Multi-mode visual fusion intelligent detection system for micro-defects of lens
The intelligent detection system for micro-defects in optical lenses, which utilizes multimodal vision fusion and polarizer adjustment and detection models, solves the problem of detection instability caused by changes in illumination during lens inspection, thereby improving detection accuracy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- COLLEGE OF MOBILE TELECOMM CHONGQING UNIV OF POSTS & TELECOMM
- Filing Date
- 2025-11-14
- Publication Date
- 2026-04-17
AI Technical Summary
Existing technologies for detecting lens defects are sensitive to changes in illumination, leading to unstable test results and low accuracy.
A multimodal vision fusion-based intelligent detection system for micro-defects in optical lenses is used. This system acquires the surface reflectivity of the lens, adjusts the polarizer to suppress specular reflection, and combines this with a pre-set defect detection model for detection.
It improves the accuracy of defect detection and reduces the impact of changes in lighting on the detection results.
Smart Images
Figure CN121877342A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of data processing technology, specifically to an intelligent detection system for micro-defects in optical lenses using multimodal visual fusion. Background Technology
[0002] Currently, defect detection for lenses typically relies on hand-crafted features and traditional machine learning algorithms, such as edge detection, threshold segmentation, and template matching. While these methods have achieved some success in simple scenarios, they have significant limitations when facing complex industrial environments: they are sensitive to changes in lighting conditions; even small variations in lighting can lead to unstable detection results, resulting in low accuracy in defect detection. Summary of the Invention
[0003] This application provides a multimodal vision fusion-based intelligent detection system for micro-defects in optical lenses. It can combine a polarizer to suppress specular reflection on the lens under test, thereby obtaining an image that better characterizes the defect, and perform defect detection based on the image, thus improving the accuracy of defect detection.
[0004] A first aspect of this application provides a multimodal visual fusion-based intelligent detection system for micro-defects in optical lenses. The system includes an image acquisition device, a polarizer, and a processing module. The processing module is used to obtain the surface reflectivity of the lens to be tested; The processing module is used to determine the adjustment information of the polarizer based on the reflectivity of the surface; The processing module is used to adjust the polarizer using the adjustment information and then acquire the first image of the lens to be tested through an image acquisition device; The processing module is used to perform defect detection on the lens to be tested based on the first image using a preset defect detection model, and obtain the defect detection result.
[0005] In one possible implementation, determining the polarizer adjustment information based on the surface reflectivity includes: Based on the surface reflectivity and the distance between the lens to be tested and the polarizer, the adjustment angle information of the polarizer is determined; The first voltage value applied to the liquid crystal panel is determined based on the adjustment angle information; Obtain environmental information when performing defect detection on the lens to be inspected; The first voltage value is corrected based on the environmental information to obtain the second voltage value; The adjustment information of the polarizer is determined based on the second voltage value.
[0006] In one possible implementation, determining the first voltage value applied to the liquid crystal panel based on the adjustment angle information includes: Extract the adjustment angle magnitude and adjustment direction from the adjustment angle information; The direction and magnitude of the transmitted light rotation of the polarizer are determined based on the adjustment angle and the adjustment direction. The first voltage value is determined based on the rotation direction and the rotation angle.
[0007] In one possible implementation, determining the polarizer adjustment angle information based on the surface reflectivity and the distance between the lens to be tested and the polarizer includes: Obtain the direction of reflected light from the polarizer at the first shooting angle; The specular reflection suppression information of the polarizer under standard ambient light intensity is determined based on the direction of the reflected light and the surface reflectivity. The mirror reflection suppression offset is determined based on the mirror reflection suppression information and the preset mirror reflection suppression information; The adjustment angle information of the polarizer is determined based on the specular reflection suppression offset.
[0008] In one possible implementation, the step of correcting the first voltage value based on the environmental information to obtain the second voltage value includes: Extract the ambient light intensity value from the environmental information; The current reflection impact information of the lens to be tested is determined based on the ambient light intensity value; Determine voltage correction information based on the current reflection impact information; The first voltage value is corrected based on the voltage correction information to obtain the second voltage value.
