Length measuring and weight estimating device for intelligent breeding based on image recognition

Abstract

The utility model discloses a length measuring and weight estimating device for intelligent cultivation based on image recognition, which belongs to the technical field of length measuring and weight estimating for intelligent cultivation, and is characterized in that the length measuring and weight estimating device comprises a bottom plate, the top of the bottom plate is fixedly connected with a detection mechanism, and the top of the bottom plate is movably connected with an auxiliary mechanism; the detection mechanism comprises a U-shaped fence, two groups of high-definition cameras, an inlet, an outlet, a mounting frame, a PLC, a fixing frame, an induction unit and a top view camera, the U-shaped fence is fixedly connected to the top of the bottom plate, the two groups of high-definition cameras are in threaded connection to the left side of the U-shaped fence and the top of the mounting frame, the inlet is formed in the right side of the U-shaped fence, and the outlet is formed in the left side of the mounting frame. The detection mechanism and the auxiliary mechanism are arranged, the high-definition camera and the top view camera are used for collecting livestock images, the PLC and the data processor are combined for image recognition and weight estimation, livestock does not need to be manually driven to a wagon balance, animal stress is reduced, and the length measurement and weight estimation efficiency is improved.

Description

A smart aquaculture length and weight estimation device based on image recognition Technical Field

[0001] This utility model relates to the field of intelligent aquaculture length and weight estimation technology, and in particular to an intelligent aquaculture length and weight estimation device based on image recognition. Background Technology

[0002] A smart aquaculture length and weight estimation device based on image recognition is an intelligent device that integrates image recognition technology, artificial intelligence algorithms and the needs of aquaculture scenarios. It is mainly used for measuring the size and estimating the weight of individuals in livestock, poultry or aquaculture. It is a key technology and equipment in the field of smart agriculture. The device realizes the automated collection and analysis of growth data of aquaculture individuals through image recognition technology and is a core tool for "data-driven management" in smart aquaculture.

[0003] Animal weight information is one of the important indicators for describing animal growth, health and nutritional status, and daily weight gain is an important reference indicator for judging whether its growth is good or bad. The traditional process of measuring animal weight mainly relies on manually driving the animals onto the weighbridge or electronic scale. This traditional method will cause great stress to the animals, and the personnel driving the animals will spend a lot of time and energy. Under the circumstances of heavy production tasks and personnel shortage, it will be impossible to complete the tedious work of recording animal weight on time, which will have a great impact on subsequent scientific management decisions of animal weight.

[0004] The existing patent (publication number: CN220398697U) includes an image acquisition device and a computer for weight estimation by receiving image information from the image acquisition device. Its characteristic is that it further includes a bracket for mounting the image acquisition device. The bracket includes a vertical pole with a horizontal bar parallel to the ground at its upper end. The image acquisition device is positioned below the outer end of the horizontal bar. It also includes a first buckle mounted on the vertical pole and a second buckle that can be mounted on a fence. The first and second buckles are connected by a connector. The advantages of this invention are: mounting the image acquisition device on the fence using buckles simplifies the structure and avoids the need for tracks, reducing costs; the image acquisition device can be adjusted vertically and horizontally, increasing the image acquisition range.

[0005] To address the aforementioned issues, existing patents have provided solutions. However, existing livestock length and weight estimation devices typically involve manually driving the livestock onto a weighbridge for weighing to estimate their weight. While this method can estimate the weight of livestock, it is inefficient and cannot achieve other effects during the process, making it impractical.

[0006] To address this, a smart aquaculture length and weight estimation device based on image recognition is proposed. Summary of the Invention

[0007] The purpose of this invention is to provide a smart livestock length and weight estimation device based on image recognition, which can solve the problems of existing livestock length and weight estimation devices, which usually involve manually driving livestock onto a weighbridge to measure their weight. Although this method can measure the weight of livestock, it is inefficient and cannot achieve other effects during the length and weight measurement process, thus lacking practicality.

