A reagent tube position analysis method and system for a reagent kit

The image recognition model is used to automatically verify the position of the reagent tubes in the test kit, solving the problem of low efficiency of manual inspection, realizing efficient recognition and automated operation of the reagent tube positions, and ensuring the accuracy and reliability of the experiment.

CN120411461BActive Publication Date: 2025-09-30NANCHANG QIANMAI MEDICAL LAB CO LTD
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Patent Information

Application Number
CN202510919638.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-07-04
Publication Date
2025-09-30
Estimated Expiration
2045-07-04

AI Technical Summary

Technical Problem

In the existing technology, the position management of reagent tubes in the test kit relies on manual visual inspection, which is prone to missed detection or false detection due to human factors and cannot adapt to large-scale, high-intensity testing needs.

Method used

An image recognition model is used to automatically acquire images of reagent tubes in the test kit, and position verification is performed using a preset two-dimensional coordinate system and a standard reagent tube position table. The positions of the reagent tubes are identified and verified, and abnormal reagent tubes are discovered and their positions are predicted.

Benefits of technology

It achieves efficient identification and automated operation of reagent tube positions, avoids contamination and confusion of experimental steps caused by misplacement of reagent tubes, and improves the reliability and repeatability of experimental results.

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Abstract

The present invention discloses a reagent tube position analysis method and system for a reagent test kit, the method comprising: inputting a reagent tube image into a preset image recognition model, outputting each target reagent tube image containing a marking frame, and determining the reagent tube position information of each reagent tube in each target reagent tube image according to a preset two-dimensional coordinate system; according to a reagent tube standard position table, using a preset position verification rule to verify the reagent tube position information of each reagent tube in each target reagent tube image, and judging whether each reagent tube in each target reagent tube image meets the preset requirements; if at least one reagent tube does not meet the preset requirements, defining at least one reagent tube as an abnormal reagent tube, and predicting the reagent tube position information of each abnormal reagent tube according to a preset position generation strategy. Marking can be carried out in a timely manner and its possible position can be predicted, effectively avoiding problems such as reagent contamination and confusion of experimental steps caused by reagent tube misalignment.
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Description

Technical Field

[0001] The present invention belongs to the technical field of reagent tube image recognition, and in particular relates to a reagent tube position analysis method and system for a reagent kit. Background Art

[0002] In many fields such as biomedicine, chemical analysis, and clinical testing, test kits are key tools for storing and transporting reagents, and the correct placement and position management of the reagent tubes inside them are crucial. The accuracy of the position of the reagent tubes is directly related to the convenience of subsequent experimental operations, the reliability of experimental results, and the efficiency of detection. For example, in an automated experimental process, a robotic arm needs to accurately grasp the reagent tubes for operations such as adding samples and pipetting. If the position of the reagent tubes deviates, it may cause the robotic arm to fail to grasp, reagent contamination, or confusion in experimental steps, thus affecting the smooth progress of the entire experimental process.

[0003] Currently, traditional methods for managing the position of reagent tubes in test kits rely primarily on manual visual inspection or simple mechanical positioning devices. Manual visual inspection is not only inefficient and prone to missed or false detections due to human factors (such as fatigue and negligence), but it also cannot adapt to the large-scale, high-intensity testing needs. Summary of the Invention

[0004] The present invention provides a reagent tube position analysis method and system for a reagent kit, which are used to solve the technical problem of missed detection or false detection easily caused by human factors (such as fatigue and negligence).

[0005] In a first aspect, the present invention provides a method for analyzing the position of a reagent tube in a reagent kit, comprising:

[0006] Acquire images of reagent tubes at different positions of the reagent kit located at the detection position, wherein the images of the reagent tubes include the grooves of the reagent kit and the reagent tubes in the grooves;

[0007] Inputting each reagent tube image into a preset image recognition model, the image recognition model outputs each target reagent tube image containing a marked box, and determining the reagent tube position information of each reagent tube in each target reagent tube image according to a preset two-dimensional coordinate system;

[0008] According to a pre-constructed reagent tube standard position table, the reagent tube position information of each reagent tube in each target reagent tube image is verified using a preset position verification rule, and based on the verification result, it is determined whether each reagent tube in each target reagent tube image meets a preset requirement, wherein the preset requirement is that the reagent tube position information is the same as the reagent tube standard position information in the reagent tube standard position table;

[0009] If at least one reagent tube does not meet the preset requirements, the at least one reagent tube is defined as an abnormal reagent tube, and the reagent tube position information of each abnormal reagent tube is predicted according to the preset position generation strategy to obtain each predicted position information.

