Image detection system and image detection method
By setting up a dual-camera system with different depth-of-field directions on both sides of the electrode and adjusting the camera position using an adjustment mechanism and controller, the problem of imaging burrs at the electrode edge is solved, improving the safety and production efficiency of lithium batteries.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- YISHI INTELLIGENT TECH (SHANGHAI) CO LTD
- Filing Date
- 2025-12-22
- Publication Date
- 2026-04-21
AI Technical Summary
The edge burrs generated during the electrode cutting process are difficult to image clearly during movement, leading to safety and lifespan issues in lithium batteries. Existing machine vision solutions struggle to achieve rapid dynamic focusing.
A dual-camera system is employed, with the cameras positioned vertically to the electrode plates, each with a different depth of field. The adjustment mechanism and controller adjust the camera position based on image data to adapt to camera shake and achieve clear imaging.
This technology enables efficient and clear detection of burrs on electrode edges, improving the safety and production yield of lithium batteries and reducing economic losses.
Smart Images
Figure CN121899147A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of image detection, and more specifically, to an image detection system and an image detection method. Background Technology
[0002] Electrode slitting processes are prone to producing edge burrs, which pose a significant threat to lithium batteries. Larger burrs can pierce the separator, causing short circuits between the positive and negative electrodes, directly impacting battery safety, chemical performance, and lifespan. To improve product yield, reduce economic losses, and enhance lithium battery safety, it is essential to detect electrode edge burr defects and make timely adjustments. The mainstream online burr detection method is machine vision-based defect detection technology, which offers advantages such as non-contact operation and immunity to external and subjective factors.
[0003] However, due to the jitter deviation that occurs during the movement of the electrode, and the microscopic imaging of electrode burrs, clear imaging and rapid dynamic focusing are required simultaneously, which poses a greater challenge and implementation difficulty to traditional machine vision solutions. Summary of the Invention
[0004] The summary section of this application is intended to provide a brief overview of the concepts, which will be described in detail in the detailed description section below. This summary section is not intended to identify key or essential features of the claimed technical solutions, nor is it intended to limit the scope of the claimed technical solutions.
[0005] Some embodiments of this application propose an image detection system and an image detection method to solve the technical problems mentioned in the background section above.
[0006] As a first aspect of this application, some embodiments of this application provide an image detection system for detecting edge burrs on an object to be detected; the image detection system includes: The first camera has the first depth of field direction; The second camera has a second depth-of-field direction; The first camera is disposed on a first side of the object to be detected; the second camera is disposed on a second side of the object to be detected; the first side and the second side are disposed opposite each other in the direction perpendicular to the direction of movement of the object to be detected.
[0007] Optionally, in some embodiments of this application, the image detection system further includes: The first adjustment mechanism is configured to adjust the position of the first camera; The second adjustment mechanism is configured to adjust the position of the second camera; The controller is configured to control the first adjustment mechanism and / or the second adjustment mechanism based on image data acquired by the first camera and / or the second camera.
[0008] Optionally, in some embodiments of this application, the first depth direction is parallel to the direction of movement of the object to be detected.
[0009] Optionally, in some embodiments of this application, the second depth of field direction is perpendicular to the movement direction of the object to be detected.
[0010] Optionally, in some embodiments of this application, the controller includes: The judgment unit is configured to determine the shaking direction of the object to be detected based on the image data acquired by the first camera and / or the second camera; The adjustment unit is configured to control the first adjustment mechanism and / or the second adjustment mechanism according to the shaking direction of the object to be detected in order to adjust the position of the first camera and / or the second camera.
[0011] As a second aspect of this application, some embodiments of this application provide an image detection method implemented by an image detection device, the image detection system comprising: The first camera has the first depth of field direction; The second camera has a second depth-of-field direction; The first camera is disposed on a first side of the object to be detected; the second camera is disposed on a second side of the object to be detected; the first side and the second side are disposed opposite each other in the direction perpendicular to the direction of movement of the object to be detected. The image detection method includes: Image data are collected from the first camera and the second camera respectively; The edge burrs of the object to be detected are detected based on the image data collected from the first camera and the second camera.
[0012] Optionally, in some embodiments of this application, the image detection system further includes: The first adjustment mechanism is configured to adjust the position of the first camera; The second adjustment mechanism is configured to adjust the position of the second camera; The controller is configured to control the first adjustment mechanism and / or the second adjustment mechanism based on image data acquired by the first camera and / or the second camera; The image detection method further includes: The first adjustment mechanism and / or the second adjustment mechanism are controlled based on the image data acquired by the first camera and / or the second camera.
[0013] Optionally, in some embodiments of this application, the first depth direction is parallel to the direction of movement of the object to be detected.
[0014] Optionally, in some embodiments of this application, the second depth of field direction is perpendicular to the movement direction of the object to be detected.
[0015] Optionally, in some embodiments of this application, the controller includes: The judgment unit is configured to determine the shaking direction of the object to be detected based on the image data acquired by the first camera and / or the second camera; The adjustment unit is configured to control the first adjustment mechanism and / or the second adjustment mechanism according to the shaking direction of the object to be detected in order to adjust the position of the first camera and / or the second camera.
