A method and system for automatically measuring the size of a camera module

Abstract

An automatic method for measuring the size of a camera module includes: taking a picture of the camera module under test to obtain its positioning information; automatically generating a rectangular frame based on the positioning information; dividing the rectangular area into n smaller measurement rectangles of equal size along its width; cutting the n smaller measurement rectangles and obtaining the distance between edge pairs of the camera module based on the image grayscale gradient; sorting the distances between the edge pairs of the camera module and obtaining the maximum distance between the edge pairs; judging the size of the camera module under test based on the maximum distance between the edge pairs; if the size of the camera module meets a preset standard, then the camera module under test meets the factory standard. This invention realizes the digitalization, networking, intelligence, and automation of the production process, which not only significantly improves production efficiency and product quality but also reduces manpower and lowers labor costs.

Description

Technical Field

[0001] This invention relates to the field of camera module size measurement technology, and specifically to an automatic method and system for measuring camera module size. Background Technology

[0002] With the widespread application of camera modules in smartphones, security monitoring, automotive electronics, and other fields, higher demands are being placed on the accuracy and efficiency of camera module size measurement. Traditional manual measurement methods are cumbersome and their accuracy is greatly affected by human factors, making it difficult to meet the high-efficiency and high-precision requirements of modern manufacturing. Therefore, developing a device and method capable of automatically measuring camera module dimensions is particularly important. Summary of the Invention

[0003] In view of the above problems, the present invention is proposed to provide an automatic method and system for measuring the size of a camera module that overcomes or at least partially solves the above problems.

[0004] To address the aforementioned technical problems, the embodiments of this application disclose the following technical solutions:

[0005] In a first aspect, embodiments of the present invention disclose a method for automatically measuring the size of a camera module, comprising:

[0006] S100. Take a picture of the camera module under test to obtain the positioning information of the camera module under test;

[0007] S200. Based on the positioning information of the camera module under test, automatically generate a rectangular frame; divide the rectangular area into n smaller measurement rectangles of the same size along the width direction of the rectangle;

[0008] S300. Cut the n small measurement rectangles of the same size, and obtain the distance between edge pairs of the camera module according to the image grayscale gradient;

[0009] S400. Sort the distances between edge pairs of the camera module and obtain the maximum value of the distance between edge pairs;

[0010] S500. The size of the camera module under test is determined based on the maximum distance between the edge pairs. If the size of the camera module meets the preset standard, then the camera module under test meets the factory standard.

[0011] Furthermore, in S100, the camera module under test is photographed to obtain its positioning information. Specific methods include:

[0012] The captured images are processed by grayscale and binarization, and histogram equalization and contrast stretching are used to enhance the images.

[0013] Feature points are extracted from the preprocessed image, including at least corner points, edges, and textures; feature descriptors are used to describe the feature points, forming feature vectors.

[0014] Based on the extracted feature vectors, the position information of the camera module is calculated using the PnP algorithm or the RANSAC algorithm.

[0015] Furthermore, in S200, the rectangular frame covers the measurement area of ​​the camera module under test.

[0016] Furthermore, in S300, the distance between edge pairs of the camera module is obtained based on the image grayscale gradient. Specific methods include:

[0017] Use a camera to capture images and convert color images to grayscale images;

[0018] Use filters to smooth grayscale images to reduce the impact of noise on edge detection;

[0019] The gradient operator is used to calculate the gray-level gradient of the image, and the gradient operator returns the magnitude and direction of the gradient.

[0020] Based on grayscale gradients, an edge detection algorithm is used to identify edges in an image; the image's pigments generate a binary image, where edge pixels are white and other pixels are black;

[0021] The Hough transform algorithm is used to detect straight line edges and identify edge pairs;

[0022] For detected edge pairs, the distance between edge pairs is calculated by calculating the coordinate difference of the edge pixels.

