Glass single-side processing detection method, system and terminal

Abstract

The present invention relates to a method, system and terminal for detecting single-sided processing of glass, and relates to the technical field of glass processing. The method comprises: obtaining a detection image of the glass surface after grinding after the single-sided grinding of the glass is completed; recognizing the detection image based on a preset projection feature to form a projection image; judging whether the projection image is consistent with a preset projection reference image; if yes, clamping the glass to a preset qualified area; if no, analyzing the deviation between the projection image and the projection reference image and using it as projection deviation information; determining processing abnormality warning information according to the projection deviation information, and outputting the processing abnormality warning information to a terminal held by a manager. The present invention has the effect of improving the quality pass rate of the glass products finally produced.

Description

Technical Field

[0001] The present invention relates to the technical field of glass processing, and in particular to a method, system and terminal for detecting single-side processing of glass. Background Art

[0002] Glass processing refers to the process of subjecting glass raw materials to a series of physical or chemical treatments to change their shape, size, performance or appearance so that they can meet the needs of various industries, construction, home, art and other fields.

[0003] In the process of processing PPG glass into lenses, after the glass is cut into the required shape, the glass surface needs to be ground and polished to ensure its surface flatness and smoothness. The current way of grinding glass is usually to limit the glass in the placement groove, and then control the grinding wheel to descend to grind the surface of the glass. After the glass is ground, the projector is used to illuminate the ground glass at an angle, so that the circular image is projected onto the glass surface, and the light spot generated in the circular area is manually checked to detect the grinding condition of the glass.

[0004] When inspecting the ground glass, it is necessary to manually check the light spot produced in the circular area projected by the projector onto the glass. Different inspectors may have different judgment standards for the light spot, which may easily lead to a lower quality pass rate of the final glass products. Summary of the invention

[0005] In order to improve the quality pass rate of glass products finally produced, the present invention provides a glass single-side processing detection method, system and terminal.

[0006] In a first aspect, the present invention provides a method for detecting single-sided processing of glass, which adopts the following technical solution:

[0007] A glass single-side processing detection method, comprising:

[0008] After the single-side grinding of the glass is completed, a detection image of the glass surface after grinding is obtained;

[0009] Recognizing the detection image based on the preset projection features to form a projection image;

[0010] Determine whether the projected image is consistent with a preset projection reference image;

[0011] If yes, clamp the glass to the preset qualified area;

[0012] If not, then analyzing the deviation between the projected image and the projection reference image and using it as projection deviation information;

[0013] The processing abnormality warning information is determined based on the projection deviation information, and the processing abnormality warning information is output to the terminal held by the management personnel.

[0014] Optionally, the method for determining the processing abnormality warning information includes:

[0015] Retrieving abnormal brightness values ​​and deviation position points corresponding to the abnormal brightness values ​​based on the projection deviation information;

[0016] Recognizing the projected image based on a preset detection ring feature to form a detection ring image;

[0017] Performing position comparison based on the detection ring image and the projection image to determine the detection ring area;

[0018] Determine whether the deviation position point is within the detection ring area;

[0019] If yes, then the grinding abnormality warning information is determined according to the abnormal brightness value and the deviation position point, and the grinding abnormality warning information is used as the processing abnormality warning information;

[0020] If not, retrieve the edge position point set based on the projection image;

[0021] According to the consistency between the deviation position point and the edge position point set, the common abnormal warning information is determined, and the common abnormal warning information is used as the processing abnormal warning information.

[0022] Optionally, the method for determining the grinding abnormality warning information includes:

[0023] Obtaining the grinding equipment model information corresponding to the grinding equipment used to grind the glass;

[0024] Retrieving the reference area value of the grinding particles based on the model information of the grinding equipment;

[0025] Retrieve the position deviation area value based on the deviation position point;

[0026] Determine whether the position deviation area value is greater than the grinding particle reference area value;

[0027] If yes, then the quotient between the position deviation area value and the grinding particle reference area value is calculated and used as the area deviation reference individual value;

[0028] Determine the area abnormality warning information according to the area deviation benchmark number value and the abnormal brightness value, and use the area abnormality warning information as the grinding abnormality warning information;

[0029] If not, the grinding particle abnormality warning information corresponding to the deviation area brightness deviation value and the abnormal brightness value is determined according to the correspondence between the deviation area brightness deviation value, the abnormal brightness value and the preset grinding particle abnormality warning information, and the grinding particle abnormality warning information is used as the grinding abnormality warning information.

[0030] Optionally, a method for determining area abnormality warning information includes:

[0031] Retrieve grinding benchmark values ​​based on grinding equipment model information;

[0032] Determine whether the area deviation reference value is less than the grinding reference value;

[0033] If yes, determine the abnormal depth value based on the abnormal brightness value;

[0034] According to the correspondence between the abnormal depth value, the area deviation benchmark number of values ​​and the preset depth abnormality warning information, the depth abnormality warning information corresponding to the abnormal depth value and the area deviation benchmark number of values ​​is determined, and the depth abnormality warning information is used as the area abnormality warning information;

[0035] If not, obtain the ambient lighting information;

[0036] Determine the brightness range affected by the environment based on the ambient lighting information;

[0037] Based on the fall between the abnormal brightness value and the environmental impact brightness range, the ambient light warning information is determined, and the ambient light warning information is used as the area abnormality warning information.

[0038] Optionally, a method for determining an abnormal depth value includes:

[0039] Based on the preset moving distance value, a preset image detection device is controlled to move to reacquire the detection image as a comparison image;

[0040] Re-determine the abnormal brightness value based on the comparison image and use it as the comparison brightness value;

[0041] Calculate the difference between the abnormal brightness value and the comparison brightness value and use it as the brightness deviation value;

[0042] Determine whether the brightness deviation value falls within a preset brightness reference deviation range;

[0043] If yes, then determining the brightness estimated depth value corresponding to the abnormal brightness value according to the correspondence between the abnormal brightness value and the preset brightness estimated depth value, and using the brightness estimated depth value as the abnormal depth value;

[0044] If not, controlling a preset heating device based on a preset heating reference duration to heat the glass surface;

[0045] Jump to execution to obtain the inspection image of the glass surface after grinding.

