CN112580719A - Red date sorting method and system based on AI identification - Google Patents

Red date sorting method and system based on AI identification Download PDF

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Publication number
CN112580719A
CN112580719A CN202011506239.8A CN202011506239A CN112580719A CN 112580719 A CN112580719 A CN 112580719A CN 202011506239 A CN202011506239 A CN 202011506239A CN 112580719 A CN112580719 A CN 112580719A
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red dates
identification
module
red
sorting
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卢业青
魏芳坤
汪洋
沙正霞
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Anhui Vision Optoelectronics Technology Co ltd
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Anhui Vision Optoelectronics Technology Co ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06F18/24Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
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    • G06V20/68Food, e.g. fruit or vegetables

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  • Bioinformatics & Cheminformatics (AREA)
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Abstract

The invention discloses a red date sorting method and system based on AI identification, relating to the technical field of sorting equipment and comprising the following steps: the method comprises the following steps: cleaning red dates, placing the cleaned red dates in a feeding bin of a sorting machine, and conveying the red dates to a grid platform through the sorting machine; step two: the method comprises the following steps of (1) carrying out image acquisition on red dates of a grid platform through an image acquisition terminal, and shooting at least 8 groups of pictures at different angles; step three: the photos collected in the second step are uploaded to an AI identification module, and are divided into four levels, three levels, two levels, one level and special levels in sequence according to the size area of the red dates from small to large, and the red dates with four problems of black spots, broken peels, cracks and peeled peels are divided according to the skin color and the finish degree of the red dates; step four: and transmitting the data identified in the step three to a CPU control module, picking up the red dates according to classification through a CPU control sorting machine, respectively transmitting the red dates to corresponding packaging boxes, and identifying and screening by using AI, so that the red date sorting precision and efficiency are improved.