[0016] As a third aspect of this application, some embodiments of this application provide an electronic device, including: one or more processors; and a storage device having one or more programs stored thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation of the first aspect above.
[0017] As a fourth aspect of this application, some embodiments of this application provide a computer-readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any implementation of the first aspect above.
[0018] The beneficial effect of this application is that it provides an image detection system and image detection method suitable for detecting edge burrs on electrode plates. Attached Figure Description
[0019] The accompanying drawings, which form part of this application, are used to provide a further understanding of the application and to make other features, objects, and advantages of the application more apparent. The illustrative embodiments and descriptions of this application are used to explain the application and do not constitute an undue limitation of the application.
[0020] Furthermore, throughout the accompanying drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and the elements are not necessarily drawn to scale.
[0021] In the attached diagram: Figure 1 This is a schematic diagram of the architecture of an image detection system according to an embodiment of this application; Figure 2 This is a schematic diagram of the positional relationship of an image detection system according to an embodiment of this application; Figure 3This is a schematic diagram of the architecture of a controller in an image detection system according to an embodiment of this application; Figure 4 This is a schematic diagram of an image acquired by an image detection system according to an embodiment of this application; Figure 5 This is a schematic diagram of another image acquired by an image detection system according to an embodiment of this application; Figure 6 This is a schematic diagram illustrating the steps of an image detection method according to an embodiment of this application; Figure 7 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation
[0022] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.
[0023] It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings. Unless otherwise specified, the embodiments and features described in this disclosure can be combined with each other.
[0024] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.
[0025] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".
[0026] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
[0027] This disclosure will now be described in detail with reference to the accompanying drawings and embodiments.
[0028] Reference Figures 1 to 5 As shown, as a first aspect, the image detection system of this application is used to detect edge burrs on an object to be detected; the image detection system includes: a first camera and a second camera.
[0029] The first camera has a first depth of field direction; the second camera has a second depth of field direction; the first camera is disposed on a first side of the object to be detected; the second camera is disposed on a second side of the object to be detected; the first side and the second side are disposed opposite each other in the direction perpendicular to the direction of movement of the object to be detected.
[0030] In some embodiments of this application, the image detection system further includes: a first adjustment mechanism and a second adjustment mechanism.
[0031] The first adjustment mechanism is configured to adjust the position of the first camera; the second adjustment mechanism is configured to adjust the position of the second camera; the controller is configured to control the first adjustment mechanism and / or the second adjustment mechanism based on the image data acquired by the first camera and / or the second camera.
[0032] The first and second adjustment mechanisms can be selected from the use of a lead screw and nut combined with a rotary motor or an actuator such as a linear motor. The specific implementation scheme is a technical solution well known to those skilled in the art and will not be elaborated here.
[0033] In some embodiments of this application, the first depth direction is parallel to the direction of movement of the object to be detected.
[0034] In some embodiments of this application, the second depth of field direction is perpendicular to the direction of movement of the object to be detected.
[0035] The first and second depth-of-field directions refer to the directions with the greatest depth of field. (Refer to...) Figure 4 and Figure 5 As shown, for different orientations and different depths of field, it is easier to obtain clear images.
[0036] In some embodiments of this application, the controller includes a judgment unit and an adjustment unit.
[0037] The judgment unit is configured to determine the shaking direction of the object to be detected based on the image data acquired by the first camera and / or the second camera; the adjustment unit is configured to control the first adjustment mechanism and / or the second adjustment mechanism to adjust the position of the first camera and / or the second camera based on the shaking direction of the object to be detected.
[0038] As a second aspect, the image detection method of this application includes: Image data are collected from the first camera and the second camera respectively; The edge burrs of the object to be detected are detected based on the image data collected from the first camera and the second camera; The first adjustment mechanism and / or the second adjustment mechanism are controlled based on the image data acquired by the first camera and / or the second camera.
[0039] Reference Figure 2 As shown in the illustration, as a specific example, burrs are categorized into horizontal and vertical burrs based on their direction at the edge. Camera A has a larger depth of field in the vertical direction, while camera B has a larger depth of field in the horizontal direction. Both vertical and horizontal camera shake can produce clear images. Camera A can detect vertical shake, and thus, through a vertical adjustment mechanism, the clear imaging zone of camera B is adjusted to the vertical position to ensure clear imaging of horizontal burrs. Conversely, camera B can detect horizontal shake, and thus, through a horizontal adjustment mechanism, the clear imaging zone of camera A is adjusted to the horizontal position to ensure clear imaging of horizontal burrs. This coupling achieves dynamic tracking and clear imaging of both horizontal and vertical burrs.
