Chicken and duck cutting system and method based on intelligent visual recognition

Abstract

The present application belongs to the technical field of poultry slaughtering and processing, and particularly relates to a chicken and duck slitting system based on intelligent visual recognition, comprising: an image acquisition module; an image processing and recognition module; a slitting execution module; and a control module.In the technical solution, the image acquisition module acquires image information of chicken and duck carcasses at a slitting station, the image processing and recognition module receives the acquired image information, and a deep learning algorithm is used to identify key parts and contours of the chicken and duck, determine an optimal slitting path and position, and drive the slitting execution module to travel according to the preset optimal slitting path and position through the control module, so that the slitting execution module accurately performs chicken and duck slitting operations.The chicken and duck slitting system based on intelligent visual recognition in the technical solution improves the accuracy and efficiency of slitting, ensures the stability and consistency of product quality, reduces labor costs and labor intensity, and improves the production efficiency and market competitiveness of enterprises.

Description

Technical Field

[0001] This invention belongs to the field of poultry slaughtering and processing technology, and particularly relates to a chicken and duck cutting system based on intelligent visual recognition, and a cutting method for the chicken and duck cutting system based on intelligent visual recognition. Background Technology

[0002] Chicken and duck are common ingredients in daily life. Chicken and duck cutting is an important step in the meat processing industry. Its purpose is to divide whole chickens and ducks into standardized products that meet market demands. The efficiency and accuracy of the cutting process directly affect product quality, production costs, and corporate profits.

[0003] Traditional chicken and duck cutting is done manually, relying on skilled workers to use knives for manual division. This method suffers from problems such as low cutting accuracy, slow efficiency, and difficulty in ensuring consistent product quality, and cannot meet the needs of modern large-scale production.

[0004] To address the aforementioned issues, a chicken and duck cutting system based on intelligent visual recognition is designed, along with a cutting method for the chicken and duck cutting system based on intelligent visual recognition. Summary of the Invention

[0005] To address the problems in the prior art, the present invention proposes the following technical solution:

[0006] A chicken and duck cutting system based on intelligent visual recognition includes:

[0007] Image acquisition module, which acquires image information of chicken and duck carcasses placed at the cutting station;

[0008] The image processing and recognition module receives image information acquired by the image acquisition module and uses deep learning algorithms to identify key parts and outlines of chickens and ducks, and determines the optimal cutting path and position.

[0009] The cutting execution module precisely executes the chicken and duck cutting operation.

[0010] The control module drives the splitting execution module to proceed according to the preset optimal splitting path and position.

[0011] As a preferred embodiment of the above technical solution, the slicing execution module includes a slicing device, which includes:

[0012] A dividing box is provided with a first material outlet, a second material outlet, and a third material outlet. The first material outlet is located on the front side of the dividing box, and the second and third material outlets are respectively distributed on the left and right sides of the dividing box.

[0013] A positioning component is installed inside the dividing box. The positioning component includes an upper push rod and a lower push rod that are distributed opposite each other in the vertical direction. The upper push rod and the lower push rod are respectively assembled on the top wall and the bottom wall of the dividing box.

[0014] Two sets of cutting components are set inside the dividing box and distributed on both sides of the positioning component. The cutting components include a cutting blade, a support roller, and a three-axis moving module that matches the cutting blade and the support roller respectively.

[0015] The material collection assembly includes multiple rollers, and the same conveyor belt is fitted on the multiple rollers. The conveyor belt passes through material inlet two and material inlet three, and the conveyor belt has holes for matching push rods.

[0016] As a preferred embodiment of the above technical solution, the drive system in the three-axis moving module adopts a servo drive system, which controls the cutting path through a high-precision servo motor to ensure the stability and response speed of the cutting.

[0017] As a preferred embodiment of the above technical solution, the positioning component further includes a stamped part disposed at the output end of the lower push rod;

[0018] The stamped part includes a cylinder A, a top block, and an air bladder. The cylinder A and the top block are connected by a cylinder B. The air bladder covers the end of the cylinder A, the entire cylinder B, and the entire top block. Gas is injected into or discharged from the air bladder.