[0010] In a second aspect, the present invention provides a reagent tube position analysis system for a reagent kit, comprising:

[0011] an acquisition module configured to acquire images of reagent tubes at different positions of the reagent kit located at the detection position, wherein the images of the reagent tubes include the grooves of the reagent kit and the reagent tubes in the grooves;

[0012] an output module configured to input each reagent tube image into a preset image recognition model, the image recognition model outputting each target reagent tube image including a marked frame, and determining the reagent tube position information of each reagent tube in each target reagent tube image according to a preset two-dimensional coordinate system;

[0013] a judgment module configured to verify the reagent tube position information of each reagent tube in each target reagent tube image using a preset position verification rule according to a pre-constructed reagent tube standard position table, and determine whether each reagent tube in each target reagent tube image meets a preset requirement based on the verification result, wherein the preset requirement is that the reagent tube position information is the same as the reagent tube standard position information in the reagent tube standard position table;

[0014] The prediction module is configured to define at least one reagent tube as an abnormal reagent tube if the at least one reagent tube does not meet the preset requirements, and predict the reagent tube position information of each abnormal reagent tube according to the preset position generation strategy to obtain each predicted position information.

[0015] In a third aspect, an electronic device is provided, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the steps of the reagent tube position analysis method for a test kit according to any embodiment of the present invention.

[0016] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor executes the steps of the reagent tube position analysis method for a reagent kit according to any embodiment of the present invention.

[0017] The reagent tube position analysis method and system for the reagent kit of the present application uses an image recognition model to automatically acquire and analyze the reagent tube image, quickly determine the reagent tube position information, and greatly shorten the position detection time compared to traditional manual visual inspection, thereby realizing efficient identification of the reagent tube position. At the same time, the method can be seamlessly connected with automated experimental equipment (such as a robotic arm), providing accurate position guidance for subsequent automated operations, significantly improving the automation level of the entire detection process, and enabling large-scale, high-intensity detection tasks to be completed efficiently. Moreover, by constructing a two-dimensional coordinate system and performing position verification based on a preset reagent tube standard position table, the present solution can accurately determine whether the reagent tube position meets the requirements. Once an abnormal reagent tube is found, it can be marked and its possible position predicted in a timely manner, effectively avoiding problems such as reagent contamination and confusion of experimental steps caused by reagent tube misalignment, thereby ensuring the accuracy of experimental operations from the source, and thereby improving the reliability and repeatability of experimental results. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0019] Figure 1 A flow chart of a method for analyzing the position of a reagent tube in a reagent kit provided in one embodiment of the present invention;

[0020] Figure 2 A structural block diagram of a reagent tube position analysis system for a reagent kit provided by one embodiment of the present invention;

[0021] Figure 3 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0023] See also Figure 1 , which shows a flow chart of a reagent tube position analysis method for a reagent kit of the present application.

[0024] like Figure 1As shown, the reagent tube position analysis method for the kit specifically includes the following steps:

[0025] Step S101: Acquire images of reagent tubes at different positions of a reagent kit located at a detection position, wherein the reagent tube images include a groove of the reagent kit and a reagent tube in the groove.

[0026] In step S102, each reagent tube image is input into a preset image recognition model. The image recognition model outputs each target reagent tube image including a marking box, and determines the reagent tube position information of each reagent tube in each target reagent tube image according to a preset two-dimensional coordinate system.

[0027] In this step, a reagent tube image is input into the image recognition model, and the image recognition model marks the reagent tube label and the groove in the reagent tube image to obtain a first marking frame containing the reagent tube label and a second marking frame containing the groove, wherein the reagent tube image is any reagent tube image in each reagent tube image; the image recognition model outputs a target reagent tube image containing each first marking frame and each second marking frame, wherein the reagent tube label is located on the reagent tube; a two-dimensional coordinate system is constructed, and the first coordinate position of each first marking frame and the second coordinate position of each second marking frame in a target reagent tube image are determined according to the two-dimensional coordinate system, wherein the vertex of a target reagent tube image coincides with the origin of the two-dimensional coordinate system, and the edge line of a reagent tube image is aligned with the axis of the two-dimensional coordinate system; a first marking frame and a second target marking frame with the shortest distance between them are associated, and the first coordinate position in a first marking frame is defined as the reagent tube position information of the reagent tube where a second target marking frame is located.

