Portable fruit and vegetable monitor

Abstract

The utility model discloses a portable fruit and vegetable monitor, this portable fruit and vegetable monitor includes: near infrared spectrometer, camera, processing plant and display device, near infrared spectrometer is used for emitting light to fruit and vegetable, and collects the spectral data of fruit and vegetable reflection or projection, camera is used for gathering the image of fruit and vegetable, processing plant is connected with camera and near infrared spectrometer communication respectively, and processing plant is used for determining the internal information of fruit and vegetable based on spectral data, determines the external information of fruit and vegetable based on image, and display device is connected with processing plant communication, and is used to show internal information and external information. Through the mutual cooperation of camera and near infrared spectrometer, utilize visual technology and spectral analysis technology to carry out nondestructive testing to fruit and vegetable, make the selection process of fruit and vegetable more efficient, convenient and accurate. And, reduce the personnel and fruit and vegetable contact, ensure the quality and safety of food.

Description

Technical Field

[0001] This application relates to the field of fruit and vegetable monitoring technology, and in particular to a portable fruit and vegetable monitoring instrument. Background Technology

[0002] As people's living standards improve, their demand for food safety and a high-quality life is growing. In daily life, people are used to relying on sight, smell, and touch to select fruits and vegetables, but this method is time-consuming, laborious, and prone to misjudgment. Utility Model Content

[0003] This application aims to address at least one of the technical problems existing in the prior art or related technologies.

[0004] This application proposes a portable fruit and vegetable monitoring device, which includes a near-infrared spectrometer, a camera, a processing device, and a display device. The near-infrared spectrometer is used to emit light onto the fruits and vegetables and collect spectral data reflected or projected by the fruits and vegetables. The camera is used to acquire images of the fruits and vegetables. The processing device is communicatively connected to both the camera and the near-infrared spectrometer. The processing device is used to determine the internal information of the fruits and vegetables based on the spectral data and to determine the external information of the fruits and vegetables based on the images. The display device is communicatively connected to the processing device and is used to display the internal and external information.

[0005] In some of the technical solutions provided in this application, the processing device includes an extraction module and an analysis module. The extraction module is communicatively connected to a camera and a near-infrared spectrometer, respectively. The extraction module is used to extract key features of the image and spectral data. The analysis module is communicatively connected to the extraction module. The analysis module is used to determine internal and external information based on the key features, and to determine the quality information of fruits and vegetables based on the external and internal information.

[0006] In some of the technical solutions provided in this application, the processing device further includes: a preprocessing module, which is communicatively connected to a near-infrared spectrometer and a camera, and is used to preprocess the image and spectral data.

[0007] In some of the technical solutions provided in this application, the analysis module is also used to input internal and external information into the quality prediction model to determine quality information, wherein the quality prediction model has been trained and validated.

[0008] In some of the technical solutions provided in this application, the processing device further includes: a sorting module, external information including the size information of fruits and vegetables, the sorting module is used to determine the size grade of fruits and vegetables based on the size information, and the display device is also used to display the size grade.

[0009] In some of the technical solutions provided in this application, the sorting module is also used to determine the quality grade of fruits and vegetables based on quality information, and the display device is also used to display the quality grade.

[0010] In some of the technical solutions provided in this application, the portable fruit and vegetable monitoring device further includes: a first storage device and a second storage device. The first storage device is communicatively connected to the processing device and is used to store external information and internal information. The second storage device is communicatively connected to the camera and the processing device respectively and is used to store image and spectral data. The buffering speed of the second storage device is greater than that of the first storage device, and the storage capacity of the first storage device is greater than that of the second storage device.

[0011] In some of the technical solutions provided in this application, the display device includes: a display screen and a speaker, wherein the display screen is used to display internal information and / or external information, and the speaker is used to broadcast internal information and / or external information via voice.

[0012] In some of the technical solutions provided in this application, the portable fruit and vegetable monitoring instrument also includes: a housing, a near-infrared spectrometer, a camera and a display device housed in the housing, a processing device located inside the housing, the thickness of the housing being 5mm to 20mm, and the height of the housing being 150mm to 200mm.

[0013] In some of the technical solutions provided in this application, the portable fruit and vegetable monitoring instrument also includes: an energy storage device and a high-frequency oscillator. The high-frequency oscillator is connected to the power supply and the energy storage device respectively. The high-frequency oscillator is used to reduce the voltage and increase the current of the power input current before sending it to the energy storage device.

