0040] Step S201: Obtain the display image of the display unit at the target viewing angle when the display unit is lit.

[0041] In the embodiments of this application, in order to analyze the display effect of the display unit on the side under test, the lamps of the display unit can be controlled to be lit up, so that the display unit is in a lit state, and when the display unit is in a lit state, the display image located at the target viewing angle is acquired by the acquisition device 102.

[0042] The target viewing angle can refer to the image acquisition angle of the acquisition device when acquiring images of the display unit, and can be characterized as the angle between the axial direction of the lens of the acquisition device 102 and the normal direction of the display unit.

[0043] In embodiments of this application, the target viewing angle may include at least one side view. The image acquisition angle corresponding to the side view is greater than 0. In order to clearly distinguish it from the front view, the image acquisition angle corresponding to the side view may be greater than or equal to 30 degrees, preferably 60 degrees.

[0044] It is important to emphasize that there can be one or more target viewpoints, and the number of side viewpoints within a target viewpoint can also be one or more. When there is only one target viewpoint, it is any side viewpoint of the display unit. When there are multiple target viewpoints, they can be multiple different side viewpoints, or a combination of a frontal viewpoint and any number of side viewpoints. Furthermore, if the target viewpoint includes multiple side viewpoints, the image acquisition angles corresponding to these multiple side viewpoints can be different. The image acquisition angle corresponding to the frontal viewpoint is equal to 0, which corresponds to the normal direction of the display unit. Considering the possibility of unavoidable errors, any difference between the image acquisition angle corresponding to the frontal viewpoint and 0 within the allowable error range can be considered a frontal viewpoint. For example, the image acquisition angle corresponding to the frontal viewpoint can be from -10° to 10°.

[0045] In the embodiments of this application, the images of adjacent lamps within a display unit in each display image are connected or at least partially overlap, that is, the images of adjacent lamps within a display unit in the display image are in a state of adhesion. This mimics the state of lamps adhering to each other when the human eye observes a display unit, making the sorting results closer to the evaluation results observed by the human eye. Preferably, the degree of overlap between the images of adjacent lamps within a display unit in the display image is less than or equal to 90%.

[0046] Specifically, before image acquisition, the user or terminal device can adjust the acquisition parameters of the acquisition device 102 until the images of adjacent light points in the displayed image are connected or at least partially overlapped. The adjusted acquisition parameters are related to image sharpness, and may include, for example, focal length, macro focus, aperture size, exposure time, etc. After adjustment, the acquisition device can be controlled to acquire images from the display unit to obtain the display image corresponding to the target viewing angle, thereby enabling the terminal device to acquire the display image corresponding to the target viewing angle.

[0047] Step S202: Determine the optical data of the display unit at the target viewing angle based on the displayed image.

[0048] It should be understood that since the displayed image is an image captured when the display unit is lit, the image content can characterize the display effect when the display unit is lit, and the display effect can be represented by optical data. Therefore, based on the displayed image, the optical data of the display unit at the corresponding target viewing angle can be determined. In other words, optical data can be used to characterize the display effect of the display unit at the corresponding target viewing angle.

[0049] The aforementioned optical data may include at least one of luminance data, chromaticity data, and luminous flux data. Luminous flux data can be used to characterize the luminous flux per unit area within the display unit. Luminance data can be used to characterize the brightness of the display unit. Chromaticity data can be used to characterize the hue and / or saturation of the colors in the display unit.

[0050] Step S203: Sorting the display units according to the optical data of the display units at the target viewing angle.

[0051] In the embodiments of this application, based on optical data from the target viewing angle, low-quality display units with display problems in the side viewing angle can be detected, and the display units can then be sorted.

