Intelligent fruit and vegetable detection device based on contour recognition and method thereof
By designing an intelligent fruit and vegetable detection device based on contour recognition, using the even-allocated components and adjustment components to deal with fruit and vegetable accumulation, the problem of stacking in fruit and vegetable detection affecting the detection effect is solved, and efficient and accurate fruit and vegetable detection and classification are achieved.
Patent Information
- Application Number
- CN202510194514.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-21
- Publication Date
- 2025-05-23
AI Technical Summary
During the appearance detection process of fruit and vegetable, fruit and vegetable accumulation can easily affect the accuracy of image acquisition and the accuracy of fruit and vegetable classification.
An intelligent fruit and vegetable detection device based on contour recognition is designed, using uniform distribution and adjustment components through components such as T-shaped screw nuts and rubber rods. The uniform distribution and accumulation of fruits and vegetables are achieved through the cooperation of reciprocating screws and worms, and the adjustment components are coordinated by magnetic blocks and compression springs to achieve uniform distribution and stacking of fruits and vegetables.
It effectively avoids the impact of fruit and vegetable accumulation on image acquisition and classification, improves detection efficiency and accuracy, and at the same time, the image acquisition module is kept clean through the dust removal component, ensuring the accuracy of detection.
Smart Images
Figure CN120028331A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of fruit and vegetable appearance detection, and in particular to an intelligent fruit and vegetable detection device and method based on contour recognition. Background Art
[0002] With the development of my country's economy, people's living standards are constantly improving, and people's requirements for food are getting higher and higher. The inspection of fruits and vegetables before leaving the factory is becoming more and more stringent and more and more automated. Automated appearance inspection of fruits and vegetables is an indispensable part of it.
[0003] In order to improve the efficiency of inspection and save labor costs, intelligent equipment is usually used to inspect the appearance of fruits and vegetables. However, during the inspection process, construction workers pour the fruits and vegetables on the top of the conveyor. This pouring method easily causes the fruits and vegetables to pile up, which in turn easily affects the effect of subsequent fruit and vegetable image acquisition and the accuracy of subsequent fruit and vegetable classification.
[0004] In view of the above problems, an intelligent fruit and vegetable detection device and method based on contour recognition are proposed. Summary of the invention
[0005] The object of the present invention is to provide an intelligent fruit and vegetable detection device and method based on contour recognition, and the above-mentioned problems are solved by working with the device.
[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an intelligent fruit and vegetable detection device based on contour recognition, comprising a conveyor and a bracket located at the other side of the conveyor, a detection box is arranged on the periphery of the bracket, a spreading component is arranged at the top of the conveyor near one side, an adjustment component is arranged on the spreading component, two placement slots are arranged at the other side of the bracket, a manipulator is arranged at the rear side of the bracket near the other side, an image acquisition module is fixedly installed at the top of the inner cavity of the detection box, a dust removal component is arranged at the other side of the image acquisition module, fill lights are fixedly installed at the front and rear sides of the inner cavity of the detection box near the top, a preprocessing module and a contour extraction module are respectively fixedly installed at the top of the detection box near the two sides, a feature analysis module is fixedly installed at the rear side of the detection box near the top, an intelligent classification module is arranged at the bottom of the feature analysis module, a feedback control module is arranged at the bottom of the intelligent classification module, a plurality of rollers A are rotatably connected to the front side of the inner cavity of the bracket, the rear ends of the rollers A all move through the rear side of the inner cavity of the bracket, and rollers B are rotatably connected to the opposite side of the bracket near the other side;
[0007] The balancing component includes a mounting frame fixedly installed on the rear side of the conveyor near the top and an L-shaped plate A fixedly installed on the other side of the rear side of the mounting frame. A driving motor A is fixedly installed on the front side of the L-shaped plate A, and a worm is fixedly installed on the terminal of the power output shaft of the driving motor A. A worm gear is meshed with the top of the worm gear, and a reciprocating screw is penetrated at the center of one side of the worm gear, and the two ends of the reciprocating screw are respectively movably penetrated through the two sides of the mounting frame, and a T-shaped screw nut is movably sleeved on the outer periphery of the reciprocating screw near the other end, a connecting block is provided on the front side of the T-shaped screw nut, and a plurality of rubber rods are fixedly installed on the bottom of the connecting block.
[0008] Furthermore, a limiting block is fixedly installed on the rear side of the T-shaped screw nut, one side of the limiting block movably penetrates the limiting rod, and both ends of the limiting rod are respectively fixedly connected to the side walls of the inner cavity of the mounting frame.