[0014] Compared with related technologies, this utility model has at least the following beneficial effects: By combining a camera and a near-infrared spectrometer, non-destructive testing of fruits and vegetables is performed using visual and spectral analysis techniques. This eliminates subjective errors in the selection process, improves the accuracy of testing, and saves on manual labor, making the selection process more efficient, convenient, and accurate. Furthermore, it reduces human contact with the produce, ensuring food quality and safety and meeting consumers' expectations for a healthy lifestyle. In addition, the processing device simultaneously acquires information on the appearance and internal composition of fruits and vegetables, expanding the scope of testing and providing more comprehensive information, further enhancing the accuracy of the results. Attached Figure Description

[0015] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of some embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1This is a schematic diagram of the structure of a fruit and vegetable monitoring instrument according to an embodiment of this application; Figure 2 One of the exploded views of a fruit and vegetable monitoring instrument according to an embodiment of this application; Figure 3 Exploded view of a fruit and vegetable monitoring instrument according to one embodiment of this application (second example); Figure 4 A top view of a fruit and vegetable monitoring device according to an embodiment of this application; Figure 5 A side view of a fruit and vegetable monitoring device according to an embodiment of this application; Figure 6 A front view of a fruit and vegetable monitoring device according to an embodiment of this application; Figure 7 Rear view of a fruit and vegetable monitoring device according to an embodiment of this application.

[0016] in, Figures 1 to 7 The correspondence between the reference numerals and component names in the attached drawings is as follows: 10. Fruit and vegetable monitor; 100. Near-infrared spectrometer; 200. Camera; 300. Processing device; 310. Card slot; 400. Display device; 410. Display screen; 510. First storage unit; 520. Second storage unit; 600. Housing; 610. Top cover; 620. Side cover; 630. Back cover; 640. Button; 700. Energy storage unit; 800. High-frequency oscillator; 900. Keypad. Detailed Implementation

[0017] To better understand the above technical solutions, the technical solutions of the embodiments of this application will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of this application and the specific features in the embodiments are detailed descriptions of the technical solutions of the embodiments of this application, rather than limitations on the technical solutions of this application. In the absence of conflict, the embodiments of this application and the technical features in the embodiments can be combined with each other.

[0018] Embodiments of this application provide a portable fruit and vegetable monitoring device 10, such as... Figure 1 , Figure 2 and Figure 3As shown, the portable fruit and vegetable monitoring device 10 includes: a near-infrared spectrometer 100, a camera 200, a processing device 300, and a display device 400. The near-infrared spectrometer 100 is used to emit light to the fruits and vegetables and collect spectral data reflected or projected by the fruits and vegetables. The camera 200 is used to acquire images of the fruits and vegetables. The processing device 300 is communicatively connected to the camera 200 and the near-infrared spectrometer 100, respectively. The processing device 300 is used to determine the internal information of the fruits and vegetables based on the spectral data and to determine the external information of the fruits and vegetables based on the images. The display device 400 is communicatively connected to the processing device 300 and is used to display the internal and external information.

[0019] In this embodiment, the camera 200 has high resolution and is used to acquire high-definition images of the appearance of fruits and vegetables to capture details of their external features and obtain their appearance attributes. The near-infrared spectrometer 100 emits light in the 900nm to 1700nm wavelength band towards the fruits and vegetables and captures reflected or transmitted light to obtain spectral data. The near-infrared spectrometer 100 is arranged adjacent to the camera 200 to reduce its footprint and make the layout more compact.

[0020] Image and spectral data are transmitted to processing device 300 via a data interface. Processing device 300 analyzes and processes the image and spectral data to obtain fruit and vegetable information, which includes external and internal information. External information is related to the appearance of the fruits and vegetables, specifically including any one of the following: size, shape, color, and surface defects. Internal information is related to the chemical composition of the fruits and vegetables, specifically including any one of the following: sugar content, acidity, moisture content, ripeness, freshness, and nutritional value. Processing device 300 identifies the external information of fruits and vegetables through images. Because different chemical components selectively absorb light of different wavelengths, processing device 300 uses spectral analysis technology to analyze the spectral information of fruits and vegetables, thus identifying their internal information. Processing device 300 can quickly provide analysis results to meet the needs of rapid on-site testing.

[0021] For example, the processing device 300 may be a central processing unit (CPU) that performs both spectral analysis and image analysis simultaneously. Alternatively, the processing device 300 may include a CPU and a spectral analyzer connected to a near-infrared spectrometer 100 to analyze spectral data to determine internal information, and a CPU connected to a camera 200 to analyze images to determine external information.

[0022] The processing device 300 sends the internal and external information of the fruits and vegetables to the display device 400, enabling the display device 400 to disclose the analysis results to the user, realize the information transmission function, and make it easier for the user to grasp the test results more intuitively and in a timely manner.