[0019] As a preferred embodiment of the above technical solution, the cylinder A is sealed and slidably fitted with a piston rod connected to the output end of the lower push rod, a spring is provided between the cylinder A and the lower push rod, gas is injected into the cylinder A, the cylinder A is connected to the cylinder B, and a through hole is provided on the cylinder B to connect the air bladder and the cylinder A.

[0020] As a preferred embodiment of the above technical solution, the lower push rod is provided with a flange A, the cylinder A is provided with a flange B, and the spring is sleeved on the piston rod and assembled between flange A and flange B.

[0021] As a preferred embodiment of the above technical solution, a slider is provided on the piston rod, and a groove is provided on the inner wall of the cylinder A, with the slider slidingly engaging with the groove.

[0022] The chicken and duck cutting method based on intelligent visual recognition includes the following steps:

[0023] S1. Image Acquisition: Place the chickens and ducks to be cut at the cutting station, and the image acquisition module acquires the image information of the chicken and duck carcasses;

[0024] S2, Image Processing: The image acquisition module acquires image information of chicken and duck carcasses and transmits it to the image processing and recognition module. The image processing and recognition module receives the image information and uses deep learning algorithms to identify the key parts and contours of the chicken and duck, and determines the optimal cutting path and position.

[0025] S3, Slicing: The control module drives the slicing execution module to move along the preset optimal slicing path and position, and the slicing execution module accurately executes the chicken and duck slicing operation.

[0026] The beneficial effects of this invention are as follows:

[0027] In this technical solution, an image acquisition module acquires image information of chicken and duck carcasses at the slitting station. An image processing and recognition module receives the acquired image information and uses deep learning algorithms to identify key parts and contours of the chickens and ducks, determining the optimal slitting path and position. A control module drives the slitting execution module to move along the preset optimal slitting path and position, precisely executing the chicken and duck slitting operation. The intelligent visual recognition-based chicken and duck slitting system in this technical solution improves slitting accuracy and efficiency, ensures product quality stability and consistency, reduces labor costs and intensity, and enhances the company's production efficiency and market competitiveness. Attached Figure Description

[0028] Figure 1 The diagram shown is a schematic representation of the chicken and duck cutting system based on intelligent visual recognition in Example 1.

[0029] Figure 2 The diagram shown is a schematic diagram of the internal structure of the chicken and duck cutting system based on intelligent visual recognition in Example 1;

[0030] Figure 3 The diagram shown is a structural schematic of the stamped part in Embodiment 1;

[0031] Figure 4 What is shown is Figure 3 A cross-sectional schematic diagram of a stamped part.

[0032] Attached reference numerals: Dividing box 10; Feed inlet 11; Feed inlet 2 12; Feed inlet 3 13;

[0033] Positioning assembly 20; upper push rod 21; lower push rod 22; flange A221; stamped part 23; piston rod 231; cylinder A232; spring 233; cylinder B234; top block 235; air bag 236; slider 237; slide groove 238; flange B239;

[0034] 30; 31; 32; slitting assembly;

[0035] Material collection assembly 40; conveyor belt 41; roller 42; hole 43. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments.

[0037] Example 1

[0038] A chicken and duck cutting system based on intelligent visual recognition includes:

[0039] Image acquisition module: The image acquisition module acquires image information of chicken and duck carcasses placed at the cutting station;

[0040] The image processing and recognition module receives image information acquired by the image acquisition module and uses deep learning algorithms to identify key parts and outlines of chickens and ducks, and determines the optimal cutting path and position.

[0041] The segmentation execution module precisely executes the chicken and duck segmentation operation.

[0042] The control module drives the splitting execution module to proceed according to the preset optimal splitting path and position.

[0043] The chicken and duck cutting method based on intelligent visual recognition includes the following steps:

[0044] S1. Image Acquisition: Place the chickens and ducks to be cut at the cutting station, and the image acquisition module acquires the image information of the chicken and duck carcasses;

[0045] S2, Image Processing: The image acquisition module acquires image information of chicken and duck carcasses and transmits it to the image processing and recognition module. The image processing and recognition module receives the image information and uses deep learning algorithms to identify the key parts and contours of the chicken and duck, and determines the optimal cutting path and position.

[0046] S3, Slicing: The control module drives the slicing execution module to move along the preset optimal slicing path and position, and the slicing execution module accurately executes the chicken and duck slicing operation.

