TWI603060B - Automatic object alignment method and automatic alignment inspection device thereof - Google Patents

Description

Object automatic correction method and automatic correction detecting device thereof

The invention relates to the technical field of automatic correction of an object, in particular to an automatic correction method for an object using automatic optical detection and an automatic correction detecting device thereof.

In the optical detection of the conventional display panel, it is often necessary to perform a corrective action to make the display panel face the optical detection unit, thereby eliminating the moiré that may occur when the display panel is not facing the camera unit ( Moiré pattern), because the image captured by the camera unit may cause erroneous determination of the display panel when the moiré is generated.

Most of the above-mentioned corrective actions are performed using an artificial method. For example, the display panel is first fixed on the workbench, and the image captured by the display unit is viewed through the display unit, and the position of the camera unit is manually adjusted according to the human judgment mode. This type of artificial correction often takes a lot of time. In addition, since the correction is performed artificially, the corrected results of the different correctors are also different, resulting in reproducibility of the correction standard. In addition, it takes a lot of time and manpower to develop a corrector who can properly correct it.

As described above, the inventors of the present invention have designed an automatic correction method for an object and an automatic correction detecting device thereof through years of painstaking research to improve the lack of the prior art, thereby enhancing the implementation and utilization of the industry.

In view of the above-mentioned problems of the prior art, it is an object of the present invention to provide an automatic object correction method and an automatic correction detecting device thereof to improve the problems caused by the above-described conventional techniques.

According to an object of the present invention, an object automatic correction method is provided for the image unit to be aligned with an object to be tested, and the method includes the following steps: capturing an object to be tested fixed to the worktable by using an image capturing unit to obtain a plurality of images; The camera unit focuses on the object to be tested, and causes the camera unit to be displaced in the X-axis and the Y-axis according to the overall focus value and the local focus value in the image, so that the photosensitive element of the camera unit and the object to be tested are parallel aligned. Relationship; according to a plurality of features arranged along the Y-axis of the object to form an imaginary line, and rotating the angle of the Z-axis of the imaging unit according to the inclination of the imaginary line deviating from the Y-axis, so that the inclination approaches 0; according to the object along the edge Y-axis-arranged plurality of features to obtain a first dimension difference trend of the plurality of features, and rotating the X-axis angle of the camera unit according to the first dimension difference trend, so that the first dimension difference trend approaches 0; a second dimension difference trend of the plurality of features obtained according to the plurality of features arranged along the X-axis of the object, and rotating the Y-axis of the camera unit according to the second dimension difference trend Degree, such that the second size difference trend approaches 0; and adjusts the focal length of the camera unit such that the number of features of the object to be tested arranged along the X-axis and the Y-axis coincides with a mapping of the photosensitive elements of the camera unit ( Mapping) value.

Preferably, the camera unit is displaced in the X-axis and the Y-axis according to the overall focus value and the local focus value in the image, and further includes the following steps: the difference between the overall focus value and the local focus value in the image Near to 0, the object to be tested in the image is within the focus range of the camera unit.

Preferably, after the step of focusing the imaging unit on the object to be tested, the method further comprises the steps of: adjusting the focal length of the imaging unit and displaces the imaging unit on the Z axis to locally sample the object to be tested, and The number of the plurality of features arranged in the Y-axis is in accordance with the mapping value of the photosensitive element of the imaging unit, thereby aligning the photosensitive element of the imaging unit with the object to be tested in the XY quadrant.

According to another aspect of the present invention, an object automatic correction method is provided for applying an image capturing unit to an object to be tested, and the method includes the following steps: capturing an object to be tested fixed to a workbench by using an image capturing unit to obtain a plurality of images; According to a plurality of features arranged along the Y-axis of the object to be tested to form an imaginary line, and rotating the angle of the Z-axis of the imaging unit according to the inclination of the imaginary line deviating from the Y-axis, so that the inclination approaches 0; according to the test a plurality of features arranged along the Y-axis to obtain a first dimension difference trend of the plurality of features, and rotating the X-axis angle of the camera unit according to the first dimension difference trend, so that the first dimension difference trend approaches 0 And a second dimension difference trend of the plurality of features obtained according to the plurality of features arranged along the X axis of the object to be tested, and rotating the angle of the Y axis of the camera unit according to the second size difference trend, so that the second size difference The trend approaches zero.