[0052] In the embodiments of this application, by acquiring the display image of the display unit in the lit state at the target viewing angle, and determining the optical data of the display unit at the target viewing angle based on the display image, the display units are sorted according to the optical data of the display unit at the target viewing angle. The target viewing angle includes the side viewing angle of the display unit. Therefore, the display units can be sorted based on the display effect of the display unit at the side viewing angle. Compared with the conventional sorting of display units from the front viewing angle, it can effectively screen out display modules that have good brightness and color consistency when viewed from the front, but have obvious display defects when viewed from the side, which helps to improve the accuracy of sorting display modules.

[0053] Furthermore, the aforementioned display unit can refer to a display module. By directly detecting and sorting the display units, it is not necessary to splice the display modules into a large screen. Compared to the human eye sorting method in related technologies, the sorting method provided in this application embodiment can be automatically implemented by the terminal device, improving the detection efficiency of the display units. At the same time, different display units can be image acquired and sorted using the same target viewing angle, making the sorting standard more uniform.

[0054] The detection process of the display unit will be described below through specific embodiments.

[0055] Before acquiring and displaying an image, the terminal device can control the display unit to display a preset color at a preset grayscale, so that the display unit is lit up.

[0056] The preset grayscale is the grayscale displayed by the display unit, such as the highest grayscale of the display screen. The preset color is the color displayed by the display unit, including but not limited to red, green, blue, white, etc.

[0057] After the display unit is lit up, the acquisition device can acquire images of the display unit from the target viewpoint.

[0058] Specifically, in some implementations, the target viewpoint may include multiple side views, which correspond to different image acquisition angles or lens axis directions. For example, Figure 3 A schematic diagram of a capture and display unit of a data acquisition device is shown. Figure 3 The three acquisition devices (acquisition device 31, acquisition device 32, and acquisition device 33) have the same image acquisition angle (all 60°), but the axis directions of their lenses are different.

[0059] To facilitate subsequent image processing, these multiple side viewpoints can be located on both sides of the normal to the display unit; more specifically, these multiple side viewpoints can be symmetrically distributed with the normal direction of the display unit as the axis of symmetry. For example, Figure 4 A schematic diagram of a capture and display unit of a data acquisition device is shown. Figure 4The two acquisition devices (acquisition device 41 and acquisition device 42) have the same image acquisition angle (both are 60°), and the axis of the lens is symmetrical about the normal direction of the display unit.

[0060] In some embodiments, the target viewing angle also includes an orthographic viewing angle, where the image acquisition angle can be between -10° and 10°, preferably 0°, meaning the axis of the acquisition device's lens is perpendicular or nearly perpendicular to the display unit. For example, Figure 5 A schematic diagram of a capture and display unit of a data acquisition device is shown. Figure 5 The two acquisition devices (acquisition device 51 and acquisition device 52) shooting from the side view have the same image acquisition angle (both are 60°), and the axis of the lens is symmetrical about the normal direction of the display unit. Meanwhile, the acquisition device (acquisition device 53) shooting from the front view has an image acquisition angle of 0°.

[0061] In some implementations, a data acquisition device corresponding to the target viewing angle can be provided. This acquisition device can be used to acquire images of the display unit from the image acquisition angle corresponding to the target viewing angle. Specifically, when the acquisition device acquires a display image from a side viewpoint, the angle between the axis of the acquisition device's lens and the normal direction of the display unit is greater than or equal to 45 degrees, preferably 60 degrees.

[0062] When there are multiple target viewpoints, there can be multiple acquisition devices. These multiple acquisition devices can be set up around the display unit under test from 0° to 360°.

[0063] When there are multiple target viewpoints, the number of acquisition devices can also be one. This acquisition device can acquire images from different target viewpoints by changing its pose. This application does not impose any restrictions on this.

[0064] After acquiring the displayed image, the terminal device can determine the optical data of the display unit based on the displayed image.

[0065] For example, the optical data of the display unit can be determined based on the pixel information of the pixels in the displayed image.

