An image recognition-based wood board defect automatic detection device

By designing an automatic defect detection device for plywood based on image recognition, the problem of low efficiency in plywood defect detection was solved, enabling batch detection and intuitive display, thereby improving detection efficiency and maintenance convenience.

CN224317548UActive Publication Date: 2026-06-02山东省曹县汇源木业有限公司

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
山东省曹县汇源木业有限公司
Filing Date
2025-05-08
Publication Date
2026-06-02

Smart Images

  • Figure CN224317548U_ABST
    Figure CN224317548U_ABST
Patent Text Reader

Abstract

The utility model relates to wood -working board detection technical field, proposes a kind of wood -working board defect automatic detection device based on image recognition, including outer frame, the upper end front and rear ends of outer frame are integrally fixedly connected with adjusting plate, and the middle part of outer frame is fixed with detection shell, the front and rear end surface and the upper end surface of detection shell are all penetrated installation, and the inside one end of detection shell is installed and connected with monitoring that installation support is located, the display screen is installed in the front end surface of detection shell, the front and rear upper end surface of outer frame is all fixedly connected, the middle part of clamping structure is installed and connected in the end of rotating shaft, the inside of slider is penetrated and is connected with slide rod. This wood -working board defect automatic detection device based on image recognition, it is convenient to carry out batch detection when the defect detection of wood -working board, improve work efficiency, intuitive display detected defect by the way of image recognition simultaneously, facilitate later maintenance.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This utility model relates to the field of woodworking board inspection technology, specifically to an automatic defect detection device for woodworking boards based on image recognition. Background Technology

[0002] In modern life, especially in home decoration, plywood is often used. However, the compressive strength or tensile strength of the plywood purchased is often unknown. If substandard plywood is used without knowing the details, it may result in financial loss or even injury to the user.

[0003] Prior art 1 (application number: CN202122965174.X) discloses a verticality detection device for civil engineering construction quality inspection, belonging to the field of civil engineering technology. This device includes a mobile carrier, with a support plate connected to the upper surface of the carrier via a leveling component. A control device is fixedly installed on the upper surface of the support plate, interacting with an external terminal device via network data. A level is fixedly installed on the upper surface of the support plate. A mounting frame is vertically fixed to the front end of the support plate via two electric push rods. Two sets of measuring components are symmetrically arranged on the mounting frame. Each measuring component includes a sliding plate, a push plate, two sliding rods, a pressure plate, an air bladder, and a differential pressure sensor. An adjustment component is provided at the top of the mounting frame. This invention effectively solves the problems of existing detection tools, which are simple in structure, have limited function, cannot accurately detect verticality deviations, and have low accuracy.

[0004] However, in implementing the relevant technology, the verticality detection device for civil engineering construction quality inspection mentioned above has the following problems: it is inconvenient to conduct batch inspections when detecting defects in plywood, resulting in low work efficiency. At the same time, it is inconvenient to intuitively display the detected defects through image recognition, making subsequent maintenance difficult. Utility Model Content

[0005] This invention proposes an automatic defect detection device for plywood based on image recognition, which solves the problems in related technologies such as the inconvenience of batch detection of defects in plywood, low work efficiency, and the inconvenience of visually displaying detected defects through image recognition, which makes subsequent repairs difficult.

[0006] The technical solution of this utility model is as follows: an automatic detection device for woodworking board defects based on image recognition, including an outer frame, an adjustment plate is integrally fixedly connected to both the front and rear ends of the upper end of the outer frame, a detection shell is installed and fixed in the middle of the outer frame, and a motor is installed and connected to the left rear end of the outer frame.

[0007] The mounting bracket is installed through the front, rear, and upper surfaces of the detection housing, and a monitoring device is installed and connected to one end of the mounting bracket inside the detection housing.

[0008] The display screen is mounted on the front end face of the detection housing, and the second screw hole on the detection housing is fixedly connected to the first screw hole by bolts;

[0009] Also includes:

[0010] The slide rod is fixedly connected to the front and rear upper surfaces of the outer frame, and a lead screw is rotatably installed above the rear slide rod. The left end of the lead screw is fixedly connected to the output end of the motor, and the lead screw is rotatably connected to the rear upper surface of the outer frame.

[0011] A clamping structure is provided, wherein the middle part of the clamping structure is installed and connected to the end of the rotating shaft, and the rotating shaft is integrally and fixedly connected to the central shaft of the half gear;

[0012] The slider has a sliding rod that runs through its interior, and a lead screw is threaded to the upper end of the rear slider.