[0009] Furthermore, a trapezoidal block is fixedly installed on the rear side of the connecting block, a plurality of ball bearings are installed on the rear side of the trapezoidal block, a trapezoidal groove is opened on the front side of the T-shaped screw nut, and the trapezoidal block is slidably connected in the inner cavity of the trapezoidal groove, a rolling groove is opened on the front side of the inner cavity of the trapezoidal groove, and the ball bearings are slidably connected in the inner cavity of the rolling groove.
[0010] Furthermore, a guide block is fixedly installed on one side of the conveyor near the other side, and a plurality of installation grooves are opened on the opposite side of the guide block, and guide rollers are rotatably connected to the top and bottom of the inner cavity of the installation groove.
[0011] Furthermore, an L-shaped plate B is fixedly installed on the rear side of the bracket near one side, and a driving motor B is fixedly installed on the front side of the L-shaped plate B. The power output shaft terminal of the driving motor B is fixedly connected to the rear end of the adjacent roller A. A synchronous wheel is fixedly sleeved on the outer periphery of the roller A near the rear end, and several synchronous wheels are connected through a synchronous belt transmission.
[0012] Furthermore, the adjustment assembly includes a bent rod fixedly installed on the front side of the connecting block and a T-shaped rod fixedly installed on the rear end of the bent rod. A circular groove is opened on the front side of the conveyor, and the rear end of the T-shaped rod is movably inserted in the inner cavity of the circular groove. A magnetic block A is fixedly sleeved on the outer periphery of the T-shaped rod near the middle position, and mounting columns are fixedly installed near the two sides of the front side of the conveyor, and a compression spring is fixedly installed between the mounting column and the magnetic block A.
[0013] Furthermore, magnetic blocks B and C are fixedly installed on the front side of the conveyor near both sides, and magnetic blocks B and C are located on both sides of the circular groove. Magnetic block D is arranged on the top of magnetic block C, and magnetic block D is fixedly connected to the conveyor.
[0014] Furthermore, the dust removal assembly includes an eccentric wheel fixedly sleeved on the outer periphery of the worm near the middle position and a movable plate located on one side of the eccentric wheel, a T-shaped piston is fixedly installed on one side of the movable plate near the middle position, and a cylinder is provided on the outer periphery of the T-shaped piston, and one side of the cylinder is fixedly connected to the L-shaped plate A, an air intake pipe and an exhaust pipe are respectively inserted at the top and bottom of the cylinder, and a one-way valve is provided on the outer periphery of the air intake pipe and the exhaust pipe, a hose is fixedly installed at the bottom end of the exhaust pipe, a cleaning nozzle is fixedly installed at the top of the inner cavity of the detection box near the other side, and the air inlet end of the cleaning nozzle passes through the rear side of the inner cavity of the detection box, and one end of the hose is fixedly connected to the air inlet pipe of the cleaning nozzle.
[0015] Furthermore, a reset telescopic rod is fixedly installed near the four sides of one side of the movable plate, one end of the reset telescopic rod is fixedly connected to the L-shaped plate A, a reset spring is movably sleeved on the outer periphery of the reset telescopic rod, and the two ends of the reset spring are respectively fixedly connected to the L-shaped plate A and the movable plate.
[0016] A method for using an intelligent fruit and vegetable detection device based on contour recognition comprises the following steps:
[0017] S1: Turn on the power of the device, and then pour the fruits and vegetables to be processed on the top of the conveyor.
[0018] S2: When the conveyor is working, the fruits and vegetables placed on it can be transported to the next step. During the transportation process, the external controller can be started to rotate the power output shaft of the driving motor A. The rotation of the power output shaft of the driving motor A can drive the worm fixed on the terminal of the power output shaft of the driving motor A to rotate. The reciprocating screw can be rotated through the worm wheel meshing with the worm. The T-shaped screw nut movable on the reciprocating screw can be moved back and forth under the limit of the limit block and the limit rod. Under the connection of the connecting block, the accumulated fruits and vegetables can be processed through the rubber rod.
[0019] S3: When the T-shaped lead screw nut moves to the other side, the height of the bent rod can be adjusted with the cooperation of magnetic blocks B, C and D. When the connecting block moves to the other side, the rubber rod can be raised to prevent the bottom end of the rubber rod from contacting the fruits and vegetables, thereby preventing the stacked fruits and vegetables from being pushed to the right.
