A detection system based on color recognition of multiple body fluid test strips
By employing a layered structural design and a multi-body fluid test strip detection system, the problems of high cost and large subjective error in existing lung disease screening methods have been solved, resulting in improved stability and accuracy, simplified equipment structure, and enhanced system scalability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING YISHAN MEDICAL TECH CO LTD
- Filing Date
- 2026-02-12
- Publication Date
- 2026-05-26
AI Technical Summary
Current methods for screening lung diseases rely on imaging examinations or blood tests, which are costly and difficult to meet the needs of long-term monitoring. Furthermore, manual colorimetric judgment leads to large subjective errors, and the equipment structure is complex and difficult to iterate.
The device adopts a layered structure design, including a body fluid detection device, a host computer processing unit, and a cloud analysis unit, which are responsible for image acquisition, color recognition, and risk assessment, respectively. The consistency of acquisition is improved through a guide structure, a light-shielding cavity, and a fixed imaging design, and the stability of assessment is improved by using trend analysis of multiple detection data.
It achieves stability and objectivity in image acquisition, reduces the impact of ambient light, improves the repeatability of detection results and the accuracy of risk assessment, simplifies the equipment structure, and enhances the system's scalability.
Smart Images
Figure CN122089693A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of in vitro diagnostics and health risk assessment technology, and in particular to a detection system based on multi-body fluid test strip color recognition. The system realizes body fluid test strip image acquisition, color recognition and health risk assessment through a hierarchical structure of body fluid detection device, host computer processing unit and cloud analysis unit. Background Technology
[0002] Lung diseases are characterized by insidious onset and inconspicuous early symptoms. Current screening methods mostly rely on imaging examinations or blood tests, which are costly and cannot meet the needs of long-term, high-frequency health monitoring.
[0003] Colorimetric detection methods based on changes in bodily fluid biochemical indicators offer advantages such as being non-invasive and convenient. However, existing test strip methods typically rely on manual colorimetric analysis to interpret results, which suffers from significant subjective errors and poor repeatability.
[0004] Some detection devices integrate image acquisition, color recognition, and risk analysis functions into the terminal device, resulting in complex device structure, difficulty in algorithm updates, and difficulty in achieving model iteration and integrated analysis of multiple detection data.
[0005] Therefore, it is necessary to provide a detection system with a clear division of labor and reasonable separation of functions to improve the stability of image acquisition and the accuracy of risk assessment. Summary of the Invention
[0006] I. Purpose of the Invention The purpose of this invention is to provide a detection system based on color recognition of multi-body fluid test strips. Through a layered structural design, the system separates image acquisition, color recognition and risk assessment functions, thereby improving detection stability and system scalability. Technical solution
[0007] To achieve the above objectives, the present invention provides a detection system based on multi-body fluid test strip color recognition, comprising: A body fluid detection device, comprising a housing, wherein a test strip insertion area and an imaging acquisition area are provided inside the housing, and the test strip insertion area is provided with a test strip slot for holding body fluid test strips; A camera is installed in the imaging acquisition area to acquire images of the color-developing area of the test strip; The host computer processing unit is communicatively connected to the body fluid detection device. It is used to receive the test strip color image captured by the camera, locate the color development area and extract color features from the image, and generate body fluid detection results and risk classification information. The cloud-based analysis unit is communicatively connected to the host computer processing unit and is used to receive the risk classification information and perform a comprehensive health risk assessment based on a preset analysis model.
[0008] The test strip slot is equipped with a guide structure to limit the insertion direction and posture of the test strip.
[0009] The camera is fixed in position relative to the test strip tray.
[0010] The housing is a closed structure, and the imaging acquisition area forms a light-shielding cavity.
[0011] The host computer processing unit locates the color development area of the test strip and calculates the color parameters.