[0023] Further, in S400, the distances between the edge pairs of the camera module are sorted to obtain the maximum value of the distance between the edge pairs. The specific method includes: obtaining the edges b1, b2 and b(2n-1), b(2n) of the camera module according to the first to nth smallest measurement rectangles, and calculating the distances L1, L2, ..., Ln between the edge pairs b1, b2 and b(2n-1) and b(2n); where L1 is the distance between the edge pair b1 and b2, L2 is the distance between the edge pair b3 and b4, and Ln is the distance between the edge pairs b(2n-1) and b(2n); sorting L1...Ln according to size, and finding the maximum distance D = Max(L1...Ln) in L1...Ln.

[0024] Furthermore, in S500, the size of the camera module under test is determined based on the maximum distance between the edge pairs. If the size of the camera module meets the preset standard, then the camera module under test meets the factory standard. The specific method includes: reading the QR code of the camera module under test, obtaining the size threshold of the camera module under test, comparing the maximum distance between the edge pairs with the size threshold of the camera module under test, and when the maximum distance between the edge pairs is less than the size threshold of the camera module under test, then the current size of the camera module under test meets the factory standard.

[0025] Furthermore, an automatic measurement method for camera module size also includes: S600. Repeating S100-S500 multiple times, when the maximum distance between multiple edge pairs is less than the threshold of the camera module size under test, the current camera module under test is shipped out.

[0026] Secondly, embodiments of the present invention disclose an automatic camera module size measurement system and an automatic camera module size measurement method, comprising: a camera module positioning unit, a measurement rectangle division unit, an edge-to-distance acquisition unit, an edge-to-distance maximum value acquisition unit, and a camera module size judgment unit; wherein:

[0027] The camera module positioning unit is used to take pictures of the camera module under test and obtain the positioning information of the camera module under test.

[0028] The measurement rectangle division unit is used to automatically generate a rectangle based on the positioning information of the camera module under test; and to divide the rectangular area into n smaller measurement rectangles of the same size on an average basis along the width direction of the rectangle.

[0029] The edge pair distance acquisition unit cuts the n small measurement rectangles of the same size and acquires the distance between edge pairs of the camera module based on the image grayscale gradient.

[0030] The edge pair distance maximum value acquisition unit is used to sort the distances between edge pairs of the camera module and obtain the maximum distance between edge pairs;

[0031] The camera module size determination unit is used to determine the size of the camera module under test based on the maximum distance between the edge pairs. If the size of the camera module meets the preset standard, the camera module under test meets the factory standard.

[0032] Thirdly, embodiments of the present invention disclose an electronic device, comprising:

[0033] One or more processors;

[0034] Memory, used to store one or more programs;

[0035] When the one or more programs are executed by the one or more processors, the one or more processors implement the method for measuring the size of the camera module.

[0036] The beneficial effects of the above-described technical solutions provided in the embodiments of the present invention include at least the following:

[0037] This invention discloses an automatic method for measuring the size of a camera module, comprising: taking a picture of the camera module under test to obtain its positioning information; automatically generating a rectangular frame based on the positioning information; dividing the rectangular area into n smaller measuring rectangles of equal size along its width; cutting the n smaller measuring rectangles and obtaining the distance between edge pairs of the camera module based on the image grayscale gradient; sorting the distances between the edge pairs of the camera module and obtaining the maximum value of the distance between the edge pairs; judging the size of the camera module under test based on the maximum value of the distance between the edge pairs; if the size of the camera module meets a preset standard, then the camera module under test meets the factory standard. This invention realizes the digitalization, networking, intelligence, and automation of the production process, which not only significantly improves production efficiency and product quality but also promotes the transformation and upgrading of the manufacturing industry. Simultaneously, it reduces manpower, addresses the labor shortage in society, and lowers labor costs.