[0008] To achieve the above objectives, this utility model provides the following technical solution: a smart aquaculture length and weight estimation device based on image recognition, comprising a base plate, a detection mechanism fixedly connected to the top of the base plate, and an auxiliary mechanism movably connected to the top of the base plate;

[0009] The detection mechanism includes a U-shaped fence, two sets of high-definition cameras, an inlet, an outlet, a mounting bracket, a PLC controller, a fixing bracket, an inducer, and a top-view camera. The U-shaped fence is fixedly connected to the top of the base plate. The two sets of high-definition cameras are respectively threaded to the left side of the U-shaped fence and the top of the mounting bracket. The inlet is located on the right side of the U-shaped fence, and the outlet is located on the front side of the U-shaped fence. The mounting bracket is fixedly connected to the top of the base plate, and the PLC controller is fixedly connected to the right side of the mounting bracket. The fixing bracket is fixedly installed on the top of the U-shaped fence, and the outlet is located diagonally below the right side of the fixing bracket. The inducer and the top-view camera are fixedly connected to the bottom of the fixing bracket.

[0010] Preferably, the auxiliary mechanism includes a weighbridge and an anti-slip mat. The weighbridge is movably connected to the top of the base plate, the weighbridge is movably connected to the lower left side of the fixed frame, and the anti-slip mat is movably connected to the top of the inlet and outlet.

[0011] Preferably, the mounting bracket is fixedly connected to the right side of the exit, and a measuring ruler is fixedly connected to the inner wall of the U-shaped fence.

[0012] Preferably, the inner wall of the mounting bracket is provided with an observation window, and a guide line is fixedly connected to the top of the base plate.

[0013] Preferably, an assembly frame is fixedly connected to the top of the U-shaped fence, and a supplementary light is fixedly connected to the bottom of the assembly frame.

[0014] Preferably, a data processor is fixedly connected to the top of the mounting frame, and the weighbridge is movably connected to the end of the guide line.

[0015] Preferably, the supplementary light is fixedly connected between the two sets of high-definition cameras, and the two sides of the U-shaped fence are movably connected with installation doors.

[0016] Preferably, the bottom of the high-definition camera is fixedly connected to a mounting plate, which is threadedly connected to the top of the U-shaped fence and the mounting frame.

[0017] Compared with the prior art, the beneficial effects of this utility model are:

[0018] 1. This application sets up a detection and auxiliary mechanism, uses high-definition cameras and top-view cameras to collect livestock images, and combines PLC controllers and data processors to perform image recognition and weight estimation. This eliminates the need for manual herding of livestock onto the weighbridge, reduces animal stress, and improves the efficiency of length and weight measurement.

[0019] 2. This application uses a guide device to guide livestock through the detection area along a fixed route, an anti-slip mat to ensure the safety of the livestock, supplementary lighting to ensure clear images under different lighting conditions, a measuring ruler to assist in calibrating the image size, and a weighbridge to periodically calibrate the weight estimation model and improve measurement accuracy. The synergistic effect of these multiple structures enhances the practicality of the device. Attached Figure Description

[0020] Figure 1 is an overall structural diagram of the image recognition-based intelligent aquaculture length and weight estimation device of this utility model;

[0021] Figure 2 is a partial structural diagram of the right side of the mounting bracket of this utility model;

[0022] Figure 3 is a partial structural schematic diagram of the auxiliary mechanism of this utility model;

[0023] Figure 4 is a partial structural diagram of the bottom of the fixing frame of this utility model;

[0024] Figure 5 is a magnified schematic diagram of a portion of the structure at point A in Figure 4 of this utility model.

[0025] In the diagram: 1. Testing mechanism; 11. U-shaped fence; 12. High-definition camera; 13. Import; 14. Export; 15. Mounting frame; 16. PLC controller; 17. Fixing frame; 18. Guide device; 19. Top-view camera; 2. Auxiliary mechanism; 21. Weighbridge; 22. Observation window; 23. Guide line; 24. Anti-slip mat; 25. Data processor; 26. Measuring ruler; 27. Assembly frame; 28. Supplementary light; 3. Base plate. Detailed Implementation

[0026] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0027] Please refer to Figures 1-5. The technical solution provided by this utility model is as follows:

[0028] A smart aquaculture length and weight estimation device based on image recognition includes a base plate 3, a detection mechanism 1 fixedly connected to the top of the base plate 3, and an auxiliary mechanism 2 movably connected to the top of the base plate 3.

[0029] The testing mechanism 1 includes a U-shaped fence 11, two sets of high-definition cameras 12, an inlet 13, an outlet 14, a mounting bracket 15, a PLC controller 16, a fixing bracket 17, an inducer 18, and a top-view camera 19. The U-shaped fence 11 is fixedly connected to the top of the base plate 3. The two sets of high-definition cameras 12 are respectively threaded to the left side of the U-shaped fence 11 and the top of the mounting bracket 15. The inlet 13 is located on the right side of the U-shaped fence 11, and the outlet 14 is located on the front side of the U-shaped fence 11. The mounting bracket 15 is fixedly connected to the top of the base plate 3. The PLC controller 16 is fixedly connected to the right side of the mounting bracket 15. The fixing bracket 17 is fixedly installed on the top of the U-shaped fence 11. The outlet 14 is located diagonally below the right side of the fixing bracket 17. The inducer 18 and the top-view camera 19 are fixedly connected to the bottom of the fixing bracket 17.