Description

Red date sorting method and system based on AI identification
Technical Field
The invention belongs to the technical field of sorting equipment, and particularly relates to a red date sorting method and system based on AI identification.
Background
China is the country of origin of jujube, also the largest jujube producing country and the only export country in the world, has more than 95% of jujube tree resources all over the world, and occupies a leading position in the world red jujube industry. The red dates are the most competitive agricultural products after being added into world trade organizations in China. In recent years, the output of red dates in China keeps overall increase, and the yield reaches 913.5 ten thousand tons in 2015. The quality sorting of red dates is a key technical link of red date storage, processing, circulation and the like, and directly influences the economic benefit of fruit growers. The current Chinese red date sorting method mainly comprises two categories of manual sorting and mechanical screening. The quality of the red dates sorted manually has the defects of high labor intensity, low efficiency, high cost, difficulty in guaranteeing the sorting precision and the sanitary quality and the like. The mechanical screening of red dates in the market at present has the problems of low intelligent degree, low accuracy, low sorting speed and the like.
At present, the domestic red date grader carries out single sorting aiming at defects and grades, sorted waste products, defective products and finished products have certain probability of wrong sorting, and generally, a client has two processing methods: one is marginal acceptance and is sold as a low-end product; one is to arrange manpower and equipment to carry out one-time manual sorting, pick out inferior-quality products and improve the quality of finished products. The sorted waste products, defective products and finished products have low precision and certain probability of wrong selection, and cannot meet the requirements of customers well; generally, the customers sort the defective products once again manually; the small-scale production can be accepted by customers, and the large-scale production has obvious defects. In short, it is inefficient and increases costs. Therefore, a red date sorting method and system based on AI identification are provided.
Disclosure of Invention
In view of the defects of the prior art, the present invention provides a method and a system for sorting red dates based on AI identification, so as to solve the problems in the background art.
The purpose of the invention can be realized by the following technical scheme: a red date sorting method based on AI identification is characterized by comprising the following steps:
the method comprises the following steps: cleaning red dates, placing the cleaned red dates in a feeding bin of a sorting machine, and conveying the red dates to a grid platform through the sorting machine;
step two: the method comprises the following steps of (1) carrying out image acquisition on red dates of a grid platform through an image acquisition terminal, and shooting at least 8 groups of pictures at different angles;
step three: the photos collected in the second step are uploaded to an AI identification module, and are divided into four levels, three levels, two levels, one level and special levels in sequence according to the size area of the red dates from small to large, and the red dates with four problems of black spots, broken peels, cracks and peeled peels are divided according to the skin color and the finish degree of the red dates;
step four: and D, transmitting the data identified in the step three to a CPU control module, picking up the red dates according to classification through a CPU control sorting machine, and respectively transmitting the red dates into corresponding packaging boxes.
A red date sorting system based on AI identification is characterized by comprising a grid platform, a sorting terminal, an image acquisition terminal, an AI identification module, a logic operation module, a CPU control module and a storage module;
the grid platform is formed by distributing a plurality of rectangular frames with the same size in an array mode, and the red dates to be sorted are placed in the grid platform;
the image acquisition terminal is used for acquiring images of the red dates on the grid platform, the image acquisition terminal is arranged right above the grid platform, the distance between the image acquisition terminal and the grid platform is adjustable, and the image acquisition terminal transmits acquired photos to the AI identification module and the storage module.
The AI identification module is used for intelligently comparing and identifying the photos uploaded by the image acquisition terminal, identifying parameters such as size, color and surface smoothness by the AI identification module, and transmitting an identification result to the CPU control module;
the CPU control module receives the data transmitted by the AI identification module and converts the data into instructions to control the work of the sorting terminal;
the sorting terminal is arranged at the bottom end of the grid platform and receives the instruction of the CPU control module to complete the corresponding red date sorting operation;
a storage module: the image acquisition terminal is used for acquiring image information data and identification processing data of the AI identification module, and the image information data and the identification processing data are used for calling and consulting the information data.
As a further scheme of the invention, a piezoelectric sensor is arranged on the grid platform and used for identifying the quality of the red dates on the grid platform, and the piezoelectric sensor is connected with the CPU control module and the storage module.
As a further scheme of the invention, the image acquisition terminal adopts an area-array camera, the area-array camera has higher resolution, can be used for measuring the area, the shape, the size, the position and the temperature, can acquire two-dimensional image information, and has visual measurement images.
As a further scheme of the invention, the AI identification module is provided with 10 grade standard comparison templates, red dates are sequentially classified into 10 categories of no-date, black spots, broken peels, cracks, peels, four levels, three levels, two levels, one level and special levels, the categories are sequentially classified into no-date, four levels, three levels, two levels, one level and special levels according to area size identification, and the categories are sequentially classified into four categories of black spots, broken peels, cracks and peels according to color and surface finish identification.
As a further aspect of the present invention, the AI identification module is externally connected with a control panel, and the control panel is used for setting an identification standard parameter of the AI identification module.
The invention has the beneficial effects that: through using AI discernment screening, improved the precision and the efficiency that the red date was selected separately, simultaneously according to individualized demand, formulate corresponding recognition standard, accord with market demand.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a schematic view of the overall structure of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a red date sorting method based on AI identification includes the following steps:
the method comprises the following steps: cleaning red dates, placing the cleaned red dates in a feeding bin of a sorting machine, and conveying the red dates to a grid platform through the sorting machine;