[0046] Optionally, the method further includes a step after controlling a preset heating device based on a preset heating reference time to heat the glass surface, which is specifically as follows:

[0047] Controlling a preset dropping device to drop contrast liquid onto the glass surface, and reacquiring a detection image as a drop liquid image;

[0048] Performing grayscale conversion based on the falling liquid image to form a grayscale image;

[0049] Retrieving the grayscale detection value of each position based on the grayscale image;

[0050] Determine whether the grayscale detection values ​​are consistent;

[0051] If yes, clamp the glass to the preset qualified area;

[0052] If not, the consistent grayscale detection value is used as the reference grayscale value, the inconsistent grayscale detection value is used as the abnormal grayscale value, and the position point corresponding to the abnormal grayscale value is used as the abnormal grayscale position point;

[0053] Calculate the difference between the abnormal grayscale value and the reference grayscale value and use it as the grayscale deviation value;

[0054] According to the corresponding relationship between the grayscale deviation value and the preset grayscale depth estimation value, a grayscale depth estimation value corresponding to the grayscale deviation value is determined;

[0055] According to the correspondence between the grayscale depth estimation value, the abnormal grayscale position point and the preset glass abnormality warning information, the glass abnormality warning information corresponding to the grayscale depth estimation value and the abnormal grayscale position point is determined, and the glass abnormality warning information is output to the terminal held by the management personnel.

[0056] Optionally, the method further includes a step after calculating the difference between the abnormal grayscale value and the reference grayscale value and taking the difference as the grayscale deviation value, which is specifically as follows:

[0057] Determine whether the deviation position point is consistent with the abnormal grayscale position point;

[0058] If yes, continue to output the grayscale deviation value;

[0059] If not, get the detection location point;

[0060] Query and retrieve surrounding dust type information based on the detection location point;

[0061] According to the correspondence between the surrounding dust type information and the preset dust type grayscale reference influence value, the dust type grayscale reference influence value corresponding to the surrounding dust type information is determined;

[0062] The grayscale deviation value is updated based on the grayscale reference influence value of the dust type and the updated grayscale deviation value is output.

[0063] Optionally, the method for determining the environment-affected brightness range includes:

[0064] Get glass material information;

[0065] According to the correspondence between the glass material information and the preset reflective unit value, the reflective unit value corresponding to the glass material information is determined;

[0066] Retrieve the ambient light angle value and the ambient light brightness value based on the ambient light information;

[0067] Calculate the product of the ambient light illuminance value and the reflective unit value and use it as the reflective reference brightness value;

[0068] Calculate the difference between the ambient light angle value and the preset projection angle reference value and use it as the ambient light angle deviation value;

[0069] According to the corresponding relationship between the ambient light angle deviation value and the preset angle deviation influence value, the angle deviation influence value corresponding to the ambient light angle deviation value is determined;

[0070] Calculate the product value between the reflective reference brightness value and the angle deviation influence value and use it as the reflective brightness adjustment value;

[0071] According to the correspondence between the reflected brightness adjustment value and the preset reflected brightness adjustment interval, the reflected brightness adjustment interval corresponding to the reflected brightness adjustment value is determined, and the reflected brightness adjustment interval is used as the environment-affected brightness interval.

[0072] In a second aspect, the present invention provides a glass single-side processing detection system, which adopts the following technical solution:

[0073] A glass single-side processing detection system, comprising:

[0074] An acquisition module is used to acquire the detection image, grinding equipment model information, ambient light information and detection location points;

[0075] A memory, used to store a program of the glass single-side processing detection method as described in the first aspect;

[0076] The processor loads and executes the program in the memory.

[0077] In a third aspect, the present invention provides an intelligent terminal, which adopts the following technical solution:

[0078] An intelligent terminal comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and executes the glass single-side processing detection method as described in the first aspect.

[0079] In summary, the present invention includes at least one of the following beneficial technical effects:

[0080] 1. After the glass is ground on one side, the detection image is acquired and recognized to form a projection image. The projection image is judged to be consistent with the preset projection reference image. If they are consistent, the glass is clamped to the preset qualified area. If they are inconsistent, the projection deviation information is analyzed to determine the abnormal processing warning information and output it to the terminal held by the manager, so as to automatically detect the ground glass in accordance with the consistent standards, reduce the impact of manual detection, and thus improve the quality qualification rate of the final glass products;

[0081] 2. The deviation position point and abnormal brightness value are retrieved through the projection deviation information, and the detection ring image is identified and compared to determine the detection ring area. It is judged whether the deviation position point is located in the detection ring area. When it is located, the grinding abnormality warning information is determined by the abnormal brightness value and the deviation position point and used as the processing abnormality warning information. When it is not located, the edge position point set is retrieved based on the projection image and the consistency between the deviation position point and the edge position point set is analyzed, so as to determine the general abnormality warning information and use it as the processing abnormality warning information, thereby improving the accuracy of the obtained processing abnormality warning information;

[0082] 3. Obtain the model information of the grinding equipment and call the reference area value of the grinding particles, call the position deviation area value through the deviation position point, and then judge whether the position deviation area value is greater than the reference area value of the grinding particles. When it is greater, calculate the area deviation reference value, and then determine the area abnormality warning information through the area deviation reference value and the abnormal brightness value and use it as the grinding abnormality warning information. When it is not greater than, determine the grinding particle abnormality warning information through the deviation area brightness deviation value and the abnormal brightness value and use it as the grinding abnormality warning information, thereby improving the accuracy of the acquired grinding abnormality warning information. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] Figure 1 is a flow chart of a method for detecting single-sided processing of glass according to an embodiment of the present application;

[0084] Figure 2 is a flow chart of a method for determining processing abnormality warning information according to an embodiment of the present application;

[0085] Figure 3 is a flow chart of a method for determining grinding abnormality warning information according to an embodiment of the present application;

[0086] Figure 4 is a flow chart of a method for determining area abnormality warning information according to an embodiment of the present application;

[0087] Figure 5 is a flow chart of a method for determining an abnormal depth value in an embodiment of the present application;

[0088] Figure 6 is a method flow chart of the steps after controlling a preset heating device based on a preset heating reference time to heat the glass surface in an embodiment of the present application;

[0089] Figure 7 It is a method flow chart of the step after calculating the difference between the abnormal grayscale value and the reference grayscale value and taking it as the grayscale deviation value in an embodiment of the present application. DETAILED DESCRIPTION

[0090] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0091] A single-side processing inspection method for glass determines whether the glass is qualified by acquiring an inspection image, grinding equipment model information, ambient light information and inspection position points, and judging whether the projection image is consistent with a preset projection reference image. If the glass is qualified, the glass is clamped to a preset qualified area, and an early warning is issued if the glass is unqualified, thereby automatically inspecting the ground glass to a consistent standard, reducing the impact of manual inspection, and thereby improving the quality pass rate of the glass products finally produced.