[0020] S4: When fruits and vegetables fall from the conveyor and land on the top of several rollers A, the fruits and vegetables located on the top of roller A can be rotated by the coordinated use of the L-shaped plate B, the driving motor B, the synchronous wheel and the synchronous belt, and the image of the fruits and vegetables can be captured by the image acquisition module. After the image is captured, the captured image is eliminated and preprocessed by setting a preprocessing module and a contour extraction module, and the contours of the fruits and vegetables are analyzed by the feature analysis module, and the types of fruits and vegetables are identified by the intelligent classification module, and the feedback control module can control the manipulator to place the fruits and vegetables located on the top of roller B in the inner cavity of the placement groove.
[0021] S5: The rotation of the worm can make the eccentric wheel rotate, and then the T-shaped piston can move back and forth in the inner cavity of the cylinder, and the gas is passed into the inner cavity of the cleaning nozzle through the exhaust pipe and the connection of the hose, which can make the gas flow at the bottom of the image acquisition module, avoiding dust adhering to the bottom of the image acquisition module and affecting the accuracy of image acquisition.
[0022] Compared with the prior art, the present invention has the following beneficial effects:
[0023] 1. When placing fruits and vegetables on the top of the conveyor, with the cooperation of the spreading component, the T-shaped screw nut can move back and forth on the outer periphery of the reciprocating screw under the limit of the limit block and the limit rod. The accumulated fruits and vegetables can be processed through the rubber rod fixed at the bottom of the connecting block to prevent the accumulated fruits and vegetables from affecting the accuracy of subsequent image acquisition.
[0024] 2. When the T-shaped lead screw nut moves to the right, with the cooperation of the adjustment component, the magnetic block A can be located at the top of the inner cavity of the circular groove under the limitation of the circular groove, and the connecting block can be moved upward, so as to prevent the rubber rod from continuing to push the accumulated fruits and vegetables when moving to the right and making it close to the other side of the conveyor, affecting the effect of subsequent detection.
[0025] 3. The image acquisition module can be used to acquire images of fruits and vegetables. After the images are acquired, the preprocessing module and the contour extraction module are set to eliminate and preprocess the acquired images, and the contours of the fruits and vegetables are analyzed by the feature analysis module. The types of fruits and vegetables are identified by the intelligent classification module, and the feedback control module can control the manipulator to place the fruits and vegetables located at the top of the drum B in the inner cavity of the placement groove, without manual processing, thereby improving the efficiency of fruit and vegetable processing.
[0026] 4. With the rotation of the worm and the use of the dust removal component, the T-shaped piston can continuously move back and forth in the inner cavity of the cylinder, and the gas is passed into the inner cavity of the cleaning nozzle through the exhaust pipe and the connection of the hose, which can make the gas at the bottom of the image acquisition module flow, preventing dust from adhering to the bottom of the image acquisition module and affecting the accuracy of image acquisition. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] Figure 1 It is a schematic diagram of the overall three-dimensional structure of the present invention;
[0028] Figure 2 This is another perspective overall three-dimensional structural schematic diagram of the present invention;
[0029] Figure 3 It is a partial cross-sectional three-dimensional structural schematic diagram of the present invention;
[0030] Figure 4 It is a schematic diagram of a partial three-dimensional structure of the adjustment component of the present invention;
[0031] Figure 5 It is a schematic diagram of the three-dimensional structure of the conveyor, guide block and guide roller of the present invention;
[0032] Figure 6 It is a schematic diagram of a partially cutaway three-dimensional structure of a connecting block and a rubber rod of the present invention;
[0033] Figure 7 It is a schematic diagram of the upward-looking three-dimensional structure of the image acquisition module, the cleaning nozzle and the fill light of the present invention;
[0034] Figure 8 For the present invention Figure 3 Enlarged view of point A in the middle;
[0035] Fig. 9 For the present invention Figure 5 Enlarged view of point B in the middle;
[0036] Fig.10 For the present invention Figure 6 Enlarged view of point C in the middle;
[0037] Fig.11 For the present invention Figure 6 Enlarged view of point D in the middle;
[0038] Fig.12 For the present invention Figure 6 Enlarged view of point E in the middle.
[0039] In the figure: 1. conveyor; 11. guide block; 12. guide roller; 2. bracket; 21. L-shaped plate B; 22. drive motor B; 23. synchronous wheel; 24. synchronous belt; 3. detection box; 4. image acquisition module; 5. placement slot; 6. manipulator; 7. dust removal component; 71. eccentric wheel; 72. movable plate; 721. reset telescopic rod; 722. reset spring; 73. T-shaped piston; 74. cylinder; 75. hose; 76. cleaning nozzle; 8. averaging component; 81. mounting frame; 82. L-shaped plate A; 83. drive motor A; 84. worm; 85. worm wheel; 86. reciprocating screw; 87. T shaped screw nut; 871, limit block; 872, limit rod; 88, connecting block; 881, trapezoidal block; 882, ball; 883, trapezoidal groove; 884, rolling groove; 89, rubber rod; 9, adjustment component; 91, bending rod; 92, T-shaped rod; 93, circular groove; 94, magnet A; 95, compression spring; 96, mounting column; 961, magnet B; 962, magnet C; 963, magnet D; 10, roller A; 20, roller B; 30, preprocessing module; 40, contour extraction module; 50, fill light; 60, feature analysis module; 70, intelligent classification module; 80, feedback control module. DETAILED DESCRIPTION
[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0041] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.