[0066] The optical data of the display unit can be represented by the channel values ​​of each channel in the RGB color space, CIELCH color space, or other color spaces, and this application does not impose any restrictions on this. For example, the optical data of the display unit can be represented by classification features. The representation is as follows: N is a positive integer greater than or equal to 1, representing the total number of target viewing angles; L can represent the brightness data of the display unit; and C can represent the chromaticity data of the display unit.

[0067] After obtaining the optical data of the display unit, the terminal device can use the optical data to sort the display units.

[0068] In some embodiments, the target viewing angle also includes the frontal viewing angle of the display unit. The optical data of the display unit in the side viewing angle is called side-view optical data, and the optical data of the display unit in the frontal viewing angle is called frontal viewing optical data. Accordingly, the terminal device can sort the display units based on the frontal viewing optical data and the side-view optical data.

[0069] In other embodiments, there are multiple side viewing angles. Accordingly, the terminal device can sort the display units based on the optical data of the display units at each side viewing angle.

[0070] For example, display units can be sorted by calculating the deviation between optical data from two different target viewpoints. In this case, display units with significantly inconsistent display effects from different viewpoints can be filtered out.

[0071] Considering that sorting by deviation requires optical data from at least two target viewpoints, this application proposes a new sorting method that can adapt to cases where there is only one target viewpoint and cases where there are multiple target viewpoints.

[0072] Specifically, in some implementation methods, such as Figure 6 As shown, step S203 above may include steps S601 to S603.

[0073] Step S601: Acquire sample optical data of multiple sample display units at the target viewpoint.

[0074] To enable sorting based on the optical data of the display units, the terminal device can acquire sample optical data from multiple sample display units at the same target viewpoint. The sample display units are used for comparison with the display unit to be inspected. These multiple sample display units can be display units with side-view luminance / chromaticity display defects, display units with normal display, or other display units; this application does not impose any limitations on this. Preferably, the sample display units can include various types of display units (such as display units with side-view luminance / chromaticity display defects and display units with normal display) to pre-classify the display units of each type.

[0075] It should be understood that the method for acquiring the optical data of the sample can refer to the method for acquiring the optical data of the display unit to be tested, and this application will not elaborate on this.

[0076] Step S602: Based on the sample optical data, classify multiple sample display units to obtain at least one candidate classification.

[0077] In other words, before sorting the display units to be inspected, the terminal device can first use the sample optical data of multiple sample display units to classify them and obtain at least one candidate classification. Each candidate classification corresponds to a possible type of display unit, or in other words, different candidate classifications can indicate whether a display unit has display defects and the type of display defects.

[0078] Specifically, in at least one candidate category, the difference between the sample optical data of each sample display unit within the same candidate category is less than a first difference threshold. The first difference threshold can be set according to actual conditions. In other words, the sample optical data can be clustered so that the sample optical data of sample display units within the same candidate category have small differences, while the sample optical data of sample display units between different candidate categories have large differences.

[0079] Specifically, based on the sample optical data of each sample display unit, the display characteristics of that sample display unit can be determined. For example, the display characteristics of the sample display unit... This represents the optical data from the perspective of the Nth target, where N is a positive integer greater than or equal to 1.

[0080] Next, the differences in display features between each sample display unit and other sample display units can be calculated. For example, the difference in display features between the i-th sample display unit and the j-th sample display unit is... in, This represents the distance between two display features, where w is a preset weight vector, and diag(w) represents a weight-based diagonal matrix.

[0081] At this point, using the preset first difference threshold D, all sample display units can be pre-classified into K classes. K is a positive integer greater than or equal to 1. These K classes are also known as K candidate classifications, denoted as C. k ∈{C1,C2,C3,……,C K For any two display units i and j belonging to the same candidate classification sample, the display features corresponding to their sample optical data are... and All

[0082] Step S603: Based on the optical data of the display unit at the target viewing angle and the sample optical data of each sample display unit in each candidate category in at least one candidate category, the display unit is assigned to the target category in at least one candidate category.