[0038] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0039] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0040] Figure 1 This is a flowchart of an automatic method for measuring the size of a camera module in Embodiment 1 of the present invention;

[0041] Figure 2 This is a schematic diagram of a rectangular frame covering the measurement area of ​​the camera module under test in Embodiment 1 of the present invention;

[0042] Figure 3 This is a schematic diagram illustrating the cutting of n small measuring rectangles of the same size in Embodiment 1 of the present invention;

[0043] Figure 4 This is a schematic diagram of the structure of an electronic device in Embodiment 3 of the present invention. Detailed Implementation

[0044] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0045] To address the problems existing in the prior art, embodiments of the present invention provide a method and system for automatically measuring the size of a camera module.

[0046] Example 1

[0047] This invention discloses an automatic method for measuring the size of a camera module, characterized by comprising:

[0048] S100. Take a picture of the camera module under test to obtain the positioning information of the camera module under test; a camera module (Camera Compact Module, abbreviated as CCM) is a modular product that integrates components such as camera, lens, image sensor, and digital signal processor.

[0049] The camera module mainly consists of the following key components:

[0050] Lens: Responsible for capturing the light of the scene being photographed and projecting it onto the image sensor.

[0051] Image sensor: This is the core component of a camera module, responsible for converting received light signals into electrical signals. Currently, the mainstream image sensor technology is CMOS, which has advantages such as low power consumption, high integration, and low cost.

[0052] VCM motor / base: Used to adjust the lens focal length and achieve functions such as autofocus.

[0053] IR filter: Used to filter out infrared light, ensuring that the camera module only receives the visible light portion.

[0054] Circuit board: Responsible for processing the electrical signals output by the image sensor and converting them into digital signals that can be read and stored.

[0055] In S100 of this embodiment, the camera module under test is photographed to obtain its positioning information. The specific method includes:

[0056] The captured images are processed by grayscale and binarization, and histogram equalization and contrast stretching are used to enhance the images.

[0057] Feature points are extracted from the preprocessed image, including at least corner points, edges, and textures; feature descriptors are used to describe the feature points, forming feature vectors.

[0058] Based on the extracted feature vectors, the position information of the camera module is calculated using the PnP algorithm or the RANSAC algorithm.

[0059] S200. Based on the positioning information of the camera module under test, an automatic rectangular frame is generated; the rectangular area is divided into n smaller measurement rectangles of the same size along the width direction; in S200 of this embodiment, as... Figure 2 The rectangular frame covers the measurement area of ​​the camera module under test.

[0060] S300. The n small measurement rectangles of the same size are cut, and the distance between edge pairs of the camera module is obtained according to the image grayscale gradient; specifically, the n small measurement rectangles of the same size are cut, and the cut image is as follows. Figure 3 As shown.

[0061] In S300 of this embodiment, the distance between edge pairs of the camera module is obtained based on the image grayscale gradient. The specific method includes:

[0062] Use a camera to capture images and convert color images to grayscale images;

[0063] Use filters to smooth grayscale images to reduce the impact of noise on edge detection;

[0064] The gradient operator is used to calculate the gray-level gradient of the image, and the gradient operator returns the magnitude and direction of the gradient.

[0065] Based on grayscale gradients, an edge detection algorithm is used to identify edges in an image; the image's pigments generate a binary image, where edge pixels are white and other pixels are black;

[0066] The Hough transform algorithm is used to detect straight line edges and identify edge pairs;

[0067] For detected edge pairs, the distance between edge pairs is calculated by calculating the coordinate difference of the edge pixels.

[0068] S400. Sort the distances between edge pairs of the camera module and obtain the maximum distance between edge pairs; In S400 of this embodiment, sorting the distances between edge pairs of the camera module and obtaining the maximum distance between edge pairs includes the following method: obtaining the edges b1, b2 and b(2n-1), b(2n) of the camera module according to the first to nth smallest measurement rectangles, and calculating the distances L1, L2, ..., Ln between edge pairs b1, b2 and b(2n-1) and b(2n); wherein, the distance between edge pairs b1 and b2 is L1, the distance between edge pairs b3 and b4 is L2, and the distance between edge pairs b(2n-1) and b(2n) is Ln; sort L1...Ln according to size, and find the maximum distance D = Max(L1...Ln) in L1...Ln.

