Automatic large yellow croaker grading and sorting device based on machine vision
By designing a machine vision-based automatic grading and sorting device for large yellow croakers, the problems of low manual sorting efficiency, high cost and high fish body damage rate in the prior art are solved, and efficient and automated grading and sorting of large yellow croakers are achieved.
Patent Information
- Application Number
- CN202510158224.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-13
- Publication Date
- 2025-05-27
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the prior art, the classification and sorting of yellow croaker in factory-based circulating water farming mainly relies on labor, and there are problems such as low efficiency, high labor investment, and high damage rate to fish.
An automatic grading and sorting device for large yellow croakers based on machine vision is designed, including a conveying system, identification and detection system, control system and sorting system. The large yellow croakers are automatically identified through the visual system, measured the size, estimated the weight and plumpness, and graded and sorted.
The automated grading and sorting of yellow croaker has been realized, which improves sorting efficiency, reduces labor costs, and reduces damage to fish.
Smart Images

Figure CN120036369A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of aquatic product processing, and particularly to an automatic grading and sorting device for large yellow croakers based on machine vision. Background Art
[0002] Large yellow croakers belong to marine fish. They have delicious meat, rich nutrition, and high economic value. In the artificial breeding of large yellow croakers, the industrialized recirculating aquaculture mode is adopted. The domestic industrialized recirculating aquaculture mode has been vigorously promoted and developed. Among them, the water treatment technology and equipment have been quite mature, but the development of production auxiliary equipment such as intelligent feeding, grading, and catching is still imperfect. Especially, the intelligent sorting technology and equipment for industrialized recirculating aquaculture ponds are rarely involved. At present, the grading of cultured fish is mainly carried out by manual sorting, which has problems such as low efficiency, high labor input, and high damage rate to fish bodies.
[0003] Based on this, the present invention provides an automatic grading and sorting device for large yellow croakers based on machine vision. Summary of the Invention
[0004] In view of the deficiencies of the prior art, the present invention provides an automatic grading and sorting device for large yellow croakers based on machine vision, which has the advantages of being able to automatically identify large yellow croakers through a vision system, automatically measure dimensions, estimate weight and fatness, and grade and sort large yellow croakers, and solves the problems raised in the background art.
[0005] The present invention provides the following technical solutions: An automatic grading and sorting device for large yellow croakers based on machine vision, comprising a conveying system, an identification and detection system, a control system, and a sorting system:
[0006] The conveying system includes a conveyor belt, a conveyor belt variable frequency speed regulating motor, conveyor belt baffles, and a conveyor belt support. The top of the conveyor belt support is bolted with a conveyor belt. The drive shaft on the left side of the conveyor belt is connected to the output shaft of the conveyor belt variable frequency speed regulating motor. Conveyor belt baffles are fixedly installed on both sides of the conveyor belt;
[0007] The identification and detection system includes a sampling box, a light source, an L-shaped bracket, a camera, an industrial control tablet computer, a rubber sheet, and a grading rotary lever. The industrial control tablet computer is arranged outside the sampling box. A light source is arranged at the top of the cavity of the sampling box. The sampling box is bolted with an L-shaped bracket. The L-shaped bracket is bolted with a camera. A grading rotary lever is bolted to the left side of the sampling box. A rubber sheet is fixedly connected to the bottom of the grading rotary lever;
[0008] The control system includes a grating sensor and a PLC controller. The two sides of the conveyor belt baffle are respectively connected with the grating sensor by bolts, and the grating sensor is connected with the PLC controller through a wire harness;
[0009] The sorting system includes a rotary lever motor, a rotating shaft, a slideway and a grading rotary lever. The rotary lever motor is fixedly installed on the outer side of the conveyor belt baffle. The output shaft of the rotary lever motor is fixedly connected with the rotating shaft. The surface of the rotating shaft is provided with the grading rotary lever, and the slideway is fixedly installed on the outer side of the conveyor belt baffle.
[0010] Preferably, the sampling box is composed of [number of aluminum profiles] aluminum profiles and [number of stainless steel plates] stainless steel plates, and the sampling box is connected to the conveyor belt by bolts.
[0011] Preferably, the number of the rubber sheets is [number of groups].
[0012] Preferably, a conveyor belt variable frequency speed regulation motor is fixedly installed on the outer side of the conveyor belt baffle, and a through hole is opened on the outer side of the conveyor belt baffle, and the inside of the through hole is fitted with the output shaft of the conveyor belt variable frequency speed regulation motor.