[0092] Reference Figure 1 The embodiment of the present invention discloses a glass single-side processing detection method, which comprises:

[0093] Step S100: After the single-side grinding of the glass is completed, a detection image of the glass surface after grinding is obtained.

[0094] The detection image refers to the image information obtained after image detection of the glass surface after grinding. The detection image is detected and acquired by an image detection device preset on the grinding equipment for grinding the glass. The grinding equipment may be a grinding machine or the like. The image detection device may be a camera.

[0095] Step S200: recognizing the detection image based on the preset projection features to form a projection image.

[0096] Among them, the projection feature refers to the shape and color features corresponding to the projection of the glass, and the projection feature is obtained after pre-input. The projection image refers to the image after the glass included in the projection is framed. By identifying the preset projection features in the detection image, the part of the image in the detection image that matches the projection features is framed and used as the projection image, which is convenient for subsequent use. In this embodiment, the projection features are three concentric circles, and the distance between the two concentric circles inside the outermost concentric circle is small, and the area between the two inner concentric circles is used as the area that needs to be ground and tested.

[0097] Step S300: Determine whether the projected image is consistent with the preset projection reference image. If yes, execute step S400; if no, execute step S500.

[0098] The projection reference image refers to the projection image corresponding to normal glass grinding, and the projection reference image is obtained after pre-input. By judging whether the projection image is consistent with the preset projection reference image, it is judged whether the glass meets the requirements after grinding.

[0099] Step S400: clamping the glass into a preset qualified area.

[0100] The qualified area refers to the area for placing qualified glass. When the projection image is consistent with the preset projection reference image, it means that the glass meets the requirements after grinding, so the glass inspection is completed and the glass is clamped into the preset qualified area. The glass can be clamped by a robot preset on the grinding equipment for grinding the glass.

[0101] Step S500: Analyze the deviation between the projected image and the projection reference image and use it as projection deviation information.

[0102] Among them, the projection deviation information refers to the deviation information corresponding to the deviation between the projection image and the normal image. When the projection image is inconsistent with the preset projection reference image, it means that the glass does not meet the requirements after grinding. Therefore, the deviation between the projection image and the projection reference image is analyzed and used as the projection deviation information for subsequent use.

[0103] Step S600: determining processing abnormality warning information according to the projection deviation information, and outputting the processing abnormality warning information to a terminal held by a management personnel.

[0104] Among them, processing abnormality warning information refers to warning information that warns of abnormalities when the glass is ground. The processing abnormality warning information is obtained by querying from a database that stores a comparison relationship table of different projection deviation information and processing abnormality warning information. The database is obtained after pre-input. The terminal held by the manager refers to a terminal that can receive information for personnel who manage the glass inspection situation. The terminal held by the manager can be a mobile phone or a computer. The processing abnormality warning information is determined by querying the projection deviation information, and the processing abnormality warning information is output to the terminal held by the manager, so that the ground glass is automatically inspected according to consistent standards, and is directly clamped in the qualified area when qualified. If it is unqualified, it will be warned to facilitate the management personnel to understand in time, reduce the impact of manual inspection, and thus improve the quality pass rate of the final glass products.

[0105] exist Figure 1 In step S600, in order to further ensure the rationality of the processing abnormality warning information, it is necessary to further analyze and calculate the processing abnormality warning information separately. Figure 2 The steps shown are explained in detail.

[0106] Reference Figure 2 ,The method for determining the abnormal processing warning information includes the following steps:

[0107] Step S610: Retrieving abnormal brightness values ​​and deviation position points corresponding to the abnormal brightness values ​​based on the projection deviation information.

[0108] Among them, the abnormal brightness value refers to the brightness value corresponding to the brightness in the image that is inconsistent with the surrounding brightness, and the deviation position point refers to the position point in the image where the brightness is inconsistent with the surrounding brightness. The abnormal brightness value and the deviation position point are retrieved through the projection deviation information to facilitate subsequent use.

[0109] Step S620: Identify the projection image based on the preset detection ring feature to form a detection ring image.

[0110] The detection ring feature refers to the annular feature corresponding to the area where glass grinding is required, and the detection ring feature is composed of two concentric circles. The detection ring image refers to the image corresponding to the glass located in the detection ring area. The detection ring feature is identified in the projection image, and the part of the image in the identified projection image that is consistent with the detection ring feature is used as the detection ring image for subsequent use.

[0111] Step S630: Perform position comparison based on the detection ring image and the projection image to determine the detection ring area.

[0112] Among them, the detection ring area refers to the annular position area corresponding to the detection of the area requiring glass grinding. By comparing the positions of the detection ring image and the projection image, the position set of the positions corresponding to the detection ring image in the projection image is used as the detection ring area, which is convenient for subsequent use.

[0113] Step S640: Determine whether the deviation position point is located within the detection ring area. If yes, execute step S650; if no, execute step S660.

[0114] Here, by judging whether the deviation position point is located in the detection ring area, it is judged whether the position where the brightness deviation exists in the image is within the grinding area.

[0115] Step S650: determining grinding abnormality warning information according to the abnormal brightness value and the deviation position point, and using the grinding abnormality warning information as processing abnormality warning information.

[0116] Among them, the grinding abnormality warning information refers to the warning information for warning of abnormalities during glass grinding processing, and the grinding abnormality warning information is obtained by querying from a database storing a comparison relationship table of different abnormal brightness values, deviation position points and grinding abnormality warning information, and the database is obtained after pre-input. When the deviation position point is located within the detection ring area, it means that the position where the brightness deviation exists in the image at this time is within the grinding area, so the grinding abnormality warning information is determined by querying the abnormal brightness value and the deviation position point, and the grinding abnormality warning information is used as the processing abnormality warning information, thereby improving the accuracy of the obtained processing abnormality warning information.

[0117] Step S660: Retrieve the edge position point set based on the projection image.