[0083] Specifically, the difference between the optical data of the display unit at the target's viewpoint and the sample optical data of each sample display unit in the target classification is less than a second difference threshold. The second difference threshold can be set according to actual conditions; for example, it can be set to the same as the first difference threshold D.

[0084] When the difference between the optical data of the display unit at the target viewpoint and the sample optical data of each sample display unit in a certain category is less than the second difference threshold, it indicates that the display effect of the display unit is similar to the display effect of the sample display units in that category. This means that the display unit and the sample display units in that category are the same type of display unit. Therefore, the display unit can be classified into that category (i.e., the target category).

[0085] Specifically, the optical data of the display unit to be tested can be represented as display features. Starting from the first candidate category, the terminal device iterates through all samples within the same candidate category, calculating the display features corresponding to their optical data. If a candidate classification C K Display features corresponding to any sample optical data in All satisfied Then this candidate can be classified as C K As the target classification, Add to target category C k ,Right now The classification is now complete.

[0086] If a candidate classification C K There exists a display feature corresponding to any sample optical data. Not satisfied Then, the display features corresponding to the optical data of all samples in the next candidate category can be traversed and calculated. Continue until all candidate categories have been traversed.

[0087] If the target category is not found after iterating through all candidate categories, the terminal device can add a new category C. k+1 and will Add to new category C k+1 ,Right now The classification is now complete.

[0088] pass Figure 6 As shown, regardless of whether there is one or more target viewpoints, the display units can be sorted by comparing with the sample optical data. The more types of sample display units selected, the more accurate the sorting results will be.

[0089] For other implementation methods, please refer to Figure 7The above step S203 may include steps S701 to S703.

[0090] Step S701: Determine the classification features for classifying the display units based on the optical data of the display units at the target viewing angle.

[0091] In embodiments of this application, the classification features characterize one or more features among the display features of the display unit at the target viewing angle. Specifically, the aforementioned optical data may include luminance data L and chromaticity data C of the display unit at the target viewing angle, and the display features can be represented as follows: The display feature can be one or more of L and C. When there are multiple target viewpoints, for example, when the target viewpoints include two different side viewpoints, left and right, the display feature can be represented as follows: The classification feature can be any one of the features, or the brightness data of each target viewpoint, i.e., L. left and L right Chromaticity data from various target viewpoints, i.e., C left and C right It can also be all features, i.e., L left L right C left and C right This application does not impose any restrictions on this.

[0092] Step S702: Determine the classification value of the classification feature based on the classification interval satisfied by the classification feature and the mapping relationship between the classification interval and the classification value.

[0093] Specifically, since each classification feature has a corresponding value, and different values ​​of the classification feature represent different display effects, the value range of the classification feature can be divided into multiple classification intervals. Simultaneously, a corresponding classification value is assigned to each classification interval, representing the display effect corresponding to that interval. Based on the classification value corresponding to each classification interval, a mapping relationship between the classification interval and the classification value can be generated. Furthermore, based on the classification interval satisfied by the classification feature of the display unit to be detected, and the mapping relationship between the classification interval and the classification value, the classification value of the classification feature of the display unit to be detected can be determined.

[0094] Step S703: Sort the display units according to the classification value.

[0095] Since different classification values ​​can characterize the display effect corresponding to the classification interval, the display effect of the display unit to be detected can be analyzed based on the classification value of the classification feature of the display unit to be detected, and then the display unit can be sorted according to the display effect.

[0096] For example, suppose a display unit has the following display characteristics Display features Classification features L left =175, and the mapping relationship between the classification interval and the classification value is as follows:

[0097]

[0098] Then the classification feature L of this display unit left A classification value of 3 indicates that the brightness of the display unit when viewed from the left side is between the brightness corresponding to a classification value of 2 and a classification value of 4.

[0099] Considering that there can be multiple classification features and multiple target perspectives, the terminal device can determine the classification value of each classification feature and perform sorting based on the classification value of each classification feature.