Preferably, the method further comprises the steps of: controlling the camera unit to rotate counterclockwise along the Z axis when the inclination is greater than 0; or controlling the camera unit to rotate clockwise along the Z axis when the inclination is less than 0.

Preferably, the method further comprises the steps of: determining that the first size difference trend is such that when the plurality of features gradually become larger from the bottom to the top of the screen, controlling the camera unit to rotate clockwise along the X axis; or determining the first size difference trend The plurality of features are gradually turned from the bottom to the top of the screen, and the camera unit is controlled to rotate counterclockwise along the X axis.

Preferably, the method further comprises the steps of: determining that the second size difference trend is when the plurality of features gradually become larger from left to right in the screen, and controlling the camera unit to rotate clockwise along the Y axis; or determining the second size difference The trend is that the plurality of features gradually decrease from left to right in the picture, and the camera unit is controlled to rotate counterclockwise along the Y axis.

According to an object of the present invention, an automatic correction detecting device is further provided for detecting a display panel. The automatic calibration detecting device comprises a work table, a camera unit, a displacement module and a processing module. Among them, the workbench is configured to fix the display panel. The camera unit is disposed relative to the display panel to capture the display panel to obtain a plurality of images. The displacement module is connected to the camera unit to drive the camera unit to move or rotate along the X, Y, and Z axes, respectively. The processing module is connected to the camera unit and the displacement module; the processing module identifies a plurality of features of the display panel arranged along the Y-axis from the plurality of images to form an imaginary line, and rotates the camera unit according to the inclination of the imaginary line deviating from the Y-axis. The Z-axis angle is such that the inclination approaches 0; the processing module recognizes a plurality of features of the display panel along the Y-axis to obtain a first dimension difference trend of the plurality of features, and according to the first The dimension difference trend rotates the angle of the X-axis of the camera unit such that the first dimension difference trend approaches 0; the processing module recognizes the plurality of features of the display panel arranged along the X-axis to obtain the second dimension of the plurality of features The difference trend is, and the angle of the Y-axis of the camera unit is rotated according to the second size difference trend, so that the second size difference trend approaches zero.

Preferably, when the processing module determines that the inclination is greater than 0, the control displacement module rotates the imaging unit in the counterclockwise direction along the Z axis, and when the inclination is less than 0, the control displacement module controls the displacement unit to make the imaging unit clockwise along the Z axis. The direction is rotated.

Preferably, the processing module determines that the first size difference trend is that when the plurality of features gradually become larger from the bottom to the top of the screen, the control displacement module rotates the camera unit clockwise along the X axis, and determines that the first size difference trend is The plurality of features are gradually changed from the bottom to the top of the screen to control the displacement module to rotate the camera unit in the counterclockwise direction along the X axis.

Preferably, the processing module determines that the second size difference trend is that the plurality of features are gradually increased from left to right in the screen, and the displacement module is controlled to rotate the camera unit clockwise along the Y axis, and the second size difference trend is determined. The plurality of features are gradually changed from left to right in the screen to control the displacement module to rotate the camera unit in the counterclockwise direction along the Y axis.

Preferably, the processing module controls the camera unit to capture a plurality of regions of the display panel to obtain a plurality of region images, and the processing module splices the plurality of region images into the stitched image.

Preferably, the processing module performs uniform brightness on the spliced image to make the spliced image brightness uniform.

Preferably, the processing module performs a gradation fusion on the spliced image to eliminate a splicing line generated in the spliced image when the plurality of regional images are spliced.

Preferably, the automatic calibration detecting device further includes a dust removing module disposed on the workbench to remove foreign matter on the display panel.

Preferably, the dust removing module includes a blowing unit that blows the display panel to remove foreign matter on the display panel.

Preferably, the dust removing module comprises a brushing unit configured to reciprocally move on the display panel to wipe or stick foreign matter on the display panel.

The technical features of the present invention will be described in detail with reference to the accompanying drawings.

To understand the technical features, contents and advantages of the present invention and the effects thereof, the present invention will be described in detail with reference to the accompanying drawings, and the drawings used therein, The subject matter is only for the purpose of illustration and description. It is not intended to be a true proportion and precise configuration after the implementation of the present invention. Therefore, the scope and configuration relationship of the attached drawings should not be interpreted or limited. First described.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the embodiments of the automatic correction method of the object and the automatic correction detecting apparatus according to the present invention will be described with reference to the related drawings. For the sake of easy understanding, the same components in the following embodiments are denoted by the same reference numerals.