[0118] Among them, the edge position point set refers to the set of position points corresponding to the edge position of the projected image. When the deviation position point is not located in the detection ring area, it means that the position where the brightness deviation exists in the image is not in the grinding area. Therefore, the position point corresponding to the edge position is retrieved through the projected image, and the position points corresponding to all edge positions are combined as the edge position point set for subsequent use.

[0119] Step S670: determining common abnormality warning information according to the consistency between the deviation position point and the edge position point set, and using the common abnormality warning information as processing abnormality warning information.

[0120] Among them, the general abnormality warning information refers to the warning information that warns of abnormalities in the remaining positions on the glass that are not ground. By analyzing the consistency of the deviation position point and the edge position point set, when they are consistent, the preset placement abnormality warning information is used as the general abnormality warning information. When they are inconsistent, the preset remaining part abnormality warning information is used as the general abnormality warning information, and the general abnormality warning information is used as the processing abnormality warning information, thereby improving the accuracy of the obtained processing abnormality warning information. The placement abnormality warning information refers to the warning information that warns of deviations in the placement position of the glass when the ground glass is detected. The placement abnormality warning information is obtained after pre-input. The remaining part abnormality warning information refers to the warning information that warns of deviations in the position of the area that has not been ground in the ground glass. The remaining part abnormality warning information is obtained after pre-input.

[0121] exist Figure 2 In step S650, in order to further ensure the rationality of the grinding abnormality warning information, it is necessary to further analyze and calculate the grinding abnormality warning information separately. Figure 3 The steps shown are explained in detail.

[0122] Reference Figure 3 , the method for determining the grinding abnormality warning information includes the following steps:

[0123] Step S651: Acquire the grinding equipment model information corresponding to the grinding equipment used to grind the glass.

[0124] The grinding equipment model information refers to the model corresponding to the equipment used to grind the glass. The grinding equipment model information is obtained by pre-input or by querying the grinding equipment.

[0125] Step S652: Retrieve the reference area value of the grinding particles based on the grinding equipment model information.

[0126] Among them, the reference area value of the grinding particles refers to the reference area value corresponding to a single grinding particle when the grinding equipment grinds the glass. The reference area value corresponding to a single grinding particle used in the model is queried through the model information of the grinding equipment and used as the reference area value of the grinding particles for subsequent use.

[0127] Step S653: Retrieve the position deviation area value based on the deviation position point.

[0128] Among them, the position deviation area value refers to the area value corresponding to the brightness anomaly at the deviation position point. The adjacent positions with brightness anomalies are retrieved and combined through the deviation position point, and then the area corresponding to the combined position set is used as the position deviation area value for subsequent use.

[0129] Step S654: Determine whether the position deviation area value is greater than the grinding particle reference area value. If yes, execute step S655; if no, execute step S657.

[0130] By determining whether the position deviation area value is greater than the reference area value of the grinding particles, it is determined whether the brightness abnormality is caused by the grinding particles.

[0131] Step S655: Calculate the quotient between the position deviation area value and the grinding particle reference area value and use it as the area deviation reference value.

[0132] Among them, the area deviation benchmark value refers to the value of the area with deviation relative to the area of ​​a single abrasive particle. When the position deviation area value is greater than the abrasive particle benchmark area value, it means that the brightness abnormality is not caused by the abrasive particles. Therefore, the quotient between the position deviation area value and the abrasive particle benchmark area value is calculated and used as the area deviation benchmark value for subsequent use.

[0133] Step S656: determining the area abnormality warning information according to the area deviation reference number of values ​​and the abnormal brightness value, and using the area abnormality warning information as the grinding abnormality warning information.

[0134] The area abnormality warning information refers to the warning information for warning when there is a large-scale deviation in the abnormal area. The area abnormality warning information is obtained by querying from a database storing a comparison relationship table of different area deviation benchmark values, abnormal brightness values ​​and area abnormality warning information. The database is obtained after pre-input. The area abnormality warning information is determined by querying the area deviation benchmark values ​​and the abnormal brightness values, and the area abnormality warning information is used as the grinding abnormality warning information, thereby improving the accuracy of the obtained grinding abnormality warning information.

[0135] Step S657: According to the correspondence between the deviation area brightness deviation value, the abnormal brightness value and the preset grinding particle abnormal warning information, the grinding particle abnormal warning information corresponding to the deviation area brightness deviation value and the abnormal brightness value is determined, and the grinding particle abnormal warning information is used as the grinding abnormal warning information.

[0136] The abrasive particle abnormality warning information refers to warning information for warning of abnormalities generated by abrasive particles, and the abrasive particle abnormality warning information is obtained by querying from a database storing a comparison relationship table of different deviation area brightness deviation values, abnormal brightness values ​​and abrasive particle abnormality warning information, and the database is obtained after pre-input. The abrasive particle abnormality warning information is determined by querying the deviation area brightness deviation value and the abnormal brightness value, and the abrasive particle abnormality warning information is used as the grinding abnormality warning information, thereby improving the accuracy of the obtained grinding abnormality warning information.

[0137] exist Figure 3 In step S656, in order to further ensure the rationality of the area abnormality warning information, it is necessary to further analyze and calculate the area abnormality warning information separately. Figure 4 The steps shown are explained in detail.

[0138] Reference Figure 4 , the method for determining the area abnormality warning information includes the following steps:

[0139] Step S6561: Retrieve the grinding benchmark value based on the grinding equipment model information.

[0140] Among them, the grinding reference value refers to the maximum value of the grinding particles corresponding to the model of the grinding equipment when grinding in the grinding area. The grinding equipment database is queried through the grinding equipment model information and the grinding reference value is retrieved for subsequent use. The grinding equipment database stores the grinding reference values ​​corresponding to different grinding equipment model information, and the grinding equipment database is obtained after pre-input.

[0141] Step S6562: Determine whether the area deviation reference value is less than the grinding reference value. If yes, execute step S6563; if no, execute step S6565.

[0142] Here, it is determined whether the area deviation reference value is smaller than the grinding reference value, thereby determining whether the abnormal area exceeds the maximum area that can be caused by the grinding particles.

[0143] Step S6563: Determine the abnormal depth value based on the abnormal brightness value.

