Machine vision calibration conversion virtual simulation practical training platform

Abstract

The utility model relates to the technical field of virtual simulation practical training platforms, and provides a machine vision calibration conversion virtual simulation practical training platform, which comprises a workbench; the material table is installed on the workbench and used for placing products to be sorted; the visual detection assembly is installed on the workbench, located above the material table and used for obtaining a product image on the material table; the visual processing system is mounted on the workbench; the beneficial effects of the utility model are that the system solves the problems that the learning effect is greatly reduced due to the fact that hardware equipment is expensive in price, a plurality of persons always have one device in the teaching process, the number of the devices is limited, and task verification cannot be carried out at the same time, the hardware equipment is likely to be collided in the operation process, the devices are damaged, and the teaching efficiency is high. Potential safety hazards exist; and hardware equipment may be damaged or broken down in a long-term use process, so that smooth operation of the practical training platform is directly influenced.

Description

Technical Field

[0001] The utility model relates to the technical field of virtual simulation training platforms, in particular to a machine vision calibration conversion virtual simulation training platform. Background Art

[0002] In machine vision systems, calibration is a key step to ensure accurate measurement and control. During the calibration process, the internal and external parameters of the camera directly affect the accuracy and stability of the acquired image. However, in practical applications, such as product sorting, labeling, and packaging, they all need to be implemented through the cooperation of the visual system and real hardware equipment, but there are the following challenges and problems in teaching:

[0003] 1. Hardware equipment is expensive. During the teaching process, multiple people often share one device. Due to the limited number of devices, task verification cannot be performed at the same time, which greatly reduces the learning effect.

[0004] 2. During the operation, it is very likely to collide with the hardware device, causing damage to the equipment and posing a safety hazard.

[0005] 3. Since hardware equipment may be damaged or malfunction during long-term use, it will directly affect the smooth operation of the training platform.

[0006] In order to solve the above problems, building a virtual simulation training platform has become an effective solution. Utility Model Content

[0007] In view of the above-mentioned technical problems existing in the prior art, a machine vision calibration and conversion virtual simulation training platform is provided, which solves the problem that due to the expensive hardware equipment, multiple people often share one device during the teaching process, and the number of devices is limited, and task verification cannot be performed at the same time, which greatly reduces the learning effect. During the operation, it is very likely to collide with the hardware equipment, causing damage to the equipment, and there are safety hazards. In addition, the hardware equipment may be damaged or malfunction during long-term use, which directly affects the smooth operation of the training platform.

[0008] The purpose and effect of the utility model are achieved by the following specific technical means:

[0009] A machine vision calibration conversion virtual simulation training platform, comprising:

[0010] Workbench;

[0011] A material table, which is installed on the workbench and is used to place products to be sorted;

[0012] A visual inspection component, which is installed on the workbench and located above the material table, and is used to obtain an image of the product on the material table;

[0013] A visual processing system, which is installed on a workbench and is used to process product images acquired by the visual inspection component and obtain coordinate information and color information of the product;

[0014] Sorting bins, which are provided with a plurality of bins evenly installed on the workbench and are used for classified storage of products of different colors;

[0015] The gantry handling assembly is installed on the workbench and is used to transport the products on the material table to the corresponding sorting bin.

[0016] Optionally, the material table is provided with a plurality of evenly distributed placement slots.

[0017] Optionally, the gantry handling assembly includes:

[0018] A gantry, wherein two gantry are provided and are respectively fixed on both sides of the top of the workbench;

[0019] A longitudinal electric guide rail, wherein two longitudinal electric guide rails are provided and are respectively installed on the top of the two gantries;

[0020] A transverse electric guide rail, wherein the transverse electric guide rail is installed between the two longitudinal electric guide rails;

[0021] A mounting seat, the mounting seat being mounted on a transverse electric guide rail;

[0022] A pneumatic clamp is mounted on a mounting base.

[0023] Optionally, the visual detection component includes:

[0024] A bracket, which is installed on the top of the workbench and close to the material table;

[0025] A camera is mounted on the top of the bracket through a mounting rod and is located above the material table.

[0026] Optionally, the visual detection component also includes an annular light source, which is mounted on a bracket and located closely below the camera, and has a through hole, and the camera lens is aligned with the through hole.

[0027] Optionally, a storage cabinet is arranged inside the workbench, and the outer wall of the workbench is surrounded by opening ends, and cabinet doors are installed at the opening ends.