Please refer to FIG. 1 , which is a step diagram of a first embodiment of an automatic object correction method according to the present invention. The object automatic correction method of the present invention is used for aligning the image capturing unit with the object to be tested, in particular, the photosensitive surface of the photosensitive element of the image capturing unit is parallel and facing the predetermined surface of the object to be tested for related optical detection. use. The object automatic correction method comprises the following steps: (S11) using the camera unit to capture the object to be tested fixed on the workbench to obtain a plurality of images; (S12) causing the camera unit to focus on the object to be tested, and according to the overall focus value in the image. And the local focus value causes the imaging unit to be displaced in the X-axis and the Y-axis, so that the photosensitive element of the imaging unit and the object to be tested are in a parallel alignment relationship; (S13) adjusting the focal length of the imaging unit and causing the imaging unit to The Z axial displacement is to locally sample the object to be tested, and the number of the plurality of features arranged along the X axis and the Y axis is matched with the photosensitive element of the imaging unit to a range of mapping values, thereby sensitizing the imaging unit. Aligning the component with the object to be tested on the XY quadrant; (S14) forming a imaginary line according to the plurality of features arranged along the Y axis of the object to be tested, and rotating the Z of the camera unit according to the inclination of the imaginary line deviating from the Y axis The axial angle is such that the inclination approaches 0; (S15) a first dimension difference trend of the plurality of features obtained according to the plurality of features arranged along the Y axis of the object, and according to the first ruler The inch difference trend rotates the X-axis angle of the camera unit such that the first size difference trend approaches 0; (S16) a second size of the plurality of features obtained according to the plurality of features arranged along the X-axis of the object Differentiating the trend, and rotating the Y-axis angle of the camera unit according to the second size difference trend, so that the second size difference trend approaches 0; and (S17) adjusting the focal length of the camera unit so that the object to be tested is along the X-axis and The number of the plurality of features arranged in the Y axis is in accordance with the mapping value of the photosensitive element of the image pickup unit.

The object automatic correction method of the present invention can quickly align the image pickup unit to the object by the above steps, and the detection standard has high reproducibility and can avoid various problems caused by the standard deviation during the artificial correction.

Please refer to Figure 2. It should be particularly noted that the coarse adjustment of the imaging unit in the X-axis and the Y-axis according to the overall focus value and the local focus value in the above-mentioned step (S12) refers to the overall image based on the image. The focus value and the local focus value cause the camera unit to rotate clockwise or counterclockwise in the X-axis and the Y-axis, so that the overall focus value of the image is as close as possible to the local focus value. That is to say, after the coarse adjustment of the X-axis and the Y-axis, the objects to be tested in the image captured by the camera unit are located in the focus range (or the focus range) of the camera unit, thereby achieving parallelism. Alignment relationship.

In addition, the focal length of the imaging unit is adjusted and the imaging unit is displaced in the Z-axis as described in the above step (S13). If the imaging unit has a fixed-focus lens, the Z-axis displacement may include the imaging unit and the object to be tested. The shortened or lengthened displacement of the distance and the displacement of the imaging unit itself along the Z-axis, and if the imaging unit has a zoom lens, the Z-axis displacement includes the displacement of the imaging unit itself along the Z-axis. . It is worth mentioning that the above step (13) can be omitted in practical use, so it should not be limited to the above.

In the above, the mapping value refers to a plurality of features of the object to be tested displayed in the image, and the number thereof is proportional to the photosensitive element of the imaging unit (for example, an image capturing range or a pixel), for example, in a predetermined ratio. Configuration. If the difference in the Z-axis relationship between the camera unit and the object to be tested is too large, the image may not be able to completely display a certain feature. In this case, the mapping value of the block cannot be completely calculated, so The displacement of the axial rotation causes there is no feature in the image that cannot be completely displayed, so as to completely calculate the mapped value of the block, and thereby the coarse adjustment of the Z-axis relationship between the imaging unit and the object to be tested can be performed.

The parts which have not been described above will be described in conjunction with the next embodiment.