[0047] In this technical solution, an image acquisition module acquires image information of chicken and duck carcasses at the slitting station. An image processing and recognition module receives the acquired image information and uses deep learning algorithms to identify key parts and contours of the chickens and ducks, determining the optimal slitting path and position. A control module drives the slitting execution module to move along the preset optimal slitting path and position, precisely executing the chicken and duck slitting operation. The intelligent visual recognition-based chicken and duck slitting system in this technical solution improves slitting accuracy and efficiency, ensures product quality stability and consistency, reduces labor costs and intensity, and enhances the company's production efficiency and market competitiveness.

[0048] like Figure 1 , Figure 2 As shown, the slitting execution module includes a slitting device, which includes a slitting box 10. The slitting box 10 is provided with a material outlet 11, a material outlet 2 12 and a material outlet 3 13. The material outlet 11 is located on the front side of the slitting box 10, and the material outlet 2 12 and the material outlet 3 13 are respectively distributed on the left and right sides of the slitting box 10.

[0049] The positioning component 20 is disposed inside the dividing box 10. The positioning component 20 includes an upper push rod 21 and a lower push rod 22 that are relatively distributed in the vertical direction. The upper push rod 21 and the lower push rod 22 are respectively assembled on the top wall and the bottom wall of the dividing box 10.

[0050] Two sets of cutting components 30 are set inside the dividing box 10 and distributed on both sides of the positioning component 20. Each cutting component 30 includes a cutting blade 31, a support roller 32, and a three-axis moving module that matches the cutting blade 31 and the support roller 32 respectively. The drive system in the three-axis moving module adopts a servo drive system. The servo drive system controls the cutting path through a high-precision servo motor to ensure the stability and response speed of the cutting.

[0051] The material collection assembly 40 includes multiple rollers 42, each equipped with a drive unit to rotate it. A common conveyor belt 41 is mounted on each roller 42, and the conveyor belt 41 travels in the following direction: Figure 2 As shown by the arrow, the conveyor belt 41 passes through the material inlet 2 12 and the material inlet 3 13, and the conveyor belt 41 has a hole 43 that matches the lower push rod 22.

[0052] The specific operation process of the chicken and duck cutting system based on intelligent visual recognition in this technical solution is as follows:

[0053] 1. The overall length of the lower push rod 22 is extended to the through hole 43. The chickens and ducks to be cut are placed on the lower push rod 22 through the feed inlet 11. The chickens and ducks are hung on the lower push rod 22 by using the position of their abdominal cavity, with their heads facing upwards.

[0054] 2. Control the overall length of the lower push rod 22 to continue to extend, driving the chicken and duck to move upward until they abut against the lower end of the upper push rod 21. The upper push rod 21 and the lower push rod 22 complete the clamping and fixing of the chicken and duck. At this time, the chicken and duck are in the cutting position.

[0055] 3. The support roller 32 moves to support the legs and wings of the chicken and duck in sequence. The cutting blade 31 moves to cut the legs and wings in sequence. The cut legs and wings fall onto the conveyor belt 41.

[0056] 4. The overall length of the lower push rod 22 shortens, causing the chickens and ducks to move downwards synchronously. When they move onto the conveyor belt 41, the chickens and ducks are blocked by the conveyor belt 41 and detach from the lower push rod 22. After the lower push rod 22 shortens to below the conveyor belt 41, the conveyor belt 41 moves to the left, causing the cut chickens and ducks to be discharged from the feed inlet 3 13.

[0057] The cutting execution module in this technical solution uses a cutting device to complete the cutting operation. The positioning component 20 clamps and fixes the chickens and ducks at the cutting station. The cutting component 30 performs the cutting operation on the clamped and fixed chickens and ducks. The material collection component 40 has a material picking function and collects the cut chickens and ducks. The cutting execution module in this technical solution completes the stable cutting of chickens and ducks and ensures the cutting effect.

[0058] To further improve the stability of chickens and ducks at the cutting station during the cutting process, such as... Figure 2 , Figure 3 , Figure 4 As shown, the positioning assembly 20 also includes a stamping part 23 disposed at the output end of the lower push rod 22; the stamping part 23 includes a cylinder A232, a top block 235 and an air bladder 236, the cylinder A232 and the top block 235 are connected by a cylinder B234, the air bladder 236 covers the end of the cylinder A232, the entire cylinder B234 and the entire top block 235, and gas is injected or discharged in the air bladder 236; when positioning of chickens and ducks is required, gas is injected into the air bladder 236, and when the chickens and ducks need to be removed after cutting, the gas in the air bladder 236 is discharged.

