Hand cleaning effect evaluation system

Abstract

The invention relates to a hand cleaning effect evaluation system and method, and the method comprises the steps: coating a hand with a safe tracing gel capable of exciting fluorescence, respectively shooting a natural light image and a blue light development image in a closed lamp box, carrying out the segmentation and statistics of a hand contour and a fluorescence region through image processing software, and calculating the proportion of a fluorescence residual area, thereby achieving the evaluation of the hand cleaning effect. Therefore, the hand-washing effect is quantitatively evaluated. The system is compact in structure, easy and convenient to operate, suitable for daily health education and self-detection of teenagers, capable of providing visual and visual cleaning feedback results and high in repeatability and field application value.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of medical and health technology, and in particular relates to a hand cleaning effect evaluation system. BACKGROUND

[0002] Good hand cleaning habits are the key to preventing the spread of bacteria and cross-infection of infectious diseases, especially in schools, hospitals and public places. The current commonly used hand washing effect evaluation methods include subjective observation method, ATP fluorescence detection method and microbial culture method, etc., but these methods either rely on expensive instruments and are complex to operate, or cannot provide intuitive feedback, making it difficult to be widely promoted among the youth group. In recent years, some fluorescent tracer products have been introduced into school health education, and the "residual stains" after washing hands are observed through fluorescence imaging, but there is still a lack of effective quantitative analysis means. How to build a hand cleaning evaluation system that is intuitive, quantifiable and suitable for low-age user operation has become a problem that needs to be solved in current school health education. Therefore, a portable evaluation method combining fluorescence imaging, image processing and structure control is proposed, which has important practical value and promotion prospects.

[0003] After consulting relevant public technologies, the technical solutions with publication numbers CN108170022A, CN212206171U and CN202822189U all propose devices for cleaning and disinfecting body parts and corresponding detection equipment, but these methods are costly for popular science display purposes and cannot make intuitive and clear display, and currently there are few related technical solutions mentioned.

[0004] The foregoing discussion of the background art is intended only to facilitate an understanding of the present application. It is not admitted that any of the materials referred to in this discussion are part of the common general knowledge of the person skilled in the art. SUMMARY

[0005] The present application aims to provide a hand cleaning effect evaluation system and method, which applies a safe tracer gel that can excite fluorescence to the hands, takes natural light images and blue light imaging images in a closed light box, and separates and counts the hand contour and fluorescent area through image processing software to calculate the fluorescent residual area ratio, thereby quantitatively evaluating the hand washing effect. The system has a compact structure and is easy to operate, is suitable for daily health education and self-detection of young people, can provide intuitive and visual cleaning feedback results, and has high repeatability and on-site application value.

[0006] The present application adopts the following technical solution: a hand cleaning effect evaluation system, the evaluation system comprising:

[0007] The lamp box is a cuboid structure, five internal surfaces are closed, and the remaining one side is open; the lamp box is internally provided with a blue light LED lighting assembly and a natural light LED lighting assembly for illuminating hands; the top of the lamp box is provided with a shooting window for fixing a smart phone, which is used for shooting images of hands under natural light and blue light conditions;

[0008] The client is installed on an electronic device; the electronic device is configured to collect hand images of a user and process the hand images; wherein the image processing includes calculating the area ratio of the fluorescent region to the hand region by an image segmentation algorithm to evaluate the degree of residual microorganisms after washing hands.

[0009] Preferably, the blue light LED lighting assembly has a wavelength of 450 nm and an irradiation intensity of 2 W, and is provided with a diffusion sheet to improve irradiation uniformity.

[0010] Preferably, the bottom of the lamp box is provided with a hand placement positioning area for limiting the position and posture of the hand during shooting to ensure the consistency of image acquisition.

[0011] Preferably, the image processing software module includes image scaling, color gamut conversion, brightness adjustment and pixel statistical processing steps, and the number of pixels with brightness exceeding the threshold is counted to evaluate the residual fluorescent area by setting the brightness threshold.

