Lens detection system controlled by three-axis platform and operation method

Abstract

The invention discloses a lens detection system controlled by a three-axis platform and an operation method, and the lens detection system controls the three-axis platform for bearing a lens through a platform control module, emits detection light to the lens through a laser interferometer, and obtains an interference pattern formed by the lens through shooting of an image capturing module. The image identification module identifies that the interference pattern is a Newton ring, a light spot image, interference fringes or flaws, the optical detection module detects the physical characteristics of the lens according to the interference pattern to generate a detection result, and the control unit of the system can control the three-axis platform to transfer the lens to the next detection position according to the detection result. Therefore, the detection light emitted to the lens by the laser interferometer is converted, a new interference pattern is formed, and a new detection result is generated.

Description

Technical Field

[0001] The present application relates to a lens detection technology, and more particularly to a lens detection system and operation method controlled by a three-axis platform for performing image recognition and detection using interference images generated by the lens. Background Art

[0002] In applications that require the use of high-precision lenses, the quality of the lenses has a significant impact, so lens manufacturers need a system that can detect lens quality to ensure the production of high-precision lenses. Common lens inspection systems use light sources, lens fixtures, instruments that generate inspection patterns, related optical equipment, and imaging equipment. When inspecting lenses, the lens to be tested is carried on a platform, and a light source generates light to shoot at the lens to be tested, and then the inspection image is obtained through optical equipment and imaging equipment. During the process, it is necessary to obtain inspection images at multiple inspection positions, and calculate the curvature distribution of the lens to be tested based on the inspection images.

[0003] However, the method of using the principle of light source reflection and refraction to calculate the curvature distribution of the lens is easily affected by the tolerance value of the mechanism design. For example, the traditional inspection platform uses a stepper motor to drive the light source to rotate, which is not precise enough, and the inspection light is refracted through the lens to be tested to the optical device, and finally the image is formed by the image sensor in the optical device. The whole process is prone to misjudgment due to system tolerance, and the electrical signal of the image sensor is also easily interfered by other motor equipment. Therefore, it is necessary to improve the existing optical inspection system to meet the needs of high-precision inspection of lenses. Summary of the invention

[0004] The present application proposes a three-axis platform-controlled lens inspection system and operation method, in which a deep learning method is combined with a three-axis platform control technology to realize an automatic optical inspection system, providing a lens inspection solution that can effectively reduce various systematic interferences.

[0005] According to an embodiment of the lens inspection system controlled by a three-axis platform, the system includes a control unit, and a plurality of components electrically connected to the control unit and implemented by hardware and software collaboration, including a platform control module for controlling the three-axis platform carrying the lens; a light source, such as a laser interferometer, for emitting inspection light to the lens; an image capture module for capturing an inspection image formed by the inspection light passing through the lens; an image recognition module for identifying the type of the inspection image; and an optical inspection module that can detect the physical properties of the lens based on the inspection image and generate an inspection result. The control unit controls the three-axis platform to move the lens to the next inspection position based on the inspection result of the optical inspection module detecting the lens, so as to convert the inspection image formed by the light source emitting to the lens, and then generate a new inspection result.

[0006] Furthermore, the detection light emitted by the laser interferometer can form an interference pattern through the lens, and the interference pattern can be identified as Newton rings, light spot images, interference fringes or defects by the image recognition module.

[0007] If the optical detection module obtains Newton's rings, it will be able to calculate the number of concentric circles in them and capture the center image of the Newton's rings to obtain the center position of the circle to form the detection result. If interference fringes are obtained, the number and angle of the interference fringes will be identified to form the detection result.

[0008] Furthermore, the image capture module can perform detection and positioning according to the captured image, and feed back to the control unit, so that the control unit controls the platform control module to control the three-axis platform to position according to the information of the detection and positioning.

[0009] According to an embodiment, the lens inspection system controlled by the three-axis platform may further include a deep learning module. The deep learning module learns various types of inspection images through a deep learning method and establishes a detection model for identifying the types of inspection images, so that the image recognition module can use this detection model to identify the types of inspection images.