[0009] A second aspect of this application provides a multimodal visual fusion-based intelligent detection method for micro-defects in optical lenses. The method is applied to a multimodal visual fusion-based intelligent detection system for micro-defects in optical lenses, and includes: Obtain the surface reflectance of the lens to be tested; The adjustment information of the polarizer is determined based on the reflectivity of the curved surface; After adjusting the polarizer using the aforementioned adjustment information, a first image of the lens to be tested is acquired using an image acquisition device. Based on the first image, a preset defect detection model is used to detect defects in the lens to be tested, and the defect detection results are obtained.
[0010] In one possible implementation, determining the polarizer adjustment information based on the surface reflectivity includes: Based on the surface reflectivity and the distance between the lens to be tested and the polarizer, the adjustment angle information of the polarizer is determined; The first voltage value applied to the liquid crystal panel is determined based on the adjustment angle information; Obtain environmental information when performing defect detection on the lens to be inspected; The first voltage value is corrected based on the environmental information to obtain the second voltage value; The adjustment information of the polarizer is determined based on the second voltage value.
[0011] In one possible implementation, determining the first voltage value applied to the liquid crystal panel based on the adjustment angle information includes: Extract the adjustment angle magnitude and adjustment direction from the adjustment angle information; The direction and magnitude of the transmitted light rotation of the polarizer are determined based on the adjustment angle and the adjustment direction. The first voltage value is determined based on the rotation direction and the rotation angle.
[0012] In one possible implementation, determining the polarizer adjustment angle information based on the surface reflectivity and the distance between the lens to be tested and the polarizer includes: Obtain the direction of reflected light from the polarizer at the first shooting angle; The specular reflection suppression information of the polarizer under standard ambient light intensity is determined based on the direction of the reflected light and the surface reflectivity. The mirror reflection suppression offset is determined based on the mirror reflection suppression information and the preset mirror reflection suppression information; The adjustment angle information of the polarizer is determined based on the specular reflection suppression offset.
[0013] In one possible implementation, the step of correcting the first voltage value based on the environmental information to obtain the second voltage value includes: Extract the ambient light intensity value from the environmental information; The current reflection impact information of the lens to be tested is determined based on the ambient light intensity value; Determine voltage correction information based on the current reflection impact information; The first voltage value is corrected based on the voltage correction information to obtain the second voltage value.
[0014] A third aspect of this application provides a terminal including a processor, an input device, an output device, and a memory, wherein the processor, input device, output device, and memory are interconnected, wherein the memory is used to store a computer program, the computer program including program instructions, and the processor is configured to invoke the program instructions to execute the step instructions as described in the first aspect of this application.
[0015] A fourth aspect of this application provides a computer-readable storage medium storing a computer program for electronic data interchange, wherein the computer program causes a computer to perform some or all of the steps described in the first aspect of this application.
[0016] A fifth aspect of this application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps described in the first aspect of this application. The computer program product may be a software installation package.
[0017] Implementing the embodiments of this application has at least the following beneficial effects: The processing module is used to obtain the surface reflectivity of the lens to be tested; the processing module is used to determine the adjustment information of the polarizer based on the surface reflectivity; the processing module is used to adjust the polarizer using the adjustment information and then acquire a first image of the lens to be tested through an image acquisition device; the processing module is used to perform defect detection on the lens to be tested based on the first image using a preset defect detection model to obtain the defect detection result. Therefore, it is possible to combine the polarizer to suppress the specular reflection of the lens to be tested, so as to obtain an image that can better characterize the defect, and perform defect detection based on the image, thereby improving the accuracy of defect detection. Attached Figure Description
[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0019] Figure 1 This application provides a flowchart illustrating a multimodal vision fusion-based intelligent detection method for micro-defects in optical lenses. Figure 2 This is a schematic diagram of the structure of a terminal provided in an embodiment of this application; Figure 3 This application provides a schematic diagram of a multimodal vision fusion-based intelligent detection system for micro-defects in optical lenses. Detailed Implementation
[0020] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0021] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.
[0022] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application can be combined with other embodiments.
