CN220252747U - Application teaching robot through visual identification - Google Patents
Application teaching robot through visual identification Download PDFInfo
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- CN220252747U CN220252747U CN202321675153.7U CN202321675153U CN220252747U CN 220252747 U CN220252747 U CN 220252747U CN 202321675153 U CN202321675153 U CN 202321675153U CN 220252747 U CN220252747 U CN 220252747U
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- teaching robot
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- air compressor
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- 230000000007 visual effect Effects 0.000 title claims abstract description 21
- 241000196324 Embryophyta Species 0.000 claims description 22
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 238000009333 weeding Methods 0.000 description 10
- 244000025254 Cannabis sativa Species 0.000 description 8
- 238000005457 optimization Methods 0.000 description 4
- 230000001502 supplementing effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000009331 sowing Methods 0.000 description 1
- 238000009966 trimming Methods 0.000 description 1
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Abstract
The utility model discloses an application teaching robot through visual recognition, which relates to the field of teaching equipment, and comprises a mechanical mechanism design practical training system, a robot system design practical training system, a sensor practical training system, a motor control practical training system and a machine vision multi-scene application practical training related knowledge.
Description
Technical field:
the utility model relates to the field of teaching equipment, in particular to an application teaching robot through visual identification.
The background technology is as follows:
in today's society, there is an increasing demand for application of teaching robots in the fields of education and training. The application teaching robot can provide a practical environment, help students to better understand and apply relevant knowledge, and improve the skill level of the students. In particular in the field of teaching equipment, the application teaching robot can simulate a real scene, so that students can participate in the practice of equipment operation and control in person.
However, there are limitations of teaching robots on the market at present. Traditional teaching robot often only pays attention to application of transport, pile up neatly, assembly, can't satisfy the demand of student to other fields comprehensively. In addition, the existing teaching robots are relatively weak in visual recognition, and the application capability of the teaching robots in multiple scenes is limited.
Therefore, there is a need for a novel teaching robot capable of providing a more comprehensive training content including a mechanical structure training, a robot system design training, a sensor training, a motor control training and the like in the field of teaching equipment, and having a strong visual recognition capability.
The utility model aims to solve the problems and provides an application teaching robot through visual recognition, which provides wider practical environment and practical training content for students. By combining the application scene, the manual weeding efficiency is low, a great deal of labor is spent, the crop and the environment are polluted by the medicine weeding, and an environment-friendly and efficient weeding method is lacking at present. The mower is a mechanical tool for trimming lawn, vegetation, etc. and consists of cutter, engine, walking wheel, walking mechanism, blade, armrest and control part. The cutter head is arranged on the travelling wheel, the engine is arranged on the cutter head, the blade is arranged on the output shaft of the engine, the blade is greatly improved in speed by utilizing the high-speed rotation of the engine, the working time of weeding workers is saved, and the manpower resource is reduced. However, the existing mower is not provided with a visual recognition device, the root of the weed cannot be accurately shoveled, the weed cannot be fundamentally shoveled, and the intelligent degree is not high.
The utility model comprises the following steps:
the utility model mainly solves the technical problem of providing the application teaching robot through visual identification, which can visually identify crops and weeds through an industrial camera, accurately scoop up the root systems of the weeds, inhibit production and radically weed.
In order to achieve the above object, the present utility model provides the following technical solutions:
this application teaching robot through visual identification installs solar cell panel's frame including the top, two universal wheels and two walking wheels are installed to the frame bottom, frame internally mounted has driving motor and controller, air compressor is connected to the controller, air compressor is connecting adjustable cylinder, driving motor passes through traction belt and drives two walking wheels, two parallel slide rails are installed to the frame bottom, install respectively on two slide rails and remove grass shovel A and remove grass shovel B, remove grass shovel A and remove grass shovel B and all be connected with the adjustable cylinder that corresponds, the frame front portion installs the camera of taking the light filling lamp, industry camera and annular light source are installed at the frame rear portion.
As a further optimization of the technical scheme, the solar panel is connected with the driving motor, the controller and the air compressor through wires.
As a further optimization of the technical scheme, the camera and the industrial camera are both connected with the controller through data lines.
As a further optimization of the technical scheme, the air compressor drives the weed shovel A and the weed shovel B to move on the sliding rail through the adjustable air cylinder.
As a further optimization of the technical scheme, the controller is connected with a switch of the air compressor through a data line.
The beneficial effects of adopting above technical scheme are: this application teaching robot through visual identification passes through the vehicle bottom camera discernment effective crop and weeds, detects the operation back and passes through walking wheel and horizontal slide rail location weeds, and the cylinder drives the grass spade and accomplishes ruderal root system excision, and two grass spades are used for improving weeding efficiency, and top solar panel continuously provides the energy. The application teaching robot through visual identification can visually identify crops and weeds through an industrial camera, accurately scoop up the root systems of the weeds, inhibit production and radically weed.
Description of the drawings:
the following describes the embodiments of the present utility model in further detail with reference to the accompanying drawings.
FIG. 1 is a schematic view of a vision recognition applied teaching robot according to the present utility model;
FIG. 2 is a schematic view of the bottom structure of the application teaching robot through visual recognition of the present utility model;
fig. 3 is a schematic view of an internal structure of the application teaching robot through visual recognition according to the present utility model.
