Light ray blurring correction method for family teaching type projector

Abstract

The invention belongs to the field of projector correction, relates to a data analysis technology, and aims to solve the problem that the display effect of a family teaching type projector cannot be guaranteed every time the family teaching type projector is used in the prior art, in particular to a light fuzzy correction method for the family teaching type projector. Comprising the following steps: carrying out placement monitoring analysis on the family teaching type projector: obtaining a plurality of vertical distance values through a plurality of infrared distance meters arranged on a shell on the projection side of the family teaching type projector, summing all the vertical distance values, and averaging to obtain a distance performance value; performing variance calculation on all the vertical distance values to obtain a vertical expression value, and judging whether the placement distance meets the requirement or not according to the distance expression value; according to the invention, the placement position and angle of the family teaching type projector can be monitored before projection work, the angle and position of the family teaching type projector are corrected according to the vertical performance value and the distance performance value, projection is carried out under the condition of ensuring normal placement, and the probability of abnormal projection definition is reduced.

Description

Technical Field

[0001] The invention belongs to the field of projector correction, relates to data analysis technology, and specifically is a light blur correction method for a tutor-type projector. Background Art

[0002] A projector is a device that can project images or videos onto a screen. It can be connected to electronic devices through different interfaces and play corresponding video signals. A tutoring projector is used to project tutoring content, using a projector to realize the functions of a traditional tutoring machine. It has the advantages and characteristics of eye protection, portability, and adjustable distance.

[0003] The invention patent with announcement number CN110148099B discloses a method and device for correcting projection relationships, an electronic device, and a computer-readable medium. The correction method calculates the registration relationship between the image semantic data and the point cloud image data corresponding to the same map element for the same map element; and corrects the projection relationship to be corrected according to the registration relationship; however, the correction method cannot perform a projection clarity test before each projection, and thus cannot guarantee the display effect of the tutor-type projector each time it is used, nor can it recommend a correction decision when the display clarity is abnormal, resulting in low correction efficiency.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The object of the present invention is to provide a light blur correction method for a tutor-type projector, so as to solve the problem that the prior art cannot guarantee the display effect of the tutor-type projector every time it is used;

[0006] The technical problem to be solved by the present invention is: how to provide a light blur correction method for a tutoring projector which can ensure the display effect of the tutoring projector every time it is used.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A light blur correction method for a tutor-type projector comprises the following steps:

[0009] Step S1: Monitor and analyze the placement of the tutoring projector:

[0010] Step S11: obtaining a plurality of vertical distance values ​​through a plurality of infrared rangefinders provided on a shell of a projection side of the tutor-type projector, summing up and averaging all the vertical distance values ​​to obtain a distance performance value, and performing variance calculation on all the vertical distance values ​​to obtain a vertical performance value;

[0011] Step S12: judging whether the placement distance meets the requirement according to the distance performance value;

[0012] Step S13: judging whether the placement angle meets the requirements according to the vertical performance value;

[0013] Step S2: Monitor the projection clarity of the tutoring projector:

[0014] Step S21: projecting the test image through a tutor-type projector, and photographing the projected test image to obtain a display image;

[0015] Step S22: Obtain the horizontal gradient value ST, vertical gradient value CT and layer data CC of the display image;

[0016] Step S23: numerically calculate the horizontal gradient value ST, the vertical gradient value CT and the layer data CC to obtain the clarity coefficient QX of the displayed image; determine whether the clarity monitoring result of the tutor-type projector meets the requirements by the clarity coefficient QX, and if it does not meet the requirements, execute step S3;

[0017] Step S3: Perform clarity correction analysis on the tutoring projector and mark the correction method as external light and shadow adjustment correction or lens cleaning correction.

[0018] Furthermore, in step S12, the specific process of determining whether the placement distance meets the requirements includes: retrieving the appropriate distance range, and comparing the distance performance value with the appropriate distance range: if the distance performance value is within the appropriate distance range, then it is determined that the placement distance meets the requirements, and step S13 is executed; if the distance performance value is outside the appropriate distance range, then it is determined that the placement distance does not meet the requirements, and a distance adjustment instruction is voice broadcast, and the content of the distance adjustment instruction includes the distance adjustment processing steps entered in advance and the appropriate distance range.