[0059] Using the abdominal cavity of the chicken or duck, it is hung on the lower push rod 22 with its head facing upward. After the upper push rod 21 and the lower push rod 22 complete the clamping and positioning of the chicken or duck, gas is injected into the air bladder 236. The air bladder 236 expands in the abdominal cavity of the chicken or duck and supports its abdomen. The setting of the stamping part 23 keeps the chicken or duck in an expanded state during the cutting process, which is conducive to the cutting work.

[0060] Meanwhile, a combination of cylinder A232, cylinder B234, top block 235, and airbag 236 is adopted. Cylinder A232, cylinder B234, and top block 235 constitute the main structure of stamped part 23, supporting the chickens and ducks and ensuring the support strength. Cylinder A232, cylinder B234, and top block 235 also constitute the support of airbag 236, so that airbag 236 has an initial shape. At the same time, there is a gap between cylinder B234 and airbag 236 to set the expansion path of airbag 236.

[0061] To further optimize the inflation and deflation of airbag 236, improve the continuity of the cutting process, and reduce operation time; such as Figure 3 , Figure 4As shown, the cylinder A232 is sealed and slidably fitted with a piston rod 231 connected to the output end of the lower push rod 22. A spring 233 is provided between the cylinder A232 and the lower push rod 22. Gas is injected into the cylinder A232. The cylinder A232 is connected to the cylinder B234. A through hole is provided on the cylinder B234 to connect the air bag 236 and the cylinder A232.

[0062] After the lower push rod 22 extends and moves the chickens and ducks upward until it contacts the lower end of the upper push rod 21 and is clamped and fixed, the extension of the lower push rod 22 continues. Due to the fixed position of the upper push rod 21, the lower push rod 22 moves the piston rod 231 into the cylinder A232. At this time, the gas in the cylinder A232 is squeezed into the inside of the cylinder B234 and injected into the air bladder 236 through the through hole to complete the inflation work. At this time, the spring 233 is compressed. After the cutting operation is completed, the lower push rod 22 shortens and moves the chickens and ducks downward. First, under the action of the spring 233, the piston rod 231 extends out of the cylinder A232. Then, with the help of the elastic properties of the air bladder 236, the gas injected into the air bladder 236 is discharged from the air bladder 236 and enters the inside of the cylinder A232 to complete the exhaust work.

[0063] In this technical solution, the positioning component 20 has an added stamped part 23 at the output end of the lower push rod 22, which extends the overall length of the lower push rod 22. During the process of clamping and fixing the chickens and ducks, the inflation work is completed simultaneously, without the need for a separate inflation process. When the overall length of the lower push rod 22 shortens and moves the chickens and ducks downward, the deflation work is completed, without the need for a separate deflation process, saving operation time and ensuring the continuity of the cutting work.

[0064] To resolve the issue of the spring 233 being assembled between the cylinder A232 and the lower push rod 22, such as... Figure 3 , Figure 4 As shown, the lower push rod 22 is provided with a flange A221, the cylinder A232 is provided with a flange B239, and the spring 233 is sleeved on the piston rod 231 and assembled between the flange A221 and the flange B239; at the same time, the flange B239 covers the upper end of the spring 233 to prevent debris generated during the cutting process from affecting the spring 233.

[0065] To ensure the stability of the positioning component 20 structure and guarantee the positioning effect of chickens and ducks at the cutting station, such as Figure 4 As shown, a slider 237 is provided on the piston rod 231, and a groove 238 is provided on the inner wall of the cylinder A232. The slider 237 and the groove 238 slide in cooperation.

[0066] When the piston rod 231 reciprocates inside the cylinder A232, the slider 237 is located inside the slide groove 238 and slides with it. The sliding engagement of the slider 237 and the slide groove 238 prevents the piston rod 231 and the cylinder A232 from rotating in the circumferential direction, which would affect the positioning effect of the positioning component 20 on the chickens and ducks. At the same time, the slider 237 is confined inside the slide groove 238 to prevent the piston rod 231 from disengaging from the cylinder A232, ensuring the sealing between the piston rod 231 and the cylinder A232 and preventing gas leakage inside the cylinder A232.