[0013] Preferably, the number of the conveyor belt brackets is two groups.
[0014] Preferably, a wire harness hole is opened at the top of the sampling box, the number of the light sources is four groups, and the four groups of light sources are distributed in a quadrilateral shape.
[0015] Preferably, a round hole is opened on the slideway, and the rotating shaft is located at the center inside the round hole.
[0016] Preferably, the size of the sampling box is 700 mm in length, 450 mm in width and 600 mm in height, and the height of the front and rear slots of the sampling box is 150 mm.
[0017] Preferably, the size of the rubber sheet is 416 mm in length and 180 mm in height.
[0018] Preferably, the slideway is installed obliquely on the side of the conveyor belt baffle.
[0019] Compared with the prior art, the present invention has the following beneficial effects:
[0020] Please note that some numbers in the original text are missing specific values in the provided content, so they are represented as [number of aluminum profiles], [number of stainless steel plates], [number of groups] in the translation. You need to fill in the correct values according to the actual situation.The automatic grading and sorting device for large yellow croakers based on machine vision is assembled by combining a conveying system, an identification and detection system, a control system, and a sorting system. The sampling box is placed above the conveyor belt and fixed to the side conveyor belt baffle by bolt connection. The grating sensor is installed inside the conveyor belt, positioned below the camera. The grading rotary lever is located at the end of the conveyor belt. After turning on the power of all devices, the camera is set to the automatic sampling mode. When the large yellow croaker is conveyed to the position of the grating sensor, the sensor signal is triggered, causing the camera to automatically sample the large yellow croaker, and the image is automatically transmitted to the large yellow croaker identification and grading system in the industrial control tablet computer. This system measures the body length, total length, and body height data of the large yellow croaker, estimates the weight and fatness of the large yellow croaker, and thus evaluates its grade, completing the grading and counting of the large yellow croaker images. The industrial control system will control different grading rotary levers according to the grading results of the large yellow croaker identification and grading system, classify the large yellow croakers by grade, calculate the opening and closing time of the grading rotary lever through the feedback signal of the grating sensor and the running speed of the conveyor belt, thus completing the grading and sorting of the large yellow croakers. Moreover, the rubber sheet of this device is fixed to the side of the sampling box with bolts, which is used to separate the overlapping large yellow croakers and lay them flat on the conveyor belt, facilitating the system to better identify each large yellow croaker. The adjustable L-shaped bracket is installed at the top of the sampling box, and the working distance of the camera is adjustable, enabling better adaptation and adjustment according to requirements. During the whole operation process, it solves the problem that the current grading of cultured fish mainly adopts the manual sorting method, which has problems such as low efficiency, high labor input, and high fish body damage rate. This device can automatically identify large yellow croakers through the vision system, automatically measure the size, estimate the weight and fatness, grade and sort the large yellow croakers, improve the sorting efficiency by setting grading standards, reduce the labor cost input, cause little damage to the fish body, has strong practicability, and is more in line with the current requirements for the sorting process of large yellow croakers. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] Figure 1 It is a schematic diagram of the overall structure of the device of the present invention;
[0022] Figure 2 It is a schematic diagram of the internal structure of the sampling box of the present invention;
[0023] Figure 3 It is a schematic top view of the conveyor belt of the present invention;
[0024] Figure 4 For the present invention Figure 1 schematic left side structure diagram;
[0025] Figure 5 It is a schematic left side structure diagram of the sampling box of the present invention;
[0026] Figure 6 It is a schematic structure diagram showing the installation state of the L-shaped bracket and the camera of the present invention.
[0027] In the figure: 1. Sampling box; 101. Wiring harness hole; 102. Light source; 103. L-shaped bracket; 104. Camera; 2. Conveyor belt; 3. Industrial control tablet computer; 4. Conveyor belt variable frequency speed regulation motor; 5. Conveyor belt baffle; 6. Conveyor belt support; 7. Grating sensor; 8. Rubber sheet; 9. Rotating lever motor; 10. Rotating shaft; 11. Slideway; 12. Grading rotating lever. Specific implementation manner
[0028] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0029] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific implementation manners.
