Self-maintenance type unmanned aerial vehicle image recognition assembly

Abstract

The utility model discloses a self-maintenance type unmanned aerial vehicle image recognition assembly, and belongs to the technical field of unmanned aerial vehicles. Comprising a machine body, a supporting frame is fixedly connected below the machine body through a connecting rod, and an image recognition assembly is arranged in the supporting frame; an infrared monitor is fixedly arranged below the machine body, and a wind power monitor is arranged at the lower end of the supporting frame. A data analysis processor is arranged in the support; a central controller is arranged on the machine body; a cleaning rod is rotationally arranged in front of the supporting frame and corresponds to the image recognition assembly in position. A rotating structure in circuit connection with the central controller is arranged on the side face of the supporting frame, and the rotating structure is connected with the sweeping rod. According to the self-maintenance unmanned aerial vehicle, by arranging the multiple monitoring assemblies, some sundries in front of the route of the unmanned aerial vehicle can be monitored, meanwhile, the sweeping rod can remove dust or sundries attached to the image recognition head, and therefore the self-maintenance function of the unmanned aerial vehicle is achieved.

Description

Technical Field

[0001] The utility model provides a self-maintaining unmanned aerial vehicle image recognition component, belonging to the technical field of unmanned aerial vehicles. Background Art

[0002] Drones have evolved from simple remote-controlled aircraft to intelligent flying devices that can autonomously navigate and perform tasks in various environments. Drones are widely used in many fields such as agriculture, environmental monitoring, geographic mapping, security monitoring, express delivery, etc., and accurate data collection and information processing capabilities are the key to the role of drones in these fields.

[0003] To ensure the accuracy of data collection and information processing, drones are usually equipped with image recognition components. However, during the flight of the drone, floating garbage in the air, such as plastic bags and leaves, can easily cover the image recognition components, affecting the normal shooting and information collection of the drone. At the same time, when the drone is used for a long time, a lot of dust will accumulate at the position of the image recognition head. To ensure the accuracy of image recognition, the user needs to recycle the drone in time and clean the dust, which affects the working process of the drone. In response to the above problems, a self-maintaining drone image recognition component is needed. Utility Model Content

[0004] The technical problem to be solved by the utility model is.

[0005] In order to solve the above-mentioned problems, the utility model proposes the following technical solutions: a self-maintaining unmanned aerial vehicle image recognition component, comprising a body, a support frame fixedly connected to the body through a connecting rod below, and an image recognition component is arranged in the support frame; an infrared monitor is fixedly arranged below the body, and a wind monitor is arranged at the lower end of the support frame; a data analysis processor is arranged on the support frame, and the wind monitor is connected to the infrared monitor and the data analysis processor circuit; a central controller is arranged on the body, and the data analysis processor is connected to the central controller circuit; a cleaning rod is rotatably arranged in front of the support frame, and the cleaning rod corresponds to the position of the image recognition component; a rotating structure connected to the central controller circuit is arranged on the side of the support frame, and the rotating structure is connected to the cleaning rod.

[0006] As an improvement, the central controller stores real-time flight data of the UAV, and the image recognition component is connected to the data analysis processor circuit.

[0007] As an improvement, the rotating structure includes a fixed plate, a micromotor, and a rotating shaft. The fixed plate is fixedly arranged on both sides of the support frame, the micromotor is arranged behind the fixed plate, the rotating shaft is fixedly connected to the output shaft of the micromotor, and the cleaning rod is fixedly connected to the rotating shaft.

[0008] As an improvement, the micromotor is connected to a central controller circuit.

[0009] As an improvement, the image recognition component includes an image recognition head exposed from the support frame, and a brush is fixedly connected to one side of the cleaning rod, and the position of the brush corresponds to that of the image recognition head.

[0010] Beneficial effects of the utility model:

[0011] 1. The wind monitor, infrared monitor and data analysis processor circuit are connected, and the data analysis processor is connected to the central controller circuit; by setting up wind monitor, infrared monitor and image recognition component, some debris in front of the UAV route is monitored, and the central controller automatically changes the navigation direction of the UAV to prevent plastic bags, leaves and other debris from affecting the working state of the image recognition component.

[0012] 2. A cleaning rod is rotatably arranged in front of the support frame, and the position of the cleaning rod corresponds to that of the image recognition component; by setting the cleaning rod, dust or debris attached to the image recognition head can be removed, thereby achieving the function of self-maintenance of the image recognition component of the drone. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a stereoscopic diagram of a self-maintaining UAV image recognition component of the utility model.

[0014] Figure 2 This is a stereoscopic diagram from another perspective of the self-maintaining UAV image recognition component of the utility model.

[0015] Figure 3 This is a rear view of a self-maintaining UAV image recognition component of the utility model.

[0016] Figure 4 This is a circuit connection structure diagram of a self-maintaining UAV image recognition component of the utility model.

[0017] 1. Machine body; 2. Support frame; 3. Image recognition component; 4. Central controller; 5. Infrared detector; 6. Connecting rod; 7. Cleaning rod; 8. Brush; 9. Fixed plate; 10. Rotating shaft; 11. Wind monitor; 12. Data analysis processor; 13. Micro motor. DETAILED DESCRIPTION

[0018] The utility model is further described below in conjunction with the accompanying drawings.

