CN112164663B - Detection method, detection device, and storage medium - Google Patents
Detection method, detection device, and storage medium Download PDFInfo
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- CN112164663B CN112164663B CN202011173383.4A CN202011173383A CN112164663B CN 112164663 B CN112164663 B CN 112164663B CN 202011173383 A CN202011173383 A CN 202011173383A CN 112164663 B CN112164663 B CN 112164663B
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01L—SEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
- H01L22/00—Testing or measuring during manufacture or treatment; Reliability measurements, i.e. testing of parts without further processing to modify the parts as such; Structural arrangements therefor
- H01L22/10—Measuring as part of the manufacturing process
- H01L22/12—Measuring as part of the manufacturing process for structural parameters, e.g. thickness, line width, refractive index, temperature, warp, bond strength, defects, optical inspection, electrical measurement of structural dimensions, metallurgic measurement of diffusions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30121—CRT, LCD or plasma display
Abstract
The embodiment of the application provides a detection method, a detection device and a storage medium, wherein the detection method is used for detecting a display device, the display device comprises a display panel, a driving chip and a flexible circuit board, the display panel comprises a binding area, the driving chip is bound to the binding area through the flexible circuit board, and the detection method comprises the following steps: transmitting a detection signal to the binding region; receiving a reflected signal formed by the detection signal passing through the binding area; generating image information of the binding area according to the reflected signal; analyzing the image information through a preset image algorithm to obtain an analysis result; and detecting whether the binding area meets preset conditions or not according to the analysis result. According to the embodiment of the application, the image information of the binding region is generated through the detection signal, and the image information is automatically analyzed through the preset image algorithm, so that manual intervention is not needed, and the efficiency of detecting the binding region can be improved.
Description
Technical Field
The present application relates to the field of electronic technologies, and in particular, to a detection method, a detection apparatus, and a storage medium.
Background
With the development of communication technology, electronic devices such as smartphones are becoming more popular. In the use process of the electronic equipment, the electronic equipment can display pictures by adopting a display screen of the electronic equipment. For better display effect and user experience, the size of the display screen is larger and larger, but the display screen of the electronic device is difficult to hold after exceeding a certain size, so that the improvement of the screen occupation ratio of the display screen is more and more important.
In the related art, a special packaging mode, such as a Chip On Flex (COF) or Chip On Film packaging technology, is generally needed to improve the screen occupation ratio of the display screen, while the COF packaging technology needs to bind and connect the driving Chip and the flexible circuit board, and generally, whether the binding of the driving Chip and the flexible circuit board is successful or not is detected manually, so that the manual detection efficiency is low.
Disclosure of Invention
The embodiment of the application provides a detection method, a detection device and a storage medium, which can improve the detection efficiency of a binding area.
The embodiment of the application provides a detection method for detecting a display device, wherein the display device comprises a display panel, a driving chip and a flexible circuit board, the display panel comprises a binding area, and the driving chip is bound to the binding area through the flexible circuit board, and the method comprises the following steps:
transmitting a detection signal to the binding region;
receiving a reflected signal formed by the detection signal passing through the binding area;
generating image information of the binding area according to the reflected signal;
analyzing the image information through a preset image algorithm to obtain an analysis result;
and detecting whether the binding area meets preset conditions or not according to the analysis result.
The embodiment of the application also provides a detection device for detecting a display device, the display device comprises a display panel, a driving chip and a flexible circuit board, the display panel comprises a binding area, the driving chip is bound to the binding area through the flexible circuit board, and the detection device comprises:
the transmitting module is used for transmitting detection signals to the binding area;
the receiving module is used for receiving a reflected signal formed by the detection signal passing through the binding area;
the generation module is used for generating image information of the binding area according to the reflection signal;
the analysis module is used for analyzing the image information through a preset image algorithm to obtain an analysis result;
and the detection module is used for detecting whether the binding area accords with a preset condition according to the analysis result.
The embodiment of the present application also provides a storage medium having stored thereon a computer program which, when run on a computer, causes the computer to perform the detection method as described above.
According to the embodiment of the application, the image information of the binding area is generated by receiving the reflected signal formed by the detection signal passing through the binding area, and the image information is automatically analyzed through the preset image algorithm without manual intervention, so that the efficiency of detecting the binding area can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the description of the embodiments will be briefly described below.
