Device and method for identifying growth period of waxberry based on close-range monitoring function

Abstract

The invention discloses a device and method for identifying the growth period of waxberry based on a close-range monitoring function, and the method comprises the steps: obtaining a target region image, determining the size of a fruit, and determining the color of the fruit, and obtaining the target region image comprises the steps: shooting a primary image of a region where the waxberry fruit is located through a monitoring camera, extracting an accurate image of the waxberry fruit from the primary image; the step of determining the fruit size comprises calculating the contour of the waxberry fruit in the accurate image to obtain the diameter of the waxberry fruit; when the diameter of the waxberry fruit exceeds a preset value a, judging the waxberry fruit as a quasi-mature fruit; the step of determining the color of the fruit comprises comparing the color of the quasi-mature fruit with the color in a mature color library, and judging whether the fruit is a mature fruit or not. The technical scheme has the beneficial effects that the image is acquired through the monitoring camera, the manpower investment is reduced, and the working efficiency is improved. And through dual determination of the size and the color, the accuracy of mature fruit judgment is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of waxberry growth period recognition, and in particular to a method for recognizing the waxberry growth period based on a monitoring close-view function. Background Art

[0002] Bayberry trees are strong, easy to cultivate, have a long economic life, and have significantly lower production costs than other fruits. The average yield per mu of continuous planting is 1,000 kilograms, and the highest can reach 2,000 kilograms.

[0003] Due to the large planting area, too many bayberry trees, and the different times when the bayberries enter the maturity period, it is necessary to search for bayberries that can be picked over a large area. This will reduce the efficiency of picking bayberries and increase the workload of the staff. Summary of the invention

[0004] In view of the defects in the prior art, the present invention provides a method for identifying the growth period of bayberry based on the monitoring close-view function, which facilitates the grasp of the growth status of bayberry and enables accurate picking on time.

[0005] The present invention provides a technical solution in one aspect: a method for identifying the growth period of waxberry based on monitoring close-view function, comprising:

[0006] Acquiring a target area image, wherein acquiring the target area image comprises taking a primary image of the area where the bayberry fruit is located by a surveillance camera, and extracting a precise image of the bayberry fruit from the primary image;

[0007] Determining the fruit size, wherein the determining the fruit size includes calculating the outline of the bayberry fruit in the precise image to obtain the diameter of the bayberry fruit; when the diameter of the bayberry fruit exceeds a preset value a, it is determined to be a nearly mature fruit; and,

[0008] Determine the fruit color, wherein the determining the fruit color includes comparing the color of the quasi-ripe fruit with the color in the mature color library, and when the similarity between the color of the quasi-ripe fruit and the color in the mature color library is b, it is judged to be a mature fruit.

[0009] The beneficial effects of the above technical solution are: obtaining images through monitoring cameras reduces the input of manpower and improves work efficiency. The accuracy of ripe fruit judgment is ensured through dual identification of size and color.

[0010] Furthermore, the determination of the fruit size includes measuring the distance from the surveillance camera to the bayberry fruit to obtain a distance size coefficient of the bayberry fruit. By setting the distance size coefficient, the bayberry fruits in the space can be divided in detail, so that the real sizes of the bayberry fruits at different distances can be accurately measured.

[0011] Furthermore, the monitoring camera is provided with a laser rangefinder, which is bound to the monitoring camera so that the distance measured by the laser rangefinder is the distance from the monitoring camera to the bayberry fruit.

[0012] Furthermore, the determining of the fruit size includes obtaining a pixel value of the diameter of the outline, and the product of the pixel value and the distance size coefficient is the actual diameter of the bayberry fruit.

[0013] Another technical solution provided by the present invention is: a device for identifying the growth period of bayberry based on the monitoring close-up function, comprising a monitoring camera and a bracket, wherein the monitoring camera is movably arranged on the bracket through a support platform; the bracket comprises a support part and a slide rail, wherein the slide rail is fixed on the support part, the slide rail is arranged in a ring shape, and the support platform is slidably arranged on the slide rail. By arranging the monitoring camera on the periphery of the bayberry tree through the slide rail, the bayberry tree can be observed and photographed in all directions to obtain more comprehensive image information.

[0014] Furthermore, the slide rail comprises a plurality of arc-shaped rails spliced ​​head-to-tail. The spliced ​​arc-shaped rails can be arranged according to the actual size of the bayberry tree to adapt to bayberry planting areas of different sizes. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0016] Figure 1 This is a flow chart of Embodiment 1 of the present invention;

[0017] Figure 2 This is a schematic diagram of the structure of Example 2 of the present invention.

[0018] Reference numerals: support portion 100 , slide rail 110 , monitoring camera 200 , support platform 210 . DETAILED DESCRIPTION

[0019] The following embodiments of the technical solution of the present invention are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and are therefore only used as examples, and cannot be used to limit the protection scope of the present invention.

[0020] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the invention belongs.