[0069] S500. The size of the camera module under test is determined based on the maximum distance between the edge pairs. If the size of the camera module meets the preset standard, then the camera module under test meets the factory standard.

[0070] In S500 of this embodiment, the size of the camera module under test is determined based on the maximum distance between the edge pairs. If the size of the camera module meets the preset standard, then the camera module under test meets the factory standard. The specific method includes: reading the QR code of the camera module under test, obtaining the size threshold of the camera module under test, comparing the maximum distance between the edge pairs with the size threshold of the camera module under test, and when the maximum distance between the edge pairs is less than the size threshold of the camera module under test, then the current size of the camera module under test meets the factory standard.

[0071] In some preferred embodiments, an automatic measurement method for camera module size further includes: S600. Repeating S100-S500 multiple times, when the maximum distance between multiple edge pairs is less than the threshold of the camera module size under test, the current camera module under test is shipped out.

[0072] This embodiment discloses an automatic method for measuring the size of a camera module, including: taking a picture of the camera module under test to obtain its positioning information; automatically generating a rectangular frame based on the positioning information; dividing the rectangular area into n smaller measurement rectangles of the same size along its width; cutting the n smaller measurement rectangles and obtaining the distance between edge pairs of the camera module based on the image grayscale gradient; sorting the distances between the edge pairs of the camera module and obtaining the maximum value of the distance between the edge pairs; judging the size of the camera module under test based on the maximum value of the distance between the edge pairs; if the size of the camera module meets a preset standard, then the camera module under test meets the factory standard. This invention realizes the digitalization, networking, intelligence, and automation of the production process, which not only significantly improves production efficiency and product quality but also promotes the transformation and upgrading of the manufacturing industry. Simultaneously, it reduces manpower, addresses the labor shortage in society, and lowers labor costs.

[0073] Example 2

[0074] Based on the same inventive concept, this disclosure also provides an automatic camera module size measurement system, including: a camera module positioning unit, a measurement rectangle division unit, an edge-to-distance acquisition unit, an edge-to-distance maximum value acquisition unit, and a camera module size judgment unit; wherein:

[0075] The camera module positioning unit is used to take pictures of the camera module under test and obtain the positioning information of the camera module under test.

[0076] The measurement rectangle division unit is used to automatically generate a rectangle based on the positioning information of the camera module under test; and to divide the rectangular area into n smaller measurement rectangles of the same size on an average basis along the width direction of the rectangle.

[0077] The edge pair distance acquisition unit cuts the n small measurement rectangles of the same size and acquires the distance between edge pairs of the camera module based on the image grayscale gradient.

[0078] The edge pair distance maximum value acquisition unit is used to sort the distances between edge pairs of the camera module and obtain the maximum distance between edge pairs;

[0079] The camera module size determination unit is used to determine the size of the camera module under test based on the maximum distance between the edge pairs. If the size of the camera module meets the preset standard, the camera module under test meets the factory standard.

[0080] The specific working methods of the camera module positioning unit, the measurement rectangle division unit, the edge pair distance acquisition unit, the edge pair distance maximum value acquisition unit, and the camera module size judgment unit have been described in detail in Embodiment 1, and will not be repeated here.

[0081] Example 3

[0082] Based on the same inventive concept, this disclosure also provides an electronic device. Figure 4 This is a schematic diagram of the structure of an electronic device according to an embodiment of this disclosure. Figure 4 As shown, this disclosure provides an electronic device including: one or more processors 101, a memory 102, and one or more I / O interfaces 103. The memory 102 stores one or more programs, which, when executed by the one or more processors, cause the one or more processors to implement any of the optimization methods described in the above embodiments; the one or more I / O interfaces 103 are connected between the processor and the memory, configured to enable information interaction between the processor and the memory.