Fig. 1 is a schematic structural diagram of a display device according to an embodiment of the present application.
Fig. 2 is a schematic flow chart of a detection method according to an embodiment of the present application.
Fig. 3 is a schematic diagram of a second flow chart of the detection method according to the embodiment of the present application.
Fig. 4 is a schematic structural diagram of a binding area of a display panel according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of a detection device according to an embodiment of the present application.
Detailed Description
The embodiment of the application provides a detection method, a detection device and a storage medium, and the technical scheme in the embodiment of the application is clearly and completely described below with reference to the accompanying drawings in the embodiment of the application.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a display device according to an embodiment of the application.
The display device 10 may display a screen. The display device 10 may be an Organic Light-Emitting Diode display device 10 (OLED). The display surface of the display device 10 may have a larger display area and a narrower non-display area, or the display device 10 may have a narrower black border. Of course, the display surfaces of the display device 10 may be all display areas, and no non-display areas are provided, i.e., the display device 10 may be a full screen. Display device 10 may be protected using a display device cover layer such as a transparent glass layer, light transmissive plastic, sapphire, or other transparent dielectric layer.
The display device 10 may have a regular shape, such as a rectangle, a rounded rectangle, or a circle. Of course, in some other possible embodiments, the display device 10 may also have an irregular shape, which is not limited by the embodiment of the present application.
The display device 10 includes a display panel 101, a driving Chip 102, and a flexible circuit board 103, wherein the display panel 101 includes a bonding area 104, and the driving Chip 102 is bonded to the bonding area 104 through the flexible circuit board 103, it is understood that in order to increase the screen ratio of the display panel 101, a Chip On Flex (COF) or Chip On Film (Chip On Film) packaging technology may be used to electrically connect the driving Chip 102 and the display panel 101 so as to drive the display panel 101 to display a picture.
In order to further increase the screen ratio of the display device, the display device 10 provided in the embodiment of the present application may include the first display area 240 and the second display area 220, where the first display area 240 and the second display area 220 may both display the same screen, and the first display area 240 and the second display area 220 may display different screens.
The first display area 240 and the second display area 220 may be adjacent to each other, such as a periphery of the first display area 240 being surrounded by the second display area 220. For example, a portion of the first display area 240 is surrounded by the second display area 220, that is, the first display area 240 is located at an end position or an end connection position of the display device 10. It is understood that the end face connection position of the display device 10 is a position where two end faces of the display device 10 are connected to each other, and may include a portion of the two end faces connected to each other. Note that, the number of the first display areas 240 may be one or plural, and when the number of the first display areas 240 is plural, the plurality of first display areas 240 may be located on the same end face of the display device 10, may be located on a plurality of end faces of the display device 10, or may be located at a plurality of end face connection positions of the display device 10. Or a part of the plurality of first display areas 240 is located at an end face connection position of the display device 10 and a part is located at an end face position of the display device 10.
In the embodiment of the present application, the display area of the second display area 220 may be set to be larger than the display area of the first display area 240, the second display area 220 may be used as a main display area of the display device 10, and the first display area 240 may be used as an auxiliary display area or a functional display area of the display device 10. Such as the light transmittance of the first display area 240 may be set to be greater than the light transmittance of the second display area 220. Therefore, the light transmittance of the first display area 240 can be greatly improved in the non-display state of the first display area 240, and functional devices such as the camera 60 and the sensor can be arranged at the position of the first display area 240, so that the quality of signal transmission of the camera 60 and the sensor through the first display area 240 is improved.
It should be noted that, in some embodiments, the display area of the first display area 240 and the display area of the second display area 220 may be set to be the same, and the display area of the first display area 240 may be set to be larger than the display area of the second display area 220.
In the embodiment of the application, the device such as the camera 60 and the sensor may be disposed below the first display area 240, and the device such as the camera 60 and the sensor may perform signal transmission such as image acquisition in the first display area 240 when the first display area 240 is in the non-display state. Meanwhile, the first display area 240 may display a picture according to the requirement, so as to achieve the integrity of the display device 10 and the integrity of the display area. Not only is a hidden design of the camera 60, the sensor, etc. realized, but also the screen duty ratio of the display device 101 can be increased.
