Anti-reflection insect sticking plate data collection and detection device

Abstract

The utility model discloses an anti-reflection insect sticking plate data collection and detection device, and mainly relates to the field of intelligent agriculture. Comprising a box body with an opening in the top, an insect sticking plate is placed at the bottom in the box body, a telescopic rod is arranged on the outer side of one end of the box body, a fastening bolt used for fixing the length of the telescopic rod is in threaded connection with the telescopic rod, a transverse rod is arranged at the top end of the telescopic rod, and a camera electrically connected with the Raspberry Pi is arranged at the end, away from the telescopic rod, of the transverse rod. The beneficial effects of the utility model reside in that the insect sticking plate is placed at the inner bottom of the box body, the box body prevents external sundries from adhering to the insect sticking plate in the shooting process, the accuracy of data analysis is ensured, light around the insect sticking plate can be shielded, the problems of light reflection, light pollution and the like in the shooting process are avoided, the quality and the effect of shot pictures are ensured, and the shooting efficiency is improved. And then the collected pictures are transmitted to the inside of the Raspberry Pi, and corresponding types and numbers are quickly and accurately counted by using a deployed corresponding target recognition algorithm, so that the method is more practical.

Description

Technical Field

[0001] The utility model relates to the field of smart agriculture, and particularly to an anti-reflective data collection and detection device for sticky insect boards. Background Art

[0002] At present, smart agriculture projects have come into the public eye, especially in the related industries of cotton pests. In order to accurately apply pesticides according to the types and quantities of pests, we first use sticky insect boards to collect pests, then use cameras to take pictures and upload them, and then use relevant technical means to identify the types and quantities of pests, and finally apply pesticides according to actual needs to solve pests and increase cotton yields. Therefore, how to better collect pest samples is a crucial issue.

[0003] When shooting sticky insect boards by traditional means, since the sticky insect boards are directly exposed, there will be problems such as reflection and light pollution during shooting, which affect the quality and effect of the captured pictures. In addition, when the sticky insect boards are exposed for shooting, foreign debris will be adhered to the sticky insect boards and will be captured. When identifying the types and categories of pests, manual detection may result in misjudgment due to subjective initiative, affecting the accuracy of data analysis and having poor practicability. Content of the Utility Model

[0004] The purpose of the utility model is to provide an anti-reflective data collection and detection device for sticky insect boards. It uses a box body to prevent foreign debris from adhering to the sticky insect board during shooting, ensuring the accuracy of data analysis. It can also block the light around the sticky insect board to avoid problems such as reflection and light pollution during shooting. Then, the collected pictures are transmitted to the inside of the Raspberry Pi, and the corresponding object recognition algorithm deployed is used to quickly and accurately count the corresponding types and quantities, which is more practical.

[0005] To achieve the above object, the utility model is realized through the following technical solutions:

[0006] An anti-reflective data collection and detection device for sticky insect boards includes a box body with an open top. A sticky insect board is placed at the bottom inside the box body. An expansion rod is provided on the outer side of one end of the box body. A fastening bolt for fixing the length of the expansion rod is threadedly connected to the expansion rod. A cross bar is provided at the top of the expansion rod. A camera electrically connected to the Raspberry Pi is provided at one end of the cross bar away from the expansion rod, and the camera is located above the box body.

[0007] Further, a placement opening is provided at the end of the box body away from the expansion rod, and box doors are hinged on both sides of the placement opening.

[0008] Further, a fixing frame is hinged to one end of the inner bottom surface of the box body through a torsion spring, and the edge of the sticky insect board is pressed by the fixing frame.

[0009] Further, the cross bar and the telescopic rod are hinged through a damping shaft.

[0010] Further, a light bar is provided on the inner side wall of the box body.

[0011] Further, walking wheels with brake pads are provided at the bottom of the box body.

[0012] Further, the Raspberry Pi includes a data acquisition module, a data storage module, a main control module, a target recognition module, and a power supply module.