[0083] The processor 101 is a device with data processing capabilities, including but not limited to a central processing unit (CPU); the memory 102 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), and flash memory (FLASH); the I / O interface (read / write interface) 103 is connected between the processor 101 and the memory 102, and can realize information interaction between the processor 101 and the memory 102, including but not limited to a data bus (Bus).

[0084] In some embodiments, the processor 101, memory 102, and I / O interface 103 are interconnected via bus 104, and thus connected to other components of the computing device.

[0085] In some embodiments, the one or more processors 101 include a field-programmable gate array.

[0086] According to embodiments of this disclosure, a computer-readable medium is also provided. This computer-readable medium stores a computer program, which, when executed by a processor, implements the steps of any of the optimized methods described in the above embodiments.

[0087] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process may be rearranged without departing from the scope of this disclosure. The appended method claims provide elements of various steps in an exemplary order and are not intended to limit the scope to the specific order or hierarchy described.

[0088] In the detailed description above, various features are combined together in a single embodiment to simplify this disclosure. This approach to disclosure should not be construed as reflecting an intention that embodiments of the claimed subject matter require more features than are explicitly stated in each claim. Rather, as reflected in the appended claims, the invention is presented with fewer features than all of the features in a single disclosed embodiment. Therefore, the appended claims are hereby explicitly incorporated into the detailed description, with each claim representing a separate preferred embodiment of the invention.

[0089] Those skilled in the art will also understand that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments herein can be implemented as electronic hardware, computer software, or a combination thereof. To clearly illustrate the interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps described above are generally described in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. Those skilled in the art can implement the described functionality in alternative ways for each specific application; however, such implementation decisions should not be construed as departing from the scope of this disclosure.

[0090] The steps of the methods or algorithms described in conjunction with the embodiments herein can be directly embodied in hardware, software modules executed by a processor, or a combination thereof. The software modules can reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. The ASIC can reside in a user terminal. Alternatively, the processor and storage medium can exist as discrete components in the user terminal.

[0091] For software implementation, the techniques described in this application can be implemented using modules (e.g., procedures, functions, etc.) that perform the functions described in this application. This software code can be stored in memory units and executed by a processor. The memory units can be implemented within the processor or outside the processor; in the latter case, they are communicatively coupled to the processor via various means, as is well known in the art.

[0092] The foregoing description includes examples of one or more embodiments. It is certainly impossible to describe all possible combinations of components or methods in order to describe the above embodiments, but those skilled in the art will recognize that further combinations and arrangements of the various embodiments are possible. Therefore, the embodiments described herein are intended to cover all such changes, modifications, and variations that fall within the scope of the appended claims. Furthermore, the term "comprising" as used in the specification or claims is interpreted in a manner similar to the term "including," as interpreted when used as a conjunction in the claims. Additionally, the use of any term "or" in the specification of the claims is intended to mean "non-exclusive or."

Claims

1. A method for automatically measuring the size of a camera module, characterized in that, include: S100. Take a picture of the camera module under test to obtain the positioning information of the camera module under test; S200. Based on the positioning information of the camera module under test, automatically generate a rectangular frame; divide the rectangular area into n smaller measurement rectangles of the same size along the width direction of the rectangle; S300. Cut the n small measurement rectangles of the same size, and obtain the distance between edge pairs of the camera module according to the image grayscale gradient; S400. Sort the distances between edge pairs of the camera module and obtain the maximum value of the distance between edge pairs; S500. The size of the camera module under test is determined based on the maximum distance between the edge pairs. If the size of the camera module meets the preset standard, then the camera module under test meets the factory standard.

2. The method for automatically measuring the size of a camera module as described in claim 1, characterized in that, In S100, the camera module under test is photographed to obtain its positioning information. Specific methods include: The captured images are processed by grayscale and binarization, and histogram equalization and contrast stretching are used to enhance the images. Feature points are extracted from the preprocessed image, including at least corner points, edges, and textures; feature descriptors are used to describe the feature points to form feature vectors; Based on the extracted feature vectors, the position information of the camera module is calculated using the PnP algorithm or the RANSAC algorithm.