step two: the method comprises the following steps of (1) carrying out image acquisition on red dates of a grid platform through an image acquisition terminal, and shooting at least 8 groups of pictures at different angles;
step three: the photos collected in the second step are uploaded to an AI identification module, and are divided into four levels, three levels, two levels, one level and special levels in sequence according to the size area of the red dates from small to large, and the red dates with four problems of black spots, broken peels, cracks and peeled peels are divided according to the skin color and the finish degree of the red dates;
step four: and D, transmitting the data identified in the step three to a CPU control module, picking up the red dates according to classification through a CPU control sorting machine, and respectively transmitting the red dates into corresponding packaging boxes.
Specifically, for example, size area point selection is taken, after the size module is enabled, the jujube results are classified into five categories, namely, a special level, a level one, a level two, a level three, a level four and no jujube, the set parameters are shared by a parameter 1, a parameter 2, a parameter 3, a parameter 4, a parameter 5 and a parameter 6 from small to large, and the jujube with the minimum area smaller than the parameter is judged to be no jujube.
Grade four: and judging the jujube to be in a grade of five when the area of the jujube is less than the parameter 2 and more than or equal to the parameter 1.
Grade three: and when the area of the jujube is less than the parameter 3 and more than or equal to the parameter 2, judging that the jujube is in a grade of four.
Grade two: and when the area of the jujube is less than the parameter 4 and more than or equal to the parameter 3, judging the jujube to be in a grade three.
Grade one: and judging the Chinese date to be in a grade two when the area of the Chinese date is less than the parameter 5 and more than or equal to the parameter 4.
Special grade: and judging the jujube to be in grade one when the area of the jujube is less than the parameter 6 and more than or equal to the parameter 5.
The area of the red dates is larger than or equal to the parameter 6, or is smaller than the parameter 1, the red dates are judged to be not available, special conditions that the grid platform does not pick up the red dates exist, the image is collected by the image collection terminal and uploaded to the AI identification module for comparison and identification, after the identification result is uploaded to the CPU control module, the CPU control module sends an instruction to control the sorting machine to sequentially pick up and transmit the sorted red dates to corresponding packaging boxes.
The defective red date field is sorted by taking black spots as an example:
the color parameter in the AI identification module is set, the black degree value of the red dates is judged according to the gray index, the parameter is an upper limit value, and the larger the parameter is set, the larger the carry-over is. Setting the lower limit of the maximum area of the black spots in the image, regarding the maximum area as the sum of the areas of the black spots of the single jujube when the maximum area exceeds the lower limit,
a red date sorting system based on AI identification comprises a grid platform, a sorting terminal, an image acquisition terminal, an AI identification module, a logic operation module, a CPU control module and a storage module;
the grid platform comprises a plurality of rectangular frame arrays with the same size, the red dates to be sorted are placed in the grid platform, and through grid setting, the problem that the red dates are difficult to identify due to adhesion is effectively avoided, and accuracy of an identification place is improved.
The image acquisition terminal is used for acquiring images of the red dates on the grid platform, the image acquisition terminal is arranged right above the grid platform, the distance between the image acquisition terminal and the grid platform is adjustable, and the image acquisition terminal transmits acquired photos to the AI identification module and the storage module.
The AI identification module is used for intelligently comparing and identifying the photos uploaded by the image acquisition terminal, identifying parameters such as size, color and surface smoothness by the AI identification module, and transmitting an identification result to the CPU control module;
the CPU control module receives the data transmitted by the AI identification module and converts the data into instructions to control the work of the sorting terminal;
the sorting terminal is arranged at the bottom end of the grid platform and receives the instruction of the CPU control module to complete the corresponding red date sorting operation;
a storage module: the system comprises an AI identification module, an image acquisition terminal, an image processing module, a sorting module and a storage module, wherein the AI identification module is used for storing image information data acquired by the image acquisition terminal and identification processing data of the AI identification module, and is used for calling and looking up the information data.
Preferably, the grid platform is provided with a piezoelectric sensor for identifying the quality of the red dates on the grid platform, the piezoelectric sensor is connected with the CPU control module and the storage module, the weight of the red dates is measured through the piezoelectric sensor, the identification and classification of the water content and the size of the red dates are assisted, and the accuracy of size identification is improved.
Preferably, the image acquisition terminal adopts an area-array camera, the area-array camera has higher resolution, can be used for measuring the area, the shape, the size, the position and the temperature, can acquire two-dimensional image information, and can visually measure images.
Preferably, the AI identification module is provided with 10 grade standard comparison templates, the red dates are classified into 10 categories of no-date, black spots, broken skins, cracks, skins, four grades, three grades, two grades, one grade and special grades in sequence, the categories are classified into no-date, four grades, three grades, two grades, one grade and special grades in sequence according to area size identification, and the categories are classified into four categories of black spots, broken skins, cracks and skins in sequence according to color and surface finish identification.
Preferably, the AI identification module is externally connected with a control panel, and the control panel is used for setting an identification standard parameter of the AI identification module and setting a comparison frequency, so that the identification and sorting precision is improved.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "left", "right", etc., indicating an orientation or positional relationship are based on the orientation or positional relationship shown in the drawings and are used merely for convenience in describing the present invention and for simplifying the description, but do not indicate or imply that the device or element referred to must have a specific orientation, be constructed in a specific orientation, or be operated, and thus, should not be construed as limiting the present invention.
Furthermore, the method is simple. The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. In the description of the present invention, "a plurality" means two or more unless specifically limited otherwise.
It will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the spirit and scope of the invention, and any equivalents thereto, such as those skilled in the art, are intended to be embraced therein.