[0042] The purpose of this embodiment is to provide an intelligent fruit and vegetable detection device based on contour recognition, including a conveyor 1 and a bracket 2 located at the other side of the conveyor 1 (the bracket 2 is slightly tilted downward from left to right, and can move the fruits and vegetables on the roller A10 to the right). A detection box 3 is arranged on the periphery of the bracket 2, and an even distribution component 8 is arranged near one side of the top of the conveyor 1. An adjustment component 9 is arranged on the even distribution component 8. Two placement grooves 5 are arranged on the other side of the bracket 2 (the placement grooves 5 can be used to place fruits and vegetables). A manipulator 6 is arranged near the other side of the rear side of the bracket 2, and a top of the inner cavity of the detection box 3 is fixedly installed. An image acquisition module 4 is installed (the image acquisition module 4 uses a high-resolution camera to ensure that clear and complete images of fruits and vegetables can be captured). A dust removal component 7 is arranged on the other side of the image acquisition module 4. Filling lights 50 are fixedly installed near the top on both sides of the inner cavity of the detection box 3. The filling lights 50 provide light sources when the image acquisition module 4 is collecting images. A pre-processing module 30 and a contour extraction module 40 are fixedly installed near both sides of the top of the detection box 3. (The pre-processing module 30 performs pre-processing operations such as denoising, contrast enhancement, and grayscale conversion on the collected images to provide high-quality image data for subsequent processing. The contour extraction module 40 uses advanced image processing algorithms such as Canny edge detection and Hough transform to extract the contour information of fruits and vegetables, laying the foundation for subsequent feature analysis. A feature analysis module 60 is fixedly installed near the top of the rear side of the detection box 3. The feature analysis module 60 (performs feature analysis on the extracted contour, including the shape, area, perimeter, curvature, etc. of the contour, and combines auxiliary features such as color and texture to construct feature vectors of fruits and vegetables). The bottom of the feature analysis module 60 is provided with an intelligent classification module 70 (the intelligent classification module 70 is based on machine learning algorithms such as support vector machines, random forests, and deep The intelligent classification module 70 is provided with a feedback control module 80 at the bottom thereof (the feedback control module 80 triggers the corresponding feedback mechanism according to the classification result, and realizes the intelligent processing of fruits and vegetables through the manipulator 6). The front side of the inner cavity of the bracket 2 is rotatably connected with a plurality of rollers A10, and the rear ends of the rollers A10 are movable and penetrate the rear side of the inner cavity of the bracket 2. The opposite side of the bracket 2 is rotatably connected with a roller B20 near the other side (the rollers A10 and B20 are large at both ends and small in the middle, so as to ensure that the fruits and vegetables are located in the middle of the roller A10);
[0043] The balancing component 8 includes a mounting frame 81 fixedly installed on the rear side of the conveyor 1 near the top and an L-shaped plate A82 fixedly installed on the other side of the rear side of the mounting frame 81. A driving motor A83 is fixedly installed on the front side of the L-shaped plate A82. A worm 84 is fixedly installed on the terminal of the power output shaft of the driving motor A83. A worm wheel 85 is meshed with the top of the worm 84. A reciprocating screw 86 is penetrated at the center of one side of the worm wheel 85, and the two ends of the reciprocating screw 86 are respectively movably penetrated through the two sides of the mounting frame 81. A T-shaped screw nut 87 is movably sleeved on the outer periphery of the reciprocating screw 86 near the other end. A connecting block 88 is provided on the front side of the T-shaped screw nut 87, and a plurality of rubber rods 89 are fixedly installed at the bottom of the connecting block 88.
[0044] Specifically, when fruits and vegetables are placed on the top of the conveyor 1, with the cooperation of the spreading component 8, the T-shaped screw nut 87 can be limited by the limit block 871 and the limit rod 872 and reciprocate on the outer periphery of the reciprocating screw 86. The rubber rod 89 fixed at the bottom of the connecting block 88 can be used to process the accumulated fruits and vegetables to prevent the accumulated fruits and vegetables from affecting the accuracy of subsequent image acquisition.