Please refer to FIG. 3, which is a step diagram of a second embodiment of the automatic object correction method of the present invention. Only steps (S14), (S15) and (S16) in the previous embodiment are disclosed in this embodiment. That is, the object automatic correction method of the present invention can be carried out even without the conditions of the steps (S12) and (S13) of the previous embodiment.

The object automatic correction method of the embodiment includes the following steps: (S31) capturing an object to be tested fixed to the worktable by the image capturing unit to obtain a plurality of images; (S32) a plurality of features arranged along the Y axis according to the object to be tested. To form an imaginary line, and rotate the angle of the Z-axis of the imaging unit according to the inclination of the imaginary line from the Y-axis so that the inclination approaches 0; (S33) a plurality of features arranged along the Y-axis according to the object to be tested. Obtaining a first dimension difference trend of the plurality of features, and rotating the angle of the X axis of the camera unit according to the first size difference trend, so that the first size difference trend approaches 0; and (S34) according to the object to be tested The X-axis axially arranged plurality of features obtains a second size difference trend of the plurality of features, and rotates the angle of the Y-axis of the imaging unit according to the second size difference trend, so that the second size difference trend approaches zero.

The object automatic correction method of the present invention can quickly align the imaging unit to the object to be tested by the above steps, and the detection standard has high reproducibility, and various problems caused by the standard deviation during the artificial correction can be avoided.

Please refer to FIG. 4, which is a schematic diagram of Z-axis correction of the object automatic correction method of the present invention. As shown in the figure, in the above steps (S14) and (S32), since the image capturing unit captures a plurality of images obtained by the object to be tested fixed to the table, an appropriate component such as a processing module can be utilized. Identifying a plurality of features arranged along the Y-axis from one of the plurality of images or a plurality of images, and then forming an imaginary line using the identified plurality of features and further determining the inclination of the imaginary line relative to the Y-axis degree. Wherein, when it is judged that the inclination is greater than 0, the control camera unit is rotated counterclockwise along the Z axis to make the inclination approach 0, and when it is judged that the inclination is less than 0, the imaging unit is controlled to rotate clockwise along the Z axis. So that the slope approaches zero.

The above intermediate inclination is greater than 0, for example, the imaginary line is inclined from the upper right to the lower left, and the intermediate inclination is less than 0, for example, the imaginary line is inclined from the upper left to the lower right. By controlling the imaging unit to rotate in the predetermined direction along the Z-axis, the predetermined surface of the object to be tested can be directed to the photosensitive element of the imaging unit. That is, it is assumed that the predetermined surface of the object to be tested is quadrilateral, whereby the four sides of the quadrangle can be made parallel to the four sides of the photosensitive member. Although the above is referred to as parallel, in practice, an allowable range may also be set, for example, an allowable range in which the predetermined surface of the object to be tested and the photosensitive element of the image pickup unit are offset in the Z-axis by ±10 degrees.

Please refer to FIG. 5, which is a schematic diagram of X-axis correction of the automatic object correction method of the present invention. As shown in the figure, in the above steps (S15) and (S33), an appropriate component such as a processing module can be used to identify one image or a plurality of images in a plurality of images arranged along the Y-axis. A plurality of features are used, and the obtained plurality of features are used to determine the first size difference trend of each feature for further judgment. Wherein, when it is determined that the first size difference trend is that the plurality of features gradually become larger from the bottom to the top of the screen (as shown in (a) of FIG. 5), the camera unit is controlled to rotate clockwise along the X axis to make the first The size difference trend approaches 0, and when it is judged that the first size difference trend is such that the plurality of features gradually become smaller from the bottom to the top of the screen (as shown in (b) of FIG. 5), the control camera unit is reversed along the X axis. The clockwise rotation causes the first dimensional difference trend to approach zero.

Please refer to FIG. 6 , which is a schematic diagram of Y-axis correction of the object automatic correction method of the present invention. As shown in the figure, in the above steps (S16) and (S34), an appropriate component such as a processing module can be used to identify one image or a plurality of images in a plurality of images arranged along the X-axis. A plurality of features are used, and the obtained plurality of features are used to determine a second size difference trend of each feature for further judgment. Wherein, when it is judged that the second size difference trend is that the plurality of features gradually become larger from left to right in the screen (as shown in (a) of FIG. 6), the camera unit is controlled to rotate clockwise along the Y axis, so that The second size difference trend approaches 0; or, the second size difference trend is judged to be a plurality of features gradually decreasing from left to right in the picture (as shown in (b) of FIG. 6), controlling the camera unit along Y The axial direction is rotated counterclockwise so that the second dimensional difference trend approaches zero.