The solar energy collecting device comprises a 1-solar cell panel, a 2-frame, a 3-universal wheel, a 4-travelling wheel, a 5-light supplementing lamp, a 6-camera, a 7-driving motor, an 8-weed shovel A, a 9-weed shovel B, a 10-sliding rail, a 11-controller, a 12-air compressor, a 13-adjustable cylinder, a 14-traction belt, a 15-industrial camera and a 16-annular light source.
The specific embodiment is as follows:
preferred embodiments of the application teaching robot by visual recognition according to the present utility model will be described in detail with reference to the accompanying drawings.
Fig. 1, 2 and 3 show a specific embodiment of the application teaching robot by visual recognition according to the present utility model:
in combination with fig. 1, fig. 2 and fig. 3, the application teaching robot through visual recognition includes a frame 2 with a solar panel 1 installed at the top, two universal wheels 3 and two travelling wheels 4 installed at the bottom of the frame 2, a driving motor 7 and a controller 11 installed inside the frame 2, an air compressor 12 connected with the controller 11, an adjustable cylinder 13 connected with the air compressor 12, the driving motor 7 driving the two travelling wheels 4 through a traction belt 14, two parallel sliding rails 10 installed at the bottom of the frame 2, a weed shovel A8 and a weed shovel B9 installed on the two sliding rails 10, the weed shovel A8 and the weed shovel B9 both connected with the corresponding adjustable cylinder 13, a camera 6 with a light supplementing lamp 5 installed at the front of the frame 2, and an industrial camera 15 and an annular light source 16 installed at the rear of the frame 2.
The solar panel 1 is connected with the driving motor 7, the controller 11 and the air compressor 12 through wires, and the solar panel 1 provides electric energy for the driving motor 7, the controller 11 and the air compressor 12. The camera 6 and the industrial camera 15 are both connected with the controller 11 through data lines. The air compressor 12 drives the grass removing shovel A8 and the grass removing shovel B9 to move on the sliding rail 10 through the adjustable air cylinder 13. The controller 11 is connected to a switch of the air compressor 12 through a data line.
This application teaching robot through visual identification uses mode: the weeding robot is parked outdoors and can continuously charge through the solar cell panel 1 irradiated by sunlight, weeds begin to be treated regularly when weeds sprout at a bit of time after crop sowing, a built-in GPS (global positioning system) is used for scanning and identifying according to preset tracks, crop samples can be obtained through early training, plant weeding shovels outside the samples are moved to corresponding positions to downwards deviate by a certain distance, the plants are shoveled along root systems, the weeding purpose is achieved, and other crop weeding tasks can be executed when the upper-layer sunlight weeding robot is shielded by the crop growing height.
The foregoing is merely a preferred embodiment of the present utility model, and it should be noted that modifications and improvements could be made by those skilled in the art without departing from the inventive concept, which fall within the scope of the present utility model.
Claims (6)
1. An application teaching robot through visual recognition, characterized in that: the utility model provides an application teaching robot through visual identification includes frame (2) of solar cell panel (1) are installed at the top, two universal wheels (3) and two walking wheels (4) are installed to frame (2) bottom, frame (2) internally mounted has driving motor (7) and controller (11), air compressor (12) are connected to controller (11), adjustable cylinder (13) are connected to air compressor (12), driving motor (7) drive two walking wheels (4) through traction belt (14), two slide rail (10) that are parallel are installed to frame (2) bottom, install respectively on two slide rail (10) and remove shovel A (8) and remove shovel B (9), remove shovel A (8) and remove shovel B (9) all and be connected with adjustable cylinder (13) that correspond, camera (6) of taking light filling lamp (5) are installed at frame (2) front portion, industry camera (15) and annular light source (16) are installed at frame (2) rear portion.
2. The vision-identified application teaching robot of claim 1, wherein: the solar panel (1) is connected with the driving motor (7), the controller (11) and the air compressor (12) through wires.
3. The vision-identified application teaching robot of claim 1, wherein: the camera (6) and the industrial camera (15) are connected with the controller (11) through data lines.
4. The vision-identified application teaching robot of claim 1, wherein: the air compressor (12) drives the weed shovel A (8) and the weed shovel B (9) to move on the sliding rail (10) through the adjustable air cylinder (13).
5. The vision-identified application teaching robot of claim 1, wherein: the controller (11) is connected with a switch of the air compressor (12) through a data line.
6. The vision-identified application teaching robot of claim 1, wherein: the application teaching robot through visual recognition can be combined with an agricultural scene to implement intelligent manufacturing teaching.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202321675153.7U CN220252747U (en) | 2023-06-29 | 2023-06-29 | Application teaching robot through visual identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202321675153.7U CN220252747U (en) | 2023-06-29 | 2023-06-29 | Application teaching robot through visual identification |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN220252747U true CN220252747U (en) | 2023-12-26 |
Family
ID=89267711
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202321675153.7U Active CN220252747U (en) | 2023-06-29 | 2023-06-29 | Application teaching robot through visual identification |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN220252747U (en) |
-
2023
- 2023-06-29 CN CN202321675153.7U patent/CN220252747U/en active Active
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