[0013] Compared with the prior art, the beneficial effects of the present utility model are as follows:

[0014] In this patent, the sticky insect board is placed at the bottom inside the box body, and the box body is used to enclose the periphery of the sticky insect board to prevent foreign impurities from adhering to the sticky insect board during the shooting process, avoid the existence of interfering objects in the captured pictures, prevent misjudgment and incorrect analysis of the system, ensure the accuracy of data analysis, and the box body can also block the light around the sticky insect board, avoid problems such as reflection and light pollution during shooting, ensure the quality and effect of the captured pictures, and the shooting results can use the yolov5 target recognition algorithm deployed inside the Raspberry Pi to quickly and accurately identify the types and quantities of pests with the help of artificial intelligence, which is beneficial to calculating the pest classification situation in the cotton field, beneficial to implementing corresponding pest control measures subsequently, more convenient for analysis, more practical, and more conducive to popularization and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] FIG Figure 1 is the front view structural schematic diagram of the present utility model.

[0016] FIG Figure 2 is the top view structural schematic diagram of the present utility model.

[0017] FIG Figure 3 is the left view structural schematic diagram of the present utility model.

[0018] FIG Figure 4 is the structural schematic diagram of the Raspberry Pi of the present utility model.

[0019] Reference numerals shown in the drawings:

[0020] 1. Box body; 2. Telescopic rod; 3. Tightening bolt; 4. Cross bar; 5. Camera; 6. Placement opening; 7. Box door; 8. Fixed frame; 9. Light bar; 10. Walking wheel. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] The present utility model will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present utility model and not to limit the scope of the present utility model. In addition, it should be understood that after reading the content taught by the present utility model, those skilled in the art can make various changes or modifications to the present utility model, and these equivalent forms also fall within the scope defined by this application.

[0022] The present utility model relates to a data collection and detection device for an anti-reflection sticky insect board. The main structure includes a box body 1 with an open top. A sticky insect board is placed at the bottom inside the box body 1. The box body 1 surrounds the periphery of the sticky insect board to prevent foreign objects from adhering to the sticky insect board during the shooting process, avoid the presence of interfering objects in the captured images, prevent misjudgment and incorrect analysis of the system, and the box body 1 can also block the light around the sticky insect board to avoid problems such as reflection and light pollution during shooting, ensuring the quality and effect of the captured images. An expansion rod 2 is provided on the outer side of one end of the box body 1. A fastening bolt 3 for fixing the length of the expansion rod 2 is threadedly connected to the expansion rod 2. A cross bar 4 is provided at the top end of the expansion rod 2. A camera 5 electrically connected to the Raspberry Pi is provided at one end of the cross bar 4 away from the expansion rod 2. The Raspberry Pi is a mature component in the prior art, and its specific principle will not be elaborated here. The camera 5 is located above the box body 1, and the height of the camera 5 is adjusted and fixed through the expansion rod 2, thereby adjusting the shooting distance. The Raspberry Pi includes a data acquisition module, a data storage module, a main control module, a target recognition module, and a power supply module. Among them, the data acquisition module is the camera 5 connected to the Raspberry Pi in this patent, which is responsible for taking good-quality photos of the sticky insect board, saving the photos through the data storage module, and then transmitting them to the main control module of the Raspberry Pi to call the target recognition module, which has a yolov5 algorithm program to perform target detection and recognition on the captured photos, quickly and accurately analyze the types and quantities of pests on the sticky insect board, and save them at the same time. The power supply module is 5V, which is beneficial to calculating the classification of pests in the cotton field and implementing corresponding pest control measures subsequently.

[0023] Preferably, a placement opening 6 is provided at one end of the box body 1 away from the expansion rod 2. Two box doors 7 are hinged on both sides of the placement opening 6, which is convenient to open the box doors 7 to place the sticky insect board into the box body 1 for convenient operation.

