Identification component suitable for AI visual identification

Abstract

The utility model discloses an identification component suitable for AI visual identification, and the identification component comprises a body which is of a plate-shaped structure and is used for being configured on target equipment; the recognition area is located on the body; an identification mark is arranged in the identification area and is used for representing the model type of the target equipment; wherein a marking assembly is arranged at the edge position of the identification area, and is used for identifying the marking assembly through functional equipment with AI vision to determine the range of the identification area, so that the identification mark can be locked; the technical problem that the model category is easy to be interfered by irrelevant identifiers when being recognized through an AI visual function is solved, and the recognition accuracy and reliability are improved. And through the marking assembly, the recognition process of the functional equipment with the AI vision is simplified, the recognition speed of the types and types of the pipe piles is increased, the overall working efficiency is improved, even in a complex environment, the marking assembly can ensure that the functional equipment with the AI vision accurately recognizes the types and types of the pipe piles, and the device is suitable for various different scenes.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of marking components, and in particular to a marking component suitable for AI visual identification. BACKGROUND

[0002] In modern industrial production and construction, the diversification of products and special equipment has become a significant feature of industry development. They are designed and manufactured according to different purposes and adaptation scenarios, showing a rich variety of models and categories. Taking "pipe piles" as an example, as an important infrastructure material, pipe piles are widely used in the foundation reinforcement of bridges, high-rise buildings and other structures. Pipe piles can be divided into prestressed concrete pipe piles, steel pipe piles, etc. according to the material, and into various types such as centrifugal molding and vibration molding according to the production process, each type is optimized for specific geological conditions and construction requirements. These diversified choices provide engineers with a wide range of solutions, but at the same time, they also bring complexity to management and use.

[0003] In recent years, with the development of artificial intelligence technology, the method of using AI visual function to identify marks to distinguish pipe pile models and categories has gradually become a new trend in the industry. This method not only improves the speed and accuracy of identification, but also greatly reduces the human resources required in the traditional manual identification process, reducing labor costs. By training AI models to learn specific marks on different model pipe piles, such as QR codes, barcodes or unique pattern marks, the AI system can complete the automatic identification of pipe pile models in a very short time, which is of great significance to improve the work efficiency and safety of the construction site.

[0004] However, although AI visual identification technology has outstanding performance in improving work efficiency, it also faces a series of challenges in actual application. Especially in the process of identifying marks, there are often various irrelevant marks on the pipe pile, which may interfere with the judgment of the AI visual system, leading to incorrect identification results. In addition, due to the variability in the production process and the influence of the use environment, the marks on the surface of the pipe pile may be worn, stained, etc., further increasing the difficulty of correct identification by the AI system. Therefore, how to effectively exclude the interference of these irrelevant marks and improve the accuracy and reliability of AI visual identification has become a difficult problem that must be solved. CONTENT OF THE INVENTION

[0005] The application provides a marking component suitable for AI visual identification, which solves the technical problem that irrelevant marks easily interfere with the identification of model categories through AI visual function by dividing the identification area on the body through the marking assembly. The function device with AI vision can determine the identification area by identifying the marking assembly to lock the identification mark on the identification area, solving the technical problem that irrelevant marks easily interfere with the identification of model categories through AI visual function.

[0006] To solve the above technical problems, the application provides a marking component suitable for AI visual identification, which mainly comprises: a body in a plate structure, configured on a target device; an identification area on the body; and an identification mark provided in the identification area, used to represent the model category of the target device.

[0007] Wherein, a marking assembly is provided at the edge position of the identification area, used to determine the range of the identification area by the functional device with AI vision to lock the identification mark.

[0008] In some embodiments, the marking assembly is provided on the body around the identification area, used to represent the layout range of the identification area on the body.

[0009] In some embodiments, the marking assembly comprises: a first marking piece configured at a first position of the body; and a second marking piece configured at a second position of the body.

[0010] Wherein, the first marking piece and the second marking piece can be identified by the functional device with AI vision through scanning or shooting mode, and the distance between the first position and the second position can represent the maximum layout distance of the identification area.

[0011] In some embodiments, the marking assembly further comprises: a third marking piece configured at a third position of the body, which can be identified by the functional device with AI vision through scanning or shooting mode; and a fourth position used to cooperatively form the identification area with the first position, the second position and the third position.