[0013] Preferably, the clamping structure includes a lower clamping block, an electric telescopic rod, a limiting rod, and an upper clamping block. The middle part of the lower clamping block is integrally fixedly connected to the end of the rotating shaft. The limiting rod is fixedly connected to the upper groove of the lower clamping block. The limiting rod passes through the protrusion of the upper clamping block. The lower end face of the protrusion of the upper clamping block is fixedly installed with the output end of the electric telescopic rod. The electric telescopic rod is installed inside the lower clamping block. The lower clamping block and the upper clamping block form a lifting structure through the limiting rod.

[0014] Preferably, the lower clamping block has an "L" shape, and the lower clamping block and the upper clamping block form a "U" shape. Both the lower clamping block and the upper clamping block are arranged in two sets symmetrically about the horizontal central axis of the outer frame.

[0015] Preferably, the half gear and the adjusting plate are meshed, and the half gear forms a rotating structure on the slider through a rotating shaft.

[0016] Preferably, the clamping structure forms a left-right sliding structure on the slide rod through a half gear and a slider, and the clamping structure forms a flipping structure inside the detection housing through a half gear and an adjusting plate.

[0017] Preferably, the length of the serrated structure on the upper surface of the adjustment plate is less than the total length of the adjustment plate, and the length of the serrated structure on the upper surface of the adjustment plate is less than the width of the detection housing.

[0018] Preferably, a material unloading platform is fixedly installed on the inner left side of the outer frame, and the longitudinal section of the material unloading platform is inclined, and the vertical surface of the left side wall at the upper opening of the outer frame is located to the left of the vertical surface of the right end face of the material unloading platform.

[0019] Preferably, the mounting bracket has first screw holes at equal angles, and the first screw holes correspond one-to-one with the second screw holes on the detection housing, and the mounting bracket and the monitoring device form a "T" shaped structure.

[0020] The working principle and beneficial effects of this utility model are as follows: It is mainly to facilitate batch inspection of defects in plywood, improve work efficiency, and intuitively display the detected defects through image recognition, which facilitates subsequent repairs.

[0021] In this utility model, a mounting frame and a monitoring device are provided. The monitoring device is installed through the mounting frame on the detection housing, which is convenient for installation and fixation, and also convenient for maintenance. It is convenient to monitor and photograph the plywood conveyed into the detection housing from multiple angles, and display it intuitively on the display screen.

[0022] In this utility model, a slider and a clamping structure are provided. The clamping structure clamps and fixes the plywood. The slider and the lead screw are connected by a thread to drive the plywood to be transferred and flipped stably. This facilitates defect detection and processing through the monitoring inside the detection shell, avoids manual flipping, and improves work efficiency.

[0023] In this utility model, a feeding platform and an outer frame are provided. The longitudinal section of the feeding platform is triangular. When the plywood is conveyed to the top of the feeding platform, the clamping structure loses its clamping effect on the plywood, so that the plywood can fall onto the feeding platform and automatically slide to the outside of the outer frame, which facilitates automatic feeding and makes it easy to clamp new plywood for inspection and processing. Attached Figure Description

[0024] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0025] Figure 1 This is a schematic diagram of the overall structure proposed in this utility model;

[0026] Figure 2 This is a schematic diagram of the connection structure between the detection shell and the mounting bracket proposed in this utility model;

[0027] Figure 3 This is a schematic diagram of the connection structure of the slider, lead screw, and half gear proposed in this utility model.

[0028] Figure 4 This is a schematic diagram of the clamping structure proposed in this utility model.

[0029] In the diagram: 1. Outer frame; 2. Slide rod; 3. Lead screw; 4. Motor; 5. Detection housing; 6. Display screen; 7. Mounting bracket; 8. Slider; 9. Clamping structure; 901. Lower clamping block; 902. Electric telescopic rod; 903. Limiting rod; 904. Upper clamping block; 10. Adjusting plate; 11. Unloading platform; 12. First screw hole; 13. Second screw hole; 14. Monitoring; 15. Half gear; 16. Rotating shaft. Detailed Implementation

[0030] The technical solutions of this utility model will be clearly and completely described below with reference to the embodiments of this utility model. Obviously, the described embodiments are only some embodiments of this utility model, and not all embodiments. Based on the embodiments of this utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this utility model.