[0030] The large yellow croaker is a fish of the genus Larimichthys in the family Sciaenidae of the order Perciformes, also known as yellow croaker, yellow fish, big fresh, and cucumber. Its body is elongated and laterally compressed; the otolith is slightly shield-shaped; the head and the front part of the body are covered with cycloid scales, and the rear part of the body is covered with ctenoid scales; the lateral line is complete; the swim bladder is large, and the two sides do not protrude to form lateral sacs; the dorsal fin is continuous, and there is a deep notch between the fin spine part and the fin ray part; the caudal peduncle is thin, and the caudal fin is wedge-shaped. The back of the body is grayish-yellow; each scale in the lower part of the body side often has a golden gland and is golden; the dorsal fin and caudal fin are grayish-yellow, and the rest of the fins are yellow. It inhabits the soft mud or muddy sand bottom sea area within 60 meters of water depth and likes to gather in groups. It has a wide range of feeding habits and mainly feeds on crustaceans such as shrimps and crabs and small fish. It reproduces in spring and usually spawns near estuaries, inner bays, and islands. The large yellow croaker has the functions of enhancing immunity: the large yellow croaker is rich in high-quality protein, various amino acids, and trace elements, which are helpful to enhance the human body's immunity, improve resistance, and promote intellectual development: the large yellow croaker contains rich unsaturated fatty acids, which are crucial for the development of the brain and nervous system, can promote intellectual development and improve memory, and can also protect cardiovascular health: the Omega-3 fatty acids in the large yellow croaker help reduce the levels of cholesterol and triglycerides in the blood, reduce the risk of thrombus formation, thereby protecting cardiovascular health and preventing cardiovascular diseases, and at the same time improving eyesight: the nutrients such as vitamin A and DHA in the large yellow croaker can help protect the retina, prevent eye diseases such as xerophthalmia and night blindness, and are helpful to improve eyesight, and can also promote wound healing: the high-quality protein and various vitamins contained in the large yellow croaker help promote cell regeneration and tissue repair and can accelerate wound healing.
[0031] Yellow croaker is silvery white during the day and golden at night. Night fishing is to cater to the market preference for yellow croaker with a golden body. Yellow croaker appears golden due to its golden skin glands, but it is easily decomposed and faded by ultraviolet rays. Therefore, the same yellow croaker caught at night and during the day has completely two prices. At seven or eight o'clock when it is getting dark, the skilled sorting workers hired by the farmers in the village have taken their positions, and supervisors from major channels have also arrived at the boat at the same time to determine the situation of the yellow croaker in their own offshore fishing cages, and lift the fish nets of the cages from the water. The golden yellow croaker in the frame reveals its true appearance, and there is a quacking sound on the water surface. A huge ice water tank has been prepared next to the net cage. After the yellow croaker is caught with a net bag, it must be quickly poured into the ice water tank and covered with a red light-proof cloth. The yellow croaker remains golden and faints in the ice water for less than 10 minutes, entering a semi-dead state. It can then enter the sorting and packing stage, followed by the weighing, sorting, ice-adding, and packaging process that lasts until 12 a.m. These yellow croakers will flow to various major sales channels.
[0032] The main purpose of grading and sorting large yellow croaker is to ensure the quality and sales value of the fish, while improving production efficiency. The grading and sorting process of large yellow croaker includes multiple steps: first, after being caught at night, the large yellow croaker will be quickly placed in ice water to make it faint, and then sorted, weighed, iced and packaged within 10 minutes. The specific standards for grading and sorting include the fatness, body shape, appearance, etc. of the fish. Efficient and accurate grading can be achieved through automated equipment. The purpose of grading and sorting is to improve product quality and market value. Through grading, large yellow croaker can be divided into different grades to meet different market needs.
[0033] At present, farmed fish are mainly graded by manual sorting, which has the problems of low efficiency, high labor input, and high fish damage rate. In addition, the yellow croaker cannot be graded in a standardized manner during the sorting process, which will cause yellow croaker that exceeds the grade standard or does not meet the standard to be placed in different grade boxes, which will indirectly lead to cost losses.