With respect to the above steps (S15) and (S33) and steps (S16) and (S34), the allowable range can be set similarly, for example, the predetermined surface of the object to be tested and the photosensitive element of the image pickup unit are in the X-axis and the Y-axis. The upward offset is an allowable range of ±6 degrees.

The object automatic correction method of the present invention controls the imaging unit to rotate the X, Y, and Z axes in a predetermined direction by the image capturing and recognizing, which can make the imaging unit quickly and surely align with the object to be tested.

It is worth mentioning that the above-mentioned deviation judgment of the X, Y, and Z axes can be carried out by using standard deviation combined with linear regression.

The automatic correction method of the object of the present invention is further applied to an automatic correction detecting device for further explanation.

Please refer to FIGS. 7 and 8 , which are block diagrams and structural diagrams of the automatic calibration detecting device of the present invention. As shown, the automatic correction detecting device 100 is applied to detect an object to be tested, that is, the display panel 9, such that the display surface of the display panel 9 faces the optical detecting unit, such as the image capturing unit 20, or an optical detecting unit such as an image capturing unit. The photosensitive surface of the photosensitive element of 20 is facing the display surface of the display panel 9. That is to say, the object in the automatic object correction method of the present invention may refer to the object to be tested (such as the display panel 9) or the optical detecting unit (such as the camera unit 20) under different operational conditions, so The application in this embodiment is limited.

The automatic calibration detecting device 100 includes a table 10, an imaging unit 20, a displacement module 30, and a processing module 40. The workbench 10 is configured to fix the display panel 9, wherein the workbench 10 can utilize a plurality of press blocks and stably press the fixed display panel 9 on the workbench 10 with the adjacent two sides of the display panel 9 as reference sides. . The camera unit 20 can be a line-scan camera or an array camera, which is disposed above the table 10 so as to be opposite to the display panel 9 so that a plurality of images can be taken out against the display surface of the display panel 9. . The displacement module 30 can include a plurality of driving units such as motors and a plurality of driving rods such as screws, and the imaging unit 20 is fixed thereon, thereby driving the imaging unit 20 to move or rotate along the X, Y, and Z axes, respectively. . Further, an embodiment in which the imaging unit 20 is disposed in the displacement module 30 and the imaging unit 20 is moved or rotated in the X, Y, and Z directions by the displacement module 30 is well known to those skilled in the art. This will not be repeated here.

The processing module 40 can be a component such as a central processing unit, a microprocessor, or the like, or can be a processor in a complete computer, or can be implemented by integrating software and firmware into components such as a central processing unit and a microprocessor. The processing module 40 is electrically connected to the camera unit 20 to obtain a plurality of images captured by the processing module 40, and is electrically connected to the displacement module 30 to control its operation. The processing module 40 can correct the X, Y, and Z axes in a sequence without limiting, and preferably the Z axis correction is preferred, and the X and Y axes are not sequentially limited.

In actual use, the display panel 9 is first illuminated to operate, and preferably the display panel 9 can display only a monochrome image. Then, the image capturing unit 20 continuously captures the image from the display panel 9 , so that the processing module 40 can obtain a plurality of images through the image capturing unit 20 , wherein the image can be, for example, an actual captured image or for instant viewing. Temporary image. Then, coarse adjustment and fine adjustment of the object alignment are performed according to the obtained plurality of images, and the steps (S12) and (S13) are coarsely adjusted, and the above steps (S14) to (S16) are finely adjusted.

In terms of the coarse adjustment, the processing module 40 can control the imaging unit 20 to focus on the display panel 9, and obtain the overall focus value and the local focus value of the display surface of the display panel 9 from the image, so as to make the imaging unit 20 is displaced along the X-axis and the Y-axis, so that the entire display surface of the display panel 9 falls within the focus range, and the coarse adjustment of the X-axis and the Y-axis is completed. Then, the processing module 40 can control the displacement module 30 and the imaging unit 20 to adjust the focal length distance between the imaging unit 20 and the display panel 9, and can simultaneously or segmentally perform the displacement of the imaging unit 20 in the Z-axis. The number of the plurality of features arranged along the X-axis and the Y-axis on the display surface of the display panel 9 in the image is arranged in a proportional range with the image capturing range or the pixel of the image capturing unit 20, and at the same time, The features can be fully displayed in the image, and the processing module 40 can control the displacement of the rotation along the Z-axis. Therefore, the Z-axis relationship between the image pickup unit 20 and the display panel 9 can also be roughly adjusted.