[0028] It should be noted that the image recognition model can be obtained by training a neural network through training samples and annotation boxes that annotate the training samples.

[0029] Step S103, based on the pre-constructed reagent tube standard position table, the preset position verification rules are used to verify the reagent tube position information of each reagent tube in the each target reagent tube image, and based on the verification results, it is determined whether each reagent tube in the each target reagent tube image meets the preset requirements, and the preset requirements are: the reagent tube position information is the same as the reagent tube standard position information in the reagent tube standard position table.

[0030] In this step, the reagent tube position information of each reagent tube in a certain target reagent tube image is compared with the reagent tube standard position information in the reagent tube standard position table; if the comparison result of the reagent tube position information of at least one reagent tube is consistent with the reagent tube standard position information in the reagent tube standard position table, the at least one reagent tube is positioned as a standard reagent tube, and the groove where the standard reagent tube is located is defined as a standard groove; according to the sorting position of the standard groove in the certain target reagent tube image, the standard groove is determined in another target reagent tube image, and the reagent tube position information of other reagent tubes in the other target reagent tube image is compared with the reagent tube standard position information in the reagent tube standard position table, wherein the other reagent tubes are the reagent tubes in the other target reagent tube image excluding the standard reagent tube in the standard groove.

[0031] In a specific embodiment, after determining whether each reagent tube in each target reagent tube image meets the preset requirements based on the verification results, if each reagent tube in each target reagent tube image meets the preset requirements, the reagent tube position information of each reagent tube is directly uploaded.

[0032] Step S104: If at least one reagent tube does not meet the preset requirements, the at least one reagent tube is defined as an abnormal reagent tube, and the reagent tube position information of each abnormal reagent tube is predicted according to the preset position generation strategy to obtain each predicted position information.

[0033] In this step, each abnormal reagent tube in the same target reagent tube image is divided into the same abnormal reagent tube set to obtain an abnormal reagent tube set corresponding to each target reagent tube image; an abnormal reagent tube set with the smallest number of abnormal reagent tubes is selected from each abnormal reagent tube set and defined as a target abnormal reagent tube set; it is determined whether the number of abnormal reagent tubes in the target abnormal reagent tube set is greater than a preset threshold; if it is not greater than the preset threshold, the reagent tube position information of the abnormal reagent tubes in the target abnormal reagent tube set is directly defined as the predicted position information; if it is greater than the preset threshold, the reagent tube position information of each abnormal reagent tube in the target reagent tube image corresponding to the target abnormal reagent tube set is arbitrarily combined to generate at least one predicted position information combination for each abnormal reagent tube.

[0034] In summary, the method of the present application uses an image recognition model to automatically acquire and analyze reagent tube images and quickly determine the position information of the reagent tubes. Compared with traditional manual visual inspection, it greatly shortens the position detection time and realizes efficient identification of the position of the reagent tubes. At the same time, this method can be seamlessly connected with automated experimental equipment (such as a robotic arm) to provide accurate position guidance for subsequent automated operations, significantly improving the automation level of the entire detection process, enabling large-scale, high-intensity detection tasks to be completed efficiently, and by constructing a two-dimensional coordinate system and performing position verification based on a preset reagent tube standard position table, this solution can accurately determine whether the position of the reagent tube meets the requirements. Once an abnormal reagent tube is found, it can be marked and its possible position predicted in time, effectively avoiding problems such as reagent contamination and confusion of experimental steps caused by misplacement of the reagent tube, ensuring the accuracy of the experimental operation from the source, and thus improving the reliability and repeatability of the experimental results.

[0035] Real-time monitoring and abnormal warning: This solution can monitor the position of the reagent tubes in the test kit in real time. Once an abnormal position of the reagent tube is detected, the warning mechanism is immediately triggered and the predicted position information is generated. This real-time feedback mechanism enables operators to take corrective measures in time to avoid subsequent problems caused by reagent tube misplacement, further improving the safety and stability of the experimental process.