[0023] Please see Figure 1 , Figure 1 This application provides a flowchart illustrating a multimodal visual fusion-based intelligent detection method for micro-defects in optical lenses. Figure 1 As shown, this method is applied to a multimodal vision fusion-based intelligent detection system for micro-defects in optical lenses. The method includes: 101. Obtain the surface reflectance of the lens to be tested.
[0024] In particular, defect detection of the lens under test can be carried out during quality inspection after the lens has been manufactured. Therefore, since the lenses under test are mass-produced, the surface reflectivity of the lens can be obtained from its manufacturing parameters.
[0025] 102. Determine the adjustment information of the polarizer based on the surface reflectivity.
[0026] Specifically, the adjustment angle information of the polarizer can be determined based on the surface reflectivity and the distance between the lens to be tested and the polarizer, and then the adjustment information can be determined by combining the environmental information during defect detection.
[0027] 103. After adjusting the polarizer using the aforementioned adjustment information, the first image of the lens to be tested is acquired using an image acquisition device.
[0028] Image acquisition devices, such as cameras, can be positioned behind a polarizer to capture images. The polarizer filters the light, allowing for the capture of images with low specular reflection, thus improving the effectiveness of subsequent defect detection.
[0029] 104. Based on the first image, a preset defect detection model is used to perform defect detection on the lens to be tested, and the defect detection result is obtained.
[0030] The preset defect detection model can be a pre-trained defect detection model, such as a convolutional neural network model. During training, it is obtained by acquiring images that have been processed by a polarizer, constructing a sample set based on these images, and adjusting the initial model based on the sample set to obtain the defect detection model.
[0031] In this example, the surface reflectance of the lens to be tested is obtained, and the adjustment information of the polarizer is determined based on the surface reflectance. After adjusting the polarizer with the adjustment information, a first image of the lens to be tested is acquired through an image acquisition device. Based on the first image, a preset defect detection model is used to perform defect detection on the lens to be tested, and a defect detection result is obtained. Therefore, it is possible to combine the polarizer to suppress the specular reflection of the lens to be tested, so as to obtain an image that can better characterize the defect, and perform defect detection based on the image, thereby improving the accuracy of defect detection.
[0032] In one possible implementation, determining the polarizer adjustment information based on the surface reflectivity includes: A1. Determine the adjustment angle information of the polarizer based on the surface reflectivity and the distance between the lens to be tested and the polarizer; A2. Determine the first voltage value applied to the liquid crystal panel based on the adjustment angle information; A3. Obtain environmental information when performing defect detection on the lens to be inspected; A4. Correct the first voltage value based on the environmental information to obtain the second voltage value; A5. Determine the polarizer adjustment information based on the second voltage value.
[0033] The adjustment angle information can be obtained by looking up a table based on the surface reflectivity and distance, according to a preset mapping table. Alternatively, the adjustment angle information can be determined using the following methods: B1. Obtain the direction of reflected light from the polarizer at the first shooting angle; B2. Determine the specular reflection suppression information of the polarizer under standard ambient light intensity based on the reflected light direction and the surface reflectivity; B3. Determine the mirror reflection suppression offset based on the mirror reflection suppression information and the preset mirror reflection suppression information; B4. Determine the adjustment angle information of the polarizer based on the specular reflection suppression offset.
[0034] The first shooting angle can be understood as the pre-set shooting angle of the image acquisition device when inspecting the lens. The corresponding specular reflection suppression information can be determined by looking up a table based on the direction of reflected light and the surface reflectivity. After determining the specular reflection suppression offset, the adjustment angle information of the polarizer can be determined based on the pre-set mapping relationship between the specular reflection suppression offset and the adjustment angle information.
[0035] When determining the first voltage value, the specific steps can be as follows: C1. Extract the adjustment angle magnitude and adjustment direction from the adjustment angle information; C2. Determine the direction and magnitude of the transmitted light rotation of the polarizer based on the adjustment angle and the adjustment direction; C3. Determine the first voltage value based on the rotation direction and the rotation angle.