[0045] A limiting block 871 is fixedly installed on the rear side of the T-shaped screw nut 87 , one side of the limiting block 871 movably passes through a limiting rod 872 , and both ends of the limiting rod 872 are fixedly connected to the inner cavity side walls of the mounting frame 81 .
[0046] Specifically, by providing the limit block 871 and the limit rod 872, the T-shaped screw nut 87 can be stably moved, thereby improving the stability of its operation.
[0047] A trapezoidal block 881 is fixedly installed on the rear side of the connecting block 88, and a plurality of ball bearings 882 are installed on the rear side of the trapezoidal block 881. A trapezoidal groove 883 is opened on the front side of the T-shaped screw nut 87, and the trapezoidal block 881 is slidably connected in the inner cavity of the trapezoidal groove 883. A rolling groove 884 is opened on the front side of the inner cavity of the trapezoidal groove 883, and the ball bearings 882 are all slidably connected in the inner cavity of the rolling groove 884.
[0048] Specifically, with the cooperation of the adjustment component 9, when the connecting block 88 moves upward, with the cooperation of the rolling groove 884 and the ball 882, the connecting block 88 can move upward quickly.
[0049] A guide block 11 is fixedly installed on one side opposite to the conveyor 1 near the other side. A plurality of mounting grooves are provided on the opposite side of the guide block 11, and guide rollers 12 are rotatably connected to the top and bottom of the inner cavity of the mounting groove.
[0050] Specifically, the fruits and vegetables can be guided by providing a plurality of guide rollers 12 .
[0051] An L-shaped plate B21 is fixedly installed on the rear side of the bracket 2 near one side, and a driving motor B22 is fixedly installed on the front side of the L-shaped plate B21. The power output shaft terminal of the driving motor B22 is fixedly connected to the rear end of the adjacent roller A10. A synchronous wheel 23 is fixedly sleeved on the outer periphery of the roller A10 near the rear end, and several synchronous wheels 23 are connected through a synchronous belt 24.
[0052] Specifically, by providing the driving motor B22 , the synchronous wheel 23 and the synchronous belt 24 , the drum A10 can be rotated, and the fruits and vegetables on the drum A10 can be rotated and moved, which can improve the acquisition effect of the image acquisition module 4 .
[0053] The adjustment component 9 includes a bent rod 91 fixedly installed on the front side of the connecting block 88 and a T-shaped rod 92 fixedly installed on the rear end of the bent rod 91. A circular groove 93 is opened on the front side of the conveyor 1, and the rear end of the T-shaped rod 92 is movably inserted in the inner cavity of the circular groove 93. A magnetic block A94 is fixedly sleeved on the outer periphery of the T-shaped rod 92 near the middle position. Mounting columns 96 are fixedly installed near the two sides of the front side of the conveyor 1, and a compression spring 95 is fixedly installed between the mounting column 96 and the magnetic block A94.
[0054] Specifically, when the T-shaped lead screw nut 87 moves to the right, with the cooperation of the adjusting component 9, the magnetic block A94 can be located at the top of the inner cavity of the circular groove 93 under the restriction of the circular groove 93, and the connecting block 88 can be moved upward, so as to prevent the rubber rod 89 from continuing to push the accumulated fruits and vegetables when moving to the right, and making it close to the other side of the conveyor 1, affecting the effect of subsequent detection.
[0055] A magnet B961 and a magnet C962 are fixedly installed on the front side of the conveyor 1 near both sides (the magnet B961 has the same magnetic properties as the magnet A94, and the magnet C962 has a different magnetic properties from the magnet A94), and the magnet B961 and the magnet C962 are located on both sides of the circular groove 93, and a magnet D963 is arranged on the top of the magnet C962 (the magnet D963 has the same magnetic properties as the magnet A94), and the magnet D963 is fixedly connected to the conveyor 1.
[0056] Specifically, when the T-shaped lead screw nut 87 moves, the T-shaped rod 92 slides in the inner cavity of the circular groove 93. When the T-shaped lead screw nut 87 moves to the far left, under the dual action of the compression spring 95 and the magnetic force, the T-shaped rod 92 can be quickly located at the top of the inner cavity of the circular groove 93. Similarly, when the T-shaped lead screw nut 87 moves to the far right, under the coordinated use of the magnetic block C962 and the magnetic block D963, the T-shaped rod 92 can be quickly located at the bottom of the inner cavity of the circular groove 93.