[0012] Wherein, the distance between the fourth position and the first position is equal to the distance between the second position and the third position, and the distance between the fourth position and the second position is equal to the distance between the first position and the third position.

[0013] In some embodiments, the first position, the second position, the third position and the fourth position are respectively provided with mounting structures for mounting the first marking piece or the second marking piece or the third marking piece.

[0014] In some embodiments, the first marking piece, the second marking piece and the third marking piece are the same structure of marking pieces, and the marking piece comprises: a mounting part adapted to the mounting structure, used to mount the marking piece on the body in cooperation with the mounting structure; and a target shape part connected with the mounting part, located on the side of the body for displaying the identification mark, used to be positioned by the functional device with AI vision.

[0015] In some embodiments, the target shape part is provided as a multi-prism structure to form a shape on the target shape part that can be positioned by the functional device with AI vision.

[0016] In some embodiments, the identification mark is arranged as a plurality of hollow structures formed on the body, each hollow structure is arranged in a character shape to represent the model category of the target equipment.

[0017] In some embodiments, the hollow structure is arranged in a shape of a one-digit number or a shape of an English letter.

[0018] In some embodiments, further comprising: a reinforcing rib connected to the body, the reinforcing rib is located in the hollow structure to stabilize the body with the hollow structure;

[0019] The reinforcing rib can adjust the light and dark area in the hollow structure in a way of blocking the light.

[0020] Through the above technical solution, the identification component suitable for AI visual recognition provided by the present application divides the identification area by arranging the marking assembly on the body, so that the functional equipment with AI vision can accurately identify and determine the range of the identification area, so that the functional equipment with AI vision can focus on the important identification in the identification area, avoiding the interference of irrelevant identification, thereby significantly improving the accuracy and reliability of identification. And through the marking assembly, the identification process of the functional equipment with AI vision is simplified, the identification speed of the pipe pile model category is accelerated, and the overall work efficiency is improved. Even in a complex construction environment, the marking assembly can ensure that the AI vision equipment accurately identifies the model category of the pipe pile, is suitable for various different use scenarios, and enhances the adaptability and flexibility of the system. In summary, the identification component suitable for AI visual recognition provided by the present application overcomes the problems in the prior art of AI visual identification of product model category, has significant technical advantages and practical value. BRIEF DESCRIPTION OF DRAWINGS

[0021] Figure 1 FIG. 1 is a schematic diagram of the three-dimensional structure of the identification component suitable for AI visual recognition in the embodiments of the present application;

[0022] Figure 2 FIG. 2 is a schematic diagram of the structure of the body in the embodiments of the present application;

[0023] Figure 3 FIG. 3 is a schematic diagram of the three-dimensional structure of the marking piece in the embodiments of the present application.

[0024] Reference signs:

[0025] 1, the body;

[0026] 1a, the identification area; 1b, the mounting structure; 1c, the reinforcing rib;

[0027] 2, the identification mark;

[0028] 3, marking assembly;

[0029] 31, first marking member; 32, second marking member; 33, third marking member;

[0030] 301, mounting portion; 302, target shape portion. DETAILED DESCRIPTION

[0031] The application will be described in further detail below with reference to the drawings.

[0032] Referring to Figure 1 and Figure 2 , the application proposes a marking component suitable for AI visual recognition, which can include: a body 1 configured on a target device, which has a distinction in model and category, such as a pipe pile, or other devices with more than two models. The body 1 can be provided in a plate structure, which is convenient to install on the target device in a hanging manner, so as to avoid unnecessary trouble caused by too complex installation form. The technical key point of the application lies in that an identification area 1a is provided on one side of the body 1, and an identification mark 2 capable of representing the model and category of the target device is provided on the identification area 1a. In this embodiment, the identification area 1a divided on the body 1 can be quickly identified by a functional device with AI vision, so that the identification mark 2 located on the identification area 1a can serve as the only identification for the functional device with AI vision to identify the model and category of the target device, effectively avoiding the influence of other marks on the target device on the judgment of the functional device with AI vision. Other marks on the target device can be understood as marks other than the body 1, such as identification features on the pipe pile.

