Color sorter for intelligently sorting tomato raw materials
By introducing LED tubes, optical lenses, and pusher plates into the tomato raw material color sorter, the problems of waste pollution and defective product collection have been solved, achieving accurate separation of good and bad products and effective collection of waste, thus improving the cleanliness of the workshop environment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- XINJIANG GUANNONG FRUIT & ANTLER GROUP
- Filing Date
- 2025-03-18
- Publication Date
- 2026-05-05
AI Technical Summary
Existing tomato raw material color sorting machines cause waste to fall into the production workshop during the sorting process, resulting in environmental pollution, and substandard tomatoes are difficult to collect effectively.
A smart sorting and color sorting machine for tomato raw materials was designed. It uses LED tubes to provide uniform illumination, and uses optical lenses and image sensors to identify good and bad products. The machine uses a pusher plate and channel design to push the bad products into the waste channel and the good products into the qualified raw material channel. The machine is equipped with casters to facilitate the movement of the device and prevent waste from entering the workshop.
This enabled the effective collection of waste, improved the hygiene of the production workshop, and ensured the accurate separation and collection of good and defective products.
Smart Images
Figure CN224195339U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of color sorting machine technology, specifically to an intelligent color sorting machine for tomato raw materials. Background Technology
[0002] Intelligent tomato raw material sorting replaces traditional manual sorting by utilizing the working principle of color sorters. A color sorter is a device that uses photoelectric technology to automatically sort materials based on their optical properties (such as color, shape, and size). It mainly consists of a light source system, optical path design, image processing, control core, information processing, and actuators.
[0003] When processing existing tomato raw materials, color sorters are required to select them. Generally, an optical detection system is used to collect image information of tomatoes, convert light signals into electrical signals, and then an image processing system converts the reflected light from the material surface into electrical signals. Based on preset sorting standards, it is determined whether the tomatoes are qualified.
[0004] However, because color sorters need to discharge the sorted waste directly when sorting tomatoes, the discharged waste will fall into the production workshop and pollute the workshop environment. At the same time, since color sorters generally use a single channel to sort tomatoes, the sorted products are directly sent to the next process hopper through the channel. When unqualified tomatoes are detected, they are directly ejected from the surface of the conveyor belt, making it difficult to collect the waste tomatoes. Utility Model Content
[0005] (a) Technical problems to be solved
[0006] To address the shortcomings of existing technologies, this utility model provides an intelligent tomato raw material sorting and color sorting machine to solve the problem mentioned in the background technology that the discharged waste falls into the production workshop and causes pollution to the workshop environment. At the same time, since color sorting machines generally use a single-channel method to sort tomatoes, the sorted products are directly sent to the next process hopper through the channel. When unqualified tomatoes are detected, they are directly ejected from the surface of the conveyor belt, making it difficult to collect the waste tomatoes.
[0007] (II) Technical Solution
[0008] To achieve the above objectives, this utility model provides the following technical solution: an intelligent tomato raw material sorting and color sorting machine, comprising:
[0009] A base, wherein a support frame is mounted on the upper surface of the base, and a conveyor belt is mounted on the upper surface of the support frame;
[0010] A color sorting rack is installed on the upper surface of a support frame. An LED tube is installed at the bottom of the color sorting rack. An optical lens is installed on the inner wall of the color sorting rack. An image sensor is installed on the upper surface of the optical lens. An information processing device is installed on the right side of the color sorting rack. The image sensor is connected to the information processing device.
[0011] A mounting bracket is provided on the back of the support frame. A cylinder is mounted on the surface of the mounting bracket, and a pusher plate is mounted on the output end of the cylinder.
[0012] A waste disposal channel is located below the color sorter. The inlet of the color sorter is located on the side of the conveyor belt. A qualified raw material channel is installed on the left side of the support frame. The inlet of the qualified raw material channel is connected to the outlet of the conveyor belt. All four corners of the base are equipped with casters.
[0013] Preferably, a feeding box is installed on the right side of the support frame. The feeding box is located at the feed end of the conveyor belt. When tomatoes are placed in the feeding box, they can fall onto the surface of the conveyor belt through the feeding box, thereby preventing the tomatoes from falling during feeding.
[0014] Preferably, the inside of the feeding box is equipped with a feeding plate, which is designed to be inclined so that the tomatoes placed in the feeding box will roll onto the surface of the conveyor belt.
[0015] Preferably, partitions are installed on both the front and back of the conveyor belt, and the partitions are installed on the upper surface of the support frame. The partitions can prevent tomatoes from falling off the surface of the conveyor belt.
[0016] Preferably, a storage groove is provided at the corresponding position of the partition and the pusher plate, and the storage groove is used to store the pusher plate.