[0031] Please see Figures 1-4 This utility model provides a technical solution for an automatic defect detection device for woodworking boards based on image recognition: including an outer frame 1, a slide rod 2, a lead screw 3, a motor 4, a detection housing 5, a display screen 6, a mounting bracket 7, a slider 8, a clamping structure 9, a lower clamping block 901, an electric telescopic rod 902, a limiting rod 903, an upper clamping block 904, an adjusting plate 10, a feeding platform 11, a first screw hole 12, a second screw hole 13, a monitoring device 14, a half gear 15, and a rotating shaft 16.

[0032] The working principle and usage process of this utility model are as follows: First, combined with... Figure 4 As shown, the clamping structure 9 includes a lower clamping block 901, an electric telescopic rod 902, a limiting rod 903, and an upper clamping block 904. The middle part of the lower clamping block 901 is integrally fixedly connected to the end of the rotating shaft 16. The limiting rod 903 is fixedly connected to the upper groove of the lower clamping block 901. The limiting rod 903 passes through the protrusion of the upper clamping block 904. The lower end face of the protrusion of the upper clamping block 904 is fixedly installed with the output end of the electric telescopic rod 902. The electric telescopic rod 902 is installed inside the lower clamping block 901. The lower clamping block 901 and the upper clamping block 904 form a lifting structure through the limiting rod 903. The structure is lowered, with the lower clamping block 901 in an "L" shape and the upper clamping block 904 forming a "U" shape. Both the lower clamping block 901 and the upper clamping block 904 are arranged symmetrically in two sets about the horizontal central axis of the outer frame 1. The plywood is placed on the upper surface of the lower clamping block 901, and the upper clamping block 904 is raised and lowered on the lower clamping block 901 by the electric telescopic rod 902. This facilitates the automatic clamping and fixing of plywood of different thicknesses, facilitates stable transmission, and is convenient for inspection. The length of the lower clamping block 901 is smaller than the width of the plywood.

[0033] Combination Figure 1 and Figure 3As shown, the half gear 15 and the adjusting plate 10 are meshed, and the half gear 15 forms a rotating structure on the slider 8 through the rotating shaft 16. The clamping structure 9 forms a left-right sliding structure on the slide rod 2 through the half gear 15 and the slider 8. The clamping structure 9 forms a flipping structure inside the detection housing 5 through the half gear 15 and the adjusting plate 10. The length dimension of the serrated structure on the upper end face of the adjusting plate 10 is less than the total length dimension of the adjusting plate 10, and the length dimension of the serrated structure on the upper end face of the adjusting plate 10 is less than the width of the detection housing 5. The clamping structure 9 clamps the plywood and conveys it horizontally through the threaded connection between the slider 8 and the lead screw 3. When the plywood is conveyed to the serrated structure of the adjusting plate 10, the half gear 15 meshes with the adjusting plate 10, which facilitates the plywood to flip inside the detection housing 5. This makes it easier for the monitoring 14 to monitor and photograph multiple sides of the plywood, thus making it easier to intuitively display the detected defects and facilitate subsequent maintenance.

[0034] Combination Figure 1 and Figure 2 As shown, a feeding platform 11 is fixedly installed on the left side of the inner side of the outer frame 1. The longitudinal section of the feeding platform 11 is inclined, and the vertical surface of the left side wall at the upper opening of the outer frame 1 is located to the left of the vertical surface of the right end face of the feeding platform 11. The mounting bracket 7 has first screw holes 12 at equal angles, and the first screw holes 12 correspond one-to-one with the second screw holes 13 on the detection housing 5. The mounting bracket 7 and the monitoring 14 form a "T" shape. After the inspection is completed, when the plywood is conveyed to the left side of the detection housing 5, when the plywood is located on the feeding platform 11 When the lower clamping block 901 is directly above the upper clamping block 904, the electric telescopic rod 902 automatically pushes the upper clamping block 904 upward, thus facilitating the separation of the lower clamping block 901 from the upper clamping block 904. During the conveying process, the plywood is set vertically downward due to inertia. Thus, when the plywood is conveyed to the left side of the detection housing 5, the plywood falls onto the upper surface of the unloading platform 11. The upper surface of the unloading platform 11 is set at an inclination, thus facilitating the sliding of the plywood onto the outside of the outer frame 1, which is convenient for automatic unloading and for the plywood to be clamped again for inspection. This is the working process of the automatic plywood defect detection device based on image recognition.