[0012] The cloud-based analysis unit performs trend analysis on multiple test data from the same subject. Beneficial effects
[0013] Compared with the prior art, the present invention has the following technical effects: (1) Improve image acquisition consistency through the design of guiding structure and fixed imaging structure; (2) By using a light-shielding cavity structure, the impact of ambient light changes on the detection results is reduced; (3) Improve the objectivity and repeatability of detection results through automatic color feature extraction; (4) By using a hierarchical structure design, the image acquisition and risk assessment functions are separated, reducing the complexity of the terminal structure; (5) Improve the stability of risk assessment results by analyzing the trend of multiple test data. Attached Figure Description
[0014] Figure 1 This is a schematic diagram of the overall structure of the detection system of the present invention; Figure 2 This is a schematic diagram of the body fluid detection device; Figure 3 This is a schematic diagram showing the connection of the system's functional modules. Detailed Implementation
[0015] The present invention will be further described below with reference to the accompanying drawings.
[0016] like Figure 1 As shown, the detection system of the present invention includes a body fluid detection device 1, a host computer processing unit 2, and a cloud analysis unit 3.
[0017] like Figure 2 As shown, the body fluid detection device 1 includes a housing 11, inside which a test strip insertion area 12 and an imaging acquisition area 13 are provided, and a test strip slot 121 is provided in the test strip insertion area 12.
[0018] The test paper slot 121 is provided with a guide structure 122 to limit the insertion direction of the test paper.
[0019] A camera 131 is installed in the imaging acquisition area 13, and the position of the camera 131 relative to the test strip slot 121 is fixed.
[0020] The housing 11 forms a light-shielding cavity to reduce the impact of ambient light on image acquisition.
[0021] like Figure 3 As shown, after the camera 131 captures the image of the color development area of the test strip, it transmits the image to the host computer processing unit 2.
[0022] The host computer processing unit 2 locates the color display area and calculates the color parameters of the image, and generates risk classification information.
[0023] Risk classification information is uploaded to cloud analysis unit 3, which combines historical data to perform trend analysis and output risk assessment results.
[0024] Any equivalent substitutions made by those skilled in the art without departing from the spirit of this invention are within the scope of protection of this invention.
Claims
1. A detection system based on color recognition of multiple body fluid test strips, characterized in that, include: A body fluid detection device includes a housing with a test strip slot and a camera fixed inside the housing; The test strip slot is used to hold the body fluid test strip, and the camera is used to capture images of the color development area of the body fluid test strip; The processing unit is communicatively connected to the body fluid detection device and is used to extract features from the colorimetric region image and generate detection results based on the extracted features.
2. The system according to claim 1, characterized in that, The housing is a box-type closed structure, and the imaging acquisition area forms a light-shielding cavity; the position of the camera relative to the test strip slot is fixed, and the shooting distance and shooting angle of the camera remain consistent.
3. The system according to claim 2, characterized in that, The test strip slot is equipped with a mechanical guiding structure to limit the insertion direction and posture of the body fluid test strip, so that the color development area of the body fluid test strip is located in the preset acquisition area of the camera.
4. The system according to claim 1, characterized in that, The test strip slot is a single-slot structure, suitable for inserting any of the following test strips: saliva test strip, condensate test strip, or urine test strip.
5. The system according to claim 1, characterized in that, When the processing unit extracts color features from the color image of the test strip, it includes locating the color display area of the test strip and calculating color parameters; wherein, the color parameters include color component parameters in at least one color space.
6. The system according to claim 1, characterized in that, The processing unit is also used to generate corresponding risk classification information based on the detection results.
7. The system according to any one of claims 1 to 6, characterized in that, It also includes a cloud analysis unit, which is communicatively connected to the processing unit, for receiving the risk classification information, and for comprehensively assessing the relevant health risks of the subjects based on a preset analysis model, and outputting risk assessment results.
8. The system according to claim 7, characterized in that, The cloud-based analysis unit performs trend analysis on risk grading information from multiple tests of the same subject to generate the health risk assessment results.
9. The system according to claim 7, characterized in that, The cloud-based analysis unit supports updating the preset analysis model based on newly added detection data.
10. The system according to claim 1, characterized in that, The body fluid detection device is only used for image acquisition during the detection process; color recognition and risk analysis are performed by the processing unit and the cloud analysis unit, respectively.