Three-dimensional visual identification equipment for warehousing detection of auxiliary materials
By combining 3D vision recognition equipment with 3D and 2D cameras, the uncertainties of manual identification and the inadequacy of 3D recognition in the inspection of auxiliary materials entering the warehouse have been solved, realizing efficient and accurate detection of auxiliary materials and improving production efficiency and quality.
Patent Information
- Application Number
- CN202423072620.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-12
- Publication Date
- 2026-02-10
- Estimated Expiration
- 2034-12-12
AI Technical Summary
In existing technologies, the inspection of auxiliary materials upon warehousing relies on manual labor, which results in uncertain arrival times, difficulty in timely personnel arrival, and the inability to fully and accurately identify auxiliary materials with three-dimensional structures, leading to low production efficiency and unstable quality.
The three-dimensional vision recognition equipment, composed of 3D and 2D cameras, combined with a vision support frame, industrial control cabinet and production line, can achieve three-dimensional recognition of auxiliary materials and full coverage of two-dimensional features. Automatic judgment and screening are achieved through image data processing.
It enables timely and accurate testing of auxiliary materials, improves testing efficiency and accuracy, reduces human error, and enhances the automation and intelligence of warehousing management.
Smart Images
Figure CN223897901U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The utility model relates to the technical field of auxiliary material warehousing identification, more particularly, especially to a three-dimensional visual identification equipment for auxiliary material warehousing detection. BACKGROUND
[0002] In the production process of the tobacco industry, the counting of cigarettes is a very important link, which is directly related to the smoothness of the production process and the control of product quality. In the past, this link mainly relied on manual work. However, in actual operation, this manual counting method exposes the following problems: (1) the incoming material time cannot be constant, and personnel are difficult to arrive in time. This uncertainty not only affects production efficiency, but also may increase production cost; (2) in the process of manual counting, since the material tray is usually stacked with multiple layers of materials, and the number and type of materials in each layer may be different, the counting personnel are difficult to accurately identify the materials in the middle area of the material tray, which not only reduces the accuracy of counting, but also leads to confusion of materials in production, thereby affecting product quality and further affecting work quality and production efficiency; (3) long-term continuous manual counting makes personnel tired, and the decline in attention leads to poor accuracy.
[0003] In addition, the existing auxiliary material counting system has limited functions and can only identify the two-dimensional shape of the auxiliary material. However, in actual cigarette production, the auxiliary material has a three-dimensional structure, and relying only on two-dimensional shape identification cannot comprehensively and accurately identify and determine the auxiliary material. SUMMARY
[0004] An object of the present utility model is to provide a three-dimensional visual identification equipment for auxiliary material warehousing detection to solve the problems of the foregoing incoming material time being unable to be constant, personnel being difficult to arrive in time, and being unable to comprehensively and accurately identify and determine the auxiliary material.
[0005] According to the first aspect of the present utility model, a three-dimensional visual identification equipment for auxiliary material warehousing detection is provided, which comprises a 3D camera, a visual support frame, and a 2D camera; the visual support frame comprises a 3D camera support and a 2D camera support; the 3D camera is installed on the 3D camera support, and the 2D camera is installed on the 2D camera support.
[0006] Optionally, the visual support frame further comprises a reinforcing member and a connecting corner member, the 3D camera support is assembled through the connecting corner member, and the reinforcing member is connected with the display screen frame, and the 2D camera support is connected with the 3D camera support through the connecting corner member.
[0007] Optionally, the 3D camera is installed on the top of the 3D camera support.
[0008] Optionally, the 3D camera bracket is provided with an adjusting device for fine-tuning the position of the 3D camera, which includes but is not limited to at least one of an angle fine-tuning knob and a height adjusting screw.
[0009] Optionally, the three-dimensional visual recognition device for auxiliary material warehouse detection further comprises a power distribution cabinet and an industrial control cabinet, wherein the cables of the 3D camera and the 2D camera are connected to the industrial control cabinet and are powered from the power distribution cabinet.
[0010] Optionally, the three-dimensional visual recognition device for auxiliary material warehouse detection further comprises a production line, and the auxiliary material to be detected moves on the production line, and the 3D camera and the 2D camera recognize and detect the auxiliary material on the production line.
[0011] Optionally, the production line is provided with a conveyor belt, a transmission mechanism and a positioning device, the transmission mechanism adjusts the conveying speed of the auxiliary material according to different production requirements, and the positioning device is used to position the auxiliary material at a specific position for detection by the 3D camera and the 2D camera.