[0017] Preferably, a first baffle is installed on both sides of the upper surface of the waste channel, and a second baffle is installed on both sides of the upper surface of the qualified raw material channel. The first baffle can prevent waste from falling off the surface of the waste channel, and the second baffle can prevent tomatoes from falling off the surface of the qualified raw material channel.
[0018] Beneficial effects
[0019] Compared with the prior art, this utility model provides an intelligent sorting and color sorting machine for tomato raw materials, which has the following beneficial effects:
[0020] This intelligent tomato raw material sorting and color sorting machine uses LED tubes to provide uniform and stable lighting conditions for the materials. The optical lens focuses the reflected light from the material surface onto the image sensor to form a clear image. The image sensor converts the reflected light from the material surface into an electrical signal to distinguish between good and bad products. Unqualified products are pushed into the waste channel by the pusher plate, while qualified products are conveyed into the qualified raw material channel, which facilitates the collection of waste tomatoes. At the same time, the universal wheels make it easy to move the device. The intelligent tomato raw material sorting system can be installed outside the production workshop according to its own process characteristics. Intelligent sorting avoids the sorted waste from entering the workshop, thus improving the hygiene quality of the workshop. Attached Figure Description
[0021] Figure 1 This is a schematic diagram of the structure of this utility model;
[0022] Figure 2 This is a schematic diagram of the conveyor belt structure of this utility model;
[0023] Figure 3 This is a schematic diagram of the color sorting rack of this utility model;
[0024] Figure 4 This is a schematic diagram of the installation structure of the cylinder of this utility model;
[0025] Figure 5 This is a schematic diagram of the material feeding box of this utility model.
[0026] In the diagram: 1. Base; 2. Support frame; 3. Conveyor belt; 4. Color sorter; 5. LED tube; 6. Optical lens; 7. Image sensor; 8. Information processing device; 9. Mounting frame; 10. Cylinder; 11. Pusher plate; 12. Waste channel; 13. Qualified raw material channel; 14. Casters; 15. Feeding box; 16. Feeding plate; 17. Partition; 18. Storage trough; 19. First baffle; 20. Second baffle. Detailed Implementation
[0027] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.
[0028] This utility model provides a technical solution: an intelligent tomato raw material sorting and color sorting machine. Please refer to [link / reference]. Figure 1 It includes a base 1, a support frame 2 is mounted on the upper surface of the base 1, and a conveyor belt 3 is mounted on the upper surface of the support frame 2;
[0029] Color sorter 4 is mounted on the upper surface of support frame 2. Please refer to [link / reference]. Figure 3 LED tubes 5 are installed at the bottom of the color sorter 4, optical lenses 6 are installed on the inner wall of the color sorter 4, image sensors 7 are installed on the upper surface of the optical lenses 6, and information processing devices 8 are installed on the right side of the color sorter 4. The image sensors 7 are connected to the information processing devices 8.
[0030] Image sensor 7 employs a high-resolution, high-sensitivity sensor to convert reflected light from the material surface into electrical signals. Preprocessing operations such as noise reduction and enhancement are performed on the original image to improve image quality. Feature information such as color and shape of the material surface is extracted using image processing algorithms. Based on the extracted feature information, a suitable classification algorithm is used to identify the material and distinguish between good and defective products.
[0031] The information processing device 8 can amplify and filter the electrical signal output by the image sensor 7 to ensure signal stability and accuracy. It enables the implementation of image processing and classification algorithms within the control system for material detection and classification.
[0032] Please see Figure 1 Mounting bracket 9 is located on the back of support bracket 2. Please refer to [link / reference]. Figure 4 A cylinder 10 is mounted on the surface of the mounting frame 9, and a pusher plate 11 is mounted on the output end of the cylinder 10.
[0033] Please see Figure 1 Waste channel 12 is located below color sorter 4. The feed inlet of color sorter 4 is located on the side of conveyor belt 3. Qualified raw material channel 13 is installed on the left side of support frame 2. The feed inlet of qualified raw material channel 13 is connected to the discharge outlet of conveyor belt 3. Universal wheels 14 are installed at the four corners of the bottom of base 1.
[0034] Tomatoes are placed on the surface of conveyor belt 3, and LED tubes 5 provide uniform and stable lighting conditions for the material. The reflected light from the material surface is focused onto image sensor 7 by optical lens 6 to form a clear image. Image sensor 7 converts the reflected light from the material surface into an electrical signal to distinguish between good and bad products. Unqualified products are pushed into waste channel 12 by pusher plate 11, while qualified products enter qualified raw material channel 13 along with conveyor belt 3, which facilitates the collection of waste tomatoes. At the same time, the universal wheels 14 make it easy to move the device. The intelligent tomato raw material picking system can be installed outside the production workshop according to its own process characteristics. Intelligent picking avoids the waste picked out from entering the workshop and improves the hygiene quality of the workshop.
