Automatic tobacco leaf sorting device based on image recognition

Abstract

The utility model relates to the technical field of automatic tobacco leaf sorting, in particular to an automatic tobacco leaf sorting device based on image recognition, which comprises a conveying belt, a detection frame is mounted at the top of the conveying belt, an electric cylinder is mounted at the top of the detection frame, and a buzzer alarm is mounted at the top of the detection frame. According to the utility model, nondestructive detection of surface morphology, texture and internal components of tobacco leaves is realized in an image recognition detection mode, and the sorting efficiency reaches 25 pieces per second by supporting dynamic parameter adaptation of the tobacco leaves in multiple production areas and is improved by 3 times compared with the efficiency of traditional mechanical sorting equipment; the tobacco leaf sorting and proportioning device is suitable for the tobacco processing automation upgrading requirement, can reduce manual labor, improve the management efficiency and achieve the effect of building a modern workshop on the premise that the tobacco leaf sorting and proportioning accuracy is guaranteed, the tobacco leaf sorting and proportioning efficiency is remarkably improved, and the tobacco leaf sorting and proportioning device is accurate in sorting, practical, efficient, easy and convenient to operate and high in automation degree.

Description

Technical Field

[0001] This utility model relates to the field of automatic tobacco leaf sorting technology, specifically an automatic tobacco leaf sorting device based on image recognition. Background Technology

[0002] Tobacco leaf sorting is the process of classifying and separating tobacco leaves within the same group according to their quality. Its significance lies in meeting the needs of the cigarette industry, serving as the basis for pricing based on quality, and promoting tobacco production and the rational use of resources. Currently, tobacco leaf sorting is mainly done manually. Sorting personnel separate the tobacco leaves from the tobacco bales and classify them by sight and touch according to the tobacco leaf grading standards. The classified tobacco leaves are then packed into boxes and transported manually to designated locations using oil carts for manual blending.

[0003] With the development of industry, tobacco companies have increasingly higher requirements for tobacco leaf grading and blending, and the requirements for the efficiency of related processes are also increasing. At present, tobacco leaf grading and blending are done manually, and the existing methods have problems such as low efficiency, cumbersome procedures and high labor input. Obviously, this kind of tobacco leaf sorting method needs to be further improved.

[0004] Therefore, it is particularly important to design an automatic tobacco leaf sorting device based on image recognition to overcome the above-mentioned technical defects and improve its overall practicality. Utility Model Content

[0005] The purpose of this invention is to provide an automatic tobacco leaf sorting device based on image recognition to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, this utility model provides the following technical solution:

[0007] An automatic tobacco leaf sorting device based on image recognition includes a conveyor belt, a detection frame mounted on top of the conveyor belt, an electric cylinder mounted on top of the detection frame, a buzzer alarm mounted on top of the detection frame, a moving stage connected through the drive end of the electric cylinder, a clamping seat at the bottom of the moving stage, locking screws connected to both the front and rear sides of the clamping seat, a detachable block placed inside the clamping seat, a high-resolution industrial camera, a multispectral sensor, and an adaptive ring light mounted on the bottom of the detachable block, and symmetrically fixed on the top left and right sides of the front of the detection frame. The connecting rods have a fixed crossbar at their front ends. A bidirectional lead screw is rotatably connected inside the fixed crossbar. A lead screw sleeve is symmetrically threaded on the outer side of the bidirectional lead screw. A forward and reverse motor is installed at one end of the fixed crossbar. Gears meshing with each other are sleeved on both the end of the bidirectional lead screw that passes through the fixed crossbar and the output end of the forward and reverse motor. A curved bracket is connected to the front end of the lead screw sleeve. An electric push rod is installed at the bottom of the curved bracket. A drive plate is connected to the output end of the electric push rod. Multiple sets of equally spaced pneumatic suction flexible grippers are installed at the bottom of the drive plate.

[0008] As a preferred embodiment of this utility model, the conveyor belt is equipped with a main controller, which is connected to the electric cylinder, the buzzer alarm, the high-resolution industrial camera, the multispectral sensor, the adaptive ring light, the forward and reverse motors, the electric push rod, and the pneumatic flexible gripper via wires, and the connection method is electrical connection.

[0009] As a preferred embodiment of this utility model, the clamping seat is provided with internal thread seats that are threaded to the locking screw on both the front and rear sides, and the detachable block is provided with an insertion hole for the locking screw to be inserted.

[0010] As a preferred embodiment of this utility model, the clamping base and the detachable block are detachably connected by a plug-in method.

[0011] As a preferred embodiment of this utility model, both ends of the bidirectional lead screw are rotatably connected to the inside of the fixed crossbar through bearing seats, and the bidirectional lead screw is composed of two sets of screws with opposite threads spliced ​​together.

[0012] As a preferred embodiment of this utility model, the forward and reverse motors are fixed to one end of a fixed crossbar by a motor bracket.

