CN111787305B - Electronic device and intelligent manufacturing method thereof - Google Patents

Abstract

The application relates to an electronic device and an intelligent manufacturing method thereof, wherein the method comprises the following steps: acquiring a module to be tested, wherein the module to be tested comprises a camera module, a display device and a control panel; performing performance test on the module to be tested to obtain a test result; and classifying the module to be tested according to the test result, and assembling the module to be tested classified as a good product to obtain the electronic equipment. Carry out capability test to module of making a video recording, display device and control panel earlier before the product equipment, only assemble the yields that the test passes through, avoid because the unqualified electronic equipment that leads to after assembling of module breaks down, reduce and return the factory and overhaul, compare with traditional electronic product manufacturing approach, improved product production efficiency.

Description

Electronic device and intelligent manufacturing method thereof

Technical Field

The application relates to the technical field of industrial production control, in particular to electronic equipment and an intelligent manufacturing method thereof.

Background

With the development of science and the continuous progress of society, the manufacturing industry develops towards the intelligent information production direction. The automation production line gradually replaces manual work to realize automation, products are automatically produced, and the production efficiency of the products is greatly improved due to intelligent automation of production.

The traditional electronic product manufacturing method is to transport different production materials to an assembly platform, and then assemble the production materials by welding and other methods. And manually detecting the qualification rate of the assembled electronic product, and returning unqualified electronic product to the factory for detection and repacking. Because manual detection is needed after the electronic product is assembled, product faults cannot be detected in time, and the traditional electronic product manufacturing mode has the defect of low production efficiency.

Disclosure of Invention

In view of the above, it is desirable to provide an electronic device and an intelligent manufacturing method thereof, which can improve production efficiency.

An electronic device smart manufacturing method comprising: acquiring a module to be tested, wherein the module to be tested comprises a camera module, a display device and a control panel; performing performance test on the module to be tested to obtain a test result; and classifying the module to be tested according to the test result, and assembling the module to be tested classified as a good product to obtain the electronic equipment.

According to the intelligent manufacturing method of the electronic equipment, the camera module, the display device and the control panel to be assembled are subjected to performance testing and classification, and the modules classified into good products are assembled to obtain the electronic equipment. Carry out capability test to module of making a video recording, display device and control panel earlier before the product equipment, only assemble the yields that the test passes through, avoid because the unqualified electronic equipment that leads to after assembling of module breaks down, reduce and return the factory and overhaul, compare with traditional electronic product manufacturing approach, improved product production efficiency.

In one embodiment, the performing the performance test on the module to be tested to obtain a test result includes: and respectively carrying out performance test on the camera module, the display device and the control panel according to preset test parameters to obtain corresponding test data as a test result.

And the performance test is respectively carried out on the modules to be tested in different types according to the preset test parameters, so that the convenience of the performance test of the modules is improved.

In one embodiment, the test parameters include at least one of voltage test parameters, current test parameters, and power test parameters.

The tester can set specific test parameters according to actual requirements to perform performance test on the module to be tested, and the operation is simple and convenient and the reliability is high.

An electronic device comprises a camera module, a display device and a control panel, wherein the camera module, the display device and the control panel are assembled through the method to obtain the electronic device.

Above-mentioned electronic equipment carries out capability test to module of making a video recording, display device and control panel earlier before the product equipment, only assembles the yields that the test passes through, avoids because the unqualified electronic equipment who leads to after assembling of module breaks down, reduces to return the factory and overhauls and traditional product production mode, has improved product production efficiency.

In one embodiment, the control board is connected to the camera module and the display device, and the control board is configured to acquire a captured image sent by the camera module, perform POD (Particle On Die) compensation On the captured image, and output the compensated image to the display device for display.

The control panel carries out POD compensation restoration to the image that the module of making a video recording was shot, reduces the module of making a video recording because the POD defect is to the influence that the image shot and cause, has improved image display's definition.

In one embodiment, the control board performs POD compensation restoration on the shot image by using a TV (Total Variation) model.