[0019] Furthermore, in step S13, the specific process of determining whether the placement angle meets the requirements includes: calling the vertical performance threshold, and comparing the vertical performance value with the vertical performance threshold: if the vertical performance value is less than or equal to the vertical performance threshold, then it is determined that the placement angle meets the requirements, and step S2 is executed; if the vertical performance value is greater than the vertical performance threshold, then it is determined that the placement angle does not meet the requirements, and the angle adjustment instruction is voice broadcast, and the content of the angle adjustment instruction includes the angle adjustment processing steps entered in advance.

[0020] Furthermore, in step S22, the process of obtaining the horizontal gradient value ST, the vertical gradient value CT and the hierarchical data CC includes: enlarging the display image into a pixel grid image and performing a grayscale transformation, calculating the gradients of the display image in the horizontal and vertical directions respectively using the Sobel operator through the Tenengrad gradient method and marking them as the horizontal gradient value ST and the vertical gradient value CT, then calculating the average grayscale value of all pixel grids of the display image and marking it as the gray mean, and marking the sum of the squares of the differences between the grayscale values ​​of all pixel grids of the display image and the gray mean as the hierarchical data CC of the display image.

[0021] Further, in step S23, the specific process of determining whether the clarity monitoring result of the tutor-type projector meets the requirements includes: comparing the clarity coefficient QX of the displayed image with the clarity coefficient QXmin: if the clarity coefficient QX is less than the clarity threshold QXmin, it is determined that the clarity monitoring result of the tutor-type projector does not meet the requirements, and step S3 is executed; if the clarity coefficient QX is greater than or equal to the clarity threshold QXmin, it is determined that the clarity monitoring result of the tutor-type projector meets the requirements, and the projection work is started.

[0022] Furthermore, in step S3, the specific process of performing clarity correction analysis on the tutoring projector includes:

[0023] Step S31: Retrieve a number of corrected images of the same specification and project them sequentially through the tutor-type projector, shoot the corrected images after projecting to obtain analysis images, enlarge the analysis images into pixel grid images and perform grayscale conversion;

[0024] Step S32: screening the fuzzy grids in the analysis image;

[0025] Step S33: The coordinate values ​​of all fuzzy grids in the analysis image constitute a fuzzy set of the analysis image, the collection of the fuzzy sets of all the analysis images is marked as the analysis set, the number of elements of the fuzzy sets of all the analysis images is summed and averaged to obtain the analysis standard value, and the ratio of the number of elements of the analysis set to the analysis standard value is marked as the fixed coefficient of the tutor-type projector;

[0026] Step S34: Compare the fixed coefficient of the tutoring projector with a preset fixed threshold and mark the correction method according to the comparison result.

[0027] Further, in step S32, the screening process of the fuzzy grids in the analysis image includes: marking all pixel grids in the analysis image as analysis grids in turn by traversal screening, calculating the absolute value of the difference between the grayscale value of the analysis grid and the grayscale value of the adjacent pixel grid and marking it as the fuzzy value of the adjacent pixel grid, summing up the fuzzy values ​​of all adjacent pixel grids of the analysis grid and taking the average value to obtain the fuzzy coefficient of the analysis grid, and comparing the fuzzy coefficient with a preset fuzzy threshold: if the fuzzy coefficient is less than the fuzzy threshold, the corresponding analysis grid is marked as a fuzzy grid; if the fuzzy coefficient is greater than or equal to the fuzzy threshold, the corresponding analysis grid is marked as a normal grid.

[0028] Furthermore, in step S34, the specific process of marking the correction method includes: if the fixed coefficient is less than the fixed threshold value, the correction method of the tutor-type projector is marked as external light and shadow adjustment correction, the light and shadow adjustment instructions are voice broadcast, and the content of the light and shadow adjustment instructions includes the light and shadow adjustment processing steps recorded in advance; if the fixed coefficient is greater than or equal to the fixed threshold value, the correction method of the tutor-type projector is marked as lens cleaning correction, the lens cleaning instructions are voice broadcast, and the content of the lens cleaning instructions includes the lens cleaning processing steps recorded in advance.