[0024] Preferably, one end of the inner bottom surface of the box body 1 is hinged with a fixed frame 8 through a torsion spring. By pressing and fixing the edge of the sticky insect board with the fixed frame 8, the use effect is better in cooperation with the above-mentioned box door 7. The hinged part of the fixed frame 8 is located at one end of the box body 1 away from the box door 7. There are borderless frames at both ends of the sticky insect board. The width of the hollow part in the middle of the fixed frame 8 is greater than the width of the sticky insect board, so that both ends of the fixed frame 8 just press on these two borderless frames, which can well press and fix the sticky insect board, and can also ensure that the sticky insect board is fully unfolded, prevent curling, prevent the captured pictures from being blurred due to the movement of the sticky insect board during the shooting process, and prevent the captured pictures from being incomplete due to the curling of the sticky insect board during the shooting process, ensuring the quality of the picture shooting.

[0025] During the shooting process, there are requirements for different shooting angles. Preferably, the cross bar 4 and the telescopic rod 2 are hinged through a damping shaft. Rotating the cross bar 4 can adjust the shooting angle of the camera 5, and the damping shaft can also fix the rotation angle of the cross bar 4, so as to flexibly adjust and fix the shooting angle of the camera 5 to meet the requirements of different shooting angles.

[0026] Preferably, a light strip 9 is provided on the inner side wall of the box body 1, and a switch for controlling the light strip 9 is provided outside the box body, which can better reduce reflection, prevent the pollution of other lights, and also play a certain role in filling light.

[0027] Preferably, the bottom of the box body 1 is provided with traveling wheels 10 with brake pads, which is convenient for moving at any time and collecting the sticky insect board by shooting at an appropriate place, which is flexible and convenient.

[0028] This patent uses the box body 1 to enclose the periphery of the sticky insect board, preventing foreign objects from adhering to the sticky insect board during the shooting process, preventing misjudgment and incorrect analysis of the system, ensuring the accuracy of data analysis, and the box body 1 can also block the light around the sticky insect board, avoiding problems such as reflection and light pollution during shooting, ensuring the quality and effect of the captured pictures, and the shooting results can quickly and accurately identify the types and quantities of pests through the yolov5 target recognition algorithm deployed inside the Raspberry Pi, which is beneficial to calculating the pest classification situation in the cotton field and is beneficial to implementing corresponding pest control measures subsequently, being more practical.

Claims

1. An anti-reflective data collection and detection device for sticky insect boards, characterized in that: It includes a box body (1) with an opening at the top. A sticky insect board is placed on the inner bottom of the box body (1). An expansion rod (2) is provided on the outer side of one end of the box body (1). A fastening bolt (3) for fixing the length of the expansion rod (2) is threadedly connected to the expansion rod (2). A cross bar (4) is provided at the top end of the expansion rod (2). A camera (5) electrically connected to the Raspberry Pi is provided at one end of the cross bar (4) away from the expansion rod (2). The camera (5) is located above the box body (1).

2. The data collection and detection device for an anti-reflective sticky pest board according to claim 1, characterized in that: A placement opening (6) is provided at the end of the box body (1) away from the expansion rod (2). Two sides of the placement opening (6) are hinged with a box door (7).

3. The data collection and detection device for an anti-reflective sticky insect board according to claim 1, characterized in that: One end of the inner bottom surface of the box body (1) is hinged with a fixing frame (8) through a torsion spring, and the edge of the sticky insect board is pressed and fixed by the fixing frame (8).

4. The data collection and detection device for an anti-reflective sticky insect board according to claim 1, wherein: The cross bar (4) and the expansion rod (2) are hinged through a damping shaft.

5. The data collection and detection device for an anti-reflective sticky insect board according to claim 1, wherein: A light bar (9) is provided on the inner side wall of the box body (1).

6. The data collection and detection device for an anti-reflective sticky insect board according to claim 1, characterized in that: Walking wheels (10) with brake pads are provided at the bottom of the box body (1).

7. The data collection and detection device for an anti-reflective sticky insect board according to claim 1, characterized in that: The Raspberry Pi includes a data acquisition module, a data storage module, a main control module, a target recognition module, and a power supply module.

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