It should be noted that, the positions where the functional devices such as the camera 60 and the sensor are disposed are not limited to the lower portion of the first display area 240, and may be disposed away from the first display area 240, and a light guiding column may be disposed between the functional devices such as the camera 60, the sensor and the first display area 240 to realize signal transmission. The light guiding column can transmit the light signals sent by the functional devices such as the camera 60 and the sensor to the first display area 240, and transmit the light to the outside through the first display area 240. The light guide column may also transmit external light signals of the light-transmitting first display area 240 to functional devices such as the camera 60 and the sensor. The light guide column can be of a cylindrical structure or a multi-section structure. When the light guide column is of a multi-section structure, the light guide column can be provided with at least one light guide surface so as to realize the reflection of the light signals.
In order to set the light transmittance of the first display area 240 to be greater than that of the second display area 220, the embodiment of the present application may set a driving unit, such as a Thin Film Transistor (TFT), for driving the first display area 240 in the display device 10 outside the first display area 240. Such as in a driving layer structure of the display device 10 driving the second display area 220, such as at a side or periphery of the display device 10, and such as in a non-display area of the display device 10. For example, a dual driving layer structure is further provided in the display device 10, and a driving unit such as a TFT for driving the first display area 240 is provided in the driving layer structure corresponding to the second display area 220 in a via manner.
In the display device provided by the embodiment of the application, because the driving units of different display areas are bound with the driving chip through the flexible circuit board, the phenomenon of poor contact of the conductive particles of the binding area is easy to occur in the binding process through the COF packaging technology, and in the related technology, whether the phenomenon of poor contact of the conductive particles of the binding area occurs is often judged through manual detection, such as the electrical characteristics of the conductive particles of the binding area, such as impedance parameters and the like, so that the detection efficiency is lower and the production cost is higher.
In order to improve the efficiency of detecting the binding area, an embodiment of the present application provides a detection method, please refer to fig. 2, fig. 2 is a first flow chart of the detection method provided by the embodiment of the present application. The detection method comprises the following steps:
and 201, transmitting a detection signal to the binding area.
202, receiving a reflected signal formed by the detection signal passing through the binding area.
Regarding steps 201 to 202:
the detection signal may be sent to the bonding area by a signal transmitter, where the detection signal may include, but is not limited to, a detection signal such as a laser, infrared, or ultrasonic, and the detection signal may be a signal that may be reflected after hitting an obstacle, such as a detection signal that may form a reflected signal after passing through the bonding area, and the reflected signal may be received by a signal receiver.
And 203, generating image information of the binding area according to the reflected signal.
By processing the reflected signals, the image signals of the binding region can be obtained, and it can be understood that the reflected signals after the detection signals touch different positions of the binding region are different due to different structures of different positions of the binding region, the image information of different positions of the binding region can be obtained by analyzing and processing the reflected signals, and the image information of the binding region can be obtained by combining the image information of different positions.
204, analyzing the image information through a preset image algorithm to obtain an analysis result.
And analyzing the image information through a preset image algorithm such as a pixel point parameter algorithm, a pixel point position distribution algorithm or a neural network model and the like to obtain an analysis result.
205, detecting whether the binding area meets preset conditions according to the analysis result.
Judging whether the binding area is successfully bound according to the analysis result, and if the binding area is not successfully bound, easily causing the phenomenon of poor display, such as various problems of screen display, black screen or dark line, in the using process of the display device. It is therefore important to detect whether the bonding between the driver chip and the flexible wiring board is successful.
According to the embodiment of the application, the image information of the binding area is generated by receiving the reflected signal formed by the detection signal passing through the binding area, and the image information is automatically analyzed through the preset image algorithm without manual intervention, so that the efficiency of detecting the binding area can be improved.
Referring to fig. 3, fig. 3 is a second flow chart of the detection method according to the embodiment of the application.
301, transmitting a probe signal to the bonding area.
302, receiving a reflected signal formed by the probe signal passing through the bonding area.
Regarding steps 301 to 302:
the detection signal may be sent to the bonding area by a signal transmitter, where the detection signal may include, but is not limited to, a detection signal such as a laser, infrared, or ultrasonic, and the detection signal may be a signal that may be reflected after hitting an obstacle, such as a detection signal that may form a reflected signal after passing through the bonding area, and the reflected signal may be received by a signal receiver.