[0036] See also Figure 2 , which shows a structural block diagram of a reagent tube position analysis system for a reagent kit of the present application.

[0037] like Figure 2 As shown, the reagent tube position analysis system 200 includes an acquisition module 210, an output module 220, a judgment module 230 and a prediction module 240.

[0038] Among them, the acquisition module 210 is configured to acquire reagent tube images at different positions of the reagent kit located at the detection position, wherein the reagent tube images include the groove of the reagent kit and the reagent tubes in the groove; the output module 220 is configured to input each reagent tube image into a preset image recognition model, the image recognition model outputs each target reagent tube image including a marked box, and determines the reagent tube position information of each reagent tube in each target reagent tube image according to a preset two-dimensional coordinate system; the judgment module 230 is configured to verify the reagent tube position information of each reagent tube in each target reagent tube image according to a pre-constructed reagent tube standard position table using a preset position verification rule, and determine whether each reagent tube in each target reagent tube image meets the preset requirements based on the verification result, wherein the preset requirement is that the reagent tube position information is the same as the reagent tube standard position information in the reagent tube standard position table; the prediction module 240 is configured to define at least one reagent tube as an abnormal reagent tube if it does not meet the preset requirements, and predict the reagent tube position information of each abnormal reagent tube according to a preset position generation strategy to obtain each predicted position information.

[0039] It should be understood that Figure 2 Modules and references documented in Figure 1 Therefore, the operations and features described above for the method and the corresponding technical effects also apply to Figure 2 The modules in it will not be described in detail here.

[0040] In other embodiments, embodiments of the present invention further provide a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor is caused to execute the reagent tube position analysis method for a reagent kit in any of the above method embodiments;

[0041] As an embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions, and the computer-executable instructions are configured as follows:

[0042] Acquire images of reagent tubes at different positions of the reagent kit located at the detection position, wherein the images of the reagent tubes include the grooves of the reagent kit and the reagent tubes in the grooves;

[0043] Inputting each reagent tube image into a preset image recognition model, the image recognition model outputs each target reagent tube image containing a marked box, and determining the reagent tube position information of each reagent tube in each target reagent tube image according to a preset two-dimensional coordinate system;

[0044] According to a pre-constructed reagent tube standard position table, the reagent tube position information of each reagent tube in each target reagent tube image is verified using a preset position verification rule, and based on the verification result, it is determined whether each reagent tube in each target reagent tube image meets a preset requirement, wherein the preset requirement is that the reagent tube position information is the same as the reagent tube standard position information in the reagent tube standard position table;

[0045] If at least one reagent tube does not meet the preset requirements, the at least one reagent tube is defined as an abnormal reagent tube, and the reagent tube position information of each abnormal reagent tube is predicted according to the preset position generation strategy to obtain each predicted position information.

[0046] The computer readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, the application required for at least one function; the storage data area may store data created according to the use of the reagent tube position analysis system for test kit, etc. In addition, the computer readable storage medium may include a high-speed random access memory, and may also include a memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state memory devices. In certain embodiments, the computer readable storage medium may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the reagent tube position analysis system for test kit via a network. Examples of the above-mentioned network include, but are not limited to, the internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0047] Figure 3 Schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, the device includes: a processor 310 and a memory 320. The electronic device may also include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330 and the output device 340 may be connected via a bus or other means. Figure 3 The example of the bus connection is taken as an example. The memory 320 is the computer-readable storage medium mentioned above. The processor 310 executes various functional applications and data processing of the server by running the non-volatile software programs, instructions and modules stored in the memory 320, that is, implements the reagent tube position analysis method for the test kit of the above method embodiment. The input device 330 can receive input digital or character information, and generate key signal input related to user settings and function control of the reagent tube position analysis system for the test kit. The output device 340 may include a display device such as a display screen.