[0057] The dust removal assembly 7 includes an eccentric wheel 71 fixedly sleeved on the periphery of the worm 84 near the middle position and a movable plate 72 located on one side of the eccentric wheel 71, a T-shaped piston 73 is fixedly installed on one side of the movable plate 72 near the middle position, and a cylinder 74 is movable sleeved on the periphery of the T-shaped piston 73, and one side of the cylinder 74 is fixedly connected to the L-shaped plate A82, an air intake pipe and an exhaust pipe are respectively plugged at the top and bottom of the cylinder 74, and a one-way valve is arranged on the periphery of the air intake pipe and the exhaust pipe, and a hose 75 is fixedly installed at the bottom of the exhaust pipe, and a detection box A cleaning nozzle 76 is fixedly installed at the top of the inner cavity of the detection box 3 near the other side, and the air inlet end of the cleaning nozzle 76 passes through the rear side of the inner cavity of the detection box 3, one end of the hose 75 is fixedly connected to the air inlet pipe of the cleaning nozzle 76, and a reset telescopic rod 721 is fixedly installed near the surrounding of one side of the movable plate 72, one end of the reset telescopic rod 721 is fixedly connected to the L-shaped plate A82, and the outer periphery of the reset telescopic rod 721 is movably sleeved with a reset spring 722, and the two ends of the reset spring 722 are respectively fixedly connected to the L-shaped plate A82 and the movable plate 72.
[0058] Specifically, under the rotation of the worm 84 and through the cooperation of the dust removal assembly 7, the T-shaped piston 73 can continuously move back and forth in the inner cavity of the cylinder 74, and the gas is passed into the inner cavity of the cleaning nozzle 76 through the connection of the exhaust pipe and the hose 75, which can make the gas at the bottom of the image acquisition module 4 flow, thereby preventing dust from adhering to the bottom of the image acquisition module 4 and affecting the accuracy of image acquisition.
[0059] A method for using an intelligent fruit and vegetable detection device based on contour recognition comprises the following steps:
[0060] S1: Turn on the power of the device electrical appliance, and then pour the fruits and vegetables to be processed onto the top of the conveyor 1.
[0061] S2: When the conveyor 1 is working, the fruits and vegetables placed on it can be transported to the next step. During the transportation process, the external controller can be started to rotate the power output shaft of the drive motor A83. The rotation of the power output shaft of the drive motor A83 can drive the worm 84 fixed to the terminal of the power output shaft of the drive motor A83 to rotate. The reciprocating screw 86 can be rotated by the worm wheel 85 meshing with the worm 84. The T-shaped screw nut 87 movable on the reciprocating screw 86 can be moved back and forth under the limitation of the limit block 871 and the limit rod 872. Under the connection of the connecting block 88, the accumulated fruits and vegetables can be processed by the rubber rod 89.
[0062] S3: When the T-shaped lead screw nut 87 moves to the other side, the height of the bent rod 91 can be adjusted with the cooperation of the magnetic blocks B961, C962 and D963. When the connecting block 88 moves to the other side, the rubber rod 89 can be raised to prevent the bottom end of the rubber rod 89 from contacting the fruits and vegetables, thereby preventing the stacked fruits and vegetables from being pushed to the right.
[0063] S4: When fruits and vegetables fall from the conveyor 1 and land on the top of several rollers A10, the fruits and vegetables located on the top of the roller A10 can be rotated by the coordinated use of the L-shaped plate B21, the drive motor B22, the synchronous wheel 23 and the synchronous belt 24, and the image of the fruits and vegetables can be captured by the image acquisition module 4. After the image is captured, the captured image is eliminated and preprocessed by setting the preprocessing module 30 and the contour extraction module 40, and the contour of the fruits and vegetables is analyzed by the feature analysis module 60, and the types of fruits and vegetables are identified by the intelligent classification module 70, and the feedback control module 80 can control the manipulator 6 to place the fruits and vegetables located on the top of the roller B20 in the inner cavity of the placement groove 5.
[0064] S5: With the rotation of the worm 84, the eccentric wheel 71 can be rotated, and then the T-shaped piston 73 can reciprocate in the inner cavity of the cylinder 74, and the gas is passed into the inner cavity of the cleaning nozzle 76 through the exhaust pipe and the hose 75, which can make the gas flow at the bottom of the image acquisition module 4, avoiding dust adhering to the bottom of the image acquisition module 4 and affecting the accuracy of image acquisition.
[0065] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.