303, the reflected signal is a laser reflected signal formed by the laser detection signal passing through the binding region, and image information of the binding region is generated according to the laser reflected signal, wherein the image information reflects concentration information of conductive particles in the binding region.
It can be understood that, because the structures of different parts of the binding area are different, the reflected signals reflected after the detection signals touch different positions of the binding area are different, and according to analysis processing of the reflected signals, the image information of different positions of the binding area can be obtained, and the image information of the binding area can be obtained by combining the image information of different positions. Specifically, by processing a laser reflection signal formed by the laser detection signal passing through the binding region, an image signal of the binding region can be obtained, the image information reflects the concentration information of conductive particles in the binding region, the concentration of the conductive particles in the binding region is different when the laser detection signal irradiates the binding region, and the image information generated by the reflected laser signal is also different.
304, analyzing the image information through a preset image algorithm to obtain an analysis result.
The image information may be analyzed by a pixel value parameter algorithm, such as:
marking a target area in the image information;
acquiring pixel average values of a plurality of pixel points in the target area;
if the pixel mean value is greater than or equal to a preset pixel value, analyzing to obtain that the concentration of the conductive particles in the target area is greater than or equal to a preset concentration;
and if the pixel mean value is smaller than the preset pixel value, analyzing to obtain that the concentration of the conductive particles in the target area is smaller than the preset concentration.
Specifically, referring to fig. 4, fig. 4 is a schematic structural diagram of a binding area of a display panel provided by an embodiment of the present application, a target area 105 is marked in the binding area 104, the target area 105 is a conductive particle area, pixel values of a plurality of pixel points in the target area 105 are obtained through an image algorithm, weighted average is performed on the plurality of pixel values, a pixel mean value of the target area 105 is obtained through calculation, the pixel mean value is compared with a preset pixel mean value, and if the pixel mean value is greater than or equal to the preset pixel value, the concentration of conductive particles in the target area 105 is obtained through analysis to be greater than or equal to the preset concentration; if the pixel mean value is smaller than the preset pixel value, the analysis results in that the concentration of the conductive particles in the target area 105 is smaller than the preset concentration. It can be appreciated that the preset pixel value may be set according to a pixel mean value of the target area 105 of the binding area of the display device that is successfully bound, and in some embodiments, the target area may be further determined according to whether the pixel mean value is within a preset pixel value range, and whether the concentration of the conductive particles meets a condition, for example, if the pixel mean value is within the preset pixel value range, the concentration of the conductive particles in the target area is obtained by analysis within the preset pixel value range; if the pixel mean value is not in the preset pixel value range, the concentration of the conductive particles in the target area obtained through analysis is not in the preset pixel value range.
It should be noted that the target area 105 in the example of fig. 4 is merely exemplary, and the target area 105 may be other target areas, such as the target area 106, and it is understood that the preset pixel values or the preset pixel value ranges corresponding to different target areas are different.
In some embodiments, the image information may also be analyzed by a pixel location distribution algorithm, such as:
marking a target area in the image information;
acquiring the distribution density of the pixel points of the target area;
if the distribution density of the pixel electricity is larger than or equal to the preset distribution density, analyzing to obtain that the concentration of the conductive particles in the target area is larger than or equal to the preset concentration;
and if the distribution density of the pixel electricity is smaller than the preset distribution density, analyzing to obtain that the concentration of the conductive particles in the target area is smaller than the preset concentration.
Specifically, the distribution density of a plurality of pixel points in a target area is obtained through an image algorithm, wherein the target area can be the target area, the size of the concentration of the conductive particles can be reflected through the distribution density of the pixel points, the larger the distribution density is, the larger the concentration of the conductive particles is, the smaller the distribution density is, the smaller the concentration of the conductive particles is, and based on the fact, the relation between the concentration of the conductive particles and the preset concentration can be judged through the image algorithm.
In some embodiments, the image information may also be analyzed by a neural network model, such as:
acquiring a neural network detection model, wherein the neural network detection model is obtained by acquiring historical detection data and training;
and analyzing the image information through the neural network detection model to obtain an analysis result.