[0100] In some implementations, the terminal device can combine classification values ​​of different classification features into classification coordinates, and then assign the display unit to the category corresponding to the classification coordinates.

[0101] For example, in the aforementioned determination of the classification feature L of the display unit left After the classification value is 3, if the classification feature L of this display unit is... right =80, and the mapping relationship between the classification interval and the classification value is as follows:

[0102]

[0103] Then the classification feature L of this display unit left A classification value of 2 indicates that the brightness of the display unit when viewed from the right side falls between the brightness values ​​corresponding to "classification value 1" and "classification value 3". Therefore, the classification coordinates of this display unit can be represented as (classify(L... left ),classify(L right ))=(3,2).

[0104] Due to classify(L right )∈[0,4],classify(L right If (0,4)∈[0,4], then there are 25 classification coordinates: (0,0), (0,1), (0,2), ..., (4,2), (4,3) and (4,4), corresponding to 25 classifications of display units. If the classification coordinate of the display unit to be detected is (3,2), then the display unit to be detected can be classified into the category corresponding to the classification coordinate (3,2).

[0105] Understandably, the number of classification features used, and the order of the various classification features in the classification coordinates, can be selected according to the actual situation.

[0106] In other implementations, a weighted average of each classification feature can be calculated or a representation collapse can be performed on each classification feature to obtain the final feature value. Based on the classification interval satisfied by the feature value and the mapping relationship between the classification interval and the classification value, the classification value of the classification feature can be determined for sorting.

[0107] In the embodiments of this application, the classification value of the classification feature is determined by the classification interval satisfied by the classification feature and the mapping relationship between the classification interval and the classification value. The display unit is then sorted according to the classification value. The display effect represented by each classification feature can be referenced to analyze the actual display effect of the display unit, thereby completing the sorting of the display unit.

[0108] In practical applications, considering that display modules packaged with surface-mount devices (SMD) are prone to "yin-yang" display defects, specifically manifested as left-bright-right-dark, left-dark-right-bright, top-bright-bottom-dark, or top-dark-bottom-bright phenomena, the target viewing angle in the above detection method can include side viewing angles located on both sides of the normal of the display unit. In this case, if the difference in optical data between the side viewing angles on both sides of the normal of the display unit is greater than a third difference threshold, the display unit can be classified as a yin-yang display unit, i.e., a display unit with a "yin-yang" display defect.

[0109] The third difference threshold can be set according to the actual situation. Furthermore, when testing the display unit on the dark and light sides, the selected optical data can specifically refer to brightness data.

[0110] Similarly, in Figure 7 In the described method, the classification values ​​that make up the classification coordinates can include the classification values ​​of the classification features from the side views on both sides of the normal. For example, the aforementioned classify(L left ) and classify(L right The corresponding left and right viewpoints can be symmetrically distributed with the normal direction of the display unit as the axis of symmetry.

[0111] Correspondingly, such as Figure 8 As shown, this application also provides a two-sided surface detection system 80 specifically for detecting and sorting display units with "two-sided surface" display defects. The two-sided surface detection system 80 may include:

[0112] Inspection station 801 is used to hold the display unit to be inspected;

[0113] Acquisition device 802 is used to acquire the display image of the display unit when it is lit, located at a target viewing angle. The target viewing angle may include side views located on either side of the normal to the display unit.

[0114] It should be noted that, Figure 8 The image shows two acquisition devices 802 corresponding to two side views, which are located on both sides of the normal of the display unit. In actual applications, there can also be one acquisition device 802. The acquisition device 802 can acquire display images of the two side views by changing its pose.

[0115] Terminal device 803 is used to sort display units. The sorting of display units by terminal device 803 can be referred to the aforementioned method. Figures 1 to 7 The explanations provided are not repeated here.

[0116] It should be noted that, for the sake of simplicity, the aforementioned method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders.

[0117] like Figure 9 The diagram shown is a structural schematic of a display unit detection device 900 provided in an embodiment of this application. The display unit detection device 900 is configured on a terminal device.