Claims
1. An intelligent fruit and vegetable detection device based on contour recognition, comprising a conveyor (1) and a support (2) located at the other side of the conveyor (1), wherein a detection box (3) is arranged on the periphery of the support (2), and characterized in that: A spreading component (8) is arranged near one side of the top of the conveyor (1), and an adjustment component (9) is arranged on the spreading component (8). Two placement slots (5) are arranged at the other side of the bracket (2). A manipulator (6) is arranged near the other side of the rear side of the bracket (2). An image acquisition module (4) is fixedly installed on the top of the inner cavity of the detection box (3), and a dust removal component (7) is arranged on the other side of the image acquisition module (4). Filling lights (50) are fixedly installed near the top of the inner cavity of the detection box (3) at both the front and rear sides. A pre-processing module (30) and a contour extraction module (40) are respectively fixedly installed near the two sides of the top of the detection box (3). A feature analysis module (60) is fixedly installed at the rear side of the detection box (3) near the top. An intelligent classification module (70) is arranged at the bottom of the feature analysis module (60), and a feedback control module (80) is arranged at the bottom of the intelligent classification module (70). A plurality of rollers A (10) are rotatably connected to the front side of the inner cavity of the bracket (2). The rollers A The rear end of (10) is movable and penetrates the rear side of the inner cavity of the bracket (2), and the opposite side of the bracket (2) is connected to the roller B (20) for common rotation near the other side; the said even distribution component (8) comprises a mounting frame (81) fixedly mounted on the rear side of the conveyor (1) near the top and an L-shaped plate A (82) fixedly mounted on the other side of the rear side of the mounting frame (81), a driving motor A (83) is fixedly mounted on the front side of the L-shaped plate A (82), and the power output shaft terminal of the driving motor A (83) is fixedly mounted A worm (84) is installed, and a worm wheel (85) is meshed at the top of the worm (84). A reciprocating screw (86) is arranged at the center of one side of the worm wheel (85), and the two ends of the reciprocating screw (86) are respectively movably inserted through the two sides of the mounting frame (81). A T-shaped screw nut (87) is movably sleeved near the other end of the outer periphery of the reciprocating screw (86). A connecting block (88) is arranged at the front side of the T-shaped screw nut (87), and a plurality of rubber rods (89) are fixedly installed at the bottom of the connecting block (88).
2. The intelligent fruit and vegetable detection device based on contour recognition according to claim 1, characterized in that: A limiting block (871) is fixedly installed on the rear side of the T-shaped screw nut (87), one side of the limiting block (871) movably penetrates the limiting rod (872), and both ends of the limiting rod (872) are respectively fixedly connected to the inner cavity side walls of the mounting frame (81).
3. The intelligent fruit and vegetable detection device based on contour recognition according to claim 1, characterized in that: A trapezoidal block (881) is fixedly mounted on the rear side of the connecting block (88), a plurality of balls (882) are mounted on the rear side of the trapezoidal block (881), a trapezoidal groove (883) is provided on the front side of the T-shaped screw nut (87), and the trapezoidal block (881) is slidably connected in the inner cavity of the trapezoidal groove (883), a rolling groove (884) is provided on the front side of the inner cavity of the trapezoidal groove (883), and the balls (882) are slidably connected in the inner cavity of the rolling groove (884).
4. The intelligent fruit and vegetable detection device based on contour recognition according to claim 1, characterized in that: A guide block (11) is fixedly installed on one side opposite to the conveyor (1) near the other side, and a plurality of installation grooves are provided on the side opposite to the guide block (11), and guide rollers (12) are rotatably connected at the top and bottom of the inner cavity of the installation groove.
5. The intelligent fruit and vegetable detection device based on contour recognition according to claim 1, characterized in that: An L-shaped plate B (21) is fixedly installed near one side of the rear side of the bracket (2), and a driving motor B (22) is fixedly installed on the front side of the L-shaped plate B (21). The power output shaft terminal of the driving motor B (22) is fixedly connected to the rear end of the adjacent roller A (10). The outer periphery of the roller A (10) near the rear end is fixedly sleeved with a synchronous wheel (23), and a plurality of synchronous wheels (23) are connected through a synchronous belt (24).
6. The intelligent fruit and vegetable detection device based on contour recognition according to claim 1, characterized in that: The adjustment assembly (9) comprises a bent rod (91) fixedly mounted on the front side of the connection block (88) and a T-shaped rod (92) fixedly mounted on the rear end of the bent rod (91); a circular groove (93) is provided on the front side of the conveyor (1), and the rear end of the T-shaped rod (92) is movably inserted into the inner cavity of the circular groove (93); a magnetic block A (94) is fixedly sleeved on the outer periphery of the T-shaped rod (92) near the middle position; mounting columns (96) are fixedly mounted on the front side of the conveyor (1) near both sides, and a compression spring (95) is fixedly mounted between the mounting columns (96) and the magnetic block A (94).
