Tobacco leaf color value detection device

Abstract

The tobacco leaf color value detection device comprises a shell, a processor and a memory which are arranged in the shell, and a camera, an active light source, a display screen and a man-machine interaction assembly which are arranged on the shell, a measurement starting button in the man-machine interaction assembly is in signal connection with the active light source and the camera. The processor is in signal connection with the camera, the memory and the display screen. Wherein the memory stores the color value threshold range of each type of tobacco leaf standard sample, the color value threshold range corresponds to the moisture content range of the tobacco leaf standard sample, the wavelength of the active light source is 580-650 nm, and the camera is a CMOS (Complementary Metal-Oxide-Semiconductor Transistor) camera. The detection cost of the water content is greatly reduced; in addition, the feasibility of detecting the moisture content of the tobacco leaves based on the color values of the tobacco leaves is improved through wavelength selection of the active light source, and the detection precision of the color values of the tobacco leaves is greatly improved through selection of the camera.

Description

Technical Field

[0001] The present application relates to the technical field of cigarettes, and more specifically, to a tobacco leaf color value detection device. Background Art

[0002] The online infrared moisture meter for tobacco leaves uses the principle of infrared light absorption to detect the moisture in the material. The moisture meter emits infrared light of a specific wavelength. When the infrared light irradiates the material, the water molecules in the material will absorb part of the energy of the infrared light. The more water it contains, the more it absorbs. By measuring the reduction in reflected light, the moisture content of the material can be calculated.

[0003] In order to eliminate the interference of other factors on moisture measurement, the three-wavelength method is generally used, that is, one wavelength that is strongly absorbed by water (measurement wavelength) and two wavelengths that are not absorbed too strongly by water (reference wavelengths). By detecting and calculating the energy ratio of the reflected light of these three wavelengths, more accurate moisture measurement results can be obtained.

[0004] However, in actual application, the online moisture meter is inevitably affected by the color difference of tobacco leaves. That is to say, when the color of tobacco leaves changes, the moisture content test results of tobacco leaves will be affected. Sometimes tobacco leaves in the same batch will have a large color range, which will have a great impact on the moisture content test results of tobacco leaves, thereby affecting the accuracy of the moisture content test of tobacco leaves. Therefore, the prior art has a technical solution for detecting the moisture content of tobacco leaves based on the relationship between the color of tobacco leaves and the moisture content of tobacco leaves using a neural network model, but the cost of the test is high. Utility Model Content

[0005] The present application provides a tobacco leaf color value detection device, which uses an active light source and a camera to realize image acquisition of a tobacco leaf sample to be tested. If the tobacco leaf color value obtained by the processor based on the image is within the corresponding color value threshold range, the moisture content of the tobacco leaf sample to be tested is qualified, and the moisture content detection can be realized through simple comparison, thereby greatly reducing the detection cost of the moisture content; in addition, when the wavelength of the active light source is 580nm-650nm, the absorption of light by water in the tobacco leaf has the maximum sensitivity, thereby improving the feasibility of detecting the moisture content of the tobacco leaf based on the tobacco leaf color value, and under the active light source of the above wavelength, the CMOS camera can avoid saturation of the photosensitive element and the appearance of high-reflectivity materials within the detection range. At the same time, the target reflected light is the strongest, and the tobacco leaf color can be effectively extracted to avoid interference from reflected light of other substances, thereby greatly improving the detection accuracy of the tobacco leaf color value.

[0006] The present application provides a tobacco leaf color value detection device, comprising a housing, a processor and a memory arranged in the housing, and a camera, an active light source, a display screen and a human-computer interaction component arranged on the housing;

[0007] The start measurement button in the human-computer interaction component is connected to the active light source and camera signals, and the processor is connected to the camera, memory and display screen signals respectively;

[0008] The memory stores the color value threshold range of each type of tobacco leaf standard sample, the color value threshold range corresponds to the moisture content range of the tobacco leaf standard sample, the wavelength of the active light source is 580nm-650nm, and the camera is a CMOS camera.

[0009] Preferably, a buzzer is also provided in the housing, and the buzzer is connected to the processor signal.

[0010] Preferably, the wavelength of the active light source is 600 nm.

[0011] Preferably, an SD card socket is provided on the housing, and the memory is an external SD card.

[0012] Preferably, a power input interface and a power switch are provided on the housing.

[0013] Preferably, a power module is also provided in the housing.

[0014] Preferably, a working indicator light is also provided on the housing, and the working indicator light is connected to the power switch.

[0015] Preferably, an SD card indicator light is also provided on the housing, and the SD card indicator light is connected to the SD card socket.

[0016] Preferably, the human-computer interaction component also includes a tobacco leaf type setting button, and the tobacco leaf type setting button is connected to the processor signal.

[0017] Preferably, the human-computer interaction component further includes a statistical information function button and a menu button, wherein the menu button is used to set a working mode, and the working mode includes a measurement mode and a statistical mode;

[0018] The statistical information function button and the menu button are respectively connected to the processor signal.