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

[0014] This invention utilizes an image recognition-based automatic tobacco leaf sorting device. This device achieves non-destructive testing of the surface morphology, texture, and internal components of tobacco leaves through image recognition detection. By supporting dynamic parameter adaptation for tobacco leaves from multiple production areas, the sorting efficiency reaches 25 leaves per second, three times higher than traditional mechanical sorting equipment. It is suitable for the automation upgrade needs of tobacco processing, ensuring accurate tobacco leaf sorting and proportioning while reducing manual labor and improving management efficiency, thus achieving the effect of building a modern workshop. The device significantly improves the efficiency of tobacco leaf sorting and proportioning. It is accurate, practical, efficient, easy to operate, and highly automated. Attached Figure Description

[0015] Figure 1 This is a perspective view of the overall structure of this utility model;

[0016] Figure 2 This is a partial structural diagram of the present invention;

[0017] Figure 3 This is a partial structural diagram of the present utility model.

[0018] In the diagram: 1. Conveyor belt; 2. Detection frame; 3. Electric cylinder; 4. Buzzer alarm; 5. Moving stage; 501. Clamping seat; 502. Locking screw; 503. Detachable block; 504. High-resolution industrial camera; 505. Multispectral sensor; 506. Adaptive ring light; 6. Connecting rod; 7. Fixed crossbar; 701. Bidirectional lead screw; 702. Lead screw sleeve; 703. Forward and reverse motor; 704. Gear; 705. Bent bracket; 706. Electric push rod; 707. Drive board; 708. Pneumatic suction flexible gripper. Detailed Implementation

[0019] The technical solutions of the present utility model will be clearly and completely described below with reference to the embodiments of the present utility model. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present utility model without creative effort are within the protection scope of the present utility model.

[0020] To facilitate understanding of this utility model, a more comprehensive description of the utility model will be given below with reference to the accompanying drawings, and several embodiments of the utility model will be provided. However, the utility model can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the utility model more thorough and complete.

[0021] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or there may be an intervening element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or there may be an intervening element. The terms "vertical," "horizontal," "left," "right," and similar expressions used in this document are for illustrative purposes only.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0023] For examples, please refer to Figure 1-3 This utility model provides a technical solution:

[0024] An automatic tobacco leaf sorting device based on image recognition includes a conveyor belt 1, a detection frame 2 mounted on top of the conveyor belt 1, an electric cylinder 3 mounted on top of the detection frame 2, a buzzer alarm 4 mounted on top of the detection frame 2, a moving platform 5 connected through the drive end of the electric cylinder 3, connecting rods 6 symmetrically fixed on the top front of the detection frame 2, a fixed crossbar 7 shared at the front ends of the two sets of connecting rods 6, a bidirectional lead screw 701 rotatably connected inside the fixed crossbar 7, and bidirectional lead screw 701 symmetrically fixed on the outer sides. The screw is threaded with a lead screw sleeve 702. A forward and reverse motor 703 is installed at one end of the fixed crossbar 7. A bidirectional lead screw 701 passes through one end of the fixed crossbar 7 and the output end of the forward and reverse motor 703, and is fitted with meshing gears 704. A curved bracket 705 is connected to the front end of the lead screw sleeve 702. An electric push rod 706 is installed at the bottom of the curved bracket 705. A drive plate 707 is connected to the output end of the electric push rod 706. Multiple sets of equally spaced pneumatic suction flexible grippers 708 are installed at the bottom of the drive plate 707.

[0025] Both ends of the bidirectional lead screw 701 are rotatably connected to the inside of the fixed crossbar 7 through bearing seats. The bidirectional lead screw 701 is composed of two sets of screws with opposite threads spliced ​​together. The forward and reverse motor 703 is fixed to one end of the fixed crossbar 7 through a motor bracket.

[0026] In this embodiment, please refer to Figure 2The bottom of the moving stage 5 is provided with a clamping seat 501. Locking screws 502 are connected to both the front and rear sides of the clamping seat 501. A detachable block 503 is placed inside the clamping seat 501. A high-resolution industrial camera 504, a multispectral sensor 505 and an adaptive ring light 506 are installed at the bottom of the detachable block 503 to realize non-destructive testing of the surface morphology, texture and internal composition of tobacco leaves.

[0027] The conveyor belt 1 is equipped with a main controller, which is connected to the electric cylinder 3, the buzzer alarm 4, the high-resolution industrial camera 504, the multispectral sensor 505, the adaptive ring light 506, the forward and reverse motor 703, the electric push rod 706, and the pneumatic flexible gripper 708 via wires. The connection is electrical. The clamping seat 501 has internal threaded seats on both the front and rear sides that are threaded to the locking screw 502. The detachable block 503 has a hole for the locking screw 502 to be inserted. The clamping seat 501 and the detachable block 503 are detachably connected by plugging and unplugging.