[0144] The abnormal depth value refers to the depth value corresponding to the deviation position point, and the abnormal depth value is obtained by querying from a database storing a comparison table of different abnormal brightness values ​​and abnormal depth values, and the database is obtained after pre-input. When the area deviation benchmark value is less than the grinding benchmark value, it means that the abnormal area does not exceed the maximum area that can be caused by the grinding particles. Therefore, the abnormal depth value is determined by querying the abnormal brightness value, which is convenient for subsequent use.

[0145] Step S6564: Determine the depth abnormality warning information corresponding to the abnormal depth value and the area deviation benchmark value according to the correspondence between the abnormal depth value, the area deviation benchmark value and the preset depth abnormality warning information, and use the depth abnormality warning information as the area abnormality warning information.

[0146] Among them, the depth abnormality warning information refers to the warning information for warning the abnormal depth caused by multiple grinding particles, and the depth abnormality warning information is obtained by querying from a database storing a comparison relationship table of different abnormal depth values, area deviation benchmark values ​​and depth abnormality warning information, and the database is obtained after pre-input. The depth abnormality warning information is determined by querying the abnormal depth value and the area deviation benchmark value, and the depth abnormality warning information is used as the area abnormality warning information, thereby improving the accuracy of the obtained area abnormality warning information.

[0147] Step S6565: Obtain ambient lighting information.

[0148] The ambient light information refers to the light information generated by the environment in which the glass is ground. The ambient light information is detected and obtained by the light sensor preset on the grinding equipment. When the area deviation benchmark value is not less than the grinding benchmark value, it means that the abnormal area exceeds the maximum area that can be caused by the grinding particles. Therefore, the ambient light information is obtained for subsequent use.

[0149] Step S6566: Determine the environment-affected brightness range based on the ambient lighting information.

[0150] The environment-affected brightness interval refers to the brightness interval corresponding to the brightness when the ambient light affects the brightness. The environment-affected brightness interval is obtained by querying from a database storing a comparison table of different ambient light information and ambient light intervals. The database is obtained after pre-input. The environment-affected brightness interval is determined by querying the ambient light information to facilitate subsequent use.

[0151] Step S6567: Determine the ambient light warning information based on the range between the abnormal brightness value and the ambient impact brightness range, and use the ambient light warning information as the area abnormality warning information.

[0152] Among them, the environmental lighting warning information refers to the warning information for warning the abnormality caused by the environmental lighting. By analyzing the falling situation between the abnormal brightness value and the environmental impact brightness interval, when the abnormal brightness value falls into the environmental impact brightness interval, it means that it is affected by the environmental lighting at this time, so the preset lighting impact benchmark warning information is output and used as the environmental lighting warning information. When the abnormal brightness value does not fall into the environmental impact brightness interval, it means that it is not affected by the environmental lighting at this time, so the preset glass quality impact warning information is output and used as the environmental lighting warning information, and then the environmental lighting warning information is used as the area abnormality warning information, thereby improving the accuracy of the acquired area abnormality warning information. The lighting impact benchmark warning information refers to the warning information for benchmark warning of the impact of lighting, and the lighting impact benchmark warning information is obtained after pre-input. The glass quality impact warning information refers to the warning information for warning of the impact of glass quality, and the glass quality impact warning information is obtained after pre-input.

[0153] exist Figure 4 In step S6563, in order to further ensure the rationality of the abnormal depth value, it is necessary to further analyze and calculate the abnormal depth value separately, specifically by Figure 5 The steps shown are explained in detail.

[0154] Reference Figure 5 , the method for determining the abnormal depth value includes the following steps:

[0155] Step S65631: Based on the preset moving distance value, the preset image detection device is controlled to move to reacquire the detection image as a comparison image.

[0156] The image detection device refers to a device for collecting and acquiring the detection image, and the image detection device can be a camera. The moving distance value refers to the distance value used to control the image detection device to perform a reference movement, and the moving distance value is obtained after pre-input. By controlling the preset image detection device to move the distance corresponding to the preset moving distance value, the detection image is re-acquired and used as a comparison image, which is convenient for subsequent use.

[0157] Step S65632: Redetermine the abnormal brightness value based on the comparison image and use it as the comparison brightness value.

[0158] The abnormal brightness value is re-determined by analyzing and processing the comparison image according to step S100 to step S610, and the re-obtained abnormal brightness value is used as the comparison brightness value for subsequent use.

[0159] Step S65633: Calculate the difference between the abnormal brightness value and the comparison brightness value and use it as the brightness deviation value.

[0160] The brightness deviation value refers to the deviation value when there is a deviation in the abnormal brightness. The difference between the abnormal brightness value and the comparison brightness value is calculated and used as the brightness deviation value for convenience in subsequent use.

[0161] Step S65634: Determine whether the brightness deviation value falls within the preset brightness reference deviation interval. If yes, execute step S65635; if no, execute step S65636.

[0162] The brightness reference deviation interval refers to the reference deviation interval corresponding to the deviation caused by the unevenness of the glass surface, and the brightness reference deviation interval is obtained after pre-input. By judging whether the brightness deviation value falls into the preset brightness reference deviation interval, it is judged whether the abnormal brightness is caused by the deviation caused by the unevenness of the glass surface.

[0163] Step S65635: determining the brightness estimated depth value corresponding to the abnormal brightness value according to the corresponding relationship between the abnormal brightness value and the preset brightness estimated depth value, and using the brightness estimated depth value as the abnormal depth value.

[0164] Among them, the brightness estimated depth value refers to the estimated value of the depth estimated according to the abnormal brightness, and the brightness estimated depth value is obtained by querying from a database storing a comparison relationship table of different abnormal brightness values ​​and brightness estimated depth values, and the database is obtained after pre-input. When the brightness deviation value falls into the preset brightness reference deviation interval, it means that the abnormal brightness at this time is caused by the deviation caused by the unevenness of the glass surface, so the brightness estimated depth value is determined by querying the abnormal brightness value, and the brightness estimated depth value is used as the abnormal depth value, thereby improving the accuracy of the acquired abnormal depth value.

[0165] Step S65636: Control the preset heating device based on the preset heating reference time to heat the glass surface.