Specifically, the neural network detection model may be obtained through training of large platform data, where the large platform data may include historical detection data of multiple display devices, for example, detection results of binding areas of multiple display devices and corresponding image information are used as training samples of the neural network detection model, a corresponding relationship between the image information and the detection results may be obtained, when detection is required, the obtained image data is used as input data of the neural network detection model, a corresponding output result may be obtained, and the output result may include concentration of conductive particles in the target area being greater than, equal to or less than a preset concentration.
In some embodiments, in order to improve accuracy of the output result of the neural network model, after obtaining the output result, the method further includes: and taking the image information as a training sample of the neural network detection model, and training the neural network detection model through the training sample.
305, if the concentration of the conductive particles is greater than or equal to the preset concentration, the binding region meets the preset condition.
If the concentration of the conductive particles is greater than or equal to the preset concentration, the binding area accords with the preset condition, namely the conductive particles in the binding area are in good contact, and the display device is bound to be qualified.
306, if the concentration of the conductive particles is less than the preset concentration, the binding region does not meet the preset condition.
If the concentration of the conductive particles is smaller than the preset concentration, the binding area is not in accordance with the preset condition, namely the binding area is poor in contact with the conductive particles, and the display device is not qualified in binding.
In some embodiments, after detecting that the binding area does not meet the preset condition, the method further includes:
generating prompt information;
if a pressing signal is received in a preset time, pressing the binding area according to the pressing signal;
if no pressing signal is received within a preset time, automatically pressing the binding area;
specifically, if the binding area does not meet the preset condition, it is indicated that the conductive particles in the binding area cannot be contacted, and the binding area needs to be pressed again, so that in order to improve production efficiency, a preset time can be set, if no pressing signal is received in the preset time, the binding area is automatically pressed, if the pressing signal is received in the preset time, the binding area is pressed according to the pressing signal, and therefore automation of detection of the display device can be improved, and it is understood that the preset time can be 5s, 10s or 30s and the like, and can be set according to actual detection requirements.
In order to improve the yield of the display device, after the bonding area is bonded according to the bonding signal or the bonding area is automatically bonded, the method further includes:
the steps are performed again: transmitting a detection signal to the binding region; receiving a reflected signal formed by the detection signal passing through the binding area; generating image information of the binding area according to the reflected signal; analyzing the image information through a preset image algorithm to obtain an analysis result; through detecting the binding area after the secondary lamination, the accuracy of the detection of the binding area can be improved, and the yield of the display device is further improved.
The embodiment of the application provides a detection method, which is used for detecting a display device, generating image information of a binding area by receiving a laser reflection signal formed by a laser detection signal passing through the binding area, automatically analyzing the image information by a preset image algorithm, and improving the detection efficiency of the binding area without manual intervention.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a detection device according to an embodiment of the application. The detection device 400 includes: a transmitting module 401, a receiving module 402, a generating module 403, an analyzing module 404 and an analyzing module 405.
A transmitting module 401, configured to transmit a detection signal to the bonding area;
a receiving module 402, configured to receive a reflected signal formed by the probe signal passing through the binding area;
a generating module 403, configured to generate image information of the binding area according to the reflected signal;
the analysis module 404 is configured to analyze the image information through a preset image algorithm to obtain an analysis result;
and the detection module 405 is configured to detect whether the binding area meets a preset condition according to the analysis result.
In some embodiments, when generating the image information of the binding area according to the reflected signal, the generating module 403 may be configured to:
the reflection signal is a laser reflection signal formed by a laser detection signal passing through the binding region, and image information of the binding region is generated according to the laser reflection signal and reflects concentration information of conductive particles in the binding region;
when the detecting whether the binding area meets a preset condition according to the analysis result, the detecting module 405 may be configured to:
if the concentration of the conductive particles is greater than or equal to the preset concentration, the binding area accords with preset conditions;
if the concentration of the conductive particles is smaller than the preset concentration, the binding area does not meet the preset condition.
In some embodiments, when the image information is analyzed by a preset image algorithm to obtain an analysis result, the analysis module 404 may be configured to:
marking a target area in the image information;
acquiring pixel average values of a plurality of pixel points in the target area;
if the pixel mean value is greater than or equal to a preset pixel value, analyzing to obtain that the concentration of the conductive particles in the target area is greater than or equal to a preset concentration;
and if the pixel mean value is smaller than the preset pixel value, analyzing to obtain that the concentration of the conductive particles in the target area is smaller than the preset concentration.