[0118] Specifically, the detection device 900 of the display unit may include:

[0119] The acquisition unit 901 is used to acquire the display image of the display unit in the lit state at the target viewing angle, wherein the target viewing angle includes at least the side viewing angle of the display unit;

[0120] The determining unit 902 is configured to determine optical data of the display unit at the target viewing angle based on the displayed image, wherein the optical data includes at least one of luminance data, chromaticity data, and luminous flux data;

[0121] The sorting unit 903 is used to sort the display units according to the optical data of the display units at the target viewing angle.

[0122] In some embodiments of this application, the sorting unit 903 may be specifically used to: acquire sample optical data of a plurality of sample display units at the target viewing angle; classify the plurality of sample display units according to the sample optical data to obtain at least one candidate classification, wherein the difference between the sample optical data of each sample display unit within the same candidate classification is less than a first difference threshold; classify the display unit into the target classification in the at least one candidate classification according to the optical data of the display unit at the target viewing angle and the sample optical data of each sample display unit within each candidate classification in the at least one candidate classification, wherein the difference between the optical data of the display unit at the target viewing angle and the sample optical data of each sample display unit in the target classification is less than a second difference threshold.

[0123] In some embodiments of this application, the sorting unit 903 described above may be specifically used to: determine classification features for classifying the display unit based on the optical data of the display unit at the target viewing angle; determine the classification value of the classification feature based on the classification interval satisfied by the classification feature and the mapping relationship between the classification interval and the classification value; and sort the display unit based on the classification value.

[0124] In some embodiments of this application, the sorting unit 903 described above can be specifically used to: combine the classification values ​​of different classification features into classification coordinates; and divide the display unit into the classification corresponding to the classification coordinates.

[0125] In some embodiments of this application, the target viewing angle further includes the frontal viewing angle of the display unit; the optical data of the display unit in the side viewing angle is side viewing optical data, and the optical data of the display unit in the frontal viewing angle is frontal viewing optical data; the sorting unit 903 can be specifically used to sort the display units according to the frontal viewing optical data and the side viewing optical data.

[0126] In some embodiments of this application, there are multiple side viewing angles; the sorting unit 903 can be specifically used to sort the display units according to the optical data of the display units at each side viewing angle.

[0127] In some embodiments of this application, the side view in the target view includes the side view located on both sides of the normal of the display unit; the sorting unit 903 can be specifically used to classify the display unit as a yin-yang display unit if the difference in optical data of the display unit on the side view on both sides of the normal is greater than a third difference threshold.

[0128] In some embodiments of this application, the above-mentioned display image is acquired by an acquisition device. When the acquisition device acquires the display image from the side view, the angle between the axial direction of the lens of the acquisition device and the normal direction of the display unit is greater than or equal to 45 degrees.

[0129] It should be noted that, for the sake of convenience and brevity, the specific working process of the detection device 900 of the above-mentioned display unit can be found in the following reference: Figures 1 to 8 The corresponding process of the method will not be described in detail here.

[0130] like Figure 10 The diagram shown is a schematic of a terminal device provided in an embodiment of this application. Specifically, the terminal device 100 may include: a processor 1000, a memory 1001, and a computer program 1002 stored in the memory 1001 and executable on the processor 1000, such as a detection program for a display unit. When the processor 1000 executes the computer program 1002, it implements the steps in the above-described embodiments of the detection methods for various display units, for example... Figure 2 The steps S201 to S203 are shown. Alternatively, when the processor 1000 executes the computer program 1002, it implements the functions of each module / unit in the above-described device embodiments, for example... Figure 9 The functions of the acquisition unit 901, determination unit 902, and sorting unit 903 are shown.

[0131] The computer program can be divided into one or more modules / units, which are stored in the memory 1001 and executed by the processor 1000 to complete this application. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the terminal device.