[0029] The present invention has the following beneficial effects:

[0030] 1. Through placement monitoring and analysis, the placement position and angle of the tutor-type projector can be monitored before projection, and the angle and position of the tutor-type projector can be corrected according to the vertical performance value and the distance performance value. Projection can be performed while ensuring normal placement, reducing the probability of abnormal projection clarity;

[0031] 2. Through projection clarity monitoring, the clarity monitoring and analysis can be performed before the projection work. Multiple clarity parameters of the display image obtained by projecting the test image can be collected and calculated to obtain the clarity coefficient. According to the clarity coefficient, the projection clarity of the tutor-type projector can be fed back. When the clarity is abnormal, the correction analysis process can be triggered to ensure the display clarity during the projection work;

[0032] 3. Through the clarity correction analysis, the correction method can be automatically recommended when the projection clarity is abnormal. The tutor-type projector is used to project multiple corrected images, and then the fuzzy grid distribution characteristics in the multiple corrected images are analyzed to obtain the fixed coefficient. The correction method is then marked according to the fixed coefficient to improve the correction efficiency when the projection clarity is abnormal. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 This is a flow chart of a method according to Embodiment 1 of the present invention;

[0035] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0036] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] Embodiment 1: Figure 1 As shown, the light blur correction method for a tutor-type projector comprises the following steps:

[0038] Step S1: Monitor and analyze the placement of the tutoring projector:

[0039] Step S11: obtaining a plurality of vertical distance values ​​through a plurality of infrared rangefinders provided on a shell of a projection side of the tutor-type projector, summing up and averaging all the vertical distance values ​​to obtain a distance performance value, and performing variance calculation on all the vertical distance values ​​to obtain a vertical performance value;

[0040] Step S12: retrieve the appropriate distance range, and compare the distance performance value with the appropriate distance range: if the distance performance value is within the appropriate distance range, it is determined that the placement distance meets the requirements, and step S13 is executed; if the distance performance value is outside the appropriate distance range, it is determined that the placement distance does not meet the requirements, and a distance adjustment instruction is broadcasted by voice, and the content of the distance adjustment instruction includes the distance adjustment processing steps and the appropriate distance range entered in advance;

[0041] Step S13: Retrieve the vertical performance threshold, and compare the vertical performance value with the vertical performance threshold: if the vertical performance value is less than or equal to the vertical performance threshold, it is determined that the placement angle meets the requirement, and step S2 is executed; if the vertical performance value is greater than the vertical performance threshold, it is determined that the placement angle does not meet the requirement, and the angle adjustment instruction is voice broadcast, and the content of the angle adjustment instruction includes the angle adjustment processing steps entered in advance;

[0042] Before projection, the placement and angle of the tutor-type projector are monitored, and the angle and position of the tutor-type projector are corrected according to the vertical performance value and the distance performance value. Projection is performed while ensuring normal placement to reduce the probability of abnormal projection clarity.

[0043] Step S2: Monitor the projection clarity of the tutoring projector:

[0044] Step S21: projecting a test image through a tutor-type projector, and photographing the projected test image to obtain a display image; the test image includes a stripe image and a pattern for detecting contrast;

[0045] Step S22: enlarge the display image into a pixel grid image and perform grayscale transformation, and use the Tenengrad gradient method (in the Tenengrad algorithm, edge detection operators such as Sobel are first applied to the image to detect edges, and then the gradient amplitudes of the detected edges are calculated, and these amplitudes are statistically analyzed to obtain a metric representing image clarity) to respectively calculate the gradients of the display image in the horizontal and vertical directions using the Sobel operator and mark them as the horizontal gradient value ST and the vertical gradient value CT, and then calculate the average grayscale values ​​of all pixel grids of the display image and mark it as the gray mean value, and mark the sum of the squares of the differences between the grayscale values ​​of all pixel grids of the display image and the gray mean value (i.e., the variance calculation result of the grayscale values ​​of all pixel grids) as the hierarchical data CC of the display image;