[0019] according to Figure 1-4As shown: The utility model provides a self-maintaining unmanned aerial vehicle image recognition component: it includes a body 1, a support frame 2 is fixedly connected to the body 1 through a connecting rod 6 below, and an image recognition component 3 is arranged in the support frame 2; an infrared monitor 5 is fixedly arranged below the body 1, and a wind monitor 11 is arranged at the lower end of the support frame 2; a data analysis processor 12 is arranged on the support frame 2, and the wind monitor 11 is circuit-connected with the infrared monitor 5 and the data analysis processor 12; a central controller 4 is arranged on the body 1, and the data analysis processor 12 is circuit-connected with the central controller 4; a cleaning rod 7 is rotatably arranged in front of the support frame 2, and the cleaning rod 7 corresponds to the position of the image recognition component 3; a rotating structure connected to the central controller 4 circuit is arranged on the side of the support frame 2, and the rotating structure is connected to the cleaning rod 7.

[0020] By setting up a wind monitor 11, an infrared monitor 5, and an image recognition component 3, some debris ahead of the UAV route is monitored, and the navigation direction of the UAV is automatically changed through the central controller 4 to prevent the debris in the air from affecting the normal operation of the image recognition component 3 and the UAV; at the same time, a cleaning rod 7 is set to remove dust or debris attached to the image recognition head, thereby achieving the self-maintenance function of the UAV.

[0021] The central controller 4 stores the real-time flight data of the drone, and the image recognition component 3 is connected to the data analysis processor 12 circuit, which can transmit the captured images to the data analysis processor 12, and then combine the infrared monitor 5 and the wind monitor 11 to predict the travel trajectory of the floating debris in front, and then compare the flight path of the drone itself, so as to change the drone route in time to avoid contact with the debris.

[0022] like Figure 2 , 3 As shown, the rotating structure includes a fixed plate 9, a micro motor 13, and a rotating shaft 10. The fixed plate 9 is fixedly arranged on both sides of the support frame 2, the micro motor 13 is arranged behind the fixed plate 9, the rotating shaft 10 is fixedly connected to the output shaft of the micro motor 13, and the cleaning rod 7 is fixedly connected to the rotating shaft 10. The micro motor 13 is connected to the central controller 4. Through the micro motor 13 and the rotating structure, the rotation control of the cleaning rod 7 can be facilitated.

[0023] The image recognition component 3 includes an image recognition head exposed from the support frame 2. A brush 8 is fixedly connected to one side of the cleaning rod 7, and the brush 8 corresponds to the position of the image recognition head, so that impurities and dust attached to the image recognition head can be cleaned off when rotating.

[0024] Principle of the utility model

[0025] like Figure 1-3As shown, during the normal flight of the UAV, the image recognition component 3 can normally shoot the front picture, and the wind monitor 11 can monitor the wind in real time. At the same time, with the cooperation of the infrared monitor 5, when floating garbage such as plastic bags and leaves appear in front, the data analysis processor 12 can conduct a comprehensive analysis of the front environment and wind force of the UAV flight, make a prediction in time, and transmit the prediction result to the central controller 4. The central controller 4 controls the UAV to temporarily change its route to avoid garbage covering the UAV and the image recognition component 3 and affecting the information collection of the UAV.

[0026] When a drone flies for a long time or in an environment with high dust content, thick dust often accumulates on the image recognition head. When the dust on the image recognition head accumulates to a certain extent, the image recognition component 3 transmits a signal to the central controller 4 through the data analysis processor 12. The central controller 4 controls the micromotor 13 to operate, so that the cleaning rod 7 and the brush 8 rotate to clean the image recognition head. There is no need to recover the drone for cleaning by the user, which is very convenient and can achieve the effect of self-maintenance of the drone image recognition component 3.

[0027] The above description of the utility model and its implementation methods is not restrictive. The drawings show only one implementation method of the utility model, and the actual structure is not limited thereto. In short, if ordinary technicians in this field are inspired by it and design structural methods and embodiments similar to the technical solution without creativity without departing from the purpose of the invention of the utility model, they should all fall within the protection scope of the utility model.

Claims

1. A self-maintaining unmanned aerial vehicle image recognition component, comprising a body (1), a support frame (2) fixedly connected to the body (1) below via a connecting rod (6), and an image recognition component (3) arranged in the support frame (2); characterized in that: An infrared detector (5) is fixedly arranged below the machine body (1), and a wind force monitor (11) is arranged at the lower end of the support frame (2); a data analysis processor (12) is arranged on the support frame (2), and the wind force monitor (11), the infrared detector (5) and the data analysis processor (12) are connected in circuit; a central controller (4) is arranged on the machine body (1), and the data analysis processor (12) is connected in circuit to the central controller (4); a cleaning rod (7) is rotatably arranged in front of the support frame (2), and the cleaning rod (7) corresponds to the position of the image recognition component (3); a rotating structure connected in circuit to the central controller (4) is arranged on the side of the support frame (2), and the rotating structure is connected to the cleaning rod (7).

2. The self-maintaining drone image recognition component according to claim 1, characterized in that: The central controller (4) stores real-time flight data of the drone, and the image recognition component (3) is connected to a data analysis processor (12) circuit.

3. The self-maintaining drone image recognition component according to claim 1, characterized in that: The rotating structure comprises a fixed plate (9), a micromotor (13), and a rotating shaft (10); the fixed plate (9) is fixedly arranged on both sides of the support frame (2); the micromotor (13) is arranged behind the fixed plate (9); the rotating shaft (10) is fixedly connected to the output shaft of the micromotor (13); and the cleaning rod (7) is fixedly connected to the rotating shaft (10).

4. The self-maintaining drone image recognition component according to claim 3, characterized in that: The micro motor (13) is connected to the central controller (4) circuit.

5. The self-maintaining drone image recognition component according to claim 1, characterized in that: The image recognition component (3) comprises an image recognition head exposed from the support frame (2); a brush (8) is fixedly connected to one side of the cleaning rod (7), and the position of the brush (8) corresponds to that of the image recognition head.

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