[0010] According to an embodiment of the operation method of the lens inspection system controlled by a three-axis platform, the method includes first controlling the three-axis platform carrying the lens to position, then controlling the light source to emit inspection light to the lens to capture and obtain an inspection image formed by the inspection light passing through the lens, and after the inspection model identifies the type of the inspection image, the physical properties of the lens can be inspected according to the inspection image to generate an inspection result.

[0011] To further understand the features and technical contents of the present application, please refer to the following detailed description and drawings of the present application. However, the drawings provided are only for reference and illustration and are not intended to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A schematic diagram showing an embodiment of a device in a lens inspection system controlled by a three-axis platform;

[0013] Figure 2 A schematic diagram showing an embodiment of a lens inspection system controlled by a three-axis platform;

[0014] Figure 3 A diagram showing an embodiment of a functional module in a lens detection system;

[0015] Figure 4 A flow chart showing an embodiment of an operation method of a lens inspection system controlled by a three-axis platform;

[0016] Figure 5A Schematic diagram showing Newton ring interference images;

[0017] Figure 5B Display the schematic diagram of light spot interference image;

[0018] Figure 5C Schematic diagram showing interference fringes;

[0019] Figure 5D Schematic diagram showing interference images as defects;

[0020] Figure 6 A flowchart showing an embodiment of processing Newton's rings interference images; and

[0021] Figure 7 A flow chart showing an embodiment of processing interference fringes. DETAILED DESCRIPTION

[0022] The following is an explanation of the implementation methods of the present application through specific specific embodiments. Those skilled in the art can understand the advantages and effects of the present application from the contents disclosed in this specification. The present application can be implemented or applied through other different specific embodiments, and the details in this specification can also be modified and changed in various ways based on different viewpoints and applications without departing from the concept of the present application. In addition, the drawings of the present application are only simple schematic illustrations and are not depicted according to actual sizes. It is stated in advance. The following implementation methods will further explain the relevant technical contents of the present application in detail, but the disclosed contents are not intended to limit the scope of protection of the present application.

[0023] It should be understood that, although the terms "first", "second", "third", etc. may be used herein to describe various components or signals, these components or signals should not be limited by these terms. These terms are mainly used to distinguish one component from another component, or one signal from another signal. In addition, the term "or" used herein may include any one or more combinations of the associated listed items depending on the actual situation.

[0024] This application proposes a lens inspection system and operation method controlled by a three-axis platform, wherein the technical means is to emit inspection light to the mirror surface of the lens through a light source (such as a laser interferometer) to produce an interference image, then the interference image is captured by an image capture module, and then the state of the interference image is identified by an image recognition module to form a test result, thereby judging whether the lens meets the quality specification. Then, the platform control module can be driven to control the three-axis platform according to the test result, and then the interference image is automatically used to form a test result, thereby achieving the purpose of automatic optical inspection.

[0025] Figure 1 A schematic diagram showing an embodiment of equipment in a lens inspection system controlled by a three-axis platform, wherein the system configuration shown is an example and does not limit the actual implementation.

[0026] The system concept in the figure is to propose a three-axis platform 10, on which a test object 100, such as a lens, is placed. The three-axis platform uses driving mechanisms in the X, Y, and Z axes to drive the test object 100 to move to a test position. According to the instructions generated by the control computer 16, the test object 100 can be moved to a specific horizontal position on the XY plane and to a specific vertical position in the Z axis direction. The laser interferometer 14 is controlled to emit laser light to form some optical images through the test object 100, and then the image capture device (such as a camera) 12 is used to capture the test image, thereby testing the optical characteristics of the test object 100.

[0027] Furthermore, when the control computer 16 obtains the detection result, it can continue to control the three-axis platform 10 to drive the object to be detected 100 to the next detection position according to the demand, so that the optical image generated by the laser light emitted by the laser interferometer 14 changes and generates a new detection result.

[0028] The lens inspection system controlled by the three-axis platform realizes various circuits and functional modules through the collaboration of hardware and software. For related implementation methods, please refer to Figure 2 A schematic diagram of an embodiment of a lens inspection system controlled by a three-axis platform is shown.