The TV model is used for image denoising, the influence of POD defects is eliminated, the details of the image can be well maintained while the noise is removed when the image is repaired, and the accuracy of image repair is improved.

In one embodiment, the control board acquires information of an area to be repaired of the shot image, and extracts a damaged area boundary according to the information of the area to be repaired; and performing POD compensation repair on the area to be repaired of the shot image according to the damaged area boundary.

The POD compensation repairing is carried out by extracting the damaged area boundary according to the information of the area to be repaired of the shot image, so that the reliability of image repairing can be improved.

In one embodiment, the control board detects the area where the defective pixel of the camera module is located to obtain a RAW map coordinate; and remapping the RAW image coordinates to convert the RAW image coordinates into YUV image coordinates, and obtaining the information of the area to be repaired.

The acquired RAW image coordinates are remapped and converted into YUV image coordinates which serve as information of the area to be repaired, so that subsequent image repairing operation can be conveniently carried out.

In one embodiment, the Display device is an LCD (Liquid Crystal Display) Display screen. The image display is carried out through the LCD display screen, the display quality is high, and the picture effect is good.

Drawings

FIG. 1 is a flow diagram of a method for intelligent manufacturing of an electronic device in one embodiment;

FIG. 2 is a block diagram of an electronic device in an embodiment;

FIG. 3 is a diagram illustrating location information of a dead pixel area of a camera module according to an embodiment;

FIG. 4 is a diagram of a location information burning list of a defective pixel area in an embodiment;

FIG. 5 is a diagram illustrating a damaged area and its neighborhood in one embodiment;

FIG. 6 is a diagram illustrating global coordinates and local coordinates according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

In one embodiment, an intelligent manufacturing method for an electronic device is provided, where the electronic device may be a mobile phone, a computer, or the like. As shown in fig. 1, the method includes:

step S110: and acquiring the module to be tested.

The module that awaits measuring includes module, display device and the control panel of making a video recording. Specifically, the mechanical arm can be controlled by the control device to place the module to be tested transmitted by the material transmission device on a test platform of the module testing device, the material transmission device is used for transporting the module to be tested to the module testing device from the material area to carry out performance testing, and the good products passing the testing are transported to a subsequent assembly process to carry out product assembly.

Step S120: and carrying out performance test on the module to be tested to obtain a test result.

Specifically, after the mechanical arm is controlled by the control device to place the module to be tested on the test platform of the module test device, the test component of the module test device can be electrically connected with the module to be tested through the mechanical arm, for example, a test clamp of the test component is connected with a signal pin of the module to be tested, an electric signal is output to the module to be tested, and an output signal of the module to be tested is collected for performance test. It can be understood that the specific test mode to the module of making a video recording, display device and control panel can correspond different but not only, as long as can realize testing the electrical property of the module of making a video recording, display device and control panel can. In one embodiment, step S120 includes: and respectively carrying out performance test on the camera module, the display device and the control panel according to preset test parameters to obtain corresponding test data as a test result. And the performance test is respectively carried out on the modules to be tested in different types according to the preset test parameters, so that the convenience of the performance test of the modules is improved.

The type of test parameter is not exclusive and in one embodiment the test parameter includes at least one of a voltage test parameter, a current test parameter, and a power test parameter. The tester can set specific test parameters according to actual requirements to carry out performance test on the module to be tested, and the operation is simple and convenient and the reliability is high. Specifically, corresponding test parameters can be preset for the camera module, the display device and the control board respectively, the test parameters comprise voltage test parameters, current test parameters and power test parameters at the same time, the control device controls the test component to output electric signals to the corresponding module to be tested by using the fixed voltage test parameters, current test parameters and power test parameters respectively, and signals output by the module to be tested are collected. And comparing the acquired signals with a preset test standard threshold value to obtain test data after different tests are carried out on the module to be tested as a test result. For example, if the voltage output detected when the voltage test is performed on the camera module is a and the standard threshold value is a, the difference between the voltage output a and the standard threshold value a can be used as test data obtained by performing the voltage test on the camera module, and the test data obtained by performing different tests on the camera module, the display device, and the control board are summarized and used as a test result.