[0028] Optionally, four corners of the bottom of the workbench are equipped with Fuma wheels.

[0029] Compared with the prior art, the beneficial effects of the utility model are:

[0030] 1. Different training environments can be freely created and adjusted on the virtual simulation training platform according to actual needs to adapt to the needs of different scenarios and tasks, while avoiding frequent switching and adjustment of equipment to improve training efficiency;

[0031] 2. The virtual simulation training platform does not depend on the status of physical equipment, avoiding the interruption of the verification process due to equipment failure;

[0032] 3. With the use of the virtual simulation training platform, the calibration and verification process of the machine vision system is more efficient, safe and flexible, laying a solid foundation for platform optimization in practical applications;

[0033] 4. Through interaction with virtual scenes and participation in actual operations, users can gain a more specific and intuitive learning experience, deepen their understanding of machine vision technology and cultivate their application capabilities;

[0034] 5. The use of a virtual simulation training platform solves the problem that due to the high price of hardware equipment, multiple people often share one device during the teaching process, and due to the limited number of devices, task verification cannot be performed simultaneously, which greatly reduces the learning effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the overall three-dimensional structure of the utility model;

[0036] Figure 2 It is a schematic diagram of the specific implementation operation of the utility model.

[0037] Markings in the figure: workbench 1, storage cabinet 11, cabinet door 12, Foma wheel 13, gantry handling assembly 2, gantry 21, longitudinal electric guide rail 22, transverse electric guide rail 23, mounting seat 24, pneumatic clamp 25, visual processing system 3, visual inspection assembly 4, bracket 41, annular light source 42, through hole 421, camera 43, material table 5, sorting bin 6. DETAILED DESCRIPTION

[0038] See also Figure 1-2 , the embodiments of the utility model are further described;

[0039] In the embodiment of the utility model, Figure 1As shown, a machine vision calibration conversion virtual simulation training platform includes: a workbench 1, a material table 5, a visual inspection component 4, a visual processing system 3, a sorting bin 6 and a gantry handling component 2. The material table 5 is installed on the workbench 1 and is used to place the products to be sorted. The material table 5 is provided with a plurality of evenly distributed placement slots, and the products to be sorted can be placed in the placement slots one by one. The placement slots play a certain role in limiting the products and are conducive to neatly placing the products on the material table 5; the visual inspection component 4 is installed on the workbench 1 and is located above the material table 5, and is used to obtain the product image on the material table 5; the visual processing system 3 is installed on the workbench 1 The visual processing system 3 can be a computer or a micro-all-in-one computer. The visual processing system 3 has visual processing software, such as visionmaster or smart software. The visual processing function is based on the existing technology and will not be repeated here. It is used to process the product image obtained by the visual inspection component 4 and obtain the coordinate information and color information of the product. The visual processing system 3 is communicated with the visual inspection component 4 and the gantry handling component 2; a plurality of sorting bins 6 are evenly installed on the workbench 1 for classified storage of products of different colors; the gantry handling component 2 is installed on the workbench 1, and is used to transport the products on the material table 5 to the corresponding sorting bins 6.

[0040] The working principle of the virtual simulation training platform is as follows:

[0041] When in use, the material table 5 is first photographed by the visual detection component 4, and then the coordinate values ​​(x, y) of multiple products (generally 9 products are preferably selected) on the material table 5 are calibrated by the visual processing system 3, and then multiple products of different colors are placed one by one in multiple placement slots on the material table 5, so that the products are neatly placed on the material table 5. It should be noted that there are several sorting bins 6 for products of several colors, and one color corresponds to one sorting bin 6, for example: Figure 1 In the figure, there are products of three colors: red, yellow and blue, and these three colors correspond to the left, middle and right sorting bins 6 respectively; after multiple products are placed, the product image is captured by the visual detection component 4, and the image information captured by the visual detection component 4 will be transmitted to the visual processing system 3, and the visual processing system 3 will calibrate and convert the multiple products of different colors in the picture one by one, obtain the coordinate value corresponding to each product, and identify the color of the product. Thereafter, the visual processing system 3 sends the coordinate information and color information of the target product to the gantry handling component 2, and the gantry handling component 2 moves to the target product, grabs the target product, and finally transports the target product to the corresponding sorting bin 6. According to the above operations, the remaining products can be sorted in the corresponding sorting bin 6. After completing the sorting operation, the gantry handling component 2 returns to the initial position. Through interaction with the virtual scene and participation in actual operations, users can obtain a more specific and intuitive learning experience, and deepen their understanding of machine vision technology and the cultivation of application capabilities.