[0012] Further, a hand cleaning effect evaluation method is provided, which is applied to the hand cleaning effect evaluation system; the evaluation method includes the following steps:

[0013] S100: Apply a safe tracer gel that can excite fluorescence to the surface of the hand, and clean according to a preset hand washing method;

[0014] S200: Place the hand in a closed lamp box according to a fixed posture, and shoot two images under natural light and blue light illumination conditions, respectively; the blue light has a wavelength of 450 nm and is used to excite the residual fluorescent region;

[0015] S300: Process the natural light image to obtain the overall contour region of the hand; perform brightness enhancement and color gamut conversion processing on the blue light image to identify and extract the fluorescent imaging region;

[0016] S400: Calculate the pixel area ratio of the fluorescent region to the overall hand region, and evaluate the degree of hand cleaning residue based on the ratio.

[0017] The beneficial effects obtained by the present application are:

[0018] 1. The whole evaluation process of the technical solution does not need complex experimental equipment, and can be completed by smearing fluorescent gel, fixing a light box, taking a picture and processing the image by a mobile phone, which is suitable for middle and primary school students to operate independently in a school environment, and has good teaching adaptability and popularization.

[0019] 2. The technical solution combines fluorescent imaging after blue light excitation with image pixel analysis, can not only clearly visualize the residual parts of hand washing, but also present the cleaning degree in the form of numerical value of fluorescent area ratio, and overcome the limitation of traditional subjective observation.

[0020] 3. The hand positioning area and fixed shooting distance in the design of the light box of the technical solution ensure the consistency of image acquisition, the image algorithm has anti-interference ability, can stably reflect the actual residual situation after hand washing, and ensures the comparability of each detection result. BRIEF DESCRIPTION OF DRAWINGS

[0021] The present application can be further understood from the following description in conjunction with the accompanying drawings. The components in the drawings are not necessarily drawn to scale, but emphasis is placed on showing the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0022] Explanation of reference numerals: 10 - light box; 20 - mobile phone placing groove; 30 - hand positioning area; 40 - lighting assembly

[0023] Figure 1 is a schematic diagram of the evaluation system described in the present application;

[0024] Figure 2 is a front view of the evaluation system described in the present application. DETAILED DESCRIPTION

[0025] In order to make the purpose technical solution and advantages of the present application more clear and explicit, the present application will be further described in detail below in combination with its embodiments; it should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application. For those skilled in the art, other systems, methods and / or features of the embodiments will become apparent after reading the following detailed description. All such additional systems, methods, features and advantages are intended to be included within the scope of the present application. Included within the scope of the present application, and protected by the appended claims. Additional features of the disclosed embodiments are described in the following detailed description, and will be apparent from the following detailed description.

[0026] The same or similar reference numerals in the drawings of the embodiments of the present application correspond to the same or similar components; in the description of the present application, it is understood that if the orientations or positional relationships indicated by the terms "upper", "lower", "left", "right" and the like are based on the orientations or positional relationships shown in the drawings, they are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or components referred to must have a particular orientation. The orientation and operation are constructed in a particular orientation, and therefore the terms describing the positional relationship in the drawings are only used for exemplary illustration, and cannot be understood as a limitation on the present patent. For those of ordinary skill in the art, the specific meanings of the above terms can be understood according to the specific circumstances.

[0027] Embodiment one: Exemplarily, the present embodiment provides a hand cleaning effect evaluation system, which is designed to realize quantitative evaluation of hand washing degree through image acquisition and processing.

[0028] The evaluation system includes a foldable and detachable light box and an image processing client installed on various electronic devices.

[0029] As shown in the accompanying Figure 1 and the accompanying Figure 2 , a structure scheme of the light box 10 in an exemplary embodiment is shown. The light box 10 is a semi-closed structure, and the whole is a cuboid structure. In an exemplary embodiment, the effective cavity size of the light box 10 is 200 mm long x 150 mm wide x 220 mm high. The five surfaces (top, bottom, left and right sides, and rear) of the light box 10 are closed structures, and the front has an open port for placing a hand. Preferably, the light box 10 is made of lightweight PVC material and is fixed by screw and slot structure, which is convenient for disassembly and carrying.