Step S130: and classifying the module to be tested according to the test result, and assembling the module to be tested classified as a good product to obtain the electronic equipment.

Correspondingly, the control device can classify the module to be tested according to the test result and the preset standard, and the preset standard represents the corresponding relation between the test result and the test classification. Specifically, the control device classifies and detects the module to be tested according to the preset standard after performing different tests on the module to be tested to obtain test data. Taking the camera module as an example, if the test data (i.e. the difference between the output value and the standard threshold) obtained by different types of detection of the camera module is less than the preset error, the camera module can be regarded as a qualified good product, otherwise, the camera module is regarded as a defective product. After the module that awaits measuring is the yields, controlling means controls the arm again and puts back material transmission device with the yields, utilizes material transmission device to carry the yields to product equipment, welds the equipment through product equipment to the module of making a video recording, display device and the control panel that the test is the yields. In addition, the product assembling equipment can also assemble other parts such as a shell, a key and the like, and finally the assembling process of the electronic equipment is completed.

According to the intelligent manufacturing method of the electronic equipment, the camera module, the display device and the control panel to be assembled are subjected to performance testing and classification, and the modules classified into good products are assembled to obtain the electronic equipment. Carry out performance test to module of making a video recording, display device and control panel earlier before the product equipment, only assemble the yields that the test passes through, avoid because the unqualified electronic equipment who leads to after assembling of module breaks down, reduce and return the factory and overhaul, compare with traditional electronic product manufacturing approach, improved product production efficiency.

In one embodiment, an electronic device is further provided, and specifically, the electronic device may be a mobile phone, a computer, or the like. As shown in fig. 2, the electronic apparatus includes the camera module 110, the control board 120 and the display device 130, and the camera module 110, the display device 130 and the control board 120 are assembled by the above method to obtain the electronic apparatus.

In one embodiment, the control board 120 is connected to the camera module 110 and the display device 130, and the control board 120 is configured to acquire a captured image sent by the camera module 110, perform POD compensation on the captured image, and output the compensated image to the display device 130 for displaying. The control board 120 performs POD compensation and repair on the image shot by the camera module 110, so that the influence of the camera module 110 on image shooting due to POD defects is reduced, and the definition of image display is improved. The specific type of the display device 130 is not exclusive, and in the embodiment, the display device 130 is an LCD display screen. The image display is carried out through the LCD display screen, the display quality is high, and the picture effect is good.

Further, the control board 120 performs POD compensation restoration of the shot image using the TV model. The TV model is used for image denoising, the influence of POD defects is eliminated, the details of the image can be well maintained while the noise is removed when the image is repaired, and the accuracy of image repair is improved.

In one embodiment, the control board 120 obtains information of an area to be repaired of the shot image, and extracts a boundary of the damaged area according to the information of the area to be repaired; and performing POD compensation repair on the area to be repaired of the shot image according to the damaged area boundary. The POD compensation repairing is carried out by extracting the damaged area boundary according to the information of the area to be repaired of the shot image, so that the reliability of image repairing can be improved.

Specifically, the control board 120 detects the area where the defective pixel of the camera module 110 is located, and obtains RAW map coordinates; and remapping the RAW image coordinates to convert the RAW image coordinates into YUV image coordinates, and obtaining the information of the area to be repaired. The acquired RAW image coordinates are remapped and converted into YUV image coordinates which serve as information of the area to be repaired, so that subsequent image repairing operation can be conveniently carried out.

In order to better understand the POD compensation principle of the electronic device, the following detailed description is made in conjunction with specific embodiments.

The POD refers to dirt falling on a sensor of a camera module or a product with the number of defective pixels of the sensor exceeding the specification, and the POD compensation algorithm proposed by the application is used for compensating the defective pixels. POD is roughly classified into two categories, wound and Dead, in the algorithm process. Wound means that there are some consecutive Pixel values that are low or high relative to the normal Pixel brightness, look lighter, and generally appear as dark spots, or bright spots like small bubbles. Dead refers to Pixel luminance values that are much higher or lower relative to normal Pixel values, typically appearing as bright or black spots. The POD compensation algorithm proposed by the present application mainly aims at Dead Pixel on sensor.