[0042] It should be noted that the virtual simulation training platform can freely create and adjust different training environments on the workbench 1 according to actual needs, such as adjusting the positions of the visual inspection component 4, the material table 5 and the sorting bin 6 to simulate different training environments. Labeling components (not shown) and packaging components (not shown) and other product processing components can also be set on the workbench 1 to cooperate with the gantry handling component 2, the visual processing system 3 and the visual inspection component 4 to work together. More machine working scenes can be combined to simulate, and the virtual simulation training platform does not need to be limited by the physical space and the number of equipment. Of course, the visual processing system 3 is not limited to obtaining the coordinate value and color of the product in the picture, but can also identify the shape and size of the product to realize the sorting of products of different shapes and sizes.

[0043] Compared with the prior art, the advantages of this application are:

[0044] 1. Different training environments can be freely created and adjusted on the virtual simulation training platform according to actual needs to adapt to the needs of different scenarios and tasks, while avoiding frequent switching and adjustment of equipment to improve training efficiency;

[0045] 2. The virtual simulation training platform does not depend on the status of physical equipment, avoiding the interruption of the verification process due to equipment failure;

[0046] 3. With the use of the virtual simulation training platform, the calibration and verification process of the machine vision system is more efficient, safe and flexible, laying a solid foundation for platform optimization in practical applications;

[0047] 4. Through interaction with virtual scenes and participation in actual operations, users can gain a more specific and intuitive learning experience, deepen their understanding of machine vision technology and cultivate their application capabilities;

[0048] 5. The use of a virtual simulation training platform solves the problem that due to the high price of hardware equipment, multiple people often share one device during the teaching process, and due to the limited number of devices, task verification cannot be performed simultaneously, which greatly reduces the learning effect.

[0049] like Figure 2 As shown, the gantry handling assembly 2 includes: a gantry 21, a longitudinal electric guide rail 22, a transverse electric guide rail 23, a mounting seat 24 and a pneumatic clamp 25. The gantry 21 is provided with two and is respectively fixed on both sides of the top of the workbench 1; the longitudinal electric guide rail 22 is provided with two and is respectively installed on the top of the two gantries 21; the transverse electric guide rail 23 is installed between the two longitudinal electric guide rails 22; the mounting seat 24 is installed on the transverse electric guide rail 23; and the pneumatic clamp 25 is installed on the mounting seat 24.

[0050] The visual inspection component 4 includes: a bracket 41 and a camera 43 . The bracket 41 is installed on the top of the workbench 1 and is close to the material table 5 . The camera 43 is installed on the top of the bracket 41 through a mounting rod and is located above the material table 5 .

[0051] On the basis of the above, the visual detection component 4 also includes an annular light source 42, which is installed on the bracket 41 and is located closely below the camera 43, and has a through hole 421, and the camera 43 lens is aligned with the through hole 421.

[0052] In addition, a storage cabinet 11 is provided inside the workbench 1, and the outer wall of the workbench 1 is open all around, and cabinet doors 12 are installed at the open ends, and Fumar wheels 13 are installed at the four corners of the bottom of the workbench 1;

[0053] In this embodiment, the locker 11 is used to store the products used for the training operation. When the virtual simulation training platform is used, the workbench 1 can be pushed to drive the Forma wheel 13 at the bottom thereof to roll, so that the workbench 1 can be moved to the desired location;

[0054] Then, the cabinet door 12 is opened, and multiple products in the storage cabinet 11 can be taken out and placed in multiple placement slots on the material table 5. The brightness of the annular light source 42 is adjusted according to the training environment. Since the lens of the camera 43 is aimed at the through hole 421, the camera 43 will pass through the quasi-through hole 421 to shoot the product image. The camera 43 and the annular light source 42 are arranged up and down, and the light emitted by the annular light source 42 directly hits the product, which can reduce the shadow of the product caused by fill light, which is conducive to better shooting effect of the camera 43. The image information captured by the camera 43 will be transmitted to the visual processing system 3, and the visual processing system 3 will calibrate and convert multiple products of different colors in the picture one by one, obtain the coordinate value corresponding to each product, and identify the color of the product;