[0021] Example 1

[0022] like Figure 1-2 As shown, this embodiment provides a method for identifying the growth period of bayberry based on the monitoring close-view function. It includes: obtaining a target area image, determining the fruit size and determining the fruit color. The obtaining of the target area image includes taking a primary image of the area where the bayberry fruit is located by a monitoring camera 200, and extracting a precise image of the bayberry fruit from the primary image; the monitoring camera 200 in this embodiment can be a camera that has been installed but is currently only used for surrounding situation awareness, or a specially reinstalled camera. The camera can be connected to the control center at the rear by wireless transmission, or by arranging a transmission line. The determining of the fruit size includes calculating the outline of the bayberry fruit in the precise image to obtain the diameter of the bayberry fruit; when the diameter of the bayberry fruit exceeds a preset value a, it is determined to be a quasi-mature fruit; wherein the value of a is between 20-50 mm, and is specifically adjusted according to the actual mature size of the bayberry. The determining of the fruit color includes comparing the color of the quasi-mature fruit with the color in the mature color library, and when the similarity between the color of the quasi-mature fruit and the color in the mature color library is b, it is determined to be a mature fruit. Among them, the value of b is between 75% and 100%.

[0023] When in use, the monitoring camera 200 acquires images, which reduces the input of manpower and improves work efficiency. The accuracy of ripe fruit judgment is ensured by dual identification of size and color.

[0024] In order to accurately obtain the size of the bayberry fruit, the determination of the fruit size is set to include measuring the distance from the monitoring camera 200 to the bayberry fruit to obtain the distance size coefficient of the distance where the bayberry fruit is located. By setting the distance size coefficient, the bayberry fruit in the space can be divided in detail, so that the real size of the bayberry fruit at different distances can be accurately measured. Specifically, the distance size coefficient is determined by experiment, and the experiment of determination includes making a target of bayberry fruit of standard size, and then placing the target at multiple standard distances for shooting, and the pixel size of the target obtained after shooting and the standard distance are matched one by one, so as to obtain the distance size coefficient. Specifically, a laser rangefinder is provided on the monitoring camera 200. The laser rangefinder and the monitoring camera 200 are bound together, so that the distance calculated by the laser rangefinder is the distance from the monitoring camera 200 to the bayberry fruit. Finally, the determination of the fruit size includes obtaining the pixel value of the diameter of the contour, and the product of the pixel value and the distance size coefficient is the actual diameter of the bayberry fruit.

[0025] Example 2

[0026] The present embodiment provides a device for identifying the growth period of bayberry based on the monitoring close-view function, including a monitoring camera 200 and a bracket, wherein the monitoring camera 200 is movably arranged on the bracket through a support platform 210; the bracket includes a support portion 100 and a slide rail 110, wherein the slide rail 110 is fixed to the support portion 100, the slide rail 110 is arranged in a ring shape, and the support platform 210 is slidably arranged on the slide rail 110. By arranging the monitoring camera 200 at the periphery of the bayberry tree through the slide rail 110, the bayberry tree can be observed and photographed in all directions to obtain more comprehensive image information. The slide rail 110 includes a plurality of sections of arc-shaped tracks spliced ​​head to tail. The splicable arc-shaped tracks can be arranged according to the actual size of the bayberry tree to adapt to bayberry planting areas of different sizes.

[0027] In the description of this application, it should be understood that the terms in this application are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly indicate the number of technical features indicated. In the description of the present invention, the meaning of "multiple" is more than two, unless otherwise clearly and specifically limited.

[0028] In this application, unless otherwise clearly specified and limited, the terms "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0029] In the specification of the present invention, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, systems and techniques are not shown in detail so as not to obscure the understanding of this specification.

[0030] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A method for identifying the growth period of bayberry based on monitoring close-view function, characterized in that: include: Acquiring a target area image, the acquiring of the target area image comprising taking a primary image of the area where the bayberry fruits are located by means of a monitoring camera (200), and extracting a precise image of the bayberry fruits from the primary image; Determining the fruit size, wherein the determining the fruit size includes calculating the outline of the bayberry fruit in the precise image to obtain the diameter of the bayberry fruit; when the diameter of the bayberry fruit exceeds a preset value a, it is determined to be a nearly mature fruit; and, Determine the fruit color, wherein the determining the fruit color includes comparing the color of the quasi-ripe fruit with the color in the mature color library, and when the similarity between the color of the quasi-ripe fruit and the color in the mature color library is b, it is judged to be a mature fruit.

2. A method for identifying the growth period of bayberry based on monitoring close-view function according to claim 1, characterized in that: Determining the fruit size includes measuring the distance from the monitoring camera (200) to the bayberry fruit to obtain a distance size coefficient at the distance where the bayberry fruit is located.

3. A method for identifying the growth period of waxberry based on monitoring close-view function according to claim 2, characterized in that: The monitoring camera (200) is provided with a laser rangefinder.

4. A method for identifying the growth period of waxberry based on monitoring close-view function according to claim 2 or 3, characterized in that: The determining of the fruit size includes obtaining the pixel value of the diameter of the contour, and the product of the pixel value and the distance size coefficient is the actual diameter of the bayberry fruit.

5. A device for identifying the growth period of bayberry based on monitoring close-view function, characterized in that: include: A monitoring camera (200), wherein the monitoring camera (200) is movably disposed on a bracket via a support platform (210); as well as, The bracket comprises a support portion (100) and a slide rail (110), wherein the slide rail (110) is fixed on the support portion (100), the slide rail (110) is arranged in a ring shape, and the support platform (210) is slidably arranged on the slide rail (110).

6. The device for identifying the growth period of waxberry based on monitoring close-view function according to claim 5, characterized in that: The slide rail (110) comprises a plurality of arc-shaped rails connected end to end.

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