In some embodiments, when the image information is analyzed by a preset image algorithm to obtain an analysis result, the analysis module 404 may be further configured to:
marking a target area in the image information;
acquiring the distribution density of the pixel points of the target area;
if the distribution density of the pixel points is greater than or equal to the preset distribution density, analyzing to obtain that the concentration of the conductive particles in the target area is greater than or equal to the preset concentration;
and if the distribution density of the pixel points is smaller than the preset distribution density, analyzing to obtain that the concentration of the conductive particles in the target area is smaller than the preset concentration.
In some embodiments, the detection apparatus may further include: the device comprises a prompt information generation module, a pressing module and an automatic pressing module.
The prompt information generation module is used for generating prompt information;
the pressing module is used for pressing the binding area according to the pressing signal if the pressing signal is received in the preset time;
and the automatic pressing module is used for automatically pressing the binding area if no pressing signal is received in the preset time.
In some embodiments, after the bonding area is bonded according to the bonding signal or the bonding area is automatically bonded, the transmitting module 401, the receiving module 402, the generating module 403, the analyzing module 404, and the analyzing module 405 may further be configured to:
transmitting a detection signal to the binding region;
receiving a reflected signal formed by the detection signal passing through the binding area;
generating image information of the binding area according to the reflected signal;
analyzing the image information through a preset image algorithm to obtain an analysis result;
and detecting whether the binding area meets preset conditions or not according to the analysis result.
In some embodiments, when the image information is analyzed by a preset image algorithm to obtain an analysis result, the analysis module 404 may be further configured to:
acquiring a neural network detection model, wherein the neural network detection model is obtained by acquiring historical detection data and training;
and analyzing the image information through the neural network detection model to obtain an analysis result.
In some embodiments, the detection apparatus further comprises a sample determination module and a model training module, after obtaining the analysis result:
the sample determining module is used for taking the image information as a training sample of the neural network detection model;
and the model training module is used for training the neural network detection model through the training sample.
It should be noted that, the detection device provided in the embodiment of the present application and the detection method in the foregoing embodiment belong to the same concept, and any method provided in the method embodiment may be detected on the detection device, and detailed implementation processes of the method embodiment are shown in the detection method embodiment and are not repeated herein.
The embodiment of the application provides a computer-readable storage medium, on which a computer program is stored, which when executed on a computer causes the computer to perform the steps in the detection method provided by the embodiment of the application. The storage medium may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.
With continued reference to fig. 1, the display apparatus 10 may be applied to an electronic device, which may be a computing device such as a laptop computer, a computer monitor containing an embedded computer, a tablet computer, a cellular telephone, a media player, or other handheld or portable electronic device, a smaller device (such as a wristwatch device, a hanging device, a headset or earpiece device, a device embedded in glasses or other device worn on the head of a user, or other wearable or miniature device), a television, a computer display not containing an embedded computer, a gaming device, a navigation device, an embedded system (such as a system in which an electronic device with a display is installed in a kiosk or automobile), a device implementing the functionality of two or more of these devices, or other electronic device. In the exemplary configuration of fig. 1, the electronic device is a portable device, such as a cellular telephone, media player, tablet, or other portable computing device.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
It should be noted that, for the detection method according to the embodiment of the present application, it will be understood by those skilled in the art that all or part of the flow of implementing the detection method according to the embodiment of the present application may be implemented by controlling related hardware by a computer program, where the computer program may be stored in a computer readable storage medium, such as a memory of an electronic device, and executed by at least one processor in the electronic device, and the execution may include the flow of the embodiment of the detection method. The storage medium may be a magnetic disk, an optical disk, a read-only memory, a random access memory, etc.
For the detection device of the embodiment of the application, each functional module can be integrated in one processing chip, each module can exist alone physically, and two or more modules can be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated module, if implemented as a software functional module and sold or used as a stand-alone product, may also be stored on a computer readable storage medium such as read-only memory, magnetic or optical disk, etc.