[0034] See also Figures 1-6, A large yellow croaker automatic grading and sorting device based on machine vision, including a conveying system, an identification and detection system, a control system, and a sorting system. First, sample, weigh, and manually measure the phenotypic characteristics of large yellow croakers of multiple different specifications. Measure the body weight, body length, total length, body height, and body thickness of the large yellow croakers, record the data, match the images with their phenotypic dimensions one by one, and sequentially record the phenotypic data of the large yellow croakers to form a large yellow croaker phenotypic image and data sample library. Then, use image processing and machine learning technologies to identify the large yellow croaker target, find the phenotypic characteristics, calculate the pixel size, and construct a regression equation between the pixel size and the actual size, so that the machine can calculate the actual size of the fish based on the captured image; construct a regression equation between the body weight and phenotypic size of the large yellow croaker, so that the machine can estimate its weight based on the phenotypic size of the large yellow croaker; construct a regression equation between the grade and fatness of the large yellow croaker, so that the machine can calculate its fatness based on the phenotypic size of the large yellow croaker, thereby determining the grade of the large yellow croaker. Then, assemble the conveying system, identification and detection system, control system, and sorting system. The sampling box 1 is placed above the conveyor belt 2 and fixed to the conveyor belt baffle 5 on the side of the conveyor belt 2 by bolt connection. The grating sensor 7 is installed inside the conveyor belt 2, at a position below the camera 104. The grading rotary lever 12 is located at the end of the conveyor belt 2. Turn on the power of all devices, set the camera 104 to the automatic sampling mode. When the large yellow croaker is conveyed to the position of the grating sensor 7, trigger the sensor signal to make the camera 104 automatically sample the large yellow croaker, and the image is automatically transmitted to the large yellow croaker identification and grading system of the industrial control tablet computer 3. This system measures the body length, total length, and body height data of the large yellow croaker, estimates the body weight and fatness of the large yellow croaker, thereby evaluating its grade, completing the grading and counting of the large yellow croaker image. The industrial control system will control different grading rotary levers 12 according to the grading results of the large yellow croaker identification and grading system to classify the large yellow croakers by grade, and calculate the opening and closing time of the grading rotary lever 12 through the feedback signal of the grating sensor 7 and the running speed of the conveyor belt, thereby completing the grading and sorting of the large yellow croakers:
[0035] The conveying system includes a conveyor belt 2, a conveyor belt variable frequency speed regulating motor 4, conveyor belt baffles 5, and a conveyor belt support 6. The top of the conveyor belt support 6 is connected with the conveyor belt 2 by bolts. The driving shaft on the left side of the conveyor belt 2 is connected with the output shaft of the conveyor belt variable frequency speed regulating motor 4. Conveyor belt baffles 5 are respectively and fixedly installed on both sides of the conveyor belt 2. The length, width, and height of the conveyor belt 2 are 2m, 0.5m, and 0.8m respectively. The belt type of the conveyor belt 2 is a plastic plate chain, with a width of 0.4m. The thickness of the conveyor belt baffles 5 on both sides is 5mm. The belt moving speed is adjustable, and the speed range is 0 - 7m / min;
[0036] The recognition and detection system includes a sampling box 1, a light source 102, an L-shaped bracket 103, a camera 104, an industrial control tablet computer 3, a rubber sheet 8, and a grading rotary lever 12. An industrial control tablet computer 3 is arranged on the outer side of the sampling box 1. The industrial control tablet computer 3 is installed on the side of the sampling box 1 and is connected to the camera 104, a grating sensor 7, and the grading rotary lever 12. An large yellow croaker recognition and grading system is installed on the industrial control tablet computer 3 for the recognition, grading, and sorting control of large yellow croakers. A light source 102 is arranged at the top of the cavity of the sampling box 1. The light source 102 adopts 4 groups of LED strip lights and is distributed in a square shape around the camera 104 for sampling fill light. The sampling box 1 is bolted to an L-shaped bracket 103, and the L-shaped bracket 103 is bolted to the camera 104. The sampling frame rate of the camera 104 is 24 frames / s. The camera 104 is installed at the top of the sampling box 1 by using an adjustable L-shaped bracket 103, and the working distance of the camera 104 is adjustable, with the adjustment range being 400 mm - 500 mm. A grading rotary lever 12 is bolted to the left side of the sampling box 1, and a rubber sheet 8 is fixedly connected to the bottom of the grading rotary lever 12. The sampling box 1 is composed of 12 aluminum profiles and 5 stainless steel plates and is fixed on the conveyor belt 2 in a bolted connection manner. The size of the sampling box 1 is 700 mm in length, 450 mm in width, and 600 mm in height, and the height of the front and rear slots of the sampling box is 150 mm;
[0037] The control system includes a grating sensor 7 and a PLC controller. Grating sensors 7 are respectively bolted to both sides of the conveyor belt baffle 5. The grating sensor 7 is connected to the PLC controller through a wire harness. The grating sensor 7 is installed on the conveyor belt 2 and is used for the positioning and position calculation of the target large yellow croaker;
[0038] The sorting system includes a rotary lever motor 9, a rotary shaft 10, a slideway 11, and a grading rotary lever 12. A rotary lever motor 9 is fixedly installed on the outer side of the conveyor belt baffle 5. The output shaft of the rotary lever motor 9 is fixedly connected to a rotary shaft 10. The surface of the rotary shaft 10 is provided with a grading rotary lever 12. A slideway 11 is fixedly installed on the outer side of the conveyor belt baffle 5. The slideway 11 is provided with a round hole, and the rotary shaft 10 is located at the center inside the round hole.