[0019] Other features and advantages of the present application will become apparent from the following detailed description of exemplary embodiments of the present application with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the application and, together with the description, serve to explain the principles of the application.

[0021] Figure 1 A three-dimensional diagram of the tobacco leaf color value detection device provided in this application;

[0022] Figure 2 A three-dimensional diagram of the tobacco leaf color value detection device provided by the present application from another angle;

[0023] Figure 3 A schematic diagram of the core structure composition of a preferred embodiment of the tobacco leaf color value detection device provided in the present application. DETAILED DESCRIPTION

[0024] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present application.

[0025] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present application, its application, or uses.

[0026] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0027] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0028] The present application provides a tobacco leaf color value detection device, which uses an active light source and a camera to realize image acquisition of a tobacco leaf sample to be tested. If the tobacco leaf color value obtained by the processor based on the image is within the corresponding color value threshold range, the moisture content of the tobacco leaf sample to be tested is qualified, and the moisture content detection can be realized through simple comparison, thereby greatly reducing the detection cost of the moisture content; in addition, when the wavelength of the active light source is 580nm-650nm, the absorption of light by water in the tobacco leaf has the maximum sensitivity, thereby improving the feasibility of detecting the moisture content of the tobacco leaf based on the tobacco leaf color value, and under the active light source of the above wavelength, the CMOS camera can avoid saturation of the photosensitive element and the appearance of high-reflectivity materials within the detection range. At the same time, the target reflected light is the strongest, and the tobacco leaf color can be effectively extracted to avoid interference from reflected light of other substances, thereby greatly improving the detection accuracy of the tobacco leaf color value.

[0029] like Figure 1-2 As shown, the tobacco leaf color value detection device provided in the present application includes a housing 170, a processor and a memory arranged in the housing 170, and a camera 110, an active light source 120, a display screen 130 and a human-computer interaction component arranged on the housing 170.

[0030] The start measurement button in the human-computer interaction component is connected to the active light source 120 and the camera 110 signals, and the processor is connected to the camera 110, the memory and the display screen 130 signals respectively. The active light source 120 is used to illuminate the tobacco leaves to be tested, and the camera 110 is used to take pictures of the tobacco leaves. The start measurement button is used to control the active light source 120 and the camera 110 to collect images of the tobacco leaves. The processor is used to process the image, obtain color value information (for example, directly determine the color value based on the color of the image, which belongs to the prior art and is not improved in this application), as the color value of the tobacco leaf sample to be tested, and determine whether the color value is within the corresponding color value threshold range (the simple parameter value comparison function belongs to the common function of the processor, and is not improved in this application), and transmit the test result to the display screen 130 for display.

[0031] As an example, Figure 3 As shown, the processor model is K210, which has powerful computing performance and is widely used in the field of image processing. It has a fast response speed when performing online image processing, which helps to improve the real-time performance of detection.

[0032] Among them, the memory stores the color value threshold range of each type of tobacco leaf standard sample, and the color value threshold range of each type of tobacco leaf corresponds to the moisture content range of the tobacco leaf standard sample. Therefore, if the color value of the tobacco leaf sample to be tested is within the corresponding color value threshold range, the moisture content of the tobacco leaf sample to be tested is judged to be qualified.

[0033] Specifically, the tobacco leaves used in cigarette production are baked tobacco leaves, which are generally yellow in color. The wavelength of the active light source 120 is 580nm-650nm (including the yellow light band). When the wavelength of the active light source is 580nm-650nm, the absorption of light by moisture in the tobacco leaves has the maximum sensitivity. The tobacco leaf image obtained at this wavelength can well reflect the moisture content of the tobacco leaves, thereby improving the feasibility of detecting the moisture content of the tobacco leaves based on the color value of the tobacco leaves.

[0034] Preferably, the active light source is a surface light source, a lens is provided on the emission path of the surface light source, and the principle of a planar array light-emitting device is adopted to collimate the light source to a certain extent through the lens to obtain a wider sample irradiation range and ensure image acquisition quality.

[0035] Specifically, camera 110 is a CMOS camera. Under the active light source of the above wavelength, the CMOS camera can avoid saturation of the photosensitive element and the appearance of high-reflectivity materials within the detection range. At the same time, the target reflected light is the strongest, which can effectively enhance the contrast between the target and other materials, greatly improving the detection accuracy of the tobacco leaf color value.

[0036] Preferably, if Figure 3As shown, the wavelength of the active light source is 600 nm, and the CMOS camera has a good intensity response at a target light wavelength of about 600 nm. By using a narrow-band filter to control the incoming light wavelength to about 600 nm, the color can be effectively extracted to avoid interference from reflected light from other substances.

[0037] As an example, Figure 3 As shown, the model of the CMOS camera is OV2640.

[0038] Preferably, a buzzer is also provided in the housing, and the buzzer is connected to the processor signal.

[0039] As an example, Figure 1-2 As shown, an SD card socket is provided on the housing 170, and the storage is an external SD card 160, which facilitates data transfer.