[0033] Referring to Figure 1 , in some embodiments, the identification area 1a can be provided with a marking assembly 3 at the edge position, and the marking assembly 3 is arranged on the body 1 around the identification area 1a, which can represent the maximum distance of the layout range of the identification area 1a on the body 1. It can be understood that the layout range of the identification area 1a on the body 1 is between the marking assemblies 3, which can be directly projected on the marking assemblies 3, or can be smaller than the range that the marking assemblies 3 can represent, but cannot be larger than the range that the marking assemblies 3 can represent, so that the functional device with AI vision can determine the layout range of the identification area 1a on the body 1 by identifying the marking assembly 3, so as to be able to distinguish the features of the identification mark 2 located on the identification area 1a as the functional device with AI vision distinguishes the model and category of the target device. After the functional device with AI vision determines the identification area 1a through the marking assembly 3, the functional device with AI vision can quickly lock the effective identification mark 2 located on the identification area 1a. The functional device with AI vision mentioned in the application can have scanning or shooting visual function, or other visual function, which is not limited here.

[0034] In one embodiment, the identification area 1a can be set as a circle. Since the range of the identification area 1a can be represented by the marking assembly 3 in the present application, in the present embodiment, the marking assembly 3 can include a first marking element 31 and a second marking element 32, and the first marking element 31 is arranged at a first position on the body 1, and the second marking element 32 is arranged at a second position on the body 1 which is spaced apart from the first position, and the spacing distance between the first marking element 31 and the second marking element 32 can be equal to the diameter of the circular identification area 1a. Therefore, after the functional device with AI vision obtains the first position and the second position by identifying the first marking element 31 and the second marking element 32, the center position and the diameter size of the identification area 1a can be obtained, so as to determine the layout range of the identification area 1a on the body 1.

[0035] In a further embodiment, the marking assembly 3 can further include a third marking element 33 arranged at a third position on the body 1, so that the first position, the second position and the third position can form a triangular identification area 1a. Therefore, after the functional device with AI vision obtains the first position, the second position and the third position by identifying the first marking element 31, the second marking element 32 and the third marking element 33, the layout range of the triangular identification area 1a on the body 1 can be obtained. For details, refer to Figure 2 Alternatively, in the present embodiment, the functional device with AI vision can also calculate a fourth position based on the spacing information between the first position, the second position and the third position, so that the first position, the second position, the third position and the fourth position can form a parallelogram identification area 1a. Based on the characteristics of the parallelogram, when calculating the fourth position, the following conditions can be used: the spacing distance between the fourth position and the first position is equal to the spacing distance between the second position and the third position, and the spacing distance between the fourth position and the second position is equal to the spacing distance between the first position and the third position. Therefore, after the functional device with AI vision obtains the spacing distances between the fourth position and the first position and the second position respectively, the fourth position can be determined on the body 1 by locating the coordinates of the fourth position. It should be noted that in the embodiments of the present application, more marking elements can also be arranged on the body 1, which is not limited herein.

[0036] In the above embodiment, the marking member can also be arranged at the fourth position to represent the orientation of the fourth position, and thus the above estimation process can be omitted. However, in actual applications, the functional device with AI vision generally cannot face all target devices with identification components. Most identification devices have a certain angle with the functional device with AI vision. Here, taking 45° as an example, part of the structure of the target device can block a reference position on the boundary identification. Here, the blocked reference position is defined as the fourth position. Therefore, the first position, the second position, and the third position need to be determined, and then the fourth position is estimated through the above preset conditions, so that a virtual fourth position can be formed in the functional device with AI vision to determine the layout area of the recognition area 1a on the body 1.

