Trolley based on depth visual identification

By combining vertical plates, connecting plates, bearings, and other structures, the visual recognition module is automatically adjusted and protected, solving the problem of exposed and easily damaged visual recognition components and improving the service life and stability of the equipment.

CN223782584UActive Publication Date: 2026-01-09BEIJING YUNZHI KEYI TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202520635804.2
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2025-04-07
Publication Date
2026-01-09
Estimated Expiration
2035-04-07

AI Technical Summary

Technical Problem

The visual recognition components of existing depth-sensing vehicles are exposed to the outside, making them susceptible to damage from external objects and resulting in a shortened lifespan of the equipment.

Method used

The system employs a combination of vertical plates, connecting plates, bearings, threaded pipes, threaded rods, support plates, L-shaped support frames, vision recognition modules, servo motors, first gears, and second gears to achieve automatic adjustment and protection of the vision recognition module. Combined with the inclusion of sliding grooves, sliding blocks, inclined plates, pushers, springs, circular plates, support legs, moving wheels, and dampers, the system enhances the stability and convenience of the equipment.

Benefits of technology

It significantly increases the lifespan of the visual recognition module and the stability of the equipment, is easy to move and has shock-resistant features, protecting the visual recognition module from external damage.

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Abstract

The utility model discloses a trolley based on depth visual identification, which belongs to the technical field of depth visual identification application, and comprises a trolley body, two vertical plates are fixedly connected to the bottom surface of the trolley body, a connecting plate is fixedly connected to one side surfaces, close to each other, of the two vertical plates, a bearing is fixedly embedded in the upper surface of the connecting plate, and the bearing is fixedly connected to the bottom surface of the trolley body. Through cooperation of a vertical plate, a connecting plate, a bearing, a threaded pipe, a threaded rod, a supporting plate, an L-shaped supporting frame, a visual identification module, a servo motor, a first gear, a second gear and a strip-shaped opening, the equipment can automatically adjust the visual identification module, so that the equipment can protect the visual identification module; the service life of the visual identification module is greatly prolonged, and by arranging a sliding groove, a sliding block, an inclined plate, a pushing handle, a spring, a circular plate, supporting legs, moving wheels and a damper, the stability of the visual identification module is improved, people can conveniently move the equipment, and the equipment has the anti-seismic characteristic.
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Description

Technical Field

[0001] This utility model relates to the field of depth vision recognition application technology, specifically a car based on depth vision recognition. Background Technology

[0002] Visual recognition refers to the unified visual recognition representation and standardization and proprietaryization of all visible things in an enterprise. With the continuous development of computer vision technology, image processing technology has been widely used in many fields. When inspecting warehouses, a vehicle with depth vision recognition is generally used for inspection.

[0003] Currently, when a vehicle equipped with depth vision recognition is in use, the vision recognition component is fixed to the upper part of a wheeled motion platform. Then, under the action of the vision recognition module, it can inspect the warehouse. However, since the vision recognition component is exposed to the outside, it is easily damaged by external objects when not in use, which greatly shortens the service life of the equipment. Therefore, those skilled in the art have provided a vehicle based on depth vision recognition to solve the problems mentioned in the background art. Utility Model Content

[0004] The purpose of this invention is to provide a vehicle based on depth vision recognition to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, this utility model provides the following technical solution:

[0006] A depth-based vision recognition vehicle includes a vehicle body. Two vertical plates are fixedly connected to the bottom surface of the vehicle body. A connecting plate is fixedly connected to one side of the two vertical plates that are close to each other. A bearing is fixedly embedded in the upper surface of the connecting plate. A threaded tube is fixedly connected to the inner ring of the bearing. A threaded rod is threadedly connected to the inner wall of the threaded tube. A support plate is fixedly connected to the top of the threaded rod. Two L-shaped support frames are fixedly connected to the upper surface of the support plate. A vision recognition module is fixedly connected to one end of the two L-shaped support frames that are close to each other. A servo motor is fixedly connected to the upper surface of the connecting plate. A first gear is fixedly connected to the output end of the servo motor. A second gear is fixedly connected to the outer surface of the threaded tube.

[0007] As a further improvement of this utility model: the first gear meshes with the second gear, and a strip-shaped opening is provided on the upper surface of the vehicle body.

[0008] As a further improvement of this utility model: the inner wall of the strip-shaped opening is provided with symmetrical sliding grooves, and sliding blocks are slidably connected inside the two sliding grooves.

[0009] As a further improvement of this utility model: the two sliding blocks are fixedly connected to the support plate on their sides that are close to each other, and warning signs are fixedly connected to the front and back of the vehicle body.