[0029] The main components of the lens inspection system controlled by the three-axis platform shown include a control unit 201, and a plurality of functional and circuit components electrically connected to the control unit 201, wherein the platform control module 204 is used to control the three-axis platform 20 carrying the object to be inspected 200 (such as a lens). The platform control module 204 is controlled by the control unit 201, and controls the changes of the three-axis platform 20 in three axes (X, Y and Z) according to the instructions of the control unit 201, so that the system can obtain inspection images at various angles.

[0030] The light source used in the lens detection system may be a laser interferometer 202 . The laser interferometer 202 emits detection light to form a detection image through the object to be detected 200 . For example, laser light passing through the lens will form an interference pattern.

[0031] The lens inspection system obtains the inspection image formed by the inspection light passing through the object to be inspected 200 through the image capture module 203, and controls the control unit 201 to store it in the storage unit 205, and then obtains the image data from the storage unit 205 through the image recognition module 206 to identify the type of the inspection image, and then the optical inspection module 207 detects the physical properties of the object to be inspected 200 according to the inspection image, such as the optical properties of the lens, and generates the inspection result. In particular, the lens inspection system controlled by the three-axis platform also includes a deep learning module 208, and the deep learning module 208 is used to train the inspection model. According to the embodiment, the deep learning method is used to learn various types of inspection images, thereby establishing a detection model for identifying the type of the inspection image, so that the image recognition module 206 can use the detection model to identify the type of the inspection image.

[0032] For example, when inspecting lenses, the corresponding inspection model needs to be able to identify various interference patterns formed by the lenses, such as Newton's rings, light spot images, interference fringes or defects formed by the laser interferometer 202 sending laser light through various lenses. Therefore, the deep learning module 208 will learn various interference patterns formed by various lenses through deep learning methods, and the inspection model obtained by training can be used to identify various interference patterns.

[0033] After the detection is completed, the control unit 201 and its related systems will obtain the detection results and store them in the storage unit 205, and perform the next detection. According to the embodiment, the three-axis platform 20 can continue to control the automatic transfer of the object to be detected 200 to the next detection position according to the detection results of the optical detection module 207 detecting the object to be detected 200, so as to convert the detection image formed by the laser interferometer 202 projecting toward the object to be detected 200, and then generate a new detection result.

[0034] In this way, the lens inspection system can completely obtain inspection images from different angles and obtain more complete inspection results. Figure 3 The figure shows an embodiment of the functional modules in the lens detection system.

[0035] Figure 3 The main module operation mode of the lens inspection system 30 is shown, wherein the display platform control module 204 is provided with a signal transceiver unit 307 for receiving the command sent by the control unit, and controlling the three-axis control unit 308 to drive the three-axis platform to move to the inspection position according to the command. When controlling the operation of the three-axis platform, the lens inspection system 30 can also use the information of the image capture module 203 to position the platform, such as first obtaining the inspection image of the object to be inspected by the image capture unit 302 or adding the image information of the entire platform, and then using the inspection positioning unit 301 to perform the inspection and positioning of the three-axis platform according to the control command.

[0036] After the detection and positioning is completed, the laser interferometer is driven to emit detection light to the object to be detected, and the image capturing unit 302 of the image capture module 203 captures and obtains the detection image. At this time, the detection model established by learning various detection image features by the deep learning module 208 can be used to perform detection image recognition; on the other hand, when training the detection model, the image training unit 303 in the deep learning module 208 learns a large number of detection image features generated by using different detection methods or platform settings, such as interference images generated by the laser interferometer emitting laser light through the object to be detected (such as a lens), such as Newton rings, light spots, interference fringes and defects, etc., to train the detection image in the image recognition unit 304, that is, to realize the image recognition function in the lens detection system 30.

[0037] After the detection image is identified by the image recognition unit 304 in the deep learning module 208, it is provided to the optical detection module 207, and the image detection is performed by the image detection unit 305. The detection result is generated by the result display unit 306, which can be output in various forms, including generating a detection result file, and displaying the detection image and the detection result on a display. Other ways to present the detection result include electrical signals, warning lights, computer screens and other interfaces to reply whether the object to be tested is qualified and display its detection result. The detection result is then fed back to the platform control module 204, and according to the control instruction, the three-axis control unit 308 is controlled to drive the three-axis platform to the next detection position, and then a new detection image and detection result are generated.