[0012] Optionally, the three-dimensional visual recognition device for auxiliary material warehouse detection further comprises a tray stacking machine, the tray stacking machine is connected to the production line through a mechanical structure, and the mechanical arm of the tray stacking machine stacks the auxiliary material on a tray and marks and records the tray.
[0013] Optionally, the 2D camera is provided with two 2D cameras, and the 2D camera bracket includes two parts arranged oppositely, and the two 2D cameras are arranged on the two parts of the 2D camera bracket respectively.
[0014] The three-dimensional visual recognition device for auxiliary material warehouse detection according to the present disclosure has the following technical effects:
[0015] The 3D camera is installed on the top of the 3D camera bracket, which can clearly view the overall appearance of the incoming material, and identify the middle area more easily and accurately, while avoiding shaking caused by equipment operation vibration, external interference and other factors, ensuring that each three-dimensional image captured can accurately reflect the real space form and size information of the auxiliary material at that time; the adjusting device (such as angle fine-tuning knob, height adjusting screw, etc.) provided on the 3D camera bracket further enhances the flexibility and adaptability of the device. The operator can fine-tune the position of the 3D camera according to the detection requirements of different auxiliary materials, the actual layout of the production line and the initial calibration of the camera, etc.
[0016] Two 2D cameras are provided and installed on the two parts of the oppositely arranged 2D camera bracket respectively, which can cover the two-dimensional plane features of the auxiliary material to be detected from different angles, expand the collection range of the two-dimensional image, and reduce the detection blind area caused by shielding and other factors;
[0017] After receiving image data from 3D and 2D cameras, the industrial control cabinet converts the raw image information into data that can intuitively reflect key information such as the type, quantity, and quality of auxiliary materials. At the same time, it can automatically judge and screen auxiliary materials according to preset standards, which greatly improves the efficiency and accuracy of detection.
[0018] This invention enables timely processing of materials received at any time. Furthermore, the equipment can operate continuously for extended periods, achieving comprehensive, accurate, and efficient inspection of auxiliary materials before warehousing, ensuring the orderly execution of subsequent warehousing operations. Through the coordinated operation of its various components, it effectively avoids the subjectivity, large errors, and low efficiency associated with manual inspection, improving the automation and intelligence level of auxiliary material warehousing management and guaranteeing the accuracy of warehousing material information.
[0019] Other features and advantages of the present invention will become clear from the following detailed description of exemplary embodiments of the present invention with reference to the accompanying drawings. Attached Figure Description
[0020] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments of the present invention and, together with their description, serve to explain the principles of the present invention.
[0021] Figure 1 A schematic diagram of the overall layout of a three-dimensional vision recognition device for detecting auxiliary materials entering the warehouse, provided in an embodiment of this utility model.
[0022] Figure 2 This is a schematic diagram of the visual support frame structure in the three-dimensional visual recognition device for detecting auxiliary materials entering the warehouse, provided in an embodiment of this utility model.
[0023] The diagram is marked as follows:
[0024] 1: 3D camera; 2: Vision support frame; 3: Display screen frame; 4: Power distribution cabinet; 5: Production line; 6: Industrial control cabinet; 7: Stacking machine; 8: 2D camera; 21: 3D camera bracket; 22: 2D camera bracket; 23: Reinforcing parts; 24: Connecting corner pieces. Detailed Implementation
[0025] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values of the components and steps set forth in these embodiments do not limit the scope of the present invention.
[0026] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use.
[0027] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.
[0028] In all the examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.
[0029] This utility model proposes an embodiment of a three-dimensional visual recognition device for detecting auxiliary materials entering the warehouse. Specifically, as follows: Figure 1 and Figure 2 As shown, the system includes: a 3D camera 1, a visual support frame 2, and a 2D camera 8. The visual support frame 2 includes a 3D camera bracket 21 and a 2D camera bracket 22. The 3D camera 1 is mounted on the 3D camera bracket 21, and the 2D camera 8 is mounted on the 2D camera bracket 22. The visual support frame 2 provides a stable support platform for the 3D camera 1 and the 2D camera 8, enabling them to maintain a fixed position and angle during operation and preventing shaking caused by equipment vibration, external interference, or other factors. The 2D camera bracket 22 provides a stable mounting base for the 2D camera 8, ensuring that the 2D camera 8 remains in a fixed position during operation, thereby acquiring clear and stable two-dimensional images and laying the foundation for fusion analysis with the three-dimensional data acquired by the 3D camera 1.