[0010] As a further improvement of this utility model: two inclined plates are fixedly connected to the left side of the vehicle body, and a pusher is fixedly connected to one side of the two inclined plates that are close to each other.

[0011] As a further improvement of this utility model: two sets of springs are fixedly connected to the bottom surface of the vehicle body, and a circular plate is fixedly connected to the bottom end of each spring.

[0012] As a further improvement of this utility model: each of the circular plates is fixedly connected to a support leg on its bottom surface, and each of the support legs is fixedly connected to a movable wheel at its bottom end.

[0013] As a further improvement of this utility model: a damper is fixedly connected to the upper surface of each of the circular plates, and the output end of each of the dampers is fixedly connected to the vehicle body.

[0014] Compared with the prior art, the beneficial effects of this utility model are:

[0015] This depth-based vision recognition-based trolley, through the cooperation of vertical plates, connecting plates, bearings, threaded pipes, threaded rods, support plates, L-shaped support frames, vision recognition modules, servo motors, first gears, second gears, and strip-shaped openings, enables the equipment to automatically adjust the vision recognition module, thereby protecting the module and significantly increasing its service life. The inclusion of sliding grooves, sliding blocks, inclined plates, push handles, springs, circular plates, support legs, moving wheels, and dampers not only greatly increases the stability of the vision recognition module but also facilitates the movement of the equipment and provides it with shock resistance. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the three-dimensional structure of a car based on depth vision recognition;

[0017] Figure 2 This is a schematic diagram of the three-dimensional structure of a side view of a car based on depth vision recognition;

[0018] Figure 3 This is a schematic diagram of the three-dimensional structure of a car based on depth vision recognition, viewed from below.

[0019] Figure 4 This is a top-view schematic diagram of the three-dimensional structure of a car based on depth vision recognition;

[0020] Figure 5This is a side sectional view of the vehicle body in a car based on depth vision recognition.

[0021] In the diagram: 1. Vehicle body; 2. Vertical plate; 3. Connecting plate; 4. Bearing; 5. Threaded pipe; 6. Threaded rod; 7. Support plate; 8. L-shaped support frame; 9. Vision recognition module; 10. Servo motor; 11. First gear; 12. Sliding groove; 13. Sliding block; 14. Warning sign; 15. Inclined plate; 16. Push handle; 17. Spring; 18. Circular plate; 19. Support leg; 20. Moving wheel; 21. Damper; 22. Strip opening; 23. Second gear. Detailed Implementation

[0022] In the description of this utility model, it should be understood that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this utility model. Furthermore, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this utility model, unless otherwise stated, "a plurality of" means two or more.

[0023] In the description of this utility model, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this utility model based on the specific circumstances.

[0024] Please see Figures 1-5In this embodiment of the present invention, a vehicle based on depth vision recognition includes a vehicle body 1. Two vertical plates 2 are fixedly connected to the bottom surface of the vehicle body 1. A connecting plate 3 is fixedly connected to one side of the two vertical plates 2 that are close to each other. A bearing 4 is fixedly embedded in the upper surface of the connecting plate 3. A threaded tube 5 is fixedly connected to the inner ring of the bearing 4. A threaded rod 6 is threadedly connected to the inner wall of the threaded tube 5. A support plate 7 is fixedly connected to the top of the threaded rod 6. Two L-shaped support frames 8 are fixedly connected to the upper surface of the support plate 7. A vision recognition module 9 is fixedly connected to one end of the two L-shaped support frames 8 that are close to each other. A servo motor is fixedly connected to the upper surface of the connecting plate 3. The output end of the servo motor 10 is fixedly connected to a first gear 11, and the outer surface of the threaded tube 5 is fixedly connected to a second gear 23. This enables the device to protect the vision recognition module 9, thereby solving the problem mentioned in the background technology that currently, when a car with depth vision recognition is in use, the vision recognition component is fixed to the upper end of a wheeled motion platform, and then the vision recognition component can be used to inspect the warehouse. However, since the vision recognition component is exposed to the outside, it is easily damaged by external objects when not in use, thus greatly shortening the service life of the equipment.

[0025] The first gear 11 meshes with the second gear 23. A strip-shaped opening 22 is provided on the upper surface of the vehicle body 1. A symmetrical sliding groove 12 is provided on the inner wall of the strip-shaped opening 22. Sliding blocks 13 are slidably connected inside the two sliding grooves 12. The sides of the two sliding blocks 13 that are close to each other are fixedly connected to the support plate 7. Warning signs 14 are fixedly connected to the front and back of the vehicle body 1. These signs can not only warn the surrounding staff, but also protect the visual recognition module 9.