The foregoing describes in detail a detection method, apparatus, and storage medium provided by the embodiments of the present application, and specific examples are applied to illustrate the principles and embodiments of the present application, where the foregoing examples are only used to help understand the method and core idea of the present application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present application, the present description should not be construed as limiting the present application.
Claims (9)
1. A detection method for detecting a display device, wherein the display device includes a display panel, a driving chip and a flexible circuit board, the display panel includes a binding area, and the driving chip is bound to the binding area through the flexible circuit board, the method includes:
transmitting a detection signal to the binding region;
receiving a reflected signal formed by the detection signal passing through the binding area;
the reflection signal is a laser reflection signal formed by a laser detection signal passing through the binding region, and image information of the binding region is generated according to the laser reflection signal and reflects concentration information of conductive particles in the binding region;
analyzing the image information through a preset image algorithm to obtain an analysis result;
if the concentration of the conductive particles is greater than or equal to the preset concentration, the binding area accords with preset conditions;
if the concentration of the conductive particles is smaller than the preset concentration, the binding region does not meet the preset condition.
2. The method according to claim 1, wherein the analyzing the image information by a preset image algorithm to obtain an analysis result includes:
marking a target area in the image information;
acquiring pixel average values of a plurality of pixel points in the target area;
if the pixel mean value is greater than or equal to a preset pixel value, analyzing to obtain that the concentration of the conductive particles in the target area is greater than or equal to a preset concentration;
and if the pixel mean value is smaller than the preset pixel value, analyzing to obtain that the concentration of the conductive particles in the target area is smaller than the preset concentration.
3. The method according to claim 1, wherein the analyzing the image information by a preset image algorithm to obtain an analysis result includes:
marking a target area in the image information;
acquiring the distribution density of the pixel points of the target area;
if the distribution density of the pixel points is greater than or equal to the preset distribution density, analyzing to obtain that the concentration of the conductive particles in the target area is greater than or equal to the preset concentration;
and if the distribution density of the pixel points is smaller than the preset distribution density, analyzing to obtain that the concentration of the conductive particles in the target area is smaller than the preset concentration.
4. A detection method according to any one of claims 2-3, further comprising, after the binding area does not meet a preset condition:
generating prompt information;
if a pressing signal is received in a preset time, pressing the binding area according to the pressing signal;
and if the pressing signal is not received within the preset time, automatically pressing the binding area.
5. The method according to claim 4, further comprising, after said bonding area is bonded according to the bonding signal or said bonding area is automatically bonded:
the steps are repeatedly executed:
transmitting a detection signal to the binding region;
receiving a reflected signal formed by the detection signal passing through the binding area;
generating image information of the binding area according to the reflected signal;
analyzing the image information through a preset image algorithm to obtain an analysis result;
and detecting whether the binding area meets preset conditions or not according to the analysis result.
6. The method according to claim 1, wherein the analyzing the image information by a preset image algorithm to obtain an analysis result includes:
acquiring a neural network detection model, wherein the neural network detection model is obtained by acquiring historical detection data and training;
and analyzing the image information through the neural network detection model to obtain an analysis result.
7. The method according to claim 6, further comprising, after the analysis result is obtained:
taking the image information as a training sample of the neural network detection model;
and training the neural network detection model through the training sample.
8. The utility model provides a detection device for detect display device, its characterized in that, display device includes display panel, driver chip and flexible line way board, display panel includes the binding area, driver chip passes through flexible line way board bind in the binding area, detection device includes:
the transmitting module is used for transmitting detection signals to the binding area;
the receiving module is used for receiving a reflected signal formed by the detection signal passing through the binding area, wherein the reflected signal is a laser reflected signal formed by the laser detection signal passing through the binding area;
the generation module is used for generating image information of the binding area according to the laser reflection signal, and the image information reflects concentration information of conductive particles of the binding area;
the analysis module is used for analyzing the image information through a preset image algorithm to obtain an analysis result;
the detection module is used for enabling the binding area to meet preset conditions if the concentration of the conductive particles is greater than or equal to the preset concentration; if the concentration of the conductive particles is smaller than the preset concentration, the binding region does not meet the preset condition.
9. A storage medium having stored thereon a computer program, characterized in that the computer program, when run on a computer, causes the computer to perform the detection method according to any of claims 1 to 7.
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