The POD compensation scheme mainly compensates for a dead Pixel (Defect Pixel) area on an image and comprises three steps: finding bad point burning coordinates, reading coordinate remapping and using an algorithm to compensate the bad points.

And (4) correctly finding and screening Defect pixels meeting the compensation requirement by using a POD detection algorithm according to different sensor specifications. There are multiple dead pixel areas (blocks) on the sensor of each defective camera module, and as shown in fig. 3, the position of each dead pixel area is represented by four attributes: vertex coordinates BLOCK _ X and BLOCK _ Y at the top left corners, width and Height of BLOCK, and burning position information of all dead pixel areas of the camera module into an EEPROM (Read-Only Memory) according to a specified Burn MAP, where a burned information list is shown in fig. 4.

And after the camera module is connected with a high-pass platform and is lightened, reading the position information of the dead pixel region from the EEPROM, and remapping the obtained coordinates (converting RAW image coordinates into YUV image coordinates). POD detection and finding of defective pixels are processed by using a RAW image of a high-pass platform and are burnt into RAW image coordinates, defect Pixel Compensation of the high-pass platform is performed by using a YUV image, and remapping processing is required to be performed by using YUV image coordinates and different coordinate systems. The Defect Pixel Area is compensated based on YUV map after coordinate remapping according to Defect Pixel Compensation algorithm. The compensation algorithm principle is as follows:

as shown in fig. 5, which is a schematic diagram of a damaged area and its neighborhood, D is a region with patch, E is an outer region with patch, an image in the repaired E £ D region is u, and a cost function is defined as:

and satisfies noise constraints:

where A (E) is the area of the region, the initial image within the shadow is contaminated by the dead white noise, δ is the standard deviation of the white noise, and r is a non-negative real function.

Equation (1) is to make the region and boundary to be repaired as smooth as possible, and equation (2) makes the repair process robust to noise. In order to have a good repairing effect on the edge, a proper unique function r needs to be selected, and the function r is used for repairing the edge

Is an impact function δ, so the cost function E is required to take precedence, i.e.:

the function r(s) is expanded to the form:

r(s)＝s ^a + Low order expansion item (4)

Equation (3) requires that r(s) be finite in s → ∞ time, so that a ≦ 1. A =1 is selected, and in this case, equation (1) is the TV model in image restoration. And converting the extreme value problem with the constraint condition into the extreme value problem without the constraint condition by using a Lagrange multiplier method. The new cost function is:

according to the Euler-Lagrange equation, J is made _λ (u) the minimum u should satisfy the following condition:

wherein:

the corresponding fast descent equation is:

in actual calculation, to prevent the denominator from being too small,

usually need to be converted into

This is actually equivalent to minimizing (8):

by using

Represent

Then equation (6) becomes:

wherein, the first and the second end of the pipe are connected with each other,

the value is the same as the formula (5).

If there is no gaussian noise added interference, equation (8) becomes:

namely, the basic formula of image inpainting of the TV model.

The compensation algorithm is implemented as follows:

image inpainting is a constrained minimization problem, and an unconstrained extreme value problem is easier to solve according to a variational principle. Therefore, the Lagrange multiplier method is adopted to be converted into an extreme value problem without constraint conditions. The new cost equation is known as:

the Euler-Lagrange equation for the TV repair model is:

introducing a time variable t by a gradient descent method to obtain the following equation:

to better analyze the performance of the algorithm, a local coordinate system ζ - η of the image is established, where the η -axis is parallel to the image gradient direction at this pixel and the ξ -axis is the corresponding perpendicular direction, as shown in fig. 6, then:

deducing the local orthogonal coordinate xi-eta according to the definition of the first and second directional derivatives,

corresponding formula

Solving by adopting a time stepping method to obtain an iteration form as follows:

wherein:

is a modulus of a gradient at a certain point in an image, and in order to avoid the modulus of the gradient being 0 during diffusion, equation (17) is rewritten as follows:

and (4) obtaining a result image after restoration by adopting approximate calculation of a central differential pair (16).