[0026] Two inclined plates 15 are fixedly connected to the left side of the vehicle body 1. A push handle 16 is fixedly connected to the side of the two inclined plates 15 that are close to each other. Two sets of springs 17 are fixedly connected to the bottom of the vehicle body 1. A circular plate 18 is fixedly connected to the bottom of each spring 17. A support leg 19 is fixedly connected to the bottom of each circular plate 18. A moving wheel 20 is fixedly connected to the bottom of each support leg 19. A damper 21 is fixedly connected to the upper surface of each circular plate 18. The output end of each damper 21 is fixedly connected to the vehicle body 1. This not only makes it convenient for people to move the equipment, but also makes the equipment have the characteristics of shock resistance.

[0027] The working principle of this utility model is as follows: First, people can move the equipment to the usage position and connect the power supply. When in use, the servo motor 10 can drive the threaded tube 5 to rotate. The rotation of the threaded tube 5 and the threaded rod 6 can drive the support plate 7 and the vision recognition module 9 to move to the outside of the slot 22. Then, the movement of the vehicle body 1 can drive the vision recognition module 9 to move. At this time, under the action of the vision recognition module 9, the warehouse interior can be inspected. After the inspection is completed, the reverse rotation of the servo motor 10 can drive the vision recognition module 9 to move down to the inside of the slot 22 to prevent external objects from damaging the vision recognition module 9.

[0028] The above description is merely a preferred embodiment of this utility model, but the scope of protection of this utility model is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the technical scope disclosed in this utility model, based on the technical solution and inventive concept of this utility model, should be included within the scope of protection of this utility model. It is obvious to those skilled in the art that this utility model is not limited to the details of the above exemplary embodiments, and that it can be implemented in other specific forms without departing from the spirit or basic characteristics of this utility model. Therefore, the embodiments should be considered exemplary and non-limiting in all respects. The scope of this utility model is defined by the appended claims rather than the foregoing description, and thus all variations falling within the meaning and scope of equivalent elements of the claims are intended to be included within this utility model. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0029] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A vehicle based on depth vision recognition, comprising a vehicle body (1), characterized in that, Two vertical plates (2) are fixedly connected to the bottom surface of the vehicle body (1). A connecting plate (3) is fixedly connected to one side of the two vertical plates (2) that are close to each other. A bearing (4) is fixedly embedded on the upper surface of the connecting plate (3). A threaded tube (5) is fixedly connected to the inner ring of the bearing (4). A threaded rod (6) is threadedly connected to the inner wall of the threaded tube (5). A support plate (7) is fixedly connected to the top of the threaded rod (6). Two L-shaped support frames (8) are fixedly connected to the upper surface of the support plate (7). A vision recognition module (9) is fixedly connected to one end of the two L-shaped support frames (8) that are close to each other. A servo motor (10) is fixedly connected to the upper surface of the connecting plate (3). A first gear (11) is fixedly connected to the output end of the servo motor (10). A second gear (23) is fixedly connected to the outer surface of the threaded tube (5).

2. The vehicle based on depth vision recognition according to claim 1, characterized in that, The first gear (11) meshes with the second gear (23), and a strip-shaped opening (22) is provided on the upper surface of the vehicle body (1).

3. A vehicle based on depth vision recognition according to claim 2, characterized in that, The inner wall of the strip-shaped opening (22) is provided with symmetrical sliding grooves (12), and sliding blocks (13) are slidably connected inside the two sliding grooves (12).

4. A vehicle based on depth vision recognition according to claim 3, characterized in that, The two sliding blocks (13) are fixedly connected to the support plate (7) on their sides that are close to each other. Warning signs (14) are fixedly connected to the front and back of the vehicle body (1).

5. A vehicle based on depth vision recognition according to claim 4, characterized in that, Two inclined plates (15) are fixedly connected to the left side of the vehicle body (1), and a pusher (16) is fixedly connected to the side of the two inclined plates (15) that are close to each other.

6. A vehicle based on depth vision recognition according to claim 1, characterized in that, Two sets of springs (17) are fixedly connected to the bottom surface of the vehicle body (1), and a circular plate (18) is fixedly connected to the bottom end of each spring (17).

7. A vehicle based on depth vision recognition according to claim 6, characterized in that, Each of the circular plates (18) has a support leg (19) fixedly connected to its bottom surface, and each of the support legs (19) has a moving wheel (20) fixedly connected to its bottom end.

8. A vehicle based on depth vision recognition according to claim 6, characterized in that, Each of the circular plates (18) has a damper (21) fixedly connected to its upper surface, and the output end of each damper (21) is fixedly connected to the vehicle body (1).