[0067] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it.

Claims

1. A chicken and duck cutting system based on intelligent visual recognition, characterized in that, include: Image acquisition module, which acquires image information of chicken and duck carcasses placed at the cutting station; The image processing and recognition module acquires image information of chicken and duck carcasses at the cutting station, receives the acquired image information through the image processing and recognition module, and uses deep learning algorithms to identify key parts and contours of the chicken and duck, and determine the optimal cutting path and position. The cutting execution module precisely executes the chicken and duck cutting operation. The control module drives the splitting execution module to proceed according to the preset optimal splitting path and position; The slitting execution module includes a slitting device, which includes a slitting box (10). The slitting box (10) is provided with a material inlet 1 (11), a material inlet 2 (12), and a material inlet 3 (13). The material inlet 1 (11) is located on the front side of the slitting box (10), and the material inlet 2 (12) and the material inlet 3 (13) are respectively distributed on the left and right sides of the slitting box (10). The positioning component (20) is installed inside the dividing box (10). The positioning component (20) includes an upper push rod (21) and a lower push rod (22) that are distributed opposite to each other in the vertical direction. The upper push rod (21) and the lower push rod (22) are respectively assembled on the top wall and the bottom wall of the dividing box (10). The positioning component (20) also includes a stamping part (23) disposed at the output end of the lower push rod (22); The stamped part (23) includes a cylinder A (232), a top block (235) and an air bladder (236). The cylinder A (232) and the top block (235) are connected by a cylinder B (234). The air bladder (236) covers the end of the cylinder A (232), the entire cylinder B (234) and the entire top block (235). Gas is injected or discharged in the air bladder (236). The cylinder A (232) is sealed and slidably fitted with a piston rod (231) connected to the output end of the lower push rod (22). A spring (233) is provided between the cylinder A (232) and the lower push rod (22). Gas is injected into the cylinder A (232). The cylinder A (232) is connected to the cylinder B (234). The cylinder B (234) has a through hole connecting the air bag (236) and the cylinder A (232).

2. The chicken and duck cutting system based on intelligent visual recognition according to claim 1, characterized in that, Also includes: Two sets of cutting components (30) are set inside the dividing box (10) and distributed on both sides of the positioning component (20). The cutting components (30) include a cutting blade (31), a support roller (32), and a three-axis moving module that matches the cutting blade (31) and the support roller (32) respectively. The material collection assembly (40) includes a plurality of rollers (42), and the same conveyor belt (41) is fitted on the plurality of rollers (42). The conveyor belt (41) passes through the material inlet two (12) and the material inlet three (13). The conveyor belt (41) has holes (43) for matching the lower push rod (22).

3. The chicken and duck cutting system based on intelligent visual recognition according to claim 2, characterized in that, The drive system in the three-axis moving module adopts a servo drive system, which controls the cutting path through a high-precision servo motor to ensure the stability and response speed of the cutting.

4. The chicken and duck cutting system based on intelligent visual recognition according to claim 1, characterized in that, The lower push rod (22) is provided with a flange A (221), the cylinder A (232) is provided with a flange B (239), and the spring (233) is sleeved on the piston rod (231) and assembled between flange A (221) and flange B (239).

5. The chicken and duck cutting system based on intelligent visual recognition according to claim 1, characterized in that, The piston rod (231) is provided with a slider (237), and the inner wall of the cylinder A (232) is provided with a groove (238), and the slider (237) slides in cooperation with the groove (238).

6. The cutting method of the chicken and duck cutting system based on intelligent visual recognition according to any one of claims 1-5, characterized in that, Includes the following steps: S1. Image Acquisition: Place the chickens and ducks to be cut at the cutting station, and the image acquisition module acquires the image information of the chicken and duck carcasses; S2, Image Processing: The image acquisition module acquires image information of chicken and duck carcasses and transmits it to the image processing and recognition module. The image processing and recognition module receives the image information and uses deep learning algorithms to identify the key parts and contours of the chicken and duck, and determines the optimal cutting path and position. S3, Slicing: The control module drives the slicing execution module to move along the preset optimal slicing path and position, and the slicing execution module accurately executes the chicken and duck slicing operation.

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