[0036] Since the polarizer can be a liquid crystal tunable polarizer, the polarization direction of the transmitted light can be adjusted by changing its voltage value. Therefore, the rotation direction and magnitude of the transmitted light can be determined based on the adjustment angle information. After determining the rotation direction and magnitude, a first voltage value can be determined by combining the mapping relationship between these values and the voltage value. During adjustment, it can be adjusted until the attenuation of specular reflection reaches a preset threshold. The preset threshold is set through empirical values or historical data, such as 90%.
[0037] In one possible implementation, the step of correcting the first voltage value based on the environmental information to obtain the second voltage value includes: D1. Extract the ambient light intensity value from the environmental information; D2. Determine the current reflection impact information of the lens to be tested based on the ambient light intensity value; D3. Determine voltage correction information based on the current reflection impact information; D4. Correct the first voltage value according to the voltage correction information to obtain the second voltage value.
[0038] The environmental information includes ambient light intensity values, which can be extracted from the environmental information. Different ambient light intensities have varying effects on the current reflection of the lens under inspection; higher ambient light intensity results in stronger specular reflection, which negatively impacts defect detection and leads to poorer detection results. Therefore, the current reflection impact information can be determined based on the ambient light intensity value according to a preset mapping relationship. Different current reflection impact information has corresponding voltage correction information, which can be determined based on this mapping relationship. The product of the voltage correction information and a first voltage value can be used to determine a second voltage value, quickly identifying the second voltage value and meeting the need for rapid defect detection of the lens under inspection, thus improving detection efficiency.
[0039] For examples consistent with the above embodiments, please refer to... Figure 2 , Figure 2 A schematic diagram of a terminal structure provided in an embodiment of this application is shown in the figure. It includes a processor, an input device, an output device, and a memory. The processor, input device, output device, and memory are interconnected. The memory is used to store a computer program, which includes program instructions. The processor is configured to call the program instructions. The program includes instructions for performing the following steps. Obtain the surface reflectance of the lens to be tested; The adjustment information of the polarizer is determined based on the reflectivity of the curved surface; After adjusting the polarizer using the aforementioned adjustment information, a first image of the lens to be tested is acquired using an image acquisition device. Based on the first image, a preset defect detection model is used to detect defects in the lens to be tested, and the defect detection results are obtained.
[0040] In one possible implementation, determining the polarizer adjustment information based on the surface reflectivity includes: Based on the surface reflectivity and the distance between the lens to be tested and the polarizer, the adjustment angle information of the polarizer is determined; The first voltage value applied to the liquid crystal panel is determined based on the adjustment angle information; Obtain environmental information when performing defect detection on the lens to be inspected; The first voltage value is corrected based on the environmental information to obtain the second voltage value; The adjustment information of the polarizer is determined based on the second voltage value.
[0041] In one possible implementation, determining the first voltage value applied to the liquid crystal panel based on the adjustment angle information includes: Extract the adjustment angle magnitude and adjustment direction from the adjustment angle information; The direction and magnitude of the transmitted light rotation of the polarizer are determined based on the adjustment angle and the adjustment direction. The first voltage value is determined based on the rotation direction and the rotation angle.
[0042] In one possible implementation, determining the polarizer adjustment angle information based on the surface reflectivity and the distance between the lens to be tested and the polarizer includes: Obtain the direction of reflected light from the polarizer at the first shooting angle; The specular reflection suppression information of the polarizer under standard ambient light intensity is determined based on the direction of the reflected light and the surface reflectivity. The mirror reflection suppression offset is determined based on the mirror reflection suppression information and the preset mirror reflection suppression information; The adjustment angle information of the polarizer is determined based on the specular reflection suppression offset.
[0043] In one possible implementation, the step of correcting the first voltage value based on the environmental information to obtain the second voltage value includes: Extract the ambient light intensity value from the environmental information; The current reflection impact information of the lens to be tested is determined based on the ambient light intensity value; Determine voltage correction information based on the current reflection impact information; The first voltage value is corrected based on the voltage correction information to obtain the second voltage value.