[0037] With reference to the drawings, embodiments of the present application will be described in detail below. Figure 1 and Figure 3As shown, in some embodiments, the first marker 31, the second marker 32 and the third marker 33 can be provided as markers of the same structure, or can be provided as parts to be recognized by the functional device with AI vision, which can be determined according to actual conditions. In this embodiment, the markers of the same structure are taken as an example. The marker can have a mounting portion 301 and a target shape portion 302 capable of being recognized by the functional device with AI vision. The mounting portion 301 and the target shape portion 302 are fixedly connected, or the target shape portion 302 can be formed on the mounting portion 301. The first position, the second position, the third position and the fourth position on the body 1 can be provided with a mounting structure 1b matched with the mounting portion 301, so that the marker can be fixed at one of the first position, the second position, the third position and the fourth position through cooperation of the mounting portion 301 and the mounting structure 1b. In this embodiment, the mounting portion 301 and the mounting structure 1b can adopt clamping cooperation, welding, threaded cooperation and interference fit, etc. to fix the marker on the corresponding position of the body 1 through the mounting structure 1b. In this embodiment, threaded cooperation is preferred, that is, the marker can be provided as a bolt, the mounting portion 301 is a threaded rod with a threaded structure on the bolt, and the target shape portion 302 corresponds to the head of the bolt, and the mounting structure 1b is a threaded hole provided on the body 1 and corresponding to the first position, the second position, the third position and the fourth position respectively. The marker can be fixed on the body 1 through cooperation with the internal thread in the threaded hole, and the target shape portion 302 can be selected as a hexagonal head or a polygonal structure, or other special-shaped structures, so as to be effectively and quickly recognized by the functional device with AI vision. In order to facilitate the body 1 to be hung on the target device, the length of the marker can be set to be greater than the depth of the threaded hole, and the marker can pass through the other side of the body 1 through the threaded hole. Therefore, only a threaded hole of the same structure size needs to be reserved on the target device, so that the body 1 can be hung on the target device through threaded cooperation between the marker and the threaded hole. In this embodiment, the marker can also be replaced by an expansion bolt, that is, the target shape portion 302 is one end of the expansion bolt, and the marker is fixed on the body 1 through interference fit. The mounting structure 1b reserved on the body 1 and the target device is a mounting hole for matching the expansion bolt, so as to fix the marker on the body 1 and hang the body 1 on the target device. Of course, the present application is not limited to the two ways, but other ways can also be adopted, which need to meet the requirements of being recognized by the functional device with AI vision and being stably arranged on the body 1. The structure for cooperation of the body 1 to be hung or fixed on the target device can be arranged separately, which is not limited herein.

[0038] With reference to the drawings in detail Figure 2As shown, in some embodiments, the identification mark 2 capable of representing the target device model category can adopt a hollow structure presented on the body 1, so as to avoid dirt on the identification mark 2 affecting its appearance effect; when light transmits through the hollow structure, a light and dark reaction can be formed on the identification area 1a of the body 1 to present the identification mark 2, and the functional device with AI vision can identify the identification mark 2 through the light and dark reaction, so as to determine the model category of the target device. In the present embodiment, the identification mark 2 of the hollow structure can select the shape of some characters to represent the target devices of different model categories, and when the number of model categories to be represented is large, a plurality of character combinations can be selected to distinguish the representation characters of each model category. In order to improve the accuracy of AI vision identification, the characters can preferentially select the shape of Arabic numerals or English letters. For example: numbers between 0000 and 9999, or English letters can be added or one or more numbers can be replaced by English letters to improve the number of models that the representation characters can represent.

[0039] In further embodiments of the identification mark 2, a reinforcing rib 1c connected with the body 1 is further arranged in the hollow structure of the identification mark 2, for stabilizing the hollow structure capable of representing the character shape. It needs to be explained that in some characters, especially the shape of Arabic numerals and English letters, when the shape is presented through the hollow structure, the hollow structure needs to form a closed loop on the body 1, so that part of the structure of the body 1 located in the closed loop loses support and falls off, seriously affecting the good presentation of some characters through the hollow structure; therefore, in the present embodiment, the reinforcing rib 1c can be used to assist in supporting operation, so that some characters can fully present the shape characteristics. It needs to be noted that characters that do not need extra support can also be provided with the reinforcing rib 1c. Since the reinforcing rib 1c belongs to a solid structure, it can block part of the light in the hollow structure, so that the reinforcing rib 1c also has the function of adjusting the light and dark reaction, especially when the functional device with AI vision scans or shoots the identification mark 2 at a certain inclination angle, the identification mark 2 with adjusted light and dark reaction can display more stereoscopic, which is helpful for the functional device with AI vision to identify, therefore, the identification component proposed in the present application can effectively improve the identification efficiency of the functional device with AI vision, and reduce the identification error rate of the functional device with AI vision.