[0039] Among them, the sampling box 1 is composed of 12 aluminum profiles and 5 stainless steel plates, and the sampling box 1 is bolted to the conveyor belt 2.
[0040] Among them, the number of rubber sheets 8 is 8 groups. The 8 rubber sheets 8 are fixed to the side of the sampling box 1 with bolts, with a length of 416 mm and a height of 180 mm, and are used to separate the overlapping large yellow croakers and lay them flat on the conveyor belt 2 to facilitate the system to better identify each large yellow croaker.
[0041] Among them; a conveyor belt frequency conversion speed regulating motor 4 is fixedly installed on the outer side of the conveyor belt baffle 5, and a through hole is opened on the outer side of the conveyor belt baffle 5, and the inside of the through hole is fitted with the output shaft of the conveyor belt frequency conversion speed regulating motor 4.
[0042] Among them; the number of conveyor belt brackets 6 is two groups.
[0043] Among them; a wire harness hole 101 is opened at the top of the sampling box 1, and the number of light sources 102 is four groups, and the four groups of light sources 102 are distributed in a quadrilateral shape.
[0044] Working principle: First, sample, weigh, and manually measure the phenotypic characteristics of large yellow croakers of different specifications. Measure the weight, body length, total length, body height, and body thickness of the large yellow croakers, record the data, match the images with their phenotypic sizes one by one, and record the phenotypic data of the large yellow croakers in sequence to form a phenotypic image and data sample library of large yellow croakers. Then, use image processing and machine learning technologies to identify the large yellow croaker target, find the phenotypic characteristics, calculate the pixel size, and construct a regression equation between the pixel size and the actual size, so that the machine can calculate the actual size of the fish according to the captured image; construct a regression equation between the weight and phenotypic size of the large yellow croaker, so that the machine can estimate its weight according to the phenotypic size of the large yellow croaker; construct a regression equation between the grade and fatness of the large yellow croaker, so that the machine can calculate its fatness according to the phenotypic size of the large yellow croaker, and thus determine the grade of the large yellow croaker. Then, assemble the conveying system, identification and detection system, control system, and sorting system. The sampling box 1 is placed above the conveyor belt 2 and fixed on the side conveyor belt baffle 5 of the conveyor belt 2 in a bolt connection manner. The grating sensor 7 is installed inside the conveyor belt 2, and its position is below the camera 104. The grading rotary lever 12 is located at the end of the conveyor belt 2. Turn on the power of all devices, set the camera 104 to the automatic sampling mode. When the large yellow croaker is conveyed to the position of the grating sensor 7, the sensor signal is triggered, so that the camera 104 automatically samples the large yellow croaker, and the image is automatically transmitted to the large yellow croaker identification and grading system of the industrial control tablet computer 3. This system measures the body length, total length, and body height data of the large yellow croaker, estimates the weight and fatness of the large yellow croaker, and thus evaluates its grade, completes the grading and counting of the large yellow croaker images. The industrial control system will control different grading rotary levers 12 according to the grading results of the large yellow croaker identification and grading system, classify the large yellow croakers according to their grades, and calculate the opening and closing time of the grading rotary lever 12 through the feedback signal of the grating sensor 7 and the running speed of the conveyor belt, so as to complete the grading and sorting of the large yellow croakers.
[0045] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or elements inherent to such process, method, article or device.