[0132] For example, the computer program can be divided into: an acquisition unit, a determination unit, and a sorting unit. The specific functions of each unit are as follows: the acquisition unit is used to acquire the display image of the display unit in the lit state at a target viewing angle, the target viewing angle including at least the side viewing angle of the display unit; the determination unit is used to determine the optical data of the display unit at the target viewing angle based on the display image, the optical data including at least one of luminance data, chromaticity data, and luminous flux data; the sorting unit is used to sort the display units based on the optical data of the display units at the target viewing angle.

[0133] The terminal device may include, but is not limited to, a processor 1000 and a memory 1001. Those skilled in the art will understand that... Figure 10This is merely an example of a terminal device and does not constitute a limitation on the terminal device. It may include more or fewer components than shown, or combine certain components, or different components. For example, the terminal device may also include input / output devices, network access devices, buses, etc.

[0134] The processor 1000 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0135] The memory 1001 can be an internal storage unit of the terminal device, such as a hard drive or RAM. The memory 1001 can also be an external storage device of the terminal device, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, the memory 1001 can include both internal and external storage units. The memory 1001 is used to store the computer program and other programs and data required by the terminal device. The memory 1001 can also be used to temporarily store data that has been output or will be output.

[0136] It should be noted that, for the sake of convenience and brevity, the structure of the terminal device described above can also be referred to the specific description of the structure in the method embodiment, which will not be repeated here.

[0137] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0138] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0139] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for various specific applications, but such implementations should not be considered beyond the scope of this application.

[0140] In the embodiments provided in this application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling or direct coupling or communication connection may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0141] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0142] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0143] If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0144] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for detecting a display unit, characterized in that, include: The acquisition device obtains a display image of the display unit in the lit state at a target viewing angle, wherein the target viewing angle includes at least the side view of the display unit. When the acquisition device acquires the display image of the side view, the angle between the axis of the lens of the acquisition device and the normal direction of the display unit is greater than or equal to 45 degrees. Before acquiring the display image, the acquisition device adjusts the acquisition parameters until the images of adjacent lamp points in the display unit in each display image are connected or at least partially overlapped, and the degree of image overlap is less than or equal to 90%. The adjusted acquisition parameters are related to the image sharpness. Based on the displayed image, the optical data of the display unit at the target viewing angle are determined, and the optical data includes at least one of luminance data, chromaticity data, and luminous flux data; Based on the optical data of the display unit at the target viewing angle, the display units are sorted to identify those with side-view brightness and color display defects, including display units with yin-yang surfaces.

2. The detection method for the display unit as described in claim 1, characterized in that, The step of sorting the display units based on optical data of the display units at the target viewing angle includes: Acquire sample optical data from multiple sample display units at the target viewpoint; Based on the sample optical data, the plurality of sample display units are classified to obtain at least one candidate classification. The difference between the sample optical data of each sample display unit within the same candidate classification is less than a first difference threshold. Based on the optical data of the display unit at the target viewing angle and the sample optical data of each sample display unit in each of the at least one candidate categories, the display unit is assigned to the target category in the at least one candidate category, wherein the difference between the optical data of the display unit at the target viewing angle and the sample optical data of each sample display unit in the target category is less than a second difference threshold.

3. The detection method for the display unit as described in claim 1, characterized in that, The step of sorting the display units based on optical data of the display units at the target viewing angle includes: Based on the optical data of the display unit at the target viewing angle, classification features for classifying the display unit are determined; The classification value of the classification feature is determined based on the classification interval satisfied by the classification feature and the mapping relationship between the classification interval and the classification value. The display units are sorted according to the classification values.

4. The detection method for the display unit as described in claim 3, characterized in that, When there are multiple classification features, the step of sorting the display units according to the classification values ​​includes: The classification values ​​of different classification features are combined into classification coordinates; The display unit is assigned to the category corresponding to the classification coordinate.