[0030] In this embodiment of the invention, the visual support frame 2 further includes a reinforcing member 23 and a connecting corner piece 24. The 3D camera bracket 21 is assembled via the connecting corner piece 24, and the 2D camera bracket 22 is connected to the 3D camera bracket 21 via the connecting corner piece 24, ensuring a firm connection and precise positional relationship between the brackets. The reinforcing member 23 is also connected to the display screen frame 3, effectively enhancing the connection strength between the visual support frame and the display screen frame, and dispersing various stresses generated during equipment operation (such as forces generated by vibration and gravity).
[0031] In this embodiment of the utility model, the 3D camera 1 is mounted on the top of the 3D camera bracket 21, which can clearly view the entire incoming material from above, making it easier and more accurate to identify the middle area.
[0032] In this embodiment of the invention, the 3D camera bracket 21 is equipped with an adjustment device for fine-tuning the position of the 3D camera 1. The adjustment device includes, but is not limited to, at least one of an angle fine-tuning knob and a height adjustment screw. Operators can fine-tune the position of the 3D camera according to the testing requirements of different auxiliary materials, the actual layout of the production line, and the initial calibration status of the camera. For example, for auxiliary materials that are small in size and require more detailed 3D imaging, the camera angle can be adjusted using the angle fine-tuning knob to focus on the optimal shooting angle and obtain clearer and more accurate 3D details. Changing the camera height using the height adjustment screw can adapt to production lines 5 with different conveyor belt heights, ensuring effective imaging and testing of auxiliary materials at any position on the production line 5.
[0033] In this embodiment of the invention, the 3D vision recognition device for auxiliary material warehousing inspection also includes a power distribution cabinet 4 and an industrial control cabinet 6. The cables of the 3D camera 1 and the 2D camera 8 are connected to the industrial control cabinet 6 and powered from the power distribution cabinet 4. The industrial control cabinet 6 serves as the data processing and control center for the entire device. After receiving image data from the 3D camera 1 and the 2D camera 8, the industrial control cabinet 6 uses built-in software and algorithms to process the data, transforming the original image information into data that intuitively reflects key warehousing information such as the type, quantity, and quality of the auxiliary materials. Simultaneously, it automatically judges and filters the auxiliary materials according to preset standards, improving the efficiency and accuracy of the inspection. Furthermore, it can store and manage the inspection data for convenient subsequent querying, statistics, and analysis.
[0034] In this embodiment of the utility model, the three-dimensional vision recognition device for detecting auxiliary materials entering the warehouse also includes a production line 5. The auxiliary materials to be detected move on the production line 5, and the 3D camera 1 and the 2D camera 8 identify and detect the auxiliary materials on the production line 5.
[0035] In this embodiment of the invention, production line 5 is equipped with a conveyor belt, a transmission mechanism, and a positioning device. The transmission mechanism adjusts the conveying speed of auxiliary materials according to different production needs, and the positioning device positions the auxiliary materials at specific locations for inspection by 3D camera 1 and 2D camera 8. The conveyor belt on production line 5 serves as the transport carrier for auxiliary materials. The transmission mechanism flexibly adjusts the conveying speed of auxiliary materials according to different production needs. For example, when different batches or types of auxiliary materials require different inspection times or warehousing rhythms, the conveying speed can be adjusted to match the inspection speed of the equipment. The positioning device precisely positions the auxiliary materials at specific locations, ensuring that 3D camera 1 and 2D camera 8 can inspect the auxiliary materials at fixed, optimal shooting points each time, avoiding inaccurate inspection data due to the randomness of the auxiliary material's position and guaranteeing the consistency and accuracy of the inspection.
[0036] In this embodiment of the invention, the 3D vision recognition device for detecting auxiliary materials entering the warehouse also includes a pallet stacking machine 7. The pallet stacking machine 7 is connected to the production line 5 via a mechanical structure. The robotic arm of the pallet stacking machine 7 stacks the auxiliary materials onto the pallets and marks and records the pallets. Based on the information detected by the 3D camera 1 and the 2D camera 8 (such as the type and quantity of auxiliary materials), the robotic arm of the pallet stacking machine 7 can accurately stack the auxiliary materials onto the pallets, realizing automated palletizing operations and avoiding errors and confusion that may occur with manual palletizing.
[0037] In this embodiment of the invention, two 2D cameras 8 are provided, and the 2D camera bracket 22 comprises two opposing parts, with the two 2D cameras 8 respectively mounted on the two parts of the 2D camera bracket 22. This arrangement can cover the two-dimensional planar features of the excipient to be detected from different angles, expanding the acquisition range of the two-dimensional image and reducing detection blind spots caused by factors such as occlusion. For example, when detecting excipients with important information such as markings or barcodes printed on the surface, the two cameras can simultaneously capture images from different sides, complementing each other and more comprehensively and accurately identifying these key two-dimensional feature information.