[0040] Preferably, an SD card indicator light 140 is also provided on the housing 170 , and the SD card indicator light 140 is connected to the SD card socket.

[0041] The housing 170 is provided with a power input interface 190 (for inputting direct current) and a power switch 180 .

[0042] Preferably, a power module is also provided in the housing 170 to supply power to electrical components of the device.

[0043] Preferably, a working indicator light 150 is also provided on the housing 170 , and the working indicator light 150 is connected to the power switch 180 .

[0044] As an embodiment, the human-computer interaction component further includes a tobacco leaf type setting button and an export data button, which are connected to the processor signal. The tobacco leaf type setting button is used to display the color value threshold range of each type of tobacco leaf standard sample through the display screen. The export data button is used to transfer the data processed by the processor to the SD card.

[0045] As an embodiment, the human-computer interaction component also includes a statistical information function button and a menu button, and the statistical information function button and the menu button are respectively connected to the processor signal. The menu button is used to set the working mode, and the working mode includes a measurement mode and a statistical mode. The measurement mode is used to perform online tobacco leaf color value detection on the tobacco leaf samples to be tested on the production line, and the statistical mode is used to perform tobacco leaf color value detection on the tobacco leaf standard sample to obtain the color value threshold range to establish a corresponding relationship between the tobacco leaf type and the color value threshold range, thereby establishing a corresponding relationship between the color value threshold range of the tobacco leaf type and the moisture content range. The statistical information function button is used to perform statistics on the color value threshold range of the tobacco leaf standard sample in the statistical mode.

[0046] Combination Figure 1 and2 When using the tobacco leaf color value detection device of the present application, the system initial interface is located at the power-on startup interface. At this time, click the menu button or the confirmation button, the system jumps into the mode selection interface, and the corresponding working mode can be selected by the up and down keys. After selection, click the confirmation button, and the system jumps into the corresponding working mode interface.

[0047] After entering the measurement mode, the system starts to start the camera and active light source to shoot, and the display screen displays the shooting picture in real time. Manually adjust the device orientation so that the area to be detected is inside the white box on the display screen, click the start measurement button, and the system starts tobacco leaf color value detection. If the detection fails, the buzzer alarm will sound. In the measurement mode, you can click the tobacco leaf type button to view the color value threshold range of the current tobacco leaf type set by the device.

[0048] After entering the statistics mode, the system starts to start the camera and active light source to shoot, and the display screen displays the shooting picture in real time. Manually adjust the device orientation so that the area to be detected is inside the white box on the display screen, click the start measurement button, and the system starts taking pictures and storing images and color values. In the statistics mode, you can click the statistics information button and the export data button to view the number of images currently captured by the device.

[0049] Although some specific embodiments of the present application have been described in detail by way of example, it should be understood by those skilled in the art that the above examples are only for illustration, not for limiting the scope of the present application. It should be understood by those skilled in the art that the above embodiments may be modified without departing from the scope and spirit of the present application. The scope of the present application is defined by the appended claims.

Claims

1. A tobacco leaf color value detection device, characterized in that: It includes a housing, a processor and a memory arranged in the housing, and a camera, an active light source, a display screen and a human-computer interaction component arranged on the housing; The start measurement button in the human-computer interaction component is connected to the active light source and the camera signal, and the processor is respectively connected to the camera, the memory and the display signal; The memory stores the color value threshold range of each type of tobacco leaf standard sample, the color value threshold range corresponds to the moisture content range of the tobacco leaf standard sample, the wavelength of the active light source is 580nm-650nm, and the camera is a CMOS camera.

2. The tobacco leaf color value detection device according to claim 1, characterized in that: A buzzer is also arranged in the shell, and the buzzer is connected to the processor signal.

3. The tobacco leaf color value detection device according to claim 1, characterized in that: The wavelength of the active light source is 600nm.

4. The tobacco leaf color value detection device according to claim 1, characterized in that: The shell is provided with an SD card socket, and the memory is an external SD card.

5. The tobacco leaf color value detection device according to claim 1, characterized in that: The housing is provided with a power input interface and a power switch.

6. The tobacco leaf color value detection device according to claim 5, characterized in that: A power module is also arranged in the shell.

7. The tobacco leaf color value detection device according to claim 5, characterized in that: The housing is also provided with a working indicator light, which is connected to the power switch.

8. The tobacco leaf color value detection device according to claim 4, characterized in that: The housing is also provided with an SD card indicator light, which is connected to the SD card socket.

9. The tobacco leaf color value detection device according to claim 1, characterized in that: The human-computer interaction component also includes a tobacco type setting button, and the tobacco type setting button is connected to the processor signal.

10. The tobacco leaf color value detection device according to claim 1, characterized in that: The human-computer interaction component also includes a statistical information function button and a menu button, wherein the menu button is used to set a working mode, and the working mode includes a measurement mode and a statistical mode; The statistical information function button and the menu button are respectively connected to the processor signal.

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