[0166] The heating device refers to a device for heating the glass surface, and the heating device can be a hot air blower preset on the grinding device. The heating reference time refers to the reference time for controlling the operation of the heating device, and the heating reference time is obtained after pre-input. When the brightness deviation value does not fall into the preset brightness reference deviation interval, it means that the abnormal brightness at this time is not caused by the deviation caused by the unevenness of the glass surface. Therefore, the glass surface is heated by controlling the heating device to run the heating reference time, so as to facilitate drying of water droplets on the glass surface.

[0167] Step S65637: Jump to execute and obtain the detection image of the glass surface after grinding.

[0168] By jumping to step S100, the glass is re-tested to reduce the impact of water droplets on the glass surface.

[0169] exist Figure 5 After step S65636 shown in the figure, it is convenient to process and inspect the glass. The following steps can also be used. Figure 6 The steps shown are explained in detail.

[0170] Reference Figure 6 The steps after controlling the preset heating device based on the preset heating reference time to heat the glass surface include the following steps:

[0171] Step S710: Control a preset dropping device to drop contrast liquid onto the glass surface, and reacquire a detection image as a drop liquid image.

[0172] The contrast liquid refers to a liquid that is convenient for contrasting and distinguishing the depressions on the glass surface from the surrounding flat areas. The contrast liquid can be a colored liquid such as colored glass water. The dripping device refers to a device such as a test tube preset on the grinding device and used to drip the contrast liquid. The contrast liquid is dripped on the glass surface through the preset dripping device. The dripping device stores a certain amount of contrast liquid pre-placed by the operator. After dripping the contrast liquid on the glass surface, the glass surface is covered with a layer of contrast liquid. At this time, the detection image is re-acquired and used as the drop liquid image for subsequent use.

[0173] Step S720: performing grayscale conversion based on the falling liquid image to form a grayscale image.

[0174] Among them, a grayscale image refers to an image that uses grayscale values ​​to describe each pixel. It is formed by adding the values ​​of the red (R), green (G), and blue (B) channels of each pixel in the falling liquid image, and then taking the average value as the grayscale value of the pixel after conversion, so as to facilitate subsequent use.

[0175] Step S730: Retrieve the grayscale detection value of each position based on the grayscale image.

[0176] Among them, the grayscale detection value refers to the grayscale value of the position corresponding to different pixel points in the grayscale image. The grayscale detection value of the position corresponding to each pixel point is retrieved through the grayscale image to facilitate subsequent use.

[0177] Step S740: Determine whether the grayscale detection values ​​are consistent. If yes, execute step S750; if no, execute step S760.

[0178] Here, by judging whether the grayscale detection values ​​are consistent, it is judged whether there is any grayscale abnormality in the image.

[0179] Step S750: clamping the glass into a preset qualified area.

[0180] Among them, when the grayscale detection values ​​are all consistent, it means that there is no grayscale abnormality in the image at this time, so the glass is clamped to the preset qualified area.

[0181] Step S760: taking the consistent grayscale detection value as the reference grayscale value, taking the inconsistent grayscale detection value as the abnormal grayscale value, and taking the position point corresponding to the abnormal grayscale value as the abnormal grayscale position point.

[0182] Among them, when the grayscale detection values ​​are not uniform, it means that there is grayscale abnormality in the image at this time, so the reference grayscale value, abnormal grayscale value and abnormal grayscale position point are defined for subsequent use.

[0183] Step S770: Calculate the difference between the abnormal grayscale value and the reference grayscale value and use it as the grayscale deviation value.

[0184] The grayscale deviation value refers to the deviation value when there is a deviation in the grayscale value. The difference between the abnormal grayscale value and the reference grayscale value is calculated and used as the grayscale deviation value for convenience in subsequent use.

[0185] Step S780: determining a grayscale depth estimation value corresponding to the grayscale deviation value according to a correspondence between the grayscale deviation value and a preset grayscale depth estimation value.

[0186] The grayscale depth estimation value refers to the estimation value of the depth based on the grayscale deviation, and the grayscale depth estimation value is obtained by querying from a database storing a comparison relationship table of different grayscale deviation values ​​and grayscale depth estimation values, and the database is obtained after pre-input. The grayscale depth estimation value is determined by querying the grayscale deviation value, which is convenient for subsequent use.

[0187] Step S790: Determine the glass abnormality warning information corresponding to the grayscale depth estimation value and the abnormal grayscale position point according to the correspondence between the grayscale depth estimation value, the abnormal grayscale position point and the preset glass abnormality warning information, and output the glass abnormality warning information to the terminal held by the manager.

[0188] Among them, the glass abnormality warning information refers to the warning information for warning of abnormalities in the glass bumps, and the glass abnormality warning information is obtained by querying from a database storing a comparison relationship table of different gray depth estimation values, abnormal gray location points and glass abnormality warning information, and the database is obtained after pre-input. The glass abnormality warning information is determined by querying the gray depth estimation value and the abnormal gray location point, and the glass abnormality warning information is output to the terminal held by the management personnel, so as to timely warn the abnormal glass and facilitate the management personnel to deal with it in time.

[0189] exist Figure 6In step S770, in order to further ensure the rationality of the grayscale deviation value, it is necessary to further analyze and calculate the grayscale deviation value separately, specifically by Figure 7 The steps shown are explained in detail.

[0190] Reference Figure 7 The steps after calculating the difference between the abnormal grayscale value and the reference grayscale value and taking it as the grayscale deviation value include the following steps:

[0191] Step S771: Determine whether the deviation position point is consistent with the abnormal grayscale position point. If yes, execute step S772; if no, execute step S773.

[0192] By judging whether the deviation position point is consistent with the abnormal grayscale position point, it is judged whether there are impurities in the water droplets before drying to affect the glass detection.

[0193] Step S772: Continue to output the grayscale deviation value.

[0194] When the deviation position point is consistent with the abnormal grayscale position point, it means that there are no impurities in the water droplets before drying to affect the glass detection, so the grayscale deviation value continues to be output.

[0195] Step S773: Obtain the detection location point.

[0196] The detection position point refers to the position point where the glass is ground, and the detection position point is detected and acquired by a position sensor preset on the grinding equipment.

[0197] Step S774: query and retrieve surrounding dust type information based on the detection location point.

[0198] Among them, the surrounding dust type information refers to the type information of the dust generated at the detection location point. The dust type database is queried for the detection location point and the surrounding dust type information is retrieved. The dust type database stores the surrounding dust type information corresponding to different detection location points. The dust type database is obtained after pre-input.