[0046] Step S23: By formula Obtain a clarity coefficient QX of the displayed image, wherein k1, k2 and k3 are all proportional coefficients, and k1>k2>k3>1; retrieve a clarity threshold QXmin of the displayed image, and compare the clarity coefficient QX of the displayed image with the clarity coefficient QXmin: if the clarity coefficient QX is less than the clarity threshold QXmin, it is determined that the clarity monitoring result of the tutor-type projector does not meet the requirements, and step S3 is executed; if the clarity coefficient QX is greater than or equal to the clarity threshold QXmin, it is determined that the clarity monitoring result of the tutor-type projector meets the requirements, and the projection work is started;

[0047] The multiple clarity parameters of the display image obtained by projecting the test image are collected and calculated to obtain the clarity coefficient. The projection clarity of the tutor-type projector is fed back according to the clarity coefficient. When the clarity is abnormal, the correction analysis process is triggered to ensure the display clarity during projection operation.

[0048] Step S3: Perform clarity correction analysis on the tutoring projector:

[0049] Step S31: Retrieve a number of corrected images of the same specification and project them sequentially through the tutor-type projector, shoot the corrected images after projecting to obtain analysis images, enlarge the analysis images into pixel grid images and perform grayscale conversion;

[0050] Step S32: Screening the fuzzy grids in the analysis image: marking all pixel grids in the analysis image as analysis grids in turn by traversing and screening, calculating the absolute value of the difference between the grayscale value of the analysis grid and the grayscale value of the adjacent pixel grid and marking it as the fuzzy value of the adjacent pixel grid, summing up the fuzzy values ​​of all adjacent pixel grids of the analysis grid and taking the average value to obtain the fuzzy coefficient of the analysis grid, and comparing the fuzzy coefficient with a preset fuzzy threshold: if the fuzzy coefficient is less than the fuzzy threshold, marking the corresponding analysis grid as a fuzzy grid; if the fuzzy coefficient is greater than or equal to the fuzzy threshold, marking the corresponding analysis grid as a normal grid;

[0051] Step S33: The coordinate values ​​of all fuzzy grids in the analysis image constitute a fuzzy set of the analysis image, the collection of the fuzzy sets of all the analysis images is marked as the analysis set, the number of elements of the fuzzy sets of all the analysis images is summed and averaged to obtain the analysis standard value, and the ratio of the number of elements of the analysis set to the analysis standard value is marked as the fixed coefficient of the tutor-type projector;

[0052] Step S34: Compare the fixed coefficient of the tutor-type projector with a preset fixed threshold value: if the fixed coefficient is less than the fixed threshold value, the correction mode of the tutor-type projector is marked as external light and shadow adjustment correction, and the light and shadow adjustment instructions are broadcast by voice, and the content of the light and shadow adjustment instructions includes the light and shadow adjustment processing steps recorded in advance; if the fixed coefficient is greater than or equal to the fixed threshold value, the correction mode of the tutor-type projector is marked as lens cleaning correction, and the lens cleaning instructions are broadcast by voice, and the content of the lens cleaning instructions includes the lens cleaning processing steps recorded in advance.

[0053] A tutor-type projector is used to project multiple corrected images, and then the fuzzy grid distribution characteristics in the multiple corrected images are analyzed to obtain fixed coefficients, and then the correction method is marked according to the fixed coefficients to improve the correction efficiency when the projection clarity is abnormal.

[0054] Embodiment 2: Figure 2 As shown, a light blur correction system for a tutor-type projector includes a processor, and the processor is communicatively connected with a placement monitoring module, a clarity monitoring module, a correction analysis module, and a storage module.

[0055] The placement monitoring module is used to monitor and analyze the placement of the tutoring projector.

[0056] The clarity monitoring module is used to monitor the projection clarity of the tutoring projector.