[0023] By combining the camera 200 and the near-infrared spectrometer 100, non-destructive testing of fruits and vegetables is performed using visual and spectral analysis technologies. This eliminates subjective errors in the fruit and vegetable selection process, improves the accuracy of testing, and saves on manual labor, making the selection process more efficient, convenient, and accurate. Furthermore, it reduces human contact with fruits and vegetables, ensuring food quality and safety and meeting users' expectations for a healthy lifestyle. In addition, the processing device 300 simultaneously acquires information on the appearance quality and internal composition of fruits and vegetables, expanding the detection range and providing more comprehensive information, further improving the accuracy of the test results.

[0024] In some embodiments provided in this application, the processing device 300 includes an extraction module and an analysis module. The extraction module is communicatively connected to the camera 200 and the near-infrared spectrometer 100, respectively. The extraction module is used to extract key features of the image and spectral data. The analysis module is communicatively connected to the extraction module. The analysis module is used to determine internal and external information based on the key features, and to determine the quality information of fruits and vegetables based on the external and internal information.

[0025] In this embodiment, a processing device 300 is provided to analyze the data. After receiving the fruit and vegetable images and spectral data, the extraction module uses data processing functions (such as edge detection and color analysis) to extract features, extracting key features from the image and spectral data respectively. These key features serve as important indicators for evaluating fruit and vegetable information and are associated with it. Key features of the image include any one of color, shape, and texture, while key features of the spectral data include absorption peaks or reflectance at specific wavelengths.

[0026] Key features are input into the analysis module for in-depth analysis. The analysis module identifies and integrates the internal and external information of the fruits and vegetables, providing more comprehensive quality information and conducting a comprehensive evaluation of the overall quality of the fruits and vegetables, making the test results more reasonable and comprehensive. The display device 400 is also used to display quality information.

[0027] In some embodiments provided in this application, the processing device 300 further includes a preprocessing module, which is communicatively connected to the near-infrared spectrometer 100 and the camera 200, and is used to preprocess the image and spectral data.

[0028] In this embodiment, the preprocessing module preprocesses the data before analysis. The data includes image data and spectral data. Preprocessing operations include any one of the following: noise reduction, cropping, contrast enhancement, baseline correction, and scattering effect correction. The preprocessing module is used to eliminate interference from the external environment on the acquired data, thereby improving data quality, preparing it for subsequent analysis, and enhancing the accuracy of subsequent analysis.

[0029] In some embodiments provided in this application, the analysis module is also used to input internal and external information into the quality prediction model to determine quality information, wherein the quality prediction model has been trained and validated.

[0030] In this embodiment, the modeling module employs methods such as Principal Component Analysis (PCA) and Partial Least Squares Regression (PLSR) to establish a quality prediction model. Specifically, through data collection and annotation, model dataset construction, and model dataset training and validation, the modeling module establishes a high-precision quality prediction model. This model learns from a large amount of labeled data to form complex feature representations, enabling more accurate identification and classification of fruit and vegetable quality. The analysis module uses the trained quality prediction model to correlate the extracted key features with internal and external information of the fruits and vegetables, achieving real-time analysis and prediction of fruit and vegetable information. While ensuring the accuracy of the detection results, this avoids the expensive costs associated with using a spectral analyzer, significantly reducing economic costs.

[0031] Specifically, the modeling module collects and labels a large number of fruit and vegetable images to ensure data diversity and richness, laying the foundation for training a model with good generalization ability. Based on different task requirements, such as maturity detection or quality classification, the modeling module selects appropriate machine learning algorithms (e.g., support vector machines) to construct a comprehensive fruit and vegetable label dataset. This dataset is used to train the quality prediction model, and its performance is evaluated through methods such as cross-validation. During training, the modeling module fine-tunes parameters to optimize model performance and further optimizes the detection algorithm by collecting and analyzing data, improving detection accuracy and efficiency.

[0032] In some embodiments provided in this application, the processing device 300 further includes a sorting module, the external information including the size information of fruits and vegetables, the sorting module is used to determine the size grade of fruits and vegetables based on the size information, and the display device 400 is also used to display the size grade.

[0033] In this embodiment, the sorting module classifies fruits and vegetables. By accurately analyzing the size information of fruits and vegetables and based on preset size standards, the sorting module divides fruits and vegetables into different size grades of large, medium and small, making the monitoring results more comprehensive. Users can select fruits and vegetables of appropriate size according to their actual needs, thereby meeting diverse user needs.