[0030] In this embodiment: the U-shaped fence 11 and mounting frame 15 can be installed on the base plate 3; the high-definition camera 12 can be installed on the U-shaped fence 11; the high-definition camera 12 can collect image data of livestock from multiple angles; the entrance 13 allows livestock to enter the U-shaped fence 11; the exit 14 allows livestock to move out of the U-shaped fence 11; the mounting frame 15 can be installed on the PLC controller 16; the PLC controller 16 can coordinate and control the operating rhythm of each component to ensure that the entire length and weight estimation process is automated and efficient; the fixed frame 17 can be installed on the guide 18 and the top-view camera 19; the guide 18 can guide the livestock; and the top-view camera 19 can collect image data of the livestock from above.

[0031] Specifically, as shown in Figures 2 and 3, the auxiliary mechanism 2 includes a weighbridge 21 and an anti-slip mat 24. The weighbridge 21 is movably connected to the top of the base plate 3 and to the lower left side of the fixed frame 17. The anti-slip mat 24 is movably connected to the top of the inlet 13 and the outlet 14.

[0032] Specifically, as shown in Figures 2, 3, and 5, the mounting bracket 15 is fixedly connected to the right side of the outlet 14, and a measuring ruler 26 is fixedly connected to the inner wall of the U-shaped fence 11.

[0033] Specifically, as shown in Figures 2 and 3, the inner wall of the mounting bracket 15 is provided with an observation window 22, and the top of the base plate 3 is fixedly connected with a guide line 23.

[0034] In this embodiment: the weighbridge 21 can be used to weigh the livestock, and the weighbridge 21 is equipped with a transmitter to transmit the data to the data processor 25 and combine it with the data from the high-definition camera 12 and the top-view camera 19, so that the staff can understand the condition of the livestock more efficiently. The anti-slip mat 24 can be set to ensure the safety of the livestock when walking. The measuring ruler 26 can be set to measure the height of the livestock and facilitate the comparison of images and other data by the high-definition camera 12. The observation window 22 can be set to allow the staff to understand the situation inside the U-shaped fence 11. The guide line 23 can be set to guide the livestock.

[0035] Specifically, as shown in Figures 3, 4, and 5, an assembly frame 27 is fixedly connected to the top of the U-shaped fence 11, and a supplementary light 28 is fixedly connected to the bottom of the assembly frame 27.

[0036] Specifically, as shown in Figures 2 and 3, a data processor 25 is fixedly connected to the top of the fixed frame 17, and the weighbridge 21 is movably connected to the end of the guide line 23.

[0037] In this embodiment: the fill light 28 can be installed by setting the assembly frame 27, the fill light 28 can automatically adjust its brightness according to the ambient light to ensure image quality, and the data processor 25 can process various data such as images and remotely transmit information to staff.

[0038] Specifically, as shown in Figures 2 and 3, the supplementary light 28 is fixedly connected between the two sets of high-definition cameras 12, and the two sides of the U-shaped fence 11 are movably connected with installation doors.

[0039] Specifically, as shown in Figures 3 and 4, a mounting plate is fixedly connected to the bottom of the high-definition camera 12, and the mounting plate is threadedly connected to the top of the U-shaped fence 11 and the mounting bracket 15.

[0040] In this embodiment: by setting an installation door, the entrance 13 and the exit 14 of the U-shaped fence 11 can be restricted, and by setting an installation plate, it is convenient for staff to install the high-definition camera 12.