[0057] The correction analysis module is used to perform clarity correction analysis on the tutoring projector.

[0058] The storage module is used to store values ​​such as the appropriate distance range, the vertical performance threshold, the clear threshold QXmin, the fixed threshold, and images such as the test image and the corrected image.

[0059] A light blur correction method for a tutor-type projector, when working, obtains several vertical distance values ​​through several infrared rangefinders arranged on a shell of a projection side of the tutor-type projector, sums and averages all vertical distance values ​​to obtain a distance performance value, calculates the variance of all vertical distance values ​​to obtain a vertical performance value, and determines whether the placement distance and the placement angle meet the requirements through the distance performance value and the vertical performance value; projects a test image through the tutor-type projector, shoots the projected test image to obtain a display image, obtains a horizontal gradient value ST, a vertical gradient value CT and hierarchical data CC of the display image, and performs numerical calculations to obtain a clarity coefficient QX of the display image, and determines whether the clarity monitoring result of the tutor-type projector meets the requirements through the clarity coefficient QX, and if it does not meet the requirements, performs clarity correction analysis on the tutor-type projector and marks the correction method as external light and shadow adjustment correction or lens cleaning correction.

[0060] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0061] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The coefficients in the formula are set by technicians in this field according to actual conditions; for example: Formula A technician in this field collects multiple groups of sample data and sets a corresponding clarity coefficient for each group of sample data; substitutes the set clarity coefficient and the collected sample data into the formula, any three formulas constitute a three-variable linear equation system, and the calculated coefficients are screened and averaged to obtain the values ​​of k1, k2 and k3, which are 3.62, 2.75 and 2.02 respectively;

[0062] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding clarity coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the clarity coefficient is proportional to the value of the horizontal gradient value.

[0063] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0064] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A light blur correction method for a tutor-type projector, characterized in that: The following steps are involved: Step S1: Monitor and analyze the placement of the tutoring projector: Step S11: obtaining a plurality of vertical distance values ​​through a plurality of infrared rangefinders provided on a shell of a projection side of the tutor-type projector, summing up and averaging all the vertical distance values ​​to obtain a distance performance value, and performing variance calculation on all the vertical distance values ​​to obtain a vertical performance value; Step S12: judging whether the placement distance meets the requirement according to the distance performance value; Step S13: judging whether the placement angle meets the requirements according to the vertical performance value; Step S2: Monitor the projection clarity of the tutoring projector: Step S21: projecting the test image through a tutor-type projector, and photographing the projected test image to obtain a display image; Step S22: Obtain the horizontal gradient value ST, vertical gradient value CT and layer data CC of the display image; Step S23: numerically calculating the horizontal gradient value ST, the vertical gradient value CT and the layer data CC to obtain a clarity coefficient QX of the displayed image; Determine whether the clarity monitoring result of the tutoring projector meets the requirement by using the clarity coefficient QX, and if it does not meet the requirement, execute step S3; Step S3: Perform clarity correction analysis on the tutoring projector and mark the correction method as external light and shadow adjustment correction or lens cleaning correction.

2. The light blur correction method for a tutoring projector according to claim 1, characterized in that: In step S12, the specific process of determining whether the placement distance meets the requirements includes: calling up the appropriate distance range, and comparing the distance performance value with the appropriate distance range: if the distance performance value is within the appropriate distance range, then it is determined that the placement distance meets the requirements, and step S13 is executed; if the distance performance value is outside the appropriate distance range, then it is determined that the placement distance does not meet the requirements, and a distance adjustment instruction is voice broadcast, and the content of the distance adjustment instruction includes the distance adjustment processing steps entered in advance and the appropriate distance range.

3. The light blur correction method for a tutoring projector according to claim 2, characterized in that: In step S13, the specific process of determining whether the placement angle meets the requirements includes: calling the vertical performance threshold, comparing the vertical performance value with the vertical performance threshold: if the vertical performance value is less than or equal to the vertical performance threshold, then it is determined that the placement angle meets the requirements, and step S2 is executed; if the vertical performance value is greater than the vertical performance threshold, then it is determined that the placement angle does not meet the requirements, and the angle adjustment instruction is voice broadcast, and the content of the angle adjustment instruction includes the angle adjustment processing steps entered in advance.