For fine adjustment, the processing module 40 can recognize a plurality of features, such as pixels, of the display panel 9 arranged along the Y-axis from a plurality of images to form an imaginary line, and rotate according to the imaginary line deviating from the Y-axis. The angle of the Z-axis of the camera unit is such that the inclination approaches zero. After the Z-axis correction, the processing module 40 can further identify a first size difference trend of the plurality of features obtained by the plurality of features of the display panel 9 along the Y-axis, and according to the first The dimensional difference trend control displacement module 30 rotates the angle of the X-axis of the imaging unit such that the first dimensional difference trend approaches zero to perform the X-axis correction. Finally, the processing module 40 further identifies a second size difference trend of the plurality of features obtained by the plurality of features arranged by the display panel 9 along the X-axis, and controls the displacement module according to the second size difference trend. 30 rotates the angle of the Y-axis of the imaging unit such that the second dimensional difference trend approaches 0 to perform the Y-axis correction.

The correction of the X, Y, and Z axes in the above has been described in the automatic correction method of the object of the present invention, and will not be further described herein.

It should be noted that the automatic calibration detecting device 100 can include a display unit 50 for displaying the image captured by the imaging unit 20, and can display the image in the form of an LCD image or a CCD image. In addition, before the X, Y, and Z axis corrections are performed, the processing module 40 can control the image capturing unit 20 to focus on its own, or use the displacement module 30 to perform focusing, so that the focus area has a higher focusing value. Thereby, local sampling of a predetermined mapping value is performed to perform X, Y, Z axial correction.

Further, the program for removing foreign matter on the display surface of the display panel 9 may be performed before the X, Y, and Z axis corrections are performed. Further, the automatic calibration detecting device 100 may include a dust removing module 60, which may be a blowing unit such as a nozzle, or a brush or a viscous roller brush unit. When the dust removing module 60 is a blowing unit, it can be disposed on the table 10 and located around the display panel 9 to blow the display panel 9 to remove foreign matter on the display panel 9. When the dust removing module 60 is a roller brushing unit, it can be matched with a rack or a screw and a motor to reciprocally move on the display panel 9 to wipe or stick the foreign matter on the display panel 9. By the foreign matter removal of the display panel 9, it can facilitate the subsequent X, Y, Z axis correction work and the subsequent detection operation of the display panel 9.

After the X, Y, and Z axis corrections are completed, the automatic correction detecting apparatus 100 can further perform a program such as image stitching to facilitate the subsequent detection operation of the display panel 9.

Further, the processing module 40 can control the displacement module 30 to move the imaging unit 20 to control the imaging unit 20 to capture a plurality of regions of the display panel 9, respectively, to obtain a plurality of regional images. For example, the display panel 9 can be divided into a left half and a right half to respectively capture the area image of the left half and the area image of the right half; or, the display panel 9 is distinguished when the display panel 9 is larger in size. It is a 2x2 area to capture the area image of each area separately. Then, the processing module 40 splices the obtained plurality of area images into a spliced image for use as a detection operation of the subsequent display panel 9.

In the above, the processing module 40 can further utilize the image gamma correction algorithm to perform brightness uniformity to make the spliced image brightness uniform. In addition, the image splicing algorithm is used to perform a gradation fusion to eliminate a plurality of regional images. A stitching line generated in the stitched image when stitching.

The above is intended to be illustrative only and not limiting. Any equivalent modifications or alterations to the spirit and scope of the invention are intended to be included in the scope of the appended claims.