[0038] use Figure 2 The modules of the system are displayed. Figure 3 Display lens detection system realizes various circuits and functional modules through software and hardware collaboration, such as Figure 4 The illustrated embodiment of the operation method of the lens inspection system controlled by the three-axis platform.

[0039] At the beginning, according to the initial setting, the three-axis platform is controlled by the platform control module to move to the detection position and perform positioning, wherein the platform positioning and the object to be detected can be performed according to the image information (step S401). After the positioning is completed, the light source (such as a laser interferometer) is controlled to emit detection light to the object to be detected (step S403), and the image capture module is used to shoot and obtain the interference image (step S405). After that, the image recognition module can identify the type of the interference image through the detection model (step S407), and the optical detection module is used for detection, and the three-axis platform is continuously controlled to move to different detection positions according to the control instructions (step S409), and a new detection image is generated by converting the detection light (step S411).

[0040] Afterwards, the optical detection module detects the object to be tested according to the detection image (step S413), wherein the physical (optical) properties of the lens are detected according to the detection image, and a detection result is generated (step S415). According to one embodiment, the optical detection project mainly detects the surface curvature of the lens according to the detection image (interference pattern). After the detection result is generated (step S415), if the detection result is normal, the object to be tested is returned as qualified, and if the detection result is abnormal, the object to be tested is returned as unqualified, that is, whether the lens meets the quality specification is determined according to the detection result.

[0041] Furthermore, according to the detection result, the lens detection system can control the three-axis platform to move the lens to the next detection position to convert the detection image formed by the light source irradiating the lens, and then generate a new detection result until sufficient detection images are obtained.

[0042] For reference FIG. 5A to FIG. 5D Shows several interference images obtained by the detection light emitted by the laser interferometer through the lens, including Figure 5A Schematic diagram showing Newton's ring interference image with concentric circles of varying thickness and width; Figure 5B Schematic diagram showing the interference image formed by irregular light spots without texture; Figure 5C The image shows a diagram of multiple interference fringes of varying widths. The interference image can also be a defect, such as Figure 5D Schematic diagram showing an interference image with defects.

[0043] Figure 6 The flowchart of the embodiment of processing Newton ring interference image is shown. The detection process can be a software process running on a control computer or a program in a circuit.

[0044] In this process, the three-axis platform is controlled and the image capture module is driven to obtain the interference image formed by the lens (step S601), and the interference image is identified by the detection model (step S603). At this time, it is determined whether the interference image formed by the lens is a defect or has a defect (step S605). If the interference image is determined to be a defect or includes a defect (yes), it is determined that the lens does not meet the quality specifications (step S607); if the interference image is determined not to be a defect and does not include a defect (no), it continues to step S609. Taking Newton's rings as an example, the program will continue to determine whether it is a Newton's ring (step S609). If not, the relevant control computer or control unit drives the three-axis platform to the next detection position through the platform control module (step S611), and the process returns to step S601 to obtain a useful detection image; if it is determined to be a Newton's ring (yes), a Newton's ring interference image is obtained (step S613), including capturing multiple Newton's ring image features, such as obtaining a concentric ring center image (step S615), obtaining a center position and the number of concentric rings (step S617), and capturing local interference fringes (step S619), etc., to form a detection image for detecting the curvature of the lens (step S621).

[0045] Figure 7 The flowchart of the embodiment of processing interference fringes is shown. Similarly, the detection process can be a software process running on a control computer or a program in a circuit.

[0046] In the process, the three-axis platform is controlled to adjust the detection position to obtain an interference image (step S701), and then the interference image is identified (step S703) to obtain interference fringes as the goal. It is determined whether it is an interference fringes (step S705). If it is not an interference fringes (no), the three-axis platform is controlled to move the object to be tested (lens) to the next detection position (step S707), and then step S701 and other steps are repeated.

[0047] If it is identified as interference fringes (yes), the optical detection module is used to obtain the number and angle of interference fringes (step S709), and a detection image is generated (step S711). Then, the three-axis platform can be controlled to drive the object to be tested to the next detection position (step S707) to obtain more detection images. After that, the number and angle of interference fringes are obtained by the optical detection module to form a detection result.