[0199] Step S775: determining the dust type grayscale reference influence value corresponding to the surrounding dust type information according to the correspondence between the surrounding dust type information and the preset dust type grayscale reference influence value.

[0200] The dust type grayscale reference impact value refers to the impact degree value corresponding to the dust type's impact on the grayscale, and the dust type grayscale reference impact value is obtained by querying from a database storing a comparison relationship table of different surrounding dust type information and dust type grayscale reference impact values, and the database is obtained after pre-input. The dust type grayscale reference impact value is determined by querying the surrounding dust type information to facilitate subsequent use.

[0201] Step S776: updating the grayscale deviation value based on the grayscale reference influence value of the dust type and outputting the updated grayscale deviation value.

[0202] The accuracy of the obtained grayscale deviation value is improved by calculating the product value between the grayscale reference influence value of the dust type and the grayscale deviation value, updating the grayscale deviation value with the product value, and outputting the updated grayscale deviation value.

[0203] exist Figure 4 In step S6566, in order to further ensure the rationality of the environment-affected brightness interval, it is necessary to further analyze and calculate the environment-affected brightness interval separately, which is described in detail in the following steps. The method for determining the environment-affected brightness interval includes the following steps:

[0204] Step S65661: Obtain glass material information.

[0205] The glass material information refers to the material information of the glass to be ground, and the glass material information is obtained by pre-input.

[0206] Step S65662: Determine the reflective unit value corresponding to the glass material information according to the correspondence between the glass material information and the preset reflective unit value.

[0207] The reflective unit value refers to the unit brightness value corresponding to the reflection generated by the material of the glass, and the reflective unit value is obtained by querying from a database storing a comparison table of different glass material information and reflective unit values, and the database is obtained after pre-input. The reflective unit value is determined by querying the glass material information to facilitate subsequent use.

[0208] Step S65663: Retrieve the ambient light angle value and the ambient light brightness value based on the ambient light information.

[0209] Among them, the ambient lighting information includes the ambient lighting angle value and the ambient lighting brightness value. The ambient lighting angle value refers to the angle value corresponding to when the ambient light is irradiated on the glass, and the ambient light brightness value refers to the brightness value generated by the ambient light. The ambient lighting angle value and the ambient light brightness value are retrieved through the ambient lighting information to facilitate subsequent use.

[0210] Step S65664: Calculate the product of the ambient light illuminance value and the reflective unit value and use it as the reflective reference brightness value.

[0211] Among them, the reflection reference brightness value refers to the reference brightness value corresponding to when the ambient light produces reflection. The product value between the ambient light illuminance value and the reflection unit value is calculated and used as the reflection reference brightness value for subsequent use.

[0212] Step S65665: Calculate the difference between the ambient light angle value and the preset projection angle reference value and use it as the ambient light angle deviation value.

[0213] The projection angle reference value refers to the reference angle value corresponding to the projection of the projection feature by the projector, and the projection angle reference value is obtained after pre-input. The ambient light angle deviation value refers to the angle value when the ambient light irradiates the glass and the projection angle deviate from each other. The difference between the ambient light angle value and the preset projection angle reference value is calculated and used as the ambient light angle deviation value for subsequent use.

[0214] Step S65666: Determine the angle deviation influence value corresponding to the ambient light angle deviation value according to the correspondence between the ambient light angle deviation value and the preset angle deviation influence value.

[0215] The angle deviation impact value refers to the value of the degree of influence on the brightness when the angle is biased. The angle deviation impact value is obtained by querying from a database storing a comparison relationship table of different ambient light angle deviation values ​​and angle deviation impact values. The database is obtained after pre-input. The angle deviation impact value is determined by querying the ambient light angle deviation value to facilitate subsequent use.

[0216] Step S65667: Calculate the product value between the reflection reference brightness value and the angle deviation influence value and use it as the reflection brightness adjustment value.

[0217] The reflection brightness adjustment value refers to the adjustment value after adjusting the brightness generated by the reflection. The product value between the reflection reference brightness value and the angle deviation influence value is calculated and used as the reflection brightness adjustment value for convenience of subsequent use.

[0218] Step S65668: Determine the reflection brightness adjustment interval corresponding to the reflection brightness adjustment value according to the correspondence between the reflection brightness adjustment value and the preset reflection brightness adjustment interval, and use the reflection brightness adjustment interval as the environment impact brightness interval.

[0219] The reflective brightness adjustment interval refers to the reference interval corresponding to the allowable brightness deviation after adjusting the brightness generated by the reflection, and the reflective brightness adjustment interval is obtained by querying from a database storing a comparison relationship table of different reflective brightness adjustment values ​​and reflective brightness adjustment intervals, and the database is obtained after pre-input. The reflective brightness adjustment interval is determined by querying the reflective brightness adjustment value, and the reflective brightness adjustment interval is used as the environmental impact brightness interval, thereby improving the accuracy of the obtained environmental impact brightness interval.

[0220] Based on the same inventive concept, an embodiment of the present invention provides a glass single-side processing detection system, comprising:

[0221] An acquisition module is used to acquire the detection image, grinding equipment model information, ambient light information and detection location points;

[0222] Memory, used to store Figures 1 to 7 A procedure for any one of the glass single-side processing detection methods;

[0223] The processor loads and executes the program in the memory.

[0224] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor, wherein the memory stores a program that can be loaded and executed by the processor. Figures 1 to 7 A computer program for any one of the glass single-sided processing detection methods described.