[0035] A feeding box 15 is installed on the right side of the support frame 2. The feeding box 15 is located at the feeding end of the conveyor belt 3. When tomatoes are placed in the feeding box 15, they can fall onto the surface of the conveyor belt 3 through the feeding box 15, thereby preventing the tomatoes from falling during feeding.
[0036] Please see Figure 5 The inside of the feeding box 15 is equipped with a feeding plate 16. The feeding plate 16 is designed to be inclined. The tomatoes placed in the feeding box 15 will roll onto the surface of the conveyor belt 3 through the feeding plate 16.
[0037] Please see Figure 2 The conveyor belt 3 is equipped with partitions 17 on both the front and back sides. The partitions 17 are installed on the upper surface of the support frame 2. The partitions 17 can prevent tomatoes from falling off the surface of the conveyor belt 3.
[0038] A storage slot 18 is provided at the corresponding position of the partition 17 and the pusher plate 11. The storage slot 18 is used to store the pusher plate 11.
[0039] Both sides of the upper surface of the waste channel 12 are equipped with first baffles 19, and both sides of the upper surface of the qualified raw material channel 13 are equipped with second baffles 20. The first baffles 19 can prevent waste from falling off the surface of the waste channel 12, and the second baffles 20 can prevent tomatoes from falling off the surface of the qualified raw material channel 13.
[0040] In operation, the following steps are taken: First, tomatoes are placed in the feeding box 15, allowing them to fall onto the surface of the conveyor belt 3, thus preventing them from falling during feeding. Then, LED tubes 5 provide uniform and stable lighting for the material. Optical lens 6 focuses the reflected light from the material surface onto image sensor 7 to form a clear image. Image sensor 7 converts the reflected light from the material surface into electrical signals to distinguish between good and bad products. Unqualified products are pushed into waste channel 12 by pusher plate 11, while qualified products enter qualified raw material channel 13 along with the conveyor belt 3, facilitating the collection of waste tomatoes. Finally, casters 14 allow for easy movement of the device. The intelligent tomato raw material picking system can be installed outside the production workshop according to its own process characteristics. Intelligent picking prevents the picked waste from entering the workshop, improving the hygiene quality of the workshop.
[0041] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.
[0042] 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. A smart sorting and color sorting machine for tomato raw materials, characterized in that, include: A base (1), on the upper surface of which a support frame (2) is mounted, and on the upper surface of which a conveyor belt (3) is mounted; A color sorter (4) is set on the upper surface of the support frame (2). An LED tube (5) is installed at the bottom of the color sorter (4). An optical lens (6) is installed on the inner wall of the color sorter (4). An image sensor (7) is installed on the upper surface of the optical lens (6). An information processing device (8) is installed on the right side of the color sorter (4). The image sensor (7) is connected to the information processing device (8). Mounting bracket (9) is located on the back of support frame (2). A cylinder (10) is mounted on the surface of mounting bracket (9). A pusher plate (11) is mounted on the output end of cylinder (10). Waste channel (12) is located below color sorter (4). The feed inlet of color sorter (4) is located on the side of conveyor belt (3). Qualified raw material channel (13) is installed on the left side of support frame (2). The feed inlet of qualified raw material channel (13) is connected to the discharge outlet of conveyor belt (3). Universal wheels (14) are installed at the four corners of the bottom of base (1).
2. The intelligent sorting and color sorting machine for tomato raw materials according to claim 1, characterized in that: A feeding box (15) is installed on the right side of the support frame (2), and the feeding box (15) is located at the feeding end of the conveyor belt (3).
3. The intelligent sorting and color sorting machine for tomato raw materials according to claim 2, characterized in that: The material feeding box (15) is equipped with a material feeding plate (16) inside, and the material feeding plate (16) is designed to be inclined.
4. The intelligent sorting and color sorting machine for tomato raw materials according to claim 1, characterized in that: The conveyor belt (3) is equipped with partitions (17) on both the front and back sides, and the partitions (17) are installed on the upper surface of the support frame (2).
5. The intelligent sorting and color sorting machine for tomato raw materials according to claim 4, characterized in that: The partition (17) and the pusher plate (11) are provided with a storage groove (18) at the corresponding positions.
6. The intelligent tomato raw material sorting and color sorting machine according to claim 1, characterized in that: The waste channel (12) is equipped with a first baffle (19) on both sides of its upper surface, and the qualified raw material channel (13) is equipped with a second baffle (20) on both sides of its upper surface.