Sample tube barcode and tube type recognition apparatus based on machine vision

Abstract

The utility model relates to sample tube bar code recognition, tube type identification technical field, concretely relates to a sample tube bar code and tube type identification device based on machine vision, including frame, install conveying equipment on the frame, conveying equipment adopts track or conveyer belt, is used for driving sample holder moves, and the sample holder is placed with sample tube, and the one side of conveying equipment is equipped with mounting plate, and the mounting plate is equipped with image acquisition module and visual processing board, is used for gathering sample holder bar code information, sample tube bar code information, sample tube's type and whether have the collection of such information as cap, compares with the mode that only bar code information can be identified of current, the information that gathers is more comprehensive and the cost of equipment is relatively lower, and simultaneously still can improve detection stability.

Description

Technical Field

[0001] This utility model relates to the field of sample tube barcode recognition and tube shape recognition technology, specifically to a sample tube barcode and tube shape recognition device based on machine vision. Background Technology

[0002] Currently, in vitro diagnostic instruments require barcode recognition of sample tubes and sample racks in the sample introduction unit to establish a correspondence between test results and patient information. They also need to identify the type of sample tube in the sample introduction unit to differentiate the sample level detection parameters in the sampling unit. Furthermore, they need to identify whether the sample tube cap is present to trigger alarms for abnormalities in sample tube pretreatment.

[0003] Commonly used implementation schemes include: using a finished product barcode scanner to identify sample tube barcodes and sample rack barcodes; and installing three reflective photoelectric sensors at different heights to provide different detection signals to identify and determine the presence or absence of sample tubes, micro-volume cups, and sample tube caps.

[0004] In the existing technology, barcode recognition of sample tubes and sample racks using finished barcode scanners has the following disadvantages: 1) Finished barcode scanners are expensive;

[0005] 2) The barcode scanners used in finished products have low scanning reliability, especially for reflective barcodes, damaged barcodes, barcodes with narrow bar widths, and tilted barcodes, where the scanning success rate is low.

[0006] 3) Commonly used barcode scanners or key components are imported from abroad, which leads to issues such as production stoppages and reliance on foreign suppliers.

[0007] 4) Barcode scanners from different manufacturers have different electrical and control command requirements. When selecting or changing barcode scanners from different manufacturers, it is necessary to modify the electrical interface and control command logic of the in vitro diagnostic instrument, which results in a long change cycle.

[0008] In existing technologies, multiple reflective photoelectric sensors are installed at different heights to provide different detection signals, which are then used to identify the presence or absence of sample tubes, microcapsules, and sample tube caps. However, this approach has the following drawbacks:

[0009] 1) Multiple reflective photoelectric sensors are required to identify different height states, which is costly;

[0010] 2) Reflective sensors have high requirements for the distance to the object being measured, the background, and the angles of the incident and reflected light. They take a long time to install and debug and have low detection stability.

[0011] 3) Sample tubes and micro-volume cups are semi-transparent objects, and detection is performed by a reflective photoelectric sensor. However, due to the partial transmission and refraction of light, the detection stability is low. Utility Model Content

[0012] To address the aforementioned issues, this invention provides a machine vision-based sample tube barcode and tube shape recognition device that boasts low manufacturing costs and high detection stability.

[0013] To achieve the above objectives, the present invention adopts the following technical solution: a sample tube barcode and tube shape recognition device based on machine vision, comprising a frame, a conveying device in the middle of the frame, a sample rack above the conveying device, a mounting plate on one side of the conveying device, and an image acquisition module and a vision processing board on the mounting plate.

[0014] As a further improvement to the above technical solution:

[0015] The image acquisition module includes a camera and a light source board.

[0016] The light source plate and the mounting plate are detachably connected. The camera is located in the middle of the light source plate, and a ring light source is provided around the light source plate on the outside of the camera.

[0017] The vision processing board is equipped with an interface 1 for connecting to the camera, an interface 2 for connecting to the light source board, and a communication interface for connecting to the host computer.

[0018] The vision processing board is also equipped with a vision processor, a light source driving module, a communication processing module, a program storage module, and a vision model storage module.

[0019] The mounting plate is detachably connected to the frame, and the distance between the mounting plate and the conveying equipment is adjustable.

[0020] The beneficial effects of this utility model embodiment are as follows: The sample tube barcode and tube type recognition device based on machine vision includes a frame, on which a conveying device is installed. The conveying device uses a track or conveyor belt to move the sample rack. Sample tubes are placed on the sample rack. An installation plate is provided on one side of the conveying device. An image acquisition module and a vision processing board are provided on the installation plate to collect information such as sample rack barcode information, sample tube barcode information, sample tube type, and whether there is a tube cap. Compared with the existing method that can only recognize barcode information, the information collected is more comprehensive and the cost of the equipment is relatively low. At the same time, it can also improve the detection stability. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the overall structure of this utility model;

[0022] Figure 2 This is a flowchart of the present invention.