4. The light blur correction method for a tutor-type projector according to claim 3, characterized in that: In step S22, the process of obtaining the horizontal gradient value ST, the vertical gradient value CT and the hierarchical data CC includes: enlarging the display image into a pixel grid image and performing a grayscale transformation, calculating the gradients of the display image in the horizontal and vertical directions respectively using the Sobel operator through the Tenengrad gradient method and marking them as the horizontal gradient value ST and the vertical gradient value CT, then calculating the average grayscale value of all pixel grids of the display image and marking it as the gray mean, and marking the sum of the squares of the differences between the grayscale values ​​of all pixel grids of the display image and the gray mean as the hierarchical data CC of the display image.

5. The light blur correction method for a tutoring projector according to claim 4, characterized in that: In step S23, the specific process of determining whether the clarity monitoring result of the tutor-type projector meets the requirements includes: comparing the clarity coefficient QX of the displayed image with the clarity coefficient QXmin: if the clarity coefficient QX is less than the clarity threshold QXmin, it is determined that the clarity monitoring result of the tutor-type projector does not meet the requirements, and step S3 is executed; if the clarity coefficient QX is greater than or equal to the clarity threshold QXmin, it is determined that the clarity monitoring result of the tutor-type projector meets the requirements, and the projection work is started.

6. The light blur correction method for a tutoring projector according to claim 5, characterized in that: In step S3, the specific process of performing clarity correction analysis on the tutoring projector includes: Step S31: Retrieve a number of corrected images of the same specification and project them sequentially through the tutor-type projector, shoot the corrected images after projecting to obtain analysis images, enlarge the analysis images into pixel grid images and perform grayscale conversion; Step S32: screening the fuzzy grids in the analysis image; Step S33: The coordinate values ​​of all fuzzy grids in the analysis image constitute a fuzzy set of the analysis image, the collection of the fuzzy sets of all the analysis images is marked as the analysis set, the number of elements of the fuzzy sets of all the analysis images is summed and averaged to obtain the analysis standard value, and the ratio of the number of elements of the analysis set to the analysis standard value is marked as the fixed coefficient of the tutor-type projector; Step S34: Compare the fixed coefficient of the tutoring projector with a preset fixed threshold and mark the correction method according to the comparison result.

7. The light blur correction method for a tutoring projector according to claim 6, characterized in that: In step S32, the screening process of the fuzzy grids in the analysis image includes: marking all pixel grids in the analysis image as analysis grids in turn by traversal screening, calculating the absolute value of the difference between the grayscale value of the analysis grid and the grayscale value of the adjacent pixel grid and marking it as the fuzzy value of the adjacent pixel grid, summing up the fuzzy values ​​of all adjacent pixel grids of the analysis grid and taking the average value to obtain the fuzzy coefficient of the analysis grid, and comparing the fuzzy coefficient with a preset fuzzy threshold: if the fuzzy coefficient is less than the fuzzy threshold, the corresponding analysis grid is marked as a fuzzy grid; if the fuzzy coefficient is greater than or equal to the fuzzy threshold, the corresponding analysis grid is marked as a normal grid.

8. The light blur correction method for a tutoring projector according to claim 7, characterized in that: In step S34, the specific process of marking the correction method includes: if the fixed coefficient is less than the fixed threshold value, the correction method of the tutor-type projector is marked as external light and shadow adjustment correction, the light and shadow adjustment instructions are voice broadcast, and the content of the light and shadow adjustment instructions includes the light and shadow adjustment processing steps recorded in advance; if the fixed coefficient is greater than or equal to the fixed threshold value, the correction method of the tutor-type projector is marked as lens cleaning correction, the lens cleaning instructions are voice broadcast, and the content of the lens cleaning instructions includes the lens cleaning processing steps recorded in advance.

Images