7. The intelligent fruit and vegetable detection device based on contour recognition according to claim 6, characterized in that: A magnetic block B (961) and a magnetic block C (962) are respectively fixedly installed near the front side of the conveyor (1) on both sides, and the magnetic block B (961) and the magnetic block C (962) are located on both sides of the circular groove (93). A magnetic block D (963) is arranged on the top of the magnetic block C (962), and the magnetic block D (963) is fixedly connected to the conveyor (1).
8. The intelligent fruit and vegetable detection device based on contour recognition according to claim 1, characterized in that: The dust removal assembly (7) comprises an eccentric wheel (71) fixedly sleeved on the outer periphery of the worm (84) near the middle position and a movable plate (72) located on one side of the eccentric wheel (71); a T-shaped piston (73) is fixedly installed on one side of the movable plate (72) near the middle position, and a cylinder (74) is movably sleeved on the outer periphery of the T-shaped piston (73), and one side of the cylinder (74) is fixedly connected to the L-shaped plate A (82); an air intake pipe and an air exhaust pipe are respectively inserted at the top and bottom of the cylinder (74), and a one-way valve is provided on the outer periphery of the air intake pipe and the air exhaust pipe; a hose (75) is fixedly installed at the bottom end of the exhaust pipe; a cleaning nozzle (76) is fixedly installed near the other side of the inner cavity top of the detection box (3), and the air intake end of the cleaning nozzle (76) passes through the rear side of the inner cavity of the detection box (3), and one end of the hose (75) is fixedly connected to the air intake pipe of the cleaning nozzle (76).
9. The intelligent fruit and vegetable detection device based on contour recognition according to claim 8, characterized in that: A reset telescopic rod (721) is fixedly installed near the periphery of one side of the movable plate (72), one end of the reset telescopic rod (721) is fixedly connected to the L-shaped plate A (82), a reset spring (722) is movably sleeved on the outer periphery of the reset telescopic rod (721), and two ends of the reset spring (722) are respectively fixedly connected to the L-shaped plate A (82) and the movable plate (72).
10. A method for using an intelligent fruit and vegetable detection device based on contour recognition according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1: Turn on the power supply of the device, and then pour the fruits and vegetables to be processed onto the top of the conveyor (1). S2: When the conveyor (1) is in operation, the fruits and vegetables placed thereon can be conveyed to the next step. During the conveying process, the external controller can be activated to rotate the power output shaft of the driving motor A (83). The rotation of the power output shaft of the driving motor A (83) can drive the worm (84) fixed to the terminal of the power output shaft of the driving motor A (83) to rotate. The reciprocating screw (86) can be rotated by the worm wheel (85) meshing with the worm (84). The T-shaped screw nut (87) movable on the reciprocating screw (86) can be moved back and forth under the limit of the limit block (871) and the limit rod (872). Under the connection of the connecting block (88), the accumulated fruits and vegetables can be processed by the rubber rod (89). S3: When the T-shaped screw nut (87) moves to the other side, the height of the bent rod (91) can be adjusted by using the magnetic block B (961), the magnetic block C (962) and the magnetic block D (963). When the connecting block (88) moves to the other side, the rubber rod (89) can be raised to prevent the bottom end of the rubber rod (89) from contacting the fruits and vegetables, thereby preventing the accumulated fruits and vegetables from being pushed to the right. S4: When fruits and vegetables fall from the conveyor (1) and land on the top of the plurality of rollers A (10), the fruits and vegetables located on the top of the rollers A (10) can be rotated by the coordinated use of the L-shaped plate B (21), the drive motor B (22), the synchronous wheel (23) and the synchronous belt (24), and images of the fruits and vegetables can be captured by the image capture module (4). After the images are captured, the captured images are eliminated and preprocessed by setting a preprocessing module (30) and a contour extraction module (40), and the contours of the fruits and vegetables are analyzed by the feature analysis module (60), and the types of the fruits and vegetables are identified by the intelligent classification module (70), and the feedback control module (80) can control the manipulator (6) to place the fruits and vegetables located on the top of the rollers B (20) in the inner cavity of the placement groove (5). S5: The rotation of the worm (84) can cause the eccentric wheel (71) to rotate, thereby causing the T-shaped piston (73) to reciprocate in the inner cavity of the cylinder (74), and allowing the gas to flow into the inner cavity of the cleaning nozzle (76) through the connection of the exhaust pipe and the hose (75), so that the gas at the bottom of the image acquisition module (4) can flow, thereby preventing dust from adhering to the bottom of the image acquisition module (4) and affecting the accuracy of image acquisition.