[0041] Working principle: When livestock need to be measured for length and weight, the staff sends a guiding signal through the inducer 18 to attract the livestock from the entrance 13 into the detection area within the U-shaped fence 11. Guided by the guide line 23, the livestock moves along a fixed route within the U-shaped fence 11. At this time, two sets of high-definition cameras 12 and a top-view camera 19 collect image data of the livestock from the side and top, respectively, and transmit the image data to the data processor 25. The data processor 25 uses built-in image recognition algorithms, such as object detection, image segmentation, and size measurement, to process the images and extract the livestock's body length, width, height, and other dimensional parameters. Then, using a pre-trained weight estimation model, such as a multiple regression model or a deep learning model, it calculates the predicted weight of the livestock. During the process of the livestock passing through the detection area, the anti-slip mat 24 ensures their walking. Safety is ensured by the automatic adjustment of the brightness of the supplementary light 28 according to the ambient light to guarantee image quality. When the weight estimation model needs to be calibrated, the livestock are guided from the exit 14 out of the detection area, through the guide line 23 to the weighbridge 21 for actual weighing. The weighbridge 21 transmits the actual weight data to the data processor 25, which optimizes and updates the weight estimation model based on the actual weight data to improve measurement accuracy. The operation of the device can be observed through the observation window 22 on the mounting frame 15. The PLC controller 16 can coordinate and control the operating rhythm of each component to ensure that the entire length measurement and weight estimation process is automated and efficient. This non-contact image recognition measurement method greatly reduces human intervention, reduces animal stress response, and improves the efficiency and accuracy of length measurement and weight estimation, providing strong support for the data-driven management of smart farming.

[0042] The above are merely preferred embodiments of the present utility model and are not intended to limit the present utility model. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present utility model should be included within the protection scope of the present utility model.

Claims

1. A smart aquaculture length and weight estimation device based on image recognition, comprising a base plate (3), characterized in that: A detection mechanism (1) is fixedly connected to the top of the base plate (3), and an auxiliary mechanism (2) is movably connected to the top of the base plate (3). The detection mechanism (1) includes a U-shaped fence (11), two sets of high-definition cameras (12), an inlet (13), an outlet (14), a mounting bracket (15), a PLC controller (16), a fixing bracket (17), an inducer (18), and a top-view camera (19). The U-shaped fence (11) is fixedly connected to the top of the base plate (3), and the two sets of high-definition cameras (12) are respectively threaded to the left side of the U-shaped fence (11) and the top side of the base plate (3). The mounting bracket (15) is located at the top, the inlet (13) is located on the right side of the U-shaped fence (11), the outlet (14) is located on the front side of the U-shaped fence (11), the mounting bracket (15) is fixedly connected to the top of the base plate (3), the PLC controller (16) is fixedly connected to the right side of the mounting bracket (15), the fixing bracket (17) is fixedly installed at the top of the U-shaped fence (11), the outlet (14) is located at the right side of the fixing bracket (17) and diagonally below it, the guide (18) and the top-view camera (19) are fixedly connected to the bottom of the fixing bracket (17).

2. The image recognition-based intelligent aquaculture length and weight estimation device according to claim 1, characterized in that: The auxiliary mechanism (2) includes a weighbridge (21) and an anti-slip mat (24). The weighbridge (21) is movably connected to the top of the base plate (3). The weighbridge (21) is movably connected to the left side of the fixed frame (17) at an angle. The anti-slip mat (24) is movably connected to the top of the inlet (13) and the outlet (14).

3. The image recognition-based intelligent aquaculture length and weight estimation device according to claim 1, characterized in that: The mounting bracket (15) is fixedly connected to the right side of the outlet (14), and a measuring ruler (26) is fixedly connected to the inner wall of the U-shaped fence (11).

4. The image recognition-based intelligent aquaculture length and weight estimation device according to claim 1, characterized in that: The inner wall of the mounting bracket (15) is provided with an observation window (22), and the top of the base plate (3) is fixedly connected with a guide line (23).

5. The image recognition-based intelligent aquaculture length and weight estimation device according to claim 1, characterized in that: An assembly frame (27) is fixedly connected to the top of the U-shaped fence (11), and a supplementary light (28) is fixedly connected to the bottom of the assembly frame (27).

6. The image recognition-based intelligent aquaculture length and weight estimation device according to claim 2, characterized in that: A data processor (25) is fixedly connected to the top of the fixed frame (17), and the weighbridge (21) is movably connected to the end of the guide line (23).

7. A length and weight estimation device for intelligent aquaculture based on image recognition according to claim 5, characterized in that: The supplementary light (28) is fixedly connected between two sets of high-definition cameras (12), and the U-shaped fence (11) is movably connected to the two sides with installation doors.

8. The image recognition-based intelligent aquaculture length and weight estimation device according to claim 1, characterized in that: The bottom of the high-definition camera (12) is fixedly connected to a mounting plate, which is threadedly connected to the top of the U-shaped fence (11) and the mounting bracket (15).

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