[0034] In some embodiments provided in this application, the sorting module is also used to determine the quality grade of fruits and vegetables based on quality information, and the display device 400 is also used to display the quality grade.

[0035] In this embodiment, the sorting module accurately analyzes the quality information of fruits and vegetables and classifies them into four quality grades: excellent, good, medium, and poor, based on preset quality standards. This makes the monitoring results more comprehensive, allowing users to select products that meet their expectations based on the quality grade, thus ensuring users' right to choose and their satisfaction.

[0036] In some embodiments provided in this application, such as Figure 2 As shown, the portable fruit and vegetable monitoring instrument 10 also includes: a first storage device 510 and a second storage device 520. The first storage device 510 is communicatively connected to the processing device 300 and is used to store external and internal information. The second storage device 520 is communicatively connected to the camera 200, the near-infrared spectrometer 100 and the processing device 300 respectively and is used to store images and spectral data. The buffering speed of the second storage device 520 is greater than that of the first storage device 510, and the storage capacity of the first storage device 510 is greater than that of the second storage device 520.

[0037] In this embodiment, a data storage method for the portable fruit and vegetable monitor 10 is provided. The second storage device 520 uses a high-speed cache to quickly write and read fruit and vegetable data, enabling the processing device 300 to quickly acquire image and spectral data, allowing for timely feedback of monitoring results. The processing device 300 stores the processed and analyzed fruit and vegetable data in the first storage device 510, facilitating user access to monitoring records at any time. The first storage device 510 has a relatively large capacity and is also used to store fruit and vegetable images and spectral data, improving the comprehensiveness of data storage. By partitioning the data for storage, the data processing workflow is optimized.

[0038] In some embodiments provided in this application, such as Figure 1 , Figure 2 , Figure 3 and Figure 6 As shown, the display device 400 includes a display screen 410 and a speaker. The display screen 410 is used to display internal information and / or external information, and the speaker is used to broadcast internal information and / or external information via voice.

[0039] In this embodiment, a method for displaying fruit and vegetable information is provided. The display screen 410 can be an LED display screen 410, which has high definition and can intuitively display fruit and vegetable information and quality analysis results in real time. The display screen 410 provides an interactive interface to optimize the user experience. For example, the display screen 410 intuitively presents fruit and vegetable information through digital display and charts, enabling users to more intuitively identify the quality status of fruits and vegetables. Furthermore, the portable fruit and vegetable monitor 10 has a voice broadcast function; the speaker converts the detected fruit and vegetable information and quality information into speech, providing users with richer and more convenient ways to obtain information. Moreover, by combining visual and auditory methods to transmit information, the diversity and convenience of information display are enhanced, meeting the display needs in different scenarios.

[0040] In some embodiments provided in this application, such as Figure 4 , Figure 5 , Figure 6 and Figure 7 As shown, the portable fruit and vegetable monitoring instrument 10 also includes: a housing 600, a near-infrared spectrometer 100, a camera 200 and a display device 400 disposed in the housing 600, and a processing device 300 located inside the housing 600. The thickness of the housing 600 is 5mm to 20mm, and the height of the housing 600 is 150mm to 200mm.

[0041] In this embodiment, the housing 600 is made of high-quality, wear-resistant, and impact-resistant materials, possessing excellent durability and impact resistance. It provides structural protection and support for the internal components, ensuring the fruit and vegetable monitor 10 has a long lifespan and stability during daily use. The corners of the housing 600 feature a streamlined design, enhancing the device's aesthetics. The thickness of the housing 600 includes a maximum thickness B1 and a minimum thickness B2. By reasonably limiting the thickness and height H of the housing 600, the fruit and vegetable monitor 10 achieves portability. The internal components of the housing 600 are compact, and the housing 600 itself is lightweight, making it convenient for users to carry and move.

[0042] Exemplarily, the housing 600 includes a top cover 610, side covers 620, and a rear cover 630 connected to each other. The top cover 610 is equipped with a button 640, which is connected to a keypad 900 inside the housing 600. The keypad 900 is used to trigger basic operations of the portable fruit and vegetable monitor 10, such as turning it on, off, changing its operating mode, and setting and adjusting its operating parameters. The rear cover 630 provides interfaces for the camera 200 and the near-infrared spectrometer 100. Internal components are connected to the housing 600 via slots 310, improving the ease of assembly and disassembly.

[0043] In some embodiments provided in this application, such as Figure 2As shown, the portable fruit and vegetable monitor 10 also includes an energy storage device 700 and a high-frequency oscillator 800. The high-frequency oscillator 800 is connected to the power supply and the energy storage device 700 respectively. The high-frequency oscillator 800 is used to reduce the voltage and increase the current of the power input and then send it to the energy storage device 700.