Coefficient of diffusion

Affects the diffusion behavior of the equation fromIn the local coordinate system, the integral variation minimization is only diffused along the tangent direction of the edge. This allows for flat areas of the image to be repaired, since

The diffusion coefficient is larger when the coefficient is smaller, so that the diffusion capability in a smooth area is stronger, and the noise can be effectively removed; and in areas with more edge detail, due to

The diffusion coefficient is smaller, so that the diffusion is slower in the area with more image textures, and the edge details of the image can be better reserved. Therefore, the TV model can remove noise and better maintain the details of the image when the image is repaired.

The fast repairing algorithm based on the TV model comprises the following steps:

(1) Reading the image to be repaired and the information of the area D to be repaired;

(2) Finding out a point (namely a boundary point of a damaged area) which is repaired preferentially;

(3) Determining the value of epsilon and initializing a weight m;

(4) By equation

Repairing the image boundary points;

(5) And if the restoration is not completed, updating the boundary and the weight m, and returning to the step (2) to continue restoring until the image is completely restored.

Above-mentioned electronic equipment carries out capability test to module of making a video recording, display device and control panel earlier before the product equipment, only assembles the yields that the test passes through, avoids because the unqualified electronic equipment who leads to after assembling of module breaks down, reduces and returns the factory to overhaul, compares with traditional electronic product manufacturing approach, has improved product production efficiency.

All possible combinations of the technical features of the above embodiments may not be described for the sake of brevity, but should be considered as within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is specific and detailed, but not to be understood as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (9)

1. An electronic device is characterized by comprising a camera module, a display device and a control board, wherein the control board is connected with the camera module and the display device, and is used for acquiring a shot image sent by the camera module, performing POD compensation on the shot image, and outputting the compensated image to the display device for display; the POD compensation comprises the steps of searching a dead pixel burning coordinate, reading coordinate remapping and using an algorithm to compensate the dead pixel; the camera module, the display device and the control panel are assembled by executing the following steps to obtain the electronic equipment:

acquiring a module to be tested, wherein the module to be tested comprises the camera module, the display device and the control panel;

respectively carrying out performance tests on the camera module, the display device and the control panel according to preset test parameters to obtain corresponding test data as test results;

and classifying the module to be tested according to the test result, and assembling the module to be tested classified as a good product to obtain the electronic equipment.

2. The apparatus of claim 1, wherein said control board performs POD compensation restoration of said captured image using a TV model.

3. The device according to claim 2, wherein the control board acquires information of an area to be repaired of the shot image, and extracts a damaged area boundary according to the information of the area to be repaired; and performing POD compensation repair on the area to be repaired of the shot image according to the damaged area boundary.

4. The apparatus of claim 2, wherein said POD compensation repair is to compensate for a defective pixel.

5. The apparatus according to claim 3, wherein the control board detects a region where a defective pixel of the camera module is located to obtain RAW map coordinates; and remapping the RAW image coordinates to convert the RAW image coordinates into YUV image coordinates, and obtaining the information of the area to be repaired.

6. The apparatus of any of claims 1-5, wherein the display device is an LCD display screen.

7. An intelligent manufacturing method for electronic equipment, for manufacturing the electronic equipment of any one of claims 1-6, the method comprising:

acquiring a module to be tested, wherein the module to be tested comprises a camera module, a display device and a control panel;

respectively carrying out performance tests on the camera module, the display device and the control board according to preset test parameters to obtain corresponding test data as test results;

and classifying the module to be tested according to the test result, and assembling the module to be tested classified as a good product to obtain the electronic equipment.

8. The method of claim 7, wherein the performance test comprises an electrical performance test.

9. The method of claim 8, wherein the test parameters include at least one of voltage test parameters, current test parameters, and power test parameters.

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