[0044] The above mainly describes the solutions of the embodiments of this application from the perspective of the method execution process. It is understood that, in order to achieve the above functions, the terminal includes the corresponding hardware structure and / or software modules for executing each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments provided herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0045] This application embodiment can divide the terminal into functional units according to the above method example. For example, each function can be divided into a separate functional unit, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in hardware or as a software functional unit. It should be noted that the unit division in this application embodiment is illustrative and only represents one logical functional division. In actual implementation, there may be other division methods.
[0046] For those consistent with the above, please refer to Figure 3 , Figure 3 This application provides a schematic diagram of the structure of a multimodal vision fusion-based intelligent detection system for micro-defects in optical lenses. For example... Figure 3 As shown, the system includes an image acquisition device 301, a polarizer 302, and a processing module 303, wherein... The processing module 303 is used to obtain the surface reflectivity of the lens to be tested; The processing module 303 is used to determine the adjustment information of the polarizer based on the surface reflectivity; The processing module 303 is used to adjust the polarizer 302 using the adjustment information and then acquire the first image of the lens to be tested through the image acquisition device 301. The processing module 303 is used to perform defect detection on the lens to be tested based on the first image using a preset defect detection model, and obtain the defect detection result.
[0047] In one possible implementation, determining the polarizer adjustment information based on the surface reflectivity includes: Based on the surface reflectivity and the distance between the lens to be tested and the polarizer, the adjustment angle information of the polarizer is determined; The first voltage value applied to the liquid crystal panel is determined based on the adjustment angle information; Obtain environmental information when performing defect detection on the lens to be inspected; The first voltage value is corrected based on the environmental information to obtain the second voltage value; The adjustment information of the polarizer is determined based on the second voltage value.
[0048] In one possible implementation, determining the first voltage value applied to the liquid crystal panel based on the adjustment angle information includes: Extract the adjustment angle magnitude and adjustment direction from the adjustment angle information; The direction and magnitude of the transmitted light rotation of the polarizer are determined based on the adjustment angle and the adjustment direction. The first voltage value is determined based on the rotation direction and the rotation angle.
[0049] In one possible implementation, determining the polarizer adjustment angle information based on the surface reflectivity and the distance between the lens to be tested and the polarizer includes: Obtain the direction of reflected light from the polarizer at the first shooting angle; The specular reflection suppression information of the polarizer under standard ambient light intensity is determined based on the direction of the reflected light and the surface reflectivity. The mirror reflection suppression offset is determined based on the mirror reflection suppression information and the preset mirror reflection suppression information; The adjustment angle information of the polarizer is determined based on the specular reflection suppression offset.
[0050] In one possible implementation, the step of correcting the first voltage value based on the environmental information to obtain the second voltage value includes: Extract the ambient light intensity value from the environmental information; The current reflection impact information of the lens to be tested is determined based on the ambient light intensity value; Determine voltage correction information based on the current reflection impact information; The first voltage value is corrected based on the voltage correction information to obtain the second voltage value.
[0051] This application also provides a computer storage medium storing a computer program for electronic data interchange, which causes a computer to perform some or all of the steps of any of the multimodal visual fusion intelligent detection methods for micro-defects in optical lenses as described in the above method embodiments.
[0052] This application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program that causes a computer to perform some or all of the steps of any of the multimodal vision fusion intelligent detection methods for micro-defects in optical lenses as described in the above method embodiments.
[0053] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.
[0054] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.
[0055] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical or other forms.
[0056] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0057] Furthermore, the functional units in the various embodiments of the application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software program module.
[0058] If the integrated unit is implemented as a software program module and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.
[0059] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage device, which may include: a flash drive, a read-only memory, a random access memory, a magnetic disk, or an optical disk, etc.
[0060] The embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.
Claims
1. A multimodal visual fusion intelligent detection system for micro-defects in optical lenses, characterized in that, The system includes an image acquisition device, a polarizer, and a processing module, wherein, The processing module is used to obtain the surface reflectivity of the lens to be tested; The processing module is used to determine the adjustment information of the polarizer based on the reflectivity of the surface; The processing module is used to adjust the polarizer using the adjustment information and then acquire the first image of the lens to be tested through an image acquisition device; The processing module is used to perform defect detection on the lens to be tested based on the first image using a preset defect detection model, and obtain the defect detection result.