[0225] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0226] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A method for detecting single-sided processing of glass, characterized in that: include: After the single-side grinding of the glass is completed, a detection image of the glass surface after grinding is obtained; Recognizing the detection image based on the preset projection features to form a projection image; Determine whether the projected image is consistent with a preset projection reference image; If yes, clamp the glass to the preset qualified area; If not, then analyzing the deviation between the projected image and the projection reference image and using it as projection deviation information; Determine the abnormal processing warning information based on the projection deviation information, and output the abnormal processing warning information to the terminal held by the management personnel; Methods for determining abnormal processing warning information include: Retrieving abnormal brightness values ​​and deviation position points corresponding to the abnormal brightness values ​​based on the projection deviation information; Recognizing the projected image based on a preset detection ring feature to form a detection ring image; Performing position comparison based on the detection ring image and the projection image to determine the detection ring area; Determine whether the deviation position point is within the detection ring area; If yes, then the grinding abnormality warning information is determined according to the abnormal brightness value and the deviation position point, and the grinding abnormality warning information is used as the processing abnormality warning information; If not, retrieve the edge position point set based on the projection image; According to the consistency between the deviation position point and the edge position point set, the common abnormal warning information is determined, and the common abnormal warning information is used as the processing abnormal warning information; The method for determining the grinding abnormality warning information includes: Obtaining the grinding equipment model information corresponding to the grinding equipment used to grind the glass; Retrieving the reference area value of the grinding particles based on the model information of the grinding equipment; Retrieve the position deviation area value based on the deviation position point; Determine whether the position deviation area value is greater than the grinding particle reference area value; If yes, then the quotient between the position deviation area value and the grinding particle reference area value is calculated and used as the area deviation reference individual value; Determine the area abnormality warning information according to the area deviation benchmark number value and the abnormal brightness value, and use the area abnormality warning information as the grinding abnormality warning information; If not, the grinding particle abnormality warning information corresponding to the deviation area brightness deviation value and the abnormal brightness value is determined according to the correspondence between the deviation area brightness deviation value, the abnormal brightness value and the preset grinding particle abnormality warning information, and the grinding particle abnormality warning information is used as the grinding abnormality warning information.

2. The glass single-side processing detection method according to claim 1, characterized in that: Methods for determining area abnormality warning information include: Retrieve grinding benchmark values ​​based on grinding equipment model information; Determine whether the area deviation reference value is less than the grinding reference value; If yes, determine the abnormal depth value based on the abnormal brightness value; According to the correspondence between the abnormal depth value, the area deviation benchmark number of values ​​and the preset depth abnormality warning information, the depth abnormality warning information corresponding to the abnormal depth value and the area deviation benchmark number of values ​​is determined, and the depth abnormality warning information is used as the area abnormality warning information; If not, obtain the ambient lighting information; Determine the brightness range affected by the environment based on the ambient lighting information; Based on the fall between the abnormal brightness value and the environmental impact brightness range, the ambient light warning information is determined, and the ambient light warning information is used as the area abnormality warning information.

3. The glass single-side processing detection method according to claim 2, characterized in that: The method for determining the abnormal depth value includes: Based on the preset moving distance value, a preset image detection device is controlled to move to reacquire the detection image as a comparison image; Re-determine the abnormal brightness value based on the comparison image and use it as the comparison brightness value; Calculate the difference between the abnormal brightness value and the comparison brightness value and use it as the brightness deviation value; Determine whether the brightness deviation value falls within a preset brightness reference deviation range; If yes, then determining the brightness estimated depth value corresponding to the abnormal brightness value according to the correspondence between the abnormal brightness value and the preset brightness estimated depth value, and using the brightness estimated depth value as the abnormal depth value; If not, controlling a preset heating device based on a preset heating reference duration to heat the glass surface; Jump to execution to obtain the inspection image of the glass surface after grinding.

4. The glass single-side processing detection method according to claim 3, characterized in that: The method further includes the following steps after controlling a preset heating device based on a preset heating reference time to heat the glass surface: Controlling a preset dropping device to drop contrast liquid onto the glass surface, and reacquiring a detection image as a drop liquid image; Performing grayscale conversion based on the falling liquid image to form a grayscale image; Retrieving the grayscale detection value of each position based on the grayscale image; Determine whether the grayscale detection values ​​are consistent; If yes, clamp the glass to the preset qualified area; If not, the consistent grayscale detection value is used as the reference grayscale value, the inconsistent grayscale detection value is used as the abnormal grayscale value, and the position point corresponding to the abnormal grayscale value is used as the abnormal grayscale position point; Calculate the difference between the abnormal grayscale value and the reference grayscale value and use it as the grayscale deviation value; According to the corresponding relationship between the grayscale deviation value and the preset grayscale depth estimation value, a grayscale depth estimation value corresponding to the grayscale deviation value is determined; According to the correspondence between the grayscale depth estimation value, the abnormal grayscale position point and the preset glass abnormality warning information, the glass abnormality warning information corresponding to the grayscale depth estimation value and the abnormal grayscale position point is determined, and the glass abnormality warning information is output to the terminal held by the management personnel.

5. The glass single-side processing detection method according to claim 4, characterized in that: The method also includes a step after calculating the difference between the abnormal grayscale value and the reference grayscale value and taking it as the grayscale deviation value, which is specifically as follows: Determine whether the deviation position point is consistent with the abnormal grayscale position point; If yes, continue to output the grayscale deviation value; If not, get the detection location point; Query and retrieve surrounding dust type information based on the detection location point; According to the correspondence between the surrounding dust type information and the preset dust type grayscale reference influence value, the dust type grayscale reference influence value corresponding to the surrounding dust type information is determined; The grayscale deviation value is updated based on the grayscale reference influence value of the dust type and the updated grayscale deviation value is output.

6. The glass single-side processing detection method according to claim 2, characterized in that: Methods for determining the environmental impact brightness range include: Get glass material information; According to the correspondence between the glass material information and the preset reflective unit value, the reflective unit value corresponding to the glass material information is determined; Retrieve the ambient light angle value and the ambient light brightness value based on the ambient light information; Calculate the product of the ambient light illuminance value and the reflective unit value and use it as the reflective reference brightness value; Calculate the difference between the ambient light angle value and the preset projection angle reference value and use it as the ambient light angle deviation value; According to the corresponding relationship between the ambient light angle deviation value and the preset angle deviation influence value, the angle deviation influence value corresponding to the ambient light angle deviation value is determined; Calculate the product value between the reflective reference brightness value and the angle deviation influence value and use it as the reflective brightness adjustment value; According to the correspondence between the reflected brightness adjustment value and the preset reflected brightness adjustment interval, the reflected brightness adjustment interval corresponding to the reflected brightness adjustment value is determined, and the reflected brightness adjustment interval is used as the environment-affected brightness interval.

7. A glass single-side processing detection system, characterized in that: include: An acquisition module is used to acquire the detection image, grinding equipment model information, ambient light information and detection location points; A memory for storing a program of the glass single-side processing detection method according to any one of claims 1 to 6; The processor loads and executes the program in the memory.

8. An intelligent terminal, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and executes the glass single-side processing detection method according to any one of claims 1 to 6.

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