[0044] In this embodiment, a fast-charging function is provided for the fruit and vegetable monitor 10. The high-frequency oscillator 800 in the charging port of the housing 600 can adjust the household voltage (220V, 50Hz) to 140V-155V, 55Hz-60Hz, thereby converting it into the required low voltage and high current to achieve fast charging. This significantly reduces user waiting time and improves charging efficiency. The high-frequency oscillator 800 inputs the adjusted current to the energy storage device 700, which can be a battery. The energy storage device 700 stores electrical energy and provides power to the portable fruit and vegetable monitor 10, ensuring its portability and enabling it to support long-term operation.

[0045] In this utility model, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; the term "multiple" refers to two or more unless otherwise explicitly defined. The terms "install," "connect," "join," and "fix" should be interpreted broadly. For example, "connect" can be a fixed connection, a detachable connection, or an integral connection; "join" can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this utility model according to the specific circumstances.

[0046] In the description of this utility model, it should be understood that the terms "upper", "lower", "left", "right", "front", "rear", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or unit referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this utility model.

[0047] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0048] The above are merely some embodiments of this utility model and are not intended to limit the utility model. Various modifications and variations can be made to this utility model by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this utility model should be included within the protection scope of this utility model.

Claims

1. A portable fruit and vegetable monitoring instrument, characterized in that, include: A near-infrared spectrometer is used to emit light onto fruits and vegetables and collect spectral data reflected or projected by the fruits and vegetables. A camera is used to capture images of the fruits and vegetables; The processing device is communicatively connected to the camera and the near-infrared spectrometer, respectively. The processing device is used to determine the internal information of the fruits and vegetables based on the spectral data and to determine the external information of the fruits and vegetables based on the image. The display device is communicatively connected to the processing device and is used to display the internal information and the external information.

2. The portable fruit and vegetable monitoring instrument according to claim 1, characterized in that, The processing device includes: An extraction module is communicatively connected to both the camera and the near-infrared spectrometer, and the extraction module is used to extract key features from the image and the spectral data. An analysis module, which is communicatively connected to the extraction module, is used to determine the internal information and the external information based on the key features, and to determine the quality information of the fruits and vegetables based on the external information and the internal information.

3. The portable fruit and vegetable monitoring instrument according to claim 1 or 2, characterized in that, The processing device further includes: The preprocessing module is communicatively connected to the near-infrared spectrometer and the camera, and is used to preprocess the image and the spectral data.

4. The portable fruit and vegetable monitoring instrument according to claim 2, characterized in that, The analysis module is also used to input the internal information and the external information into the quality prediction model to determine the quality information, wherein the quality prediction model has been trained and validated.

5. The portable fruit and vegetable monitoring instrument according to claim 2, characterized in that, The processing device further includes: The sorting module, wherein the external information includes the size information of the fruits and vegetables, is used to determine the size grade of the fruits and vegetables based on the size information, and the display device is also used to display the size grade.

6. The portable fruit and vegetable monitoring instrument according to claim 5, characterized in that, The sorting module is also used to determine the quality grade of the fruits and vegetables based on the quality information, and the display device is also used to display the quality grade.

7. The portable fruit and vegetable monitoring instrument according to claim 1 or 2, characterized in that, Also includes: A first storage device, communicatively connected to the processing device, is used to store the external information and the internal information; The second storage device is communicatively connected to the camera, the near-infrared spectrometer, and the processing device, respectively, and is used to store the image and the spectral data. The buffering speed of the second storage device is greater than that of the first storage device, and the storage capacity of the first storage device is greater than that of the second storage device.

8. The portable fruit and vegetable monitoring instrument according to claim 1 or 2, characterized in that, The display device includes: A display screen for displaying the internal information and / or the external information; A speaker, used for verbally broadcasting the internal information and / or the external information.

9. The portable fruit and vegetable monitoring instrument according to claim 1 or 2, characterized in that, Also includes: The housing contains the near-infrared spectrometer, the camera, and the display device, and the processing device is located inside the housing. The thickness of the housing is 5mm to 20mm, and the height of the housing is 150mm to 200mm.

10. The portable fruit and vegetable monitoring instrument according to claim 1 or 2, characterized in that, Also includes: Energy storage devices; A high-frequency oscillator is connected to both the power supply and the energy storage device. The high-frequency oscillator is used to reduce the voltage and increase the current of the current input from the power supply before sending it to the energy storage device.

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