2. The intelligent detection system for micro-defects in optical lenses based on multimodal vision fusion according to claim 1, characterized in that, The step of determining the polarizer adjustment information based on the surface reflectivity includes: Based on the surface reflectivity and the distance between the lens to be tested and the polarizer, the adjustment angle information of the polarizer is determined; The first voltage value applied to the liquid crystal panel is determined based on the adjustment angle information; Obtain environmental information when performing defect detection on the lens to be inspected; The first voltage value is corrected based on the environmental information to obtain the second voltage value; The adjustment information of the polarizer is determined based on the second voltage value.
3. The intelligent detection system for micro-defects in optical lenses based on multimodal vision fusion according to claim 2, characterized in that, Determining the first voltage value applied to the liquid crystal panel based on the adjustment angle information includes: Extract the adjustment angle magnitude and adjustment direction from the adjustment angle information; The direction and magnitude of the transmitted light rotation of the polarizer are determined based on the adjustment angle and the adjustment direction. The first voltage value is determined based on the rotation direction and the rotation angle.
4. The intelligent detection system for micro-defects in optical lenses based on multimodal vision fusion according to claim 2 or 3, characterized in that, The step of determining the adjustment angle information of the polarizer based on the surface reflectivity and the distance between the lens to be tested and the polarizer includes: Obtain the direction of reflected light from the polarizer at the first shooting angle; The specular reflection suppression information of the polarizer under standard ambient light intensity is determined based on the direction of the reflected light and the surface reflectivity. The mirror reflection suppression offset is determined based on the mirror reflection suppression information and the preset mirror reflection suppression information; The adjustment angle information of the polarizer is determined based on the specular reflection suppression offset.
5. The intelligent detection system for micro-defects in optical lenses based on multimodal vision fusion according to claim 4, characterized in that, The step of correcting the first voltage value based on the environmental information to obtain the second voltage value includes: Extract the ambient light intensity value from the environmental information; The current reflection impact information of the lens to be tested is determined based on the ambient light intensity value; Determine voltage correction information based on the current reflection impact information; The first voltage value is corrected based on the voltage correction information to obtain the second voltage value.
6. A multimodal visual fusion-based intelligent detection method for micro-defects in optical lenses, characterized in that, The method is applied to a multimodal vision fusion-based intelligent detection system for micro-defects in optical lenses. The method includes: Obtain the surface reflectance of the lens to be tested; The adjustment information of the polarizer is determined based on the reflectivity of the curved surface; After adjusting the polarizer using the aforementioned adjustment information, a first image of the lens to be tested is acquired using an image acquisition device. Based on the first image, a preset defect detection model is used to detect defects in the lens to be tested, and the defect detection results are obtained.
7. The intelligent detection method for micro-defects in optical lenses based on multimodal visual fusion according to claim 6, characterized in that, The step of determining the polarizer adjustment information based on the surface reflectivity includes: Based on the surface reflectivity and the distance between the lens to be tested and the polarizer, the adjustment angle information of the polarizer is determined; The first voltage value applied to the liquid crystal panel is determined based on the adjustment angle information; Obtain environmental information when performing defect detection on the lens to be inspected; The first voltage value is corrected based on the environmental information to obtain the second voltage value; The adjustment information of the polarizer is determined based on the second voltage value.
8. The intelligent detection method for micro-defects in optical lenses based on multimodal visual fusion according to claim 7, characterized in that, Determining the first voltage value applied to the liquid crystal panel based on the adjustment angle information includes: Extract the adjustment angle magnitude and adjustment direction from the adjustment angle information; The direction and magnitude of the transmitted light rotation of the polarizer are determined based on the adjustment angle and the adjustment direction. The first voltage value is determined based on the rotation direction and the rotation angle.
9. A terminal, characterized in that, The system includes a processor, an input device, an output device, and a memory, which are interconnected. The memory is used to store a computer program, which includes program instructions. The processor is configured to invoke the program instructions to perform the method as described in any one of claims 6-8.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, the computer program including program instructions that, when executed by a processor, cause the processor to perform the method as described in any one of claims 6-8.