[0048] The electronic device can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not fully described in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0049] As an embodiment, the electronic device is applied to a reagent tube position analysis system for a reagent kit, and is used for a client, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to:

[0050] Acquire images of reagent tubes at different positions of the reagent kit located at the detection position, wherein the images of the reagent tubes include the grooves of the reagent kit and the reagent tubes in the grooves;

[0051] Inputting each reagent tube image into a preset image recognition model, the image recognition model outputs each target reagent tube image containing a marked box, and determining the reagent tube position information of each reagent tube in each target reagent tube image according to a preset two-dimensional coordinate system;

[0052] According to a pre-constructed reagent tube standard position table, the reagent tube position information of each reagent tube in each target reagent tube image is verified using a preset position verification rule, and based on the verification result, it is determined whether each reagent tube in each target reagent tube image meets a preset requirement, wherein the preset requirement is that the reagent tube position information is the same as the reagent tube standard position information in the reagent tube standard position table;

[0053] If at least one reagent tube does not meet the preset requirements, the at least one reagent tube is defined as an abnormal reagent tube, and the reagent tube position information of each abnormal reagent tube is predicted according to the preset position generation strategy to obtain each predicted position information.

[0054] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods of each embodiment or certain portions of the embodiments.

[0055] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for analyzing the position of a reagent tube in a reagent kit, characterized in that: include: Acquire images of reagent tubes at different positions of the reagent kit located at the detection position, wherein the images of the reagent tubes include the grooves of the reagent kit and the reagent tubes in the grooves; Inputting each reagent tube image into a preset image recognition model, the image recognition model outputting each target reagent tube image including a marking frame, and determining the reagent tube position information of each reagent tube in each target reagent tube image according to a preset two-dimensional coordinate system, wherein inputting each reagent tube image into a preset image recognition model, the image recognition model outputting each target reagent tube image including a marking frame, and determining the reagent tube position information of each reagent tube in each target reagent tube image according to a preset two-dimensional coordinate system includes: Inputting a reagent tube image into the image recognition model, the image recognition model annotating the reagent tube label and the groove in the reagent tube image to obtain a first annotated frame including the reagent tube label and a second annotated frame including the groove, wherein the reagent tube image is any one of the reagent tube images; The image recognition model outputs a target reagent tube image including each first annotation box and each second annotation box, wherein the reagent tube label is located on the reagent tube; Constructing a two-dimensional coordinate system, and determining, based on the two-dimensional coordinate system, a first coordinate position of each first annotation box and a second coordinate position of each second annotation box in the target reagent tube image, wherein a vertex of the target reagent tube image coincides with an origin of the two-dimensional coordinate system, and an edge line of the reagent tube image is aligned with an axis of the two-dimensional coordinate system; Associating a first annotation frame with the shortest distance between them and a second target annotation frame, and defining the first coordinate position of the first annotation frame as the reagent tube position information of the reagent tube where the second target annotation frame is located; According to a pre-constructed reagent tube standard position table, the reagent tube position information of each reagent tube in each target reagent tube image is verified using a preset position verification rule, and based on the verification result, it is determined whether each reagent tube in each target reagent tube image meets a preset requirement, wherein the preset requirement is that the reagent tube position information is the same as the reagent tube standard position information in the reagent tube standard position table; If at least one reagent tube does not meet the preset requirements, the at least one reagent tube is defined as an abnormal reagent tube, and the reagent tube position information of each abnormal reagent tube is predicted according to the preset position generation strategy to obtain each predicted position information, wherein the reagent tube position information of each abnormal reagent tube is predicted according to the preset position generation strategy to obtain each predicted position information includes: Classify each abnormal reagent tube in the same target reagent tube image into the same abnormal reagent tube set, and obtain an abnormal reagent tube set corresponding to each target reagent tube image; Selecting an abnormal reagent tube set with the smallest number of abnormal reagent tubes from each abnormal reagent tube set and defining it as a target abnormal reagent tube set; Determine whether the number of abnormal reagent tubes in the target abnormal reagent tube set is greater than a preset threshold; If it is not greater than the preset threshold, the reagent tube position information of the abnormal reagent tube in the target abnormal reagent tube set is directly defined as the predicted position information; If it is greater than a preset threshold, the reagent tube position information of each abnormal reagent tube in the target reagent tube image corresponding to the target abnormal reagent tube set is arbitrarily combined to generate at least one predicted position information combination of each abnormal reagent tube.