[0048] exist Figure 6 and Figure 7 In the illustrated embodiment process, the lens inspection system continuously captures inspection images through the image capture module, obtains various interference images, and also performs positioning of the inspection platform and the object to be inspected to obtain the best inspection image. The relevant image information and recognition results will be fed back to the system's control computer or control unit so that the platform control module can control the three-axis platform for positioning according to the inspection positioning information.

[0049] In summary, according to the three-axis platform controlled lens inspection system and operation method described in the above embodiments, a lens inspection system based on deep learning detection image and combined with three-axis platform control is provided, which has the advantage of high detection accuracy. One of the methods is to emit an interference image to the mirror surface of the lens through a laser interferometer, and then use image recognition technology to obtain the type of interference image. According to the detection result, the three-axis platform is controlled to adjust the detection image to achieve the purpose of automatic optical detection.

[0050] The contents disclosed above are only preferred feasible embodiments of the present application, and are not intended to limit the scope of the present patent application. Therefore, all equivalent technical changes made using the description and drawings of the present application are included in the scope of the present patent application.

Claims

1. A lens inspection system controlled by a three-axis platform, characterized in that The system comprises: a control unit; a platform control module, electrically connected to the control unit, for controlling a three-axis platform carrying a lens; a light source, used to emit a detection light to the lens; an image capture module, electrically connected to the control unit, for capturing a detection image formed by the detection light passing through the lens; an image recognition module, electrically connected to the control unit, for recognizing the type of the detection image; and an optical detection module, electrically connected to the control unit, for detecting the physical properties of the lens according to the detection image and generating a detection result; The control unit controls the three-axis platform to move the lens to a next detection position according to the detection result of the lens detected by the optical detection module, so as to convert the detection image formed by the light source irradiating the lens and generate a new detection result.

2. The three-axis platform controlled lens inspection system as claimed in claim 1, characterized in that The light source is a laser interferometer, which is electrically connected to the control unit. The laser interferometer emits the detection light to form an interference pattern through the lens.

3. The three-axis platform controlled lens inspection system as claimed in claim 2, characterized in that The interference pattern is identified as Newton's rings, light spot images, interference fringes or defects by the image recognition module.

4. The three-axis platform controlled lens inspection system as claimed in claim 3, characterized in that The optical detection module obtains the number of concentric circles of the Newton's rings and captures the central image of the Newton's rings to obtain a circle center position to form the detection result.

5. The three-axis platform controlled lens inspection system as claimed in claim 3, characterized in that The optical detection module obtains the number and angle of the interference fringes to form the detection result.

6. The three-axis platform controlled lens inspection system as claimed in claim 1, characterized in that The image capture module performs detection and positioning according to the captured image, and feeds back to the control unit, so that the control unit controls the platform control module to control the three-axis platform to position according to the information of the detection and positioning.

7. The three-axis platform controlled lens inspection system according to any one of claims 1 to 6, characterized in that: It also includes a deep learning module, wherein the deep learning module learns various types of detection images through a deep learning method, establishes a detection model for identifying the type of the detection image, and enables the image recognition module to use the detection model to identify the type of the detection image.

8. A method for operating a lens inspection system controlled by a three-axis platform, characterized in that The method includes: Controlling a three-axis platform carrying a lens to position; Controlling a light source to emit a detection light to the lens; photographing and obtaining a detection image formed by the detection light passing through the lens; Identifying the type of the detection image through a detection model; Detecting the physical properties of the lens according to the detection image to generate a detection result; and According to the detection result, the three-axis platform is controlled to move the lens to a next detection position to convert the detection image formed by the light source irradiating the lens, and then generate a new detection result.

9. The method for operating the lens inspection system controlled by a three-axis platform as claimed in claim 8, characterized in that The light source is a laser interferometer, which emits the detection light, and the detection image formed by the lens is an interference pattern.

10. The operating method of the lens inspection system controlled by a three-axis platform as claimed in claim 9, characterized in that: The detection model is used to identify the interference pattern as Newton's rings, light spot images, interference fringes or defects. If the interference pattern is the Newton's rings, the number of concentric circles of the Newton's rings is obtained, and the center image of the Newton's rings is captured to obtain a center position to form the detection result. If the interference pattern is the interference fringes, the number and angle of the interference fringes are obtained to form the detection result.

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