[0055] According to the color and coordinate value information of the product, the visual processing system 3 will start the longitudinal electric guide rail 22 and the transverse electric guide rail 23 to drive the mounting seat 24 and the pneumatic clamp 25 to move longitudinally and transversely. When the pneumatic clamp 25 moves to the target coordinate value, the pneumatic clamp 25 is started to descend. The pneumatic clamp 25 includes a vertical lifting cylinder, a clamping cylinder and a clamp. The vertical lifting cylinder is installed on the mounting seat 24, the clamping cylinder is installed on the vertical lifting cylinder shell, and the clamp is installed on the clamping cylinder. The clamp is driven to rise and fall by the vertical lifting cylinder, and the clamp is opened or closed by the clamping cylinder to clamp the target product. After grabbing the target product, the clamp is clamped, and then the vertical lifting cylinder rises to drive the clamp and the target product to move up. The use of the pneumatic clamp 25 is based on the existing technology. It should be noted that the longitudinal displacement of the pneumatic clamp 25 and the material table 5, and the pneumatic clamp 25 and the sorting bin 6 is determined, so the displacement of the vertical lifting cylinder can be set in advance by the visual processing system 3;

[0056] Then continue to start the longitudinal electric guide rail 22 and the transverse electric guide rail 23 to move the mounting seat 24, the pneumatic clamp 25 and the target product to the corresponding sorting bin 6, release the clamp, and according to the above operation, the remaining products can be sorted in the corresponding sorting bin 6. After completing the sorting operation, the mounting seat 24 and the pneumatic clamp 25 return to the initial position.

Claims

1. A machine vision calibration conversion virtual simulation training platform, characterized in that: include: Workbench (1); A material table (5), the material table (5) is installed on the workbench (1) and is used to place products to be sorted; A visual inspection component (4), the visual inspection component (4) being installed on the workbench (1) and located above the material table (5), and being used to obtain an image of a product on the material table (5); A visual processing system (3), the visual processing system (3) being installed on the workbench (1) and used for processing the product image acquired by the visual inspection component (4) and obtaining coordinate information and color information of the product; A sorting bin (6), wherein the sorting bin (6) is provided with a plurality of bins and is evenly installed on the workbench (1) and is used for storing products of different colors by category; A gantry handling assembly (2), wherein the gantry handling assembly (2) is installed on the workbench (1) and is used to transport products on the material table (5) to corresponding sorting bins (6).

2. The machine vision calibration conversion virtual simulation training platform according to claim 1 is characterized in that: The material table (5) is provided with a plurality of evenly distributed placement slots.

3. The machine vision calibration conversion virtual simulation training platform according to claim 1 is characterized in that: The gantry handling assembly (2) comprises: A gantry (21), wherein two gantry (21) are provided and are respectively fixed on both sides of the top of the workbench (1); A longitudinal electric guide rail (22), wherein two longitudinal electric guide rails (22) are provided and are respectively installed on the top of the two gantries (21); A transverse electric guide rail (23), wherein the transverse electric guide rail (23) is installed between the two longitudinal electric guide rails (22); A mounting seat (24), wherein the mounting seat (24) is mounted on the transverse electric guide rail (23); A pneumatic clamp (25), wherein the pneumatic clamp (25) is mounted on a mounting seat (24).

4. The machine vision calibration conversion virtual simulation training platform according to claim 1 is characterized in that: The visual detection component (4) comprises: A bracket (41), wherein the bracket (41) is installed on the top of the workbench (1) and close to the material table (5); A camera (43), wherein the camera (43) is mounted on the top of the bracket (41) via a mounting rod and is located above the material platform (5).

5. The machine vision calibration conversion virtual simulation training platform according to claim 4 is characterized in that: The visual detection component (4) further comprises an annular light source (42), wherein the annular light source (42) is mounted on the bracket (41) and is located close to the camera (43), and a through hole (421) is provided on the annular light source (42), and the lens of the camera (43) is aligned with the through hole (421).

6. The machine vision calibration conversion virtual simulation training platform according to claim 1 is characterized by: A storage cabinet (11) is arranged inside the workbench (1), and the outer wall of the workbench (1) is surrounded by opening ends, and cabinet doors (12) are installed at the opening ends.

7. The machine vision calibration conversion virtual simulation training platform according to claim 1 is characterized by: Four corners of the bottom of the workbench (1) are all equipped with Fuma wheels (13).

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