100: automatic correction detecting device 10: workbench 20: camera unit 30: displacement module 40: processing module 50: display unit 60: dust removal module 9: display panel S11 to S17: steps S31 to S34: steps

Fig. 1 is a flow chart showing the first embodiment of the automatic object correction method of the present invention. Fig. 2 is a schematic view showing the correction of the X-axis and Y-axis coarse adjustment of the object automatic correction method of the present invention. Fig. 3 is a flow chart showing the second embodiment of the automatic object correction method of the present invention. Fig. 4 is a schematic view showing the Z-axis correction of the object automatic correction method of the present invention. Fig. 5 is a schematic view showing the X-axis correction of the automatic correction method of the object of the present invention. Figure 6 is a schematic diagram of the Y-axis correction of the automatic correction method of the object of the present invention. Figure 7 is a block diagram showing the automatic correction detecting device of the present invention. Figure 8 is a schematic view showing the structure of the automatic correction detecting device of the present invention.

S11~S17: Steps

Claims (20)

An object automatic correction method is applied to align an imaging unit to an object to be tested, and the method includes the following steps:: capturing, by the camera unit, the object to be tested fixed to a work station to obtain a plurality of images; The camera unit focuses on the object to be tested, and according to the overall focus value and the local focus value of the image, the camera unit is displaced on the X-axis and the Y-axis, so that the photosensitive element of the imaging unit and the object to be tested are Parallel alignment relationship; forming the imaginary line according to the plurality of features arranged along the Y-axis of the object to be tested, and rotating the angle of the Z-axis of the imaging unit according to the inclination of the imaginary line from the Y-axis, so that The inclination approaches 0; a first size difference trend of the plurality of features obtained according to the plurality of features arranged along the Y axis of the object, and the X of the camera unit is rotated according to the first size difference trend An angle of the axis such that the first dimension difference trend approaches 0; a second dimension difference trend of the plurality of features obtained according to the plurality of features arranged along the X axis of the object, and The second size difference trend rotates the angle of the Y axis of the camera unit such that the second size difference trend approaches 0; and adjusts the focal length of the camera unit to arrange the object to be tested along the X axis and the Y axis The number of the plurality of features conforms to a mapping value of the photosensitive element of the camera unit. The method for automatically correcting an object according to claim 1, wherein the camera unit is displaced on the X-axis and the Y-axis according to the overall focus value and the local focus value in the image, and the following steps are further included: The difference between the overall focus value and the local focus value approaches 0, and the object to be tested in the image is within the focus range of the camera unit. The method for automatically correcting an object according to claim 1, further comprising the steps of: determining that the tilting degree is greater than 0, controlling the camera unit to rotate counterclockwise along the Z axis; or determining that the tilt is less than 0 At the same time, the camera unit is controlled to rotate clockwise in the Z-axis direction. The method for automatically correcting an object according to claim 1, further comprising the steps of: determining that the first size difference trend is that the plurality of features gradually become larger from the bottom to the top of the screen, and controlling the camera unit along the X axis Rotating in a clockwise direction; or, determining that the first size difference trend is that the plurality of features gradually decrease from the bottom to the top of the screen, and controlling the camera unit to rotate counterclockwise along the X axis. The method for automatically correcting an object according to claim 1, further comprising the following steps: determining that the second size difference trend is that the plurality of features gradually become larger from left to right in the screen, and the camera unit is controlled along Y The axis rotates in a clockwise direction; or, it is determined that the second size difference trend is that the plurality of features gradually decrease from left to right in the screen, and the camera unit is controlled to rotate counterclockwise along the Y axis. The method for automatically correcting an object according to claim 1, wherein the step of causing the camera unit to focus on the object to be tested further comprises the steps of: adjusting a focal length of the camera unit and causing the camera unit to be in a Z-axis; Displacement, to locally sample the object to be tested, and to make the number of the plurality of features arranged along the X-axis and the Y-axis conform to a mapping value range of the photosensitive element of the imaging unit, thereby causing the imaging unit to The object is aligned on the XY quadrant. An object automatic correction method is applied to align an imaging unit to an object to be tested, and the method includes the following steps:: capturing, by the camera unit, the object to be tested fixed to a work station to obtain a plurality of images; The plurality of features of the object to be tested are arranged along the Y axis to form an imaginary line, and the angle of the Z axis of the camera unit is rotated according to the inclination of the imaginary line from the Y axis, so that the inclination approaches 0; And a first dimension difference trend of the plurality of features obtained by the plurality of features arranged along the Y axis of the object to be tested, and rotating an angle of the X axis of the camera unit according to the first size difference