[0040] The above describes embodiments of the present application in detail, examples of the embodiments are shown in the drawings, wherein the same or similar reference signs represent the same or similar elements or elements with the same or similar functions throughout. The above described embodiments by referring to the drawings are exemplary and are intended to explain the present application, and cannot be understood as a limitation of the present application.

[0041] In the description of the present application, it needs to be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "clockwise", "counterclockwise" and the like indicate the orientation or positional relationship shown in the drawings, which are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation of the present application.

[0042] In the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connecting", "fixing" and the like should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0043] In the present application, unless otherwise explicitly specified and limited, the first feature "on" or "under" the second feature can include that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, the first feature "on", "above" and "on" the second feature includes that the first feature is directly above and obliquely above the second feature, or only indicates that the first feature is higher than the second feature in horizontal height. The first feature "under", "below" and "below" the second feature includes that the first feature is directly below and obliquely below the second feature, or only indicates that the first feature is lower than the second feature in horizontal height.

[0044] Finally, it needs to be pointed out that the above description is only for the preferred embodiments of the present application, and those skilled in the art can make various modifications under the inspiration of the present application without departing from the purpose of the present application and the claims, and such modifications all fall within the protection scope of the present application.

[0045] The above is only some embodiments of the present application. For those skilled in the art, without departing from the creative concept of the present application, a number of modifications and improvements can be made, which all fall within the protection scope of the present application.

Claims

1. A marking component suitable for AI visual recognition, characterized in that, The identification component comprises: a body (1) in a plate structure, configured on a target device; an identification area (1a) on the body (1); an identification mark (2) provided in the identification area (1a) for representing a model category of the target device; wherein a marking assembly (3) is provided at an edge position of the identification area (1a) for determining the range of the identification area (1a) by a functional device with AI vision to lock the identification mark (2).

2. The identification component suitable for AI vision identification according to claim 1, wherein the marking assembly (3) is provided on the body (1) around the identification area (1a) for representing the layout range of the identification area (1a) on the body (1).

3. The marking component to which AI vision is applied according to claim 1 or 2, characterized in that, the marking assembly (3) comprises: a first marking part (31) configured at a first position of the body (1); a second marking part (32) configured at a second position of the body (1); wherein the first marking part (31) and the second marking part (32) can be identified by the functional device with AI vision through scanning or shooting, and the distance between the first position and the second position represents the maximum layout distance of the identification area (1a).

4. The marking component of claim 3, wherein, the marking assembly (3) further comprises: a third marking part (33) configured at a third position of the body (1), which can be identified by the functional device with AI vision through scanning or shooting; a fourth position for cooperating with the first position, the second position and the third position to form the identification area (1a); wherein the distance between the fourth position and the first position is equal to the distance between the second position and the third position, and the distance between the fourth position and the second position is equal to the distance between the first position and the third position.

5. The identification component suitable for AI vision identification according to claim 4, wherein the first position, the second position, the third position and the fourth position are respectively provided with a mounting structure (1b) for mounting the first marking part (31), the second marking part (32) or the third marking part (33).

6. The marking component of claim 5, wherein, the first marking part (31), the second marking part (32) and the third marking part (33) are marking parts of the same structure, and the marking part comprises: a mounting part (301) matched with the mounting structure (1b) for mounting the marking part on the body (1) in cooperation with the mounting structure (1b); a target shape part (302) connected with the mounting part (301), which is located on the side of the body (1) for displaying the identification mark (2) for positioning by the functional device with AI vision.

7. The identification component suitable for AI vision identification according to claim 6, wherein The target shape part (302) is provided as a multi-rib structure to form a shape on the target shape part (302) that can be positioned by the functional device with AI vision.

8. The identification component suitable for AI visual identification according to claim 1, wherein The identification mark (2) is provided as a plurality of hollow structures formed on the body (1), and each of the hollow structures is provided as a character shape to represent the model category of the target device.

9. The identification component suitable for AI visual identification according to claim 8, wherein The hollow structure is provided as a shape of a one-digit number or a shape of an English letter.

10. The identification component to which AI visual recognition is applied according to claim 8 or 9, characterized in that, Further comprising: A reinforcing rib (1c) connected with the body (1), the reinforcing rib (1c) is located in the hollow structure to stabilize the body (1) with the hollow structure; Wherein, the reinforcing rib (1c) can adjust the light and shade area in the hollow structure in a way of blocking the light transmission.

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