[0046] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A large yellow croaker automatic grading and sorting device based on machine vision, characterized in that: Including conveying system, identification and detection system, control system and sorting system: The conveying system comprises a conveyor belt (2), a conveyor belt variable frequency speed regulating motor (4), a conveyor belt baffle (5) and a conveyor belt bracket (6); the top of the conveyor belt bracket (6) is connected to the conveyor belt (2) by bolts, the driving shaft on the left side of the conveyor belt (2) is connected to the output shaft of the conveyor belt variable frequency speed regulating motor (4), and the conveyor belt baffles (5) are fixedly installed on both sides of the conveyor belt (2); The identification and detection system comprises a sampling box (1), a light source (102), an L-shaped bracket (103), a camera (104), an industrial control tablet computer (3), a rubber sheet (8) and a graded rotating lever (12); the industrial control tablet computer (3) is arranged on the outside of the sampling box (1); the light source (102) is arranged on the top of the cavity of the sampling box (1); the sampling box (1) is connected to the L-shaped bracket (103) by bolts; the L-shaped bracket (103) is connected to the camera (104) by bolts; the left side of the sampling box (1) is connected to the graded rotating lever (12) by bolts; the bottom of the graded rotating lever (12) is fixedly connected to the rubber sheet (8); The control system comprises a grating sensor (7) and a PLC controller, the two sides of the conveyor belt baffle (5) are respectively connected to the grating sensor (7) by bolts, and the grating sensor (7) is connected to the PLC controller by a wiring harness; The sorting system comprises a rotary lever motor (9), a rotating shaft (10), a slideway (11) and a grading rotary lever (12); the rotary lever motor (9) is fixedly mounted on the outer side of the conveyor belt baffle (5); the output shaft of the rotary lever motor (9) is fixedly connected to the rotating shaft (10); the surface of the rotating shaft (10) is provided with a grading rotary lever (12); and the slideway (11) is fixedly mounted on the outer side of the conveyor belt baffle (5).
2. The automatic grading and sorting device for large yellow croaker based on machine vision according to claim 1, characterized in that: The sampling box (1) is composed of 12 aluminum profiles and 5 stainless steel plates. The sampling box (1) is connected to the conveyor belt (2) by bolts.
3. The automatic grading and sorting device for large yellow croaker based on machine vision according to claim 1, characterized in that: The number of the rubber sheets (8) is 8 groups.
4. The automatic grading and sorting device for large yellow croaker based on machine vision according to claim 1, characterized in that: A conveyor belt variable frequency speed regulating motor (4) is fixedly mounted on the outer side of the conveyor belt baffle (5), and a through hole is opened on the outer side of the conveyor belt baffle (5), and the interior of the through hole fits with the output shaft of the conveyor belt variable frequency speed regulating motor (4).
5. The automatic grading and sorting device for large yellow croaker based on machine vision according to claim 1, characterized in that: The number of the conveyor belt supports (6) is two groups.
6. The automatic grading and sorting device for large yellow croaker based on machine vision according to claim 1, characterized in that: A harness hole (101) is provided on the top of the sampling box (1), and the number of the light sources (102) is four groups, which are distributed on four sides.
7. The automatic grading and sorting device for large yellow croaker based on machine vision according to claim 1, characterized in that: The slideway (11) is provided with a circular hole, and the rotating shaft (10) is located at the center of the circular hole.
8. The automatic grading and sorting device for large yellow croaker based on machine vision according to claim 1, characterized in that: The dimensions of the sampling box (1) are 700 mm in length, 450 mm in width and 600 mm in height, and the height of the front and rear slots of the sampling box (1) is 150 mm.
9. The automatic grading and sorting device for large yellow croaker based on machine vision according to claim 1, characterized in that: The dimensions of the rubber sheet (8) are 416 mm in length and 180 mm in height.
10. The automatic grading and sorting device for large yellow croaker based on machine vision according to claim 1, characterized in that: The slideway (11) is installed in an inclined state on the side of the conveyor belt baffle (5).
Citation Information
Patent Citations
Live eel weight grade sorting method and device based on machine vision
CN110841935A
Intelligent grading system and intelligent grading method for fusiform fish vaccine injection
CN114982692A
River crab quality grading device and method based on visual inspection
CN116273984A
Full-automatic sorting system for large yellow croaker quality grading and defective product removing
CN116671545A
Pseudo-ginseng main root detecting, grading and sorting device based on machine vision
CN214417031U
Cited By
Larimichthys crocea grading catching intelligent sorting device and method
CN121753851A
Nondestructive detection classifier for large yellow croaker scales
CN122162827A