trend, so that The first size difference trend approaches 0; and a second size difference trend of the plurality of features obtained according to the plurality of features arranged along the X axis of the object to be tested, and according to the second size difference trend The angle of the Y-axis of the camera unit is rotated such that the second size difference trend approaches zero. The method for automatically correcting an object according to claim 7, further comprising the steps of: determining that the tilting degree is greater than 0, controlling the camera unit to rotate counterclockwise along the Z axis; or determining that the tilt is less than 0 At the same time, the camera unit is controlled to rotate clockwise in the Z-axis direction. The method for automatically correcting an object according to claim 7, further comprising the steps of: determining that the first size difference trend is that the plurality of features gradually become larger from the bottom to the top of the screen, and controlling the camera unit along the X axis Rotating in a clockwise direction; or, determining that the first size difference trend is that the plurality of features gradually decrease from the bottom to the top of the screen, and controlling the camera unit to rotate counterclockwise along the X axis. The method for automatically correcting an object according to claim 7 further includes the following steps: determining that the second size difference trend is that the plurality of features gradually become larger from left to right in the screen, and the camera unit is controlled along Y The axis rotates in a clockwise direction; or, it is determined that the second size difference trend is that the plurality of features gradually decrease from left to right in the screen, and the camera unit is controlled to rotate counterclockwise along the Y axis. An automatic correction detecting device is used for detecting a display panel, comprising: a working platform configured to fix the display panel; an imaging unit disposed relative to the display panel to capture the display panel to obtain a plurality of a displacement module is connected to the camera unit to drive the camera unit to move or rotate along the X, Y, and Z axes, respectively; and a processing module that connects the camera unit and the displacement module. The processing module identifies a plurality of features arranged along the Y-axis of the display panel from the plurality of images to form an imaginary line, and rotates the Z-axis of the imaging unit according to the inclination of the imaginary line from the Y-axis. An angle such that the inclination approaches 0, and the plurality of features of the display panel aligned along the Y-axis are identified to obtain a first size difference trend of the plurality of features, and according to the first size difference The trend rotates an angle of the X-axis of the camera unit such that the first size difference trend approaches 0, and the plurality of features arranged along the X-axis of the display panel are recognized to obtain the complex number A second Y-axis angular difference in size of the trend characteristics, and rotation of the second image pickup unit according to the trend of size difference, that the second size difference close to 0 trend. The automatic calibration detecting device according to claim 11, wherein the processing module determines that the tilting module is greater than 0, and controls the displacement module to rotate the camera unit in a counterclockwise direction along the Z axis, and determines the tilt. When less than 0, the displacement module is controlled to rotate the camera unit clockwise along the Z axis. The automatic calibration detecting device according to claim 11, wherein the processing module determines that the first size difference trend is that the plurality of features are gradually increased from bottom to top in the screen to control the displacement module to make the camera unit Rotating clockwise along the X axis, and determining that the first size difference trend is that the plurality of features are gradually changed from bottom to top in the picture to control the displacement module to rotate the camera unit in the counterclockwise direction along the X axis. The automatic calibration detecting device according to claim 11, wherein the processing module determines that the second size difference trend is that the plurality of features are gradually increased from left to right in the screen to control the displacement module to make the camera. The unit rotates clockwise along the Y axis, and determines that the second size difference trend is that the plurality of features are gradually changed from left to right in the screen to control the displacement module to rotate the camera unit in the counterclockwise direction along the Y axis. The automatic calibration detecting device according to claim 11, wherein the processing module controls the camera unit to respectively capture a plurality of regions of the display panel to obtain a plurality of region images, and the processing module uses the plurality of regions The area images are stitched together into a mosaic image. The automatic calibration detecting device of claim 15, wherein the processing module performs uniform brightness on the spliced image to make the spliced image brightness uniform. The automatic calibration detecting device of claim 15, wherein the processing module performs a grayscale fusion on the mosaic image to eliminate a stitching line generated in the stitched image when the plurality of region images are stitched. The automatic calibration detecting device of claim 11, further comprising a dust removing module disposed on the working table to remove foreign matter on the display panel. The automatic calibration detecting device of claim 18, wherein the dust removing module comprises a blowing unit that blows the display panel to remove foreign matter on the display panel. The automatic calibration detecting device of claim 18, wherein the dust removing module comprises a brushing unit configured to reciprocally move on the display panel to wipe or stick foreign matter on the display panel.