[0035] The above are merely preferred embodiments of the present utility model and are not intended to limit the present utility model. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present utility model shall be included within the protection scope of the present utility model.

Claims

1. An automatic detection device for woodworking board defects based on image recognition, comprising an outer frame (1), wherein an adjustment plate (10) is integrally fixedly connected to both the front and rear ends of the upper end of the outer frame (1), and a detection shell (5) is installed and fixed in the middle of the outer frame (1), and a motor (4) is installed and connected to the left rear end of the outer frame (1). Mounting bracket (7) is installed through the front and rear end faces and the upper end face of the detection housing (5), and a monitoring device (14) is installed and connected to one end of the mounting bracket (7) inside the detection housing (5). The display screen (6) is installed on the front end face of the detection housing (5), and the second screw hole (13) on the detection housing (5) is fixedly connected to the first screw hole (12) by bolts; Its features are, Also includes: The slide rod (2) is fixedly connected to the front and rear upper surfaces of the outer frame (1), and a lead screw (3) is rotatably installed above the slide rod (2) on the rear side. The left end of the lead screw (3) is fixedly installed and connected to the output end of the motor (4), and the lead screw (3) is rotatably connected to the rear upper surface of the outer frame (1). The clamping structure (9) is installed and connected in the middle to the end of the rotating shaft (16), and the rotating shaft (16) is integrally fixedly connected to the central shaft of the half gear (15). The slider (8) has a sliding rod (2) that runs through its interior, and the upper end of the slider (8) on the rear side is threaded with a lead screw (3).

2. The automatic defect detection device for woodworking boards based on image recognition according to claim 1, characterized in that, The clamping structure (9) includes a lower clamping block (901), an electric telescopic rod (902), a limiting rod (903), and an upper clamping block (904). The middle part of the lower clamping block (901) is integrally fixedly connected to the end of the rotating shaft (16). The limiting rod (903) is fixedly connected to the groove at the upper end of the lower clamping block (901). The limiting rod (903) passes through the protrusion of the upper clamping block (904). The lower end face of the protrusion of the upper clamping block (904) is fixedly installed with the output end of the electric telescopic rod (902). The electric telescopic rod (902) is installed inside the lower clamping block (901). The lower clamping block (901) and the upper clamping block (904) form a lifting structure through the limiting rod (903).

3. The automatic defect detection device for plywood based on image recognition according to claim 2, characterized in that, The lower clamping block (901) has an "L" shaped structure, and the lower clamping block (901) and the upper clamping block (904) form a "U" shaped structure. The lower clamping block (901) and the upper clamping block (904) are arranged in two sets symmetrically about the horizontal central axis of the outer frame (1).

4. The automatic defect detection device for plywood based on image recognition according to claim 1, characterized in that, The half gear (15) is meshed with the adjusting plate (10), and the half gear (15) forms a rotating structure on the slider (8) through the rotating shaft (16).

5. The automatic defect detection device for woodworking boards based on image recognition according to claim 1, characterized in that, The clamping structure (9) forms a left-right sliding structure on the slide rod (2) through the half gear (15) and the slider (8), and the clamping structure (9) forms a flipping structure inside the detection shell (5) through the half gear (15) and the adjusting plate (10).

6. The automatic defect detection device for woodworking boards based on image recognition according to claim 1, characterized in that, The length dimension of the sawtooth structure on the upper end face of the adjustment plate (10) is less than the total length dimension of the adjustment plate (10), and the length dimension of the sawtooth structure on the upper end face of the adjustment plate (10) is less than the width of the detection shell (5).

7. The automatic defect detection device for woodworking boards based on image recognition according to claim 1, characterized in that, A feeding platform (11) is fixedly installed on the left side of the inner side of the outer frame (1), and the longitudinal section of the feeding platform (11) is inclined. The vertical surface of the left side wall at the upper opening of the outer frame (1) is located to the left of the vertical surface of the right end face of the feeding platform (11).

8. The automatic defect detection device for woodworking boards based on image recognition according to claim 1, characterized in that, The mounting bracket (7) has a first screw hole (12) at an equal angle, and the first screw hole (12) and the second screw hole (13) on the detection housing (5) are set in a one-to-one correspondence, and the mounting bracket (7) and the monitoring (14) form a "T" shaped structure.