Claims (6)

1. A red date sorting method based on AI identification is characterized by comprising the following steps:
the method comprises the following steps: cleaning red dates, placing the cleaned red dates in a feeding bin of a sorting machine, and conveying the red dates to a grid platform through the sorting machine;
step two: the method comprises the following steps of (1) carrying out image acquisition on red dates of a grid platform through an image acquisition terminal, and shooting at least 8 groups of pictures at different angles;
step three: the photos collected in the second step are uploaded to an AI identification module, and are divided into four levels, three levels, two levels, one level and special levels in sequence according to the size area of the red dates from small to large, and the red dates with four problems of black spots, broken peels, cracks and peeled peels are divided according to the skin color and the finish degree of the red dates;
step four: and D, transmitting the data identified in the step three to a CPU control module, picking up the red dates according to classification through a CPU control sorting machine, and respectively transmitting the red dates into corresponding packaging boxes.
2. A red date sorting system based on AI identification is characterized by comprising a grid platform, a sorting terminal, an image acquisition terminal, an AI identification module, a logic operation module, a CPU control module and a storage module;
the grid platform is formed by distributing a plurality of rectangular frames with the same size in an array mode, and the red dates to be sorted are placed in the grid platform;
the image acquisition terminal is used for acquiring images of the red dates on the grid platform, the image acquisition terminal is arranged right above the grid platform, the distance between the image acquisition terminal and the grid platform is adjustable, and the image acquisition terminal transmits acquired photos to the AI identification module and the storage module.
The AI identification module is used for intelligently comparing and identifying the photos uploaded by the image acquisition terminal, identifying parameters such as size, color and surface smoothness by the AI identification module, and transmitting an identification result to the CPU control module;
the CPU control module receives the data transmitted by the AI identification module and converts the data into instructions to control the work of the sorting terminal;
the sorting terminal is arranged at the bottom end of the grid platform and receives the instruction of the CPU control module to complete the corresponding red date sorting operation;
a storage module: the image acquisition terminal is used for acquiring image information data and identification processing data of the AI identification module, and the image information data and the identification processing data are used for calling and consulting the information data.
3. The AI-recognition-based red date sorting system of claim 1, wherein a piezoelectric sensor is disposed on the grid platform for recognizing the mass of red dates on the grid platform, the piezoelectric sensor being connected to the CPU control module and the storage module.
4. The AI-recognition-based red date sorting system according to claim 1, wherein the image capture terminal employs an area-array camera, which has a higher resolution, can be used to measure area, shape, size, position and temperature, can acquire two-dimensional image information, and has a visual measurement image.
5. The AI recognition-based red date sorting system according to claim 1, wherein the AI recognition module is provided with 10 grade standard comparison templates, and the red dates are classified into 10 categories of no-date, black spots, broken skins, cracks, skins, four grades, three grades, two grades, one grade and special grade in sequence, classified into no-date, four grades, three grades, two grades, one grade and special grade in sequence according to area size recognition, and classified into four categories of black spots, broken skins, cracks and skins in sequence according to color and surface finish recognition.
6. The AI-recognition-based red date sorting system of claim 1, wherein the AI recognition module is externally connected to a control panel, and the control panel is configured to set an identification standard parameter of the AI recognition module.
CN202011506239.8A 2020-12-18 2020-12-18 Red date sorting method and system based on AI identification Pending CN112580719A (en)

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