[0030] Exemplarily, a rectangular opening is provided at the center of the top of the light box 10, which is a mobile phone placing slot 20 for installing a smart phone for image acquisition. The mobile phone placing slot 20 is provided with a frame and an anti-skid rubber strip around it to fix the lens of different models of mobile phones in the center of the cavity. Exemplarily, a shooting window is provided in the mobile phone placing slot 20, which is directly opposite to the hand positioning area 30 below. Exemplarily, the size of the shooting window is 80 mm x 50 mm, which can cover most of the rear camera area of the smart phone.

[0031] To realize image acquisition under different lighting conditions, two lighting components 40 are provided inside the light box, which are natural light LED lighting ring and blue light LED lighting ring respectively. The natural light LED component is arranged at the top four corners, with a color temperature of about 5500K, mainly used for collecting hand shape images; the blue light LED component is arranged inside the light box 10, relative to the outer edge of the mobile phone placing groove 20. The blue light LED component can emit blue-violet light with a wavelength of 450nm, with a working power of 2W-5W, and is equipped with a frosted diffusion plate to ensure uniform blue light irradiation on the entire palm surface. The two LED components are respectively controlled by external buttons, and users can manually switch the lighting mode according to the steps.

[0032] Further, a hand positioning area 30 is provided at the bottom of the light box, which is used to help users place their hands in a consistent posture during the shooting process. The positioning area is realized by a shallow engraved palm contour, which is suitable for general adolescent hand shapes, and the wrist position is limited by the protrusions at the bottom, effectively reducing the image acquisition error.

[0033] After the image acquisition is completed, the evaluation system processes and analyzes the results through the client application installed on the smart phone. The processing flow is as follows:

[0034] Firstly, the user evenly applies food-grade safe fluorescent gel to the surface of the hand, and completes the cleaning process according to the specified hand washing method. Among them, the fluorescent gel can be designed in a small independent package or in a coating type to facilitate quantitative use.

[0035] After cleaning, place the hand flat on the positioning area at the bottom of the light box, turn off the front light source, turn on the natural light LED at the top, and use the mobile phone to take the first image from the top window, recording the complete contour of the hand.

[0036] Then turn off the natural light source, turn on the blue light LED, and take the second image from the top again, at which time the residual fluorescent area will appear in the image.

[0037] The client imports the two images into the image processing module respectively. The natural light image is used for image segmentation to extract the complete contour of the hand; the blue light image is processed through color gamut conversion, brightness enhancement and other steps to highlight the fluorescent area.

[0038] The system calculates the number of highlighted pixels by a preset threshold (such as brightness > 180), and calculates the proportion with the total number of palm pixels, and finally obtains the "fluorescent area ratio".

[0039] The client compares the ratio with the preset standard to judge the hand washing effect level, and generates a visual report (such as bar chart, radar chart, etc.) to feedback to the user.

[0040] In an exemplary embodiment, the specific processing steps of the blue light image include:

[0041] (1)Import image: Open the hand image taken under blue light, make sure it is a clear orthographic projection, and the hand is in the center of the image.

[0042] (2)Image cropping and scaling: Crop the image to keep only the area under the light box, and remove the extra background. Scale the image to a fixed pixel size, such as 800x600, for standardized processing.

[0043] (3)Brightness enhancement: Enhance the brightness of the entire image. For example, use the "Image> Adjust> Brightness / Contrast" function in the processing software, and increase the brightness by +40 to +60, to make the fluorescent area more prominent.

[0044] (4)Contrast adjustment: Increase the image contrast (e.g., +30 to +50) to further enhance the difference between the fluorescent and background areas, and improve the edge definition.

[0045] (5)Color space conversion: Convert the image from RGB space to HSV or LAB color space using Channel Separation / HSV or LAB conversion. The fluorescent area is often concentrated in the V (lightness) or L (brightness) channel, so you can extract the image of this channel alone.

[0046] (6)Image filtering: Use median filtering or Gaussian filtering to smooth the brightness channel (e.g., 3x3 Gaussian blur), remove random noise, and avoid misjudging small bright spots as fluorescent signals.

[0047] (7)Threshold segmentation: Set a brightness threshold, such as a grayscale value >180, to binarize the fluorescent area to white (value = 1) and the rest of the area to black (value = 0). You can use the Otsu adaptive threshold method or the fixed threshold method.