[0028] The working process of this utility model is as follows: During use, the tobacco leaves inside the tobacco pack are separated and laid flat on the conveyor belt 1 for transport. During this process, the forward and reverse motors 703 drive two sets of gears 704 to mesh, causing the bidirectional lead screw 701 to rotate. Under the threaded drive, the two-wheeled lead screw sleeve 702 moves in the same or opposite directions. Combined with the electric push rod 706, the tobacco leaves can be quickly dispersed using a pneumatic flexible gripper 708. The flexible gripper adopts a biomimetic design, using elastic material to adaptively wrap around the object, evenly distributing contact pressure and avoiding mechanical damage. The dispersed tobacco leaves reach the bottom of the detection frame 2. A high-resolution industrial camera 504 (50 megapixels) and a multispectral sensor 505 (covering visible and near-infrared bands) are integrated, along with an adaptive ring light 5. 06. This device enables non-destructive testing of the surface morphology, texture, and internal components of tobacco leaves. The locking screw 502 allows for quick assembly and disassembly of the detachable block 503 and the clamping seat 501, facilitating maintenance and replacement. It utilizes image recognition detection to achieve non-destructive testing of the surface morphology, texture, and internal components of tobacco leaves. By supporting dynamic parameter adaptation for tobacco leaves from multiple production areas, it achieves a sorting efficiency of 25 leaves / second, three times higher than traditional mechanical sorting equipment. Suitable for the automation upgrade needs of tobacco processing, it reduces manual labor and improves management efficiency while ensuring accurate tobacco leaf sorting and proportioning, achieving the effect of building a modern workshop. It significantly improves the efficiency of tobacco leaf sorting and proportioning. This device is accurate, practical, efficient, easy to operate, and highly automated.

[0029] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An automatic tobacco leaf sorting device based on image recognition, comprising a conveyor belt (1), characterized in that: A detection frame (2) is installed on the top of the conveyor belt (1). An electric cylinder (3) is installed on the top of the detection frame (2). A buzzer alarm (4) is installed on the top of the detection frame (2). A moving platform (5) is connected through the drive end of the electric cylinder (3). A clamping seat (501) is provided at the bottom of the moving platform (5). Locking screws (502) are connected to both the front and rear sides of the clamping seat (501). A detachable block (503) is placed inside the clamping seat (501). A high-resolution industrial camera (504), a multispectral sensor (505), and an adaptive ring light (506) are installed at the bottom of the detachable block (503). Connecting rods (6) are symmetrically fixed on the top left and right sides of the front of the detection frame (2). The front ends of the two sets of connecting rods (6) are connected together. A fixed crossbar (7) is provided, and a bidirectional lead screw (701) is rotatably connected inside the fixed crossbar (7). A lead screw sleeve (702) is symmetrically threaded on the outer side of the bidirectional lead screw (701). A forward and reverse motor (703) is installed at one end of the fixed crossbar (7). The bidirectional lead screw (701) passes through one end of the fixed crossbar (7) and the output end of the forward and reverse motor (703) and is fitted with mutually meshing gears (704). A curved bracket (705) is connected to the front end of the lead screw sleeve (702). An electric push rod (706) is installed at the bottom of the curved bracket (705). A drive plate (707) is connected to the output end of the electric push rod (706). Multiple sets of equally spaced pneumatic suction flexible grippers (708) are installed at the bottom of the drive plate (707).

2. The automatic tobacco leaf sorting device based on image recognition according to claim 1, characterized in that: The conveyor belt (1) is equipped with a main controller, which is connected to the electric cylinder (3), the buzzer alarm (4), the high-resolution industrial camera (504), the multispectral sensor (505), the adaptive ring light (506), the forward and reverse motor (703), the electric push rod (706), and the air suction flexible gripper (708) via wires, and the connection is electrical.

3. The automatic tobacco leaf sorting device based on image recognition according to claim 1, characterized in that: Both the front and rear sides of the clamping seat (501) are provided with internal thread seats that are threadedly connected to the locking screw (502), and the interior of the detachable block (503) is provided with an insertion hole for the locking screw (502) to be inserted.

4. The automatic tobacco leaf sorting device based on image recognition according to claim 1, characterized in that: The clamping base (501) and the detachable block (503) are detachably connected by plugging and unplugging.

5. The automatic tobacco leaf sorting device based on image recognition according to claim 1, characterized in that: Both ends of the bidirectional lead screw (701) are rotatably connected to the inside of the fixed crossbar (7) through bearing seats. The bidirectional lead screw (701) is composed of two sets of screws with opposite threads spliced ​​together.

6. The automatic tobacco leaf sorting device based on image recognition according to claim 1, characterized in that: The forward and reverse motor (703) is fixed to one end of the fixed crossbar (7) by a motor bracket.

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