2. A method for analyzing the position of a reagent tube in a reagent kit according to claim 1, characterized in that: The step of verifying the reagent tube position information of each reagent tube in each target reagent tube image using a preset position verification rule according to the pre-constructed reagent tube standard position table includes: Comparing the reagent tube position information of each reagent tube in a target reagent tube image with the reagent tube standard position information in the reagent tube standard position table; If the reagent tube position information of at least one reagent tube is consistent with the reagent tube standard position information in the reagent tube standard position table, the at least one reagent tube is positioned as a standard reagent tube, and the groove where the standard reagent tube is located is defined as a standard groove; The standard groove is determined in another target reagent tube image according to the sorting position of the standard groove in the target reagent tube image, and the reagent tube position information of other reagent tubes in the other target reagent tube image is compared with the reagent tube standard position information in the reagent tube standard position table, wherein the other reagent tubes are the reagent tubes in the other target reagent tube image excluding the standard reagent tubes in the standard groove.

3. A reagent tube position analysis method for a reagent kit according to claim 1, characterized in that: After determining whether each reagent tube in each target reagent tube image meets preset requirements according to the verification result, the method further includes: If each reagent tube in each target reagent tube image meets the preset requirements, the reagent tube position information of each reagent tube is directly uploaded.

4. A reagent tube position analysis system for a reagent kit, characterized in that: include: an acquisition module configured to acquire images of reagent tubes at different positions of the reagent kit located at the detection position, wherein the images of the reagent tubes include the grooves of the reagent kit and the reagent tubes in the grooves; An output module is configured to input each reagent tube image into a preset image recognition model, the image recognition model outputs each target reagent tube image including a marked frame, and determines the reagent tube position information of each reagent tube in each target reagent tube image according to a preset two-dimensional coordinate system, wherein the inputting each reagent tube image into the preset image recognition model, the image recognition model outputs each target reagent tube image including a marked frame, and determines the reagent tube position information of each reagent tube in each target reagent tube image according to a preset two-dimensional coordinate system includes: Inputting a reagent tube image into the image recognition model, the image recognition model annotating the reagent tube label and the groove in the reagent tube image to obtain a first annotated frame including the reagent tube label and a second annotated frame including the groove, wherein the reagent tube image is any one of the reagent tube images; The image recognition model outputs a target reagent tube image including each first annotation box and each second annotation box, wherein the reagent tube label is located on the reagent tube; Constructing a two-dimensional coordinate system, and determining, based on the two-dimensional coordinate system, a first coordinate position of each first annotation box and a second coordinate position of each second annotation box in the target reagent tube image, wherein a vertex of the target reagent tube image coincides with an origin of the two-dimensional coordinate system, and an edge line of the reagent tube image is aligned with an axis of the two-dimensional coordinate system; Associating a first annotation frame with the shortest distance between them and a second target annotation frame, and defining the first coordinate position of the first annotation frame as the reagent tube position information of the reagent tube where the second target annotation frame is located; a judgment module configured to verify the reagent tube position information of each reagent tube in each target reagent tube image using a preset position verification rule according to a pre-constructed reagent tube standard position table, and determine whether each reagent tube in each target reagent tube image meets a preset requirement based on the verification result, wherein the preset requirement is that the reagent tube position information is the same as the reagent tube standard position information in the reagent tube standard position table; The prediction module is configured to define at least one reagent tube as an abnormal reagent tube if the at least one reagent tube does not meet the preset requirements, and predict the reagent tube position information of each abnormal reagent tube according to a preset position generation strategy to obtain each predicted position information, wherein the predicting the reagent tube position information of each abnormal reagent tube according to the preset position generation strategy to obtain each predicted position information includes: Classify each abnormal reagent tube in the same target reagent tube image into the same abnormal reagent tube set, and obtain an abnormal reagent tube set corresponding to each target reagent tube image; Selecting an abnormal reagent tube set with the smallest number of abnormal reagent tubes from each abnormal reagent tube set and defining it as a target abnormal reagent tube set; Determine whether the number of abnormal reagent tubes in the target abnormal reagent tube set is greater than a preset threshold; If it is not greater than the preset threshold, the reagent tube position information of the abnormal reagent tube in the target abnormal reagent tube set is directly defined as the predicted position information; If it is greater than a preset threshold, the reagent tube position information of each abnormal reagent tube in the target reagent tube image corresponding to the target abnormal reagent tube set is arbitrarily combined to generate at least one predicted position information combination of each abnormal reagent tube.

5. An electronic device, characterized in that: include: At least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 3 is implemented.