3. The method for automatically measuring the size of a camera module as described in claim 1, characterized in that, In S200, the rectangular frame covers the measurement area of ​​the camera module under test.

4. The method for automatically measuring the size of a camera module as described in claim 1, characterized in that, In S300, the distance between edge pairs of the camera module is obtained based on the image grayscale gradient. Specific methods include: Use a camera to capture images and convert color images to grayscale images; Use filters to smooth grayscale images to reduce the impact of noise on edge detection; The gradient operator is used to calculate the gray-level gradient of the image, and the gradient operator returns the magnitude and direction of the gradient. Based on grayscale gradients, an edge detection algorithm is used to identify edges in an image; the image's pigments generate a binary image, where edge pixels are white and other pixels are black; The Hough transform algorithm is used to detect straight line edges and identify edge pairs; For detected edge pairs, the distance between edge pairs is calculated by calculating the coordinate difference of the edge pixels.

5. The method for automatically measuring the size of a camera module as described in claim 1, characterized in that, In S400, the distances between the edge pairs of the camera module are sorted to obtain the maximum value of the distance between the edge pairs. The specific method includes: obtaining the edges b1, b2 and b(2n-1), b(2n) of the camera module according to the first to nth smallest measurement rectangles, and calculating the distances L1, L2, ..., Ln between the edge pairs b1, b2 and b(2n-1) and b(2n); where L1 is the distance between the edge pair b1 and b2, L2 is the distance between the edge pair b3 and b4, and Ln is the distance between the edge pairs b(2n-1) and b(2n); sorting L1...Ln according to size, and finding the maximum distance D = Max(L1...Ln) in L1...Ln.

6. The method for automatically measuring the size of a camera module as described in claim 1, characterized in that, In S500, the size of the camera module under test is determined based on the maximum distance between the edge pairs. If the size of the camera module meets the preset standard, then the camera module under test meets the factory standard. The specific method includes: reading the QR code of the camera module under test, obtaining the size threshold of the camera module under test, comparing the maximum distance between the edge pairs with the size threshold of the camera module under test, and when the maximum distance between the edge pairs is less than the size threshold of the camera module under test, then the current size of the camera module under test meets the factory standard.

7. The method for automatically measuring the size of a camera module as described in claim 1, characterized in that, It also includes: S600. Repeat S100-S500 multiple times. When the maximum distance between multiple edge pairs is less than the size threshold of the camera module under test, the current camera module under test will be shipped out of the factory.

8. An automatic camera module size measurement system, employing the automatic camera module size measurement method as described in any one of claims 1-7, characterized in that, include: The system comprises a camera module positioning unit, a measurement rectangle division unit, an edge pair distance acquisition unit, an edge pair distance maximum value acquisition unit, and a camera module size determination unit; wherein: The camera module positioning unit is used to take pictures of the camera module under test and obtain the positioning information of the camera module under test. The measurement rectangle division unit is used to automatically generate a rectangle based on the positioning information of the camera module under test; and to divide the rectangular area into n smaller measurement rectangles of the same size on an average basis along the width direction of the rectangle. The edge pair distance acquisition unit cuts the n small measurement rectangles of the same size and acquires the distance between edge pairs of the camera module based on the image grayscale gradient. The edge pair distance maximum value acquisition unit is used to sort the distances between edge pairs of the camera module and obtain the maximum distance between edge pairs; The camera module size determination unit is used to determine the size of the camera module under test based on the maximum distance between the edge pairs. If the size of the camera module meets the preset standard, the camera module under test meets the factory standard.

9. An electronic device, characterized in that, include: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement any of the methods for measuring the size of a camera module as described in claims 1-7.

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