[0023] In the diagram: 1. Frame; 2. Conveying equipment; 3. Sample rack; 4. Mounting plate; 5. Camera; 6. Light source board; 7. Vision processing board; 8. Ring light source; 9. Interface 1; 10. Interface 2; 11. Communication interface; 12. Vision processor; 13. Light source driving module; 14. Communication processing module; 15. Program storage module; 16. Vision model storage module. Detailed Implementation

[0024] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0025] like Figure 1 As shown, the machine vision-based sample tube barcode and tube type recognition device includes a frame 1, on which a conveyor 2 is installed. The conveyor 2 uses a track or conveyor belt to move a sample rack 3. Sample tubes are placed on the sample rack 3. A mounting plate 4 is provided on one side of the conveyor 2. The mounting plate 4 is equipped with an image acquisition module and a vision processing board for acquiring information such as the barcode information of the sample rack 3, the barcode information of the sample tubes, the type of the sample tubes, and whether there are tube caps. Compared with the existing methods that can only identify barcode information, the acquired information is more comprehensive and the detection stability is improved.

[0026] The image acquisition module includes a camera 5 and a light source board 6. The light source board 6 is detachably connected to the mounting plate 4 via bolts. The camera 5 is located in the center of the light source board 6, and a ring light source 8 is installed around the camera 5. The camera includes an image sensor board and a lens. The image sensor has an effective pixel window of 1920H x 1080V, supports a maximum transmission rate of 60fps, a lens focal length of 3.0mm, an aperture of f / 2.0, distortion <10.32%, a horizontal field of view θH of 114 degrees, and a vertical field of view θV of 59 degrees. The distance between the camera 5 and the sample holder 3 is adjustable. The minimum gap must ensure that the complete image of the capped sample tube can be fully captured. The adjustment is achieved by adjusting the position of the mounting plate 4 on the rack. The specific adjustment formula is as follows:

[0027]

[0028] Where Lmin is the minimum distance between camera 5 and sample holder 3, LTUBE is the height of the sample tube with the cap, and θH is the horizontal field of view of the lens of camera 5.

[0029] The working principle / assembly process of this solution is as follows: Figure 2As shown, the camera 5 collects information about the sample rack 3 that passes by and the sample tubes placed on the sample rack 3. The collected information is transmitted to the vision processing board for image processing and then uploaded to the host computer. The vision processing board 7 is equipped with an interface 9 that is connected to the camera 5 via an FPC cable, an interface 10 for connecting to the light source board 8, and a communication interface 11 for connecting to the host computer.

[0030] The vision processing panel 7 is also equipped with:

[0031] The vision processor 12 is a machine vision main control chip that supports ISP and is used to perform image processing, recognition and communication with the host computer on the acquired images.

[0032] The light source driving module 13 is used to control the opening and closing of the ring light source 8 during image acquisition to provide light source illumination;

[0033] The communication processing module 14 is used to communicate with the host computer and upload the recognition results to the host computer through the control protocol;

[0034] The program storage module 15 includes NAND FLASH, which is used to store the system files and program files required for the operation of the vision processor 12;

[0035] The vision model storage module 16 includes a MicroSD card connector and a MicroSD card for storing the machine vision model required by the vision processor.

[0036] After the image is acquired by the image acquisition module, the information is analyzed by the vision processing board, and then the information of the sample rack and sample tube is obtained. All the components used in the whole set of equipment are domestically produced, and the running program is also domestically designed, which has better debugging and replacement space.

[0037] It should be noted that in the description of this utility model, terms such as "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," which indicate direction or positional relationships, are based on the direction or positional relationships shown in the accompanying drawings. These are used merely for ease of description and do not indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this utility model. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0038] Furthermore, it should be noted that, in the description of this utility model, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this utility model according to the specific circumstances.

[0039] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to those processes, articles, or apparatus / devices.

[0040] The technical solution of this utility model has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the protection scope of this utility model is obviously not limited to these specific embodiments. Without departing from the principle of this utility model, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of this utility model.

Claims

1. A sample tube barcode and tube type recognition device based on machine vision, comprising a frame (1), characterized in that: A conveying device (2) is provided in the middle of the frame (1), a sample rack (3) is provided above the conveying device (2), and a mounting plate (4) is provided on one side of the conveying device (2). An image acquisition module and a vision processing board (7) are provided on the mounting plate (4). The image acquisition module includes a camera (5) and a light source plate (6). The light source plate (6) and the mounting plate (4) are detachably connected. The camera (5) is located in the middle of the light source plate (6). The light source plate (6) is surrounded by a ring light source (8) located outside the camera (5).

2. The sample tube barcode and tube type recognition device based on machine vision according to claim 1, characterized in that: The vision processing board (7) is provided with an interface 1 (9) for connecting to the camera (5), an interface 2 (10) for connecting to the light source board (6), and a communication interface (11) for connecting to the host computer.

3. The sample tube barcode and tube type recognition device based on machine vision according to claim 2, characterized in that: The vision processing board (7) is also equipped with a vision processor (12), a light source driving module (13), a communication processing module (14), a program storage module (15), and a vision model storage module (16).

4. The sample tube barcode and tube type recognition device based on machine vision according to claim 1, characterized in that: The mounting plate (4) is detachably connected to the frame (1), and the distance between the mounting plate (4) and the conveying equipment (2) is adjustable.

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