[0048] (8)Connected region analysis: Area filtering of continuous white regions in the binary image, remove noise smaller than the set area threshold (e.g., 10 pixels), and only keep the main fluorescent patches.

[0049] (9)Pixel statistics: Count the number of white areas (fluorescent pixels) and record the total number of pixels in the palm area (which can be obtained from the natural light image). Calculate the ratio = fluorescent area / total palm area.

[0050] (10)Result output: Output the statistical results to the report system, which can be used to evaluate the degree of residual contamination after washing hands, and for chart presentation and grading judgment.

[0051] While the present application has been described with reference to various embodiments, it will be understood that many changes and modifications can be made to the application, its preferred configuration, and without departing from the scope of the application. That is, the methods, systems and devices discussed above are examples. Various configurations can omit, substitute, or add various procedures or components as appropriate. For instance, the methods described can be performed in an order different from that described, and / or various steps can be added, omitted or combined. Also, features described with respect to certain configurations can be combined in other configurations, for example, in an analogous manner as can be appreciated by those of ordinary skill in the art. Further, many elements of the configurations described are exemplary and not limiting, and the scope of the disclosure or claims should not be construed as limited to the specific elements unless explicitly stated otherwise.

[0052] In the description specific details are set forth in order to provide a thorough understanding of the exemplary configurations including implementations. However, configurations can be practiced without these specific details. For instance, well known circuits, processes, algorithms, structures, and techniques have not been described in detail because such details are already well known to those of ordinary skill in the art. The description provides example configurations only, and should not be used to limit or abuse the scope of the claims, applicability or configurations. Instead, the foregoing description of the configurations will provide those skilled in the art with an enabling description that can be used to make and utilize the described technologies. Various changes to the function and arrangements of elements can be made without departing from the spirit or scope of the disclosure.

[0053] In conclusion, it is intended that the foregoing detailed description of the application be regarded as illustrative rather than limiting, and that it be understood that various other modifications and changes can be made by those skilled in the art which fall within the scope of the application as defined by the appended claims. Having now described the features, detachments, and technical specifications of the present application, we claim that the application is well-appreciated to be, of a wide scope as the appended claims fall thereunder.

Claims

1. A hand cleaning effectiveness evaluation system, characterized in that, include: The lightbox is a rectangular structure with five closed sides and one open side. Inside the lightbox are blue LED lighting components and natural light LED lighting components for illuminating the hand. The top of the lightbox has a camera window for mounting a smartphone to capture images of the hand under natural light and blue light conditions. A client is installed on an electronic device; the electronic device is configured to capture and process images of the user's hand. Image processing includes using image segmentation algorithms to calculate the area ratio of fluorescent regions to hand regions in order to assess the level of residual microorganisms after handwashing.

2. The evaluation system as described in claim 1, characterized in that, The blue LED lighting component has a wavelength of 450nm, an irradiation intensity of 2W, and is equipped with a diffuser to improve irradiation uniformity.

3. The evaluation system as described in claim 1, characterized in that, The bottom of the lightbox is provided with a hand placement and positioning area to limit the position and posture of the hand during shooting, so as to ensure the consistency of image acquisition.

4. The evaluation system as described in claim 1, characterized in that, The image processing software module includes image scaling, color gamut conversion, brightness adjustment, and pixel statistics processing steps. By setting a brightness threshold, the number of pixels whose brightness exceeds the threshold is counted to evaluate the residual fluorescence area.

5. A method for evaluating the effectiveness of hand cleaning, characterized in that, The evaluation method is applied to a hand cleaning effect evaluation system as described in claims 1 to 4; the evaluation method includes the following steps: S100: Apply a fluorescent safety tracer gel to the surface of your hands and clean them according to the preset handwashing procedure; S200: Place the hand in a fixed posture in a closed light box and take two images under natural light illumination and blue light illumination conditions respectively. The blue light wavelength is 450nm, which is used to excite the residual fluorescence region. S300: Processes natural light images to obtain the overall contour area of ​​the hand; performs brightness enhancement and color gamut conversion on blue light images to identify and extract fluorescent imaging areas; S400: Calculates the pixel area ratio of the fluorescent area to the overall hand area, and assesses the degree of hand cleaning residue based on this ratio.

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