5. The method for detecting a display unit as described in any one of claims 1 to 4, characterized in that, The target viewing angle also includes the frontal viewing angle of the display unit; the optical data of the display unit in the side viewing angle is side viewing angle optical data, and the optical data of the display unit in the frontal viewing angle is frontal viewing angle optical data; The step of sorting the display units based on optical data of the display units at the target viewing angle includes: The display units are sorted based on the frontal optical data and the side optical data.

6. The method for detecting a display unit as described in any one of claims 1 to 4, characterized in that, The number of side viewpoints is multiple; The step of sorting the display units based on optical data of the display units at the target viewing angle includes: The display units are sorted according to the optical data of the display units at each side view.

7. The detection method for the display unit as described in claim 6, characterized in that, The side view in the target view includes the side view located on both sides of the normal of the display unit; The step of sorting the display units based on optical data of the display units at each side viewing angle includes: If the difference in optical data of the display unit on the side viewing angles on both sides of the normal is greater than the third difference threshold, then the display unit is classified as a yin-yang display unit.

8. A detection device for a display unit, characterized in that, The detection device for the display unit, configured in a terminal device, includes: An acquisition unit is used to acquire the display image of the display unit in the lit state at a target viewing angle. The target viewing angle includes at least the side view of the display unit. When the acquisition device acquires the display image of the side view, the angle between the axial direction of the lens of the acquisition device and the normal direction of the display unit is greater than or equal to 45 degrees. Before acquiring the display image, the acquisition device adjusts the acquisition parameters until the images of adjacent lamp points in the display unit in each display image are connected or at least partially overlapped, and the degree of image overlap is less than or equal to 90%. The adjusted acquisition parameters are related to the image sharpness. A determining unit is configured to determine optical data of the display unit at the target viewing angle based on the displayed image, wherein the optical data includes at least one of luminance data, chromaticity data, and luminous flux data; The sorting unit is used to sort the display units according to the optical data of the display units at the target viewing angle, so as to sort out the display units with side-view brightness and color display defects, the display units with side-view brightness and color display defects including the yin-yang surface display units.

9. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the detection method for the display unit as described in any one of claims 1 to 7.

10. A detection system for a display unit, characterized in that, include: The testing station is used to hold the display unit to be tested; An acquisition device is used to acquire the display image of the display unit in the lit state at a target viewing angle. The target viewing angle includes at least the side view of the display unit. When the acquisition device acquires the display image of the side view, the angle between the axial direction of the lens of the acquisition device and the normal direction of the display unit is greater than or equal to 45 degrees. Before acquiring the display image, the acquisition device adjusts the acquisition parameters until the images of adjacent lamp points in the display unit in each display image are connected or at least partially overlapped, and the degree of image overlap is less than or equal to 90%. The adjusted acquisition parameters are related to the image sharpness. A terminal device is used to sort the display units according to the detection method of any one of claims 1 to 7, so as to sort out the display units with side-view brightness and color display defects, wherein the display units with side-view brightness and color display defects include the display units with uneven surface.

11. A system for detecting the yin and yang sides of a display unit, characterized in that, include: The testing station is used to hold the display unit to be tested; An acquisition device is used to acquire the display image of the display unit in the lit state at a target viewing angle. The target viewing angle includes side views located on both sides of the normal of the display unit. When the acquisition device acquires the display image of the side views, the angle between the axis of the lens of the acquisition device and the normal of the display unit is greater than or equal to 45 degrees. Before acquiring the display image, the acquisition device adjusts the acquisition parameters until the images of adjacent lamp points in the display unit in each display image are connected or at least partially overlapped, and the degree of image overlap is less than or equal to 90%. The adjusted acquisition parameters are related to the image sharpness. A terminal device is used to sort the display units according to the detection method of any one of claims 1 to 7, so as to sort out the display units with side-view brightness and color display defects, wherein the display units with side-view brightness and color display defects include the display units with uneven surface.

12. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the detection method for the display unit as described in any one of claims 1 to 7.

Images