[0038] In the use of the three-dimensional visual recognition equipment of this utility model, the 3D camera bracket 21 is assembled according to the drawings by connecting corner pieces 24, and the reinforcing member 23 is connected to the display screen frame 3. The 2D camera bracket 22 is connected to the 3D camera bracket 21 by connecting corner pieces 24. Then, the 3D camera 1 is installed on the top of the 3D camera bracket 21 according to the drawings, and the 2D camera 8 is installed on the 2D camera bracket 22. All camera cables are connected to the industrial control cabinet 6 and power is drawn from the power distribution cabinet 4 to complete the construction.
[0039] During the inventory process, after the incoming materials arrive at any time, a 3D camera 1 is used to take a top-down picture of the materials to determine the types of materials in each area of the tray. The quantity is calculated based on the height information obtained. At the same time, since some materials look similar from above, in order to avoid interference, two 2D cameras 8 are used to take auxiliary pictures of the incoming materials from opposite sides to obtain side data to help determine the category.
[0040] In practical use, the three-dimensional vision recognition equipment of this invention is highly efficient, capable of processing materials arriving at any time in a timely manner; at the same time, it also has the advantage of high accuracy, enabling more precise and rapid identification of the type and quantity of incoming materials. Furthermore, it has low reliance on personnel and can perform inventory operations continuously for extended periods.
[0041] The above description of the structure, features, and effects of this utility model is based on the embodiments shown in the drawings. However, the above are only preferred embodiments of this utility model. It should be noted that the technical features involved in the above embodiments and their preferred methods can be reasonably combined and matched by those skilled in the art to form a variety of equivalent solutions without departing from or changing the design concept and technical effects of this utility model. Therefore, this utility model is not limited to the scope of implementation shown in the drawings. Any changes made in accordance with the concept of this utility model, or modifications to equivalent embodiments, that do not exceed the spirit covered by the specification and drawings, should be within the protection scope of this utility model.
Claims
1. A three-dimensional vision recognition device for detecting auxiliary materials entering the warehouse, characterized in that, include: A 3D camera (1), a visual support frame (2), and a 2D camera (8); the visual support frame (2) includes a 3D camera bracket (21) and a 2D camera bracket (22); the 3D camera (1) is mounted on the 3D camera bracket (21), and the 2D camera (8) is mounted on the 2D camera bracket (22); The 3D camera (1) is mounted on the top of the 3D camera bracket (21); the 2D camera bracket (22) includes two parts arranged opposite to each other, and two 2D cameras (8) are respectively mounted on the two parts of the 2D camera bracket (22); It also includes a production line (5), which includes a positioning device for positioning the auxiliary material at a specific position so that the 3D camera (1) and the 2D camera (8) can detect the auxiliary material at a fixed shooting point. Specifically, after the material arrives, the 3D camera on the top of the visual support frame takes a top-down shot of the material, and the two 2D cameras on both sides of the visual support frame take auxiliary shots of the material from opposite sides.
2. The three-dimensional vision recognition device for detecting auxiliary materials entering the warehouse according to claim 1, characterized in that, The visual support frame (2) also includes a reinforcing member (23) and a connecting corner piece (24). The 3D camera bracket (21) is assembled through the connecting corner piece (24), and the reinforcing member (23) is connected to the display frame (3). The 2D camera bracket (22) is connected to the 3D camera bracket (21) through the connecting corner piece (24).
3. The three-dimensional vision recognition device for detecting auxiliary materials entering the warehouse according to claim 1, characterized in that, The 3D camera bracket (21) is equipped with an adjustment device for fine-tuning the position of the 3D camera (1). The adjustment device includes, but is not limited to, at least one of an angle fine-tuning knob and a height adjustment screw.
4. The three-dimensional vision recognition device for detecting auxiliary materials entering the warehouse according to claim 1, characterized in that, It also includes a power distribution cabinet (4) and an industrial control cabinet (6), wherein the cables of the 3D camera (1) and the 2D camera (8) are connected to the industrial control cabinet (6) and draw power from the power distribution cabinet (4).
5. The three-dimensional vision recognition device for detecting auxiliary materials entering the warehouse according to claim 1, characterized in that, The production line (5) is equipped with a conveyor belt and a transmission mechanism, and the conveying speed of auxiliary materials is adjusted by the transmission mechanism according to different production needs.
6. The three-dimensional vision recognition device for detecting auxiliary materials entering the warehouse according to claim 5, characterized in that, It also includes a stacking machine (7), which is connected to the production line (5) through a mechanical structure. The robotic arm of the stacking machine (7) stacks the auxiliary materials on the pallet and marks and records the pallet.