[0040] As for the specific execution process, refer to Figure 6 As shown, cameras A and B acquire electrode images at positions where they are in sharp focus. Image processing algorithms then calculate the electrode position and detect the location and size of burrs. Burr detection utilizes speckle analysis to analyze speckle characteristics, while electrode position detection uses edge detection to pinpoint the electrode's location within each camera. Since camera B's image sharpness is less affected by lateral shake, and camera A's image sharpness is less affected by longitudinal shake, the position of camera A is adjusted by feedback from the electrode position in camera B, and vice versa.
[0041] like Figure 7 As shown, the electronic device 800 may include a processing unit (e.g., a central processing unit, a graphics processor, etc.) 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage device 808 into a random access memory (RAM) 803. The RAM 803 also stores various programs and data required for the operation of the electronic device 800. The processing unit 801, ROM 802, and RAM 803 are interconnected via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.
[0042] Typically, the following devices can be connected to I / O interface 805: input devices 806 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 807 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 808 including, for example, magnetic tapes, hard disks, etc.; and communication devices 809. Communication device 809 allows electronic device 800 to communicate wirelessly or wiredly with other devices to exchange data. Although... Figure 7 An electronic device 800 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively. Figure 7 Each box shown can represent a device or multiple devices as needed.
[0043] In particular, according to some embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, some embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 809, or installed from a storage device 808, or installed from a ROM 802. When the computer program is executed by the processing device 801, it performs the functions defined in the methods of some embodiments of this disclosure.
[0044] It should be noted that, in some embodiments of this disclosure, the computer-readable medium described above may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.
[0045] In some embodiments of this disclosure, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In some embodiments of this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.
[0046] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol, such as HTTP (Hypertext Transfer Protocol), and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future-developed networks.
[0047] Computer program code for performing operations of some embodiments of this disclosure can be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, and C++, as well as conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0048] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function.
[0049] It should also be noted that in some alternative implementations, the functions marked in the box may occur in a different order than those marked in the attached figures.
[0050] For example, two consecutively represented blocks can actually be executed in substantially parallel order, and sometimes they can be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, as well as combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified functions or operations, or using a combination of dedicated hardware and computer instructions.
[0051] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.
[0052] The above description is merely a selection of preferred embodiments of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the embodiments of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in the embodiments of this disclosure.
Claims
1. An image detection system for detecting edge burrs on an object to be detected; characterized in that: The image detection system includes: The first camera has the first depth of field direction; The second camera has a second depth-of-field direction; The first camera is disposed on a first side of the object to be detected; the second camera is disposed on a second side of the object to be detected; the first side and the second side are disposed opposite each other in the direction perpendicular to the direction of movement of the object to be detected.
2. The image detection system according to claim 1, characterized in that: The image detection system also includes: The first adjustment mechanism is configured to adjust the position of the first camera; The second adjustment mechanism is configured to adjust the position of the second camera; The controller is configured to control the first adjustment mechanism and / or the second adjustment mechanism based on image data acquired by the first camera and / or the second camera.
3. The image detection system according to claim 2, characterized in that, The first depth of field direction is parallel to the direction of movement of the object to be detected.
4. The image detection system according to claim 3, characterized in that, The second depth of field direction is perpendicular to the direction of movement of the object to be detected.
5. The image detection system according to any one of claims 1 to 4, characterized in that, The controller includes: The judgment unit is configured to determine the shaking direction of the object to be detected based on the image data acquired by the first camera and / or the second camera; The adjustment unit is configured to control the first adjustment mechanism and / or the second adjustment mechanism according to the shaking direction of the object to be detected in order to adjust the position of the first camera and / or the second camera.
6. An image detection method, implemented by an image detection device, characterized in that: The image detection system includes: The first camera has the first depth of field direction; The second camera has a second depth-of-field direction; The first camera is disposed on a first side of the object to be detected; the second camera is disposed on a second side of the object to be detected; the first side and the second side are disposed opposite each other in the direction perpendicular to the direction of movement of the object to be detected. The image detection method includes: Image data are collected from the first camera and the second camera respectively; The edge burrs of the object to be detected are detected based on the image data collected from the first camera and the second camera.
7. The image detection method according to claim 6, characterized in that, The image detection system also includes: The first adjustment mechanism is configured to adjust the position of the first camera; The second adjustment mechanism is configured to adjust the position of the second camera; The controller is configured to control the first adjustment mechanism and / or the second adjustment mechanism based on image data acquired by the first camera and / or the second camera; The image detection method further includes: The first adjustment mechanism and / or the second adjustment mechanism are controlled based on the image data acquired by the first camera and / or the second camera.
8. The image detection method according to claim 7, characterized in that, The first depth of field direction is parallel to the direction of movement of the object to be detected.
9. The image detection method according to claim 8, characterized in that, The second depth of field direction is perpendicular to the direction of movement of the object to be detected.
10. The image detection method according to claim 9, characterized in that, The controller includes: The judgment unit is configured to determine the shaking direction of the object to be detected based on the image data acquired by the first camera and / or the second camera; The adjustment unit is configured to control the first adjustment mechanism and / or the second adjustment mechanism according to the shaking direction of the object to be detected in order to adjust the position of the first camera and / or the second camera.