UAV image self-inspection defect recognition management monitoring system

Abstract

The unmanned aerial vehicle image self-inspection defect identification management and monitoring system relates to the technical field of unmanned aerial vehicle control systems. It comprises an unmanned aerial vehicle body, unmanned aerial vehicle wings, a main control system, a main camera, a first secondary camera, a second secondary camera, a third secondary camera, a main self-inspection system, a first secondary self-inspection system, a second secondary self-inspection system, and a third secondary self-inspection system; the main control system is installed inside the unmanned aerial vehicle body, and the main camera is installed on the front side of the unmanned aerial vehicle body; the first secondary camera and the second secondary camera are respectively installed below the unmanned aerial vehicle wings on the left and right sides of the unmanned aerial vehicle body; the main self-inspection system is installed inside the main camera, and the main control system is electrically connected to the main self-inspection system, the first secondary self-inspection system, the second secondary self-inspection system, and the third secondary self-inspection system. The fidelity of the image is improved, and the time for the system to process the image is shortened. There is no need to frequently upgrade the system, which reduces costs, has strong applicability, and has a wide range of applications.

Description

Technical Field

[0001] The present invention relates to the technical field of unmanned aerial vehicle control systems, and in particular to a unmanned aerial vehicle image self-inspection defect recognition management and monitoring system. Background Art

[0002] Existing drones are usually equipped with image processing systems. The drone's built-in image acquisition equipment transmits the captured images to the drone's image processing computer for image compression and other operations. However, most existing drone image processing systems do not have a defect self-inspection management system, so it is easy to have image confusion or slow image processing speed, which seriously affects the post-processing progress of drone photography and increases the intensity of post-processing work. In addition, since the improvement of the system is relatively complex and the cost is relatively high, its application field is small and its applicability is weak. Summary of the invention

[0003] The purpose of the present invention is to provide a UAV image self-inspection defect identification management and monitoring system in view of the defects and shortcomings of the prior art. The system has a simple structure and can be highly matched with the main control system of the UAV. It can realize non-stuttering image transmission between the UAV image processing system and perform self-determination of defects on the image to be processed before processing to ensure the quality of the image to be processed, avoid disorder of the received image, improve the fidelity of the image, and shorten the time for the system to process the image. There is no need to frequently upgrade the system, which reduces costs, has strong applicability and a wide range of applications.

[0004] To achieve the above-mentioned purpose, the present invention adopts the following technical scheme: it comprises a drone body 1, a drone wing 2, a main control system 3, a main camera 4, a first auxiliary camera 5, a second auxiliary camera 6, a third auxiliary camera 7, a main self-test system 8, a first auxiliary self-test system 9, a second auxiliary self-test system 10, and a third auxiliary self-test system 11; the main control system 3 is installed inside the drone body 1, and the main camera 4 is installed on the front side of the drone body 1; the first auxiliary camera 5 and the second auxiliary camera 6 are respectively installed below the drone wings 2 on the left and right sides of the drone body 1; the main self-test system 8 is installed inside the main camera 4, and the first auxiliary self-test system 9, the second auxiliary self-test system 10, and the third auxiliary self-test system 11 are respectively installed inside the first auxiliary camera 5, the second auxiliary camera 6, and the third auxiliary camera 7; and the main control system 3 is electrically connected to the main self-test system 8, the first auxiliary self-test system 9, the second auxiliary self-test system 10, and the third auxiliary self-test system 11, and is electrically connected to the drone battery.

[0005] Furthermore, the main camera 4 is an 8K resolution camera, and the first sub-camera 5, the second sub-camera 6, and the third sub-camera 7 are all 4K resolution cameras.

[0006] Furthermore, the main self-checking system 8 is a primary self-checking system, and the first secondary self-checking system 9, the second secondary self-checking system 10, and the third secondary self-checking system 11 constitute a secondary self-checking system, and the primary self-checking system is controlled by the signal transmission of the secondary self-checking system.

[0007] Furthermore, the number of cameras installed under the drone wing 2 is temporarily loaded and unloaded according to the actual working environment of the drone to match the working environment.

[0008] Furthermore, the number of sub-self-inspection systems included in the secondary self-inspection system is determined by the number of installed sub-cameras, and the ratio of the number of sub-self-inspection systems to the number of sub-cameras is 1:1.

[0009] The working principle of the present invention is as follows: the main control system 3 controls the main camera 4, the first sub-camera 5, the second sub-camera 6, and the third sub-camera 7 to work simultaneously, and the first sub-self-inspection system 9, the second sub-self-inspection system 10, and the third sub-self-inspection system 11 in the first sub-camera 5, the second sub-camera 6, and the third sub-camera 7 perform a first image damage and distortion detection on the image content collected by the camera, and transmit it to the main self-inspection system 8 after the detection is completed. The main control system 3 compares it with the image collected by the main camera 4 as a second self-inspection. If the comparison result is correct, the image collected by the main camera 4 is used. If the comparison result is greatly different, the main control system 3 identifies the image quality. If the image quality of the first-level self-inspection system is high, the first-level self-inspection image is used, and if the image quality of the second-level self-inspection system is high, the second-level self-inspection image is used.

[0010] After adopting the above technical scheme, the beneficial effects of the present invention are: it has a simple structure, and can be highly matched with the operation of the drone main control system, can realize non-stuttering image transmission between the drone image processing system, and can perform self-determination of defects on the image to be processed before processing to ensure the quality of the image to be processed, avoid disorder in the received image, improve the fidelity of the image, and shorten the time for the system to process the image. There is no need to frequently upgrade the system, which reduces costs, has strong applicability, and a wide range of applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0012] Figure 1 It is a schematic diagram of the structure of the present invention;

[0013] Figure 2It is a schematic block diagram of the working principle of the present invention.

[0014] Explanation of the accompanying drawings: human-machine body 1, drone wing 2, main control system 3, main camera 4, first auxiliary camera 5, second auxiliary camera 6, third auxiliary camera 7, main self-inspection system 8, first auxiliary self-inspection system 9, second auxiliary self-inspection system 10, third auxiliary self-inspection system 11. DETAILED DESCRIPTION

[0015] See also Figure 1-Figure 2 As shown, the technical solution adopted in this specific embodiment is: it includes a drone body 1, a drone wing 2, a main control system 3, a main camera 4, a first secondary camera 5, a second secondary camera 6, a third secondary camera 7, a main self-test system 8, a first secondary self-test system 9, a second secondary self-test system 10, and a third secondary self-test system 11; the main control system 3 is installed inside the drone body 1, and the main camera 4 is installed on the front side of the drone body 1; the first secondary camera 5 and the second secondary camera 6 are respectively installed below the drone wings 2 on the left and right sides of the drone body 1; the main self-test system 8 is installed inside the main camera 4, and the first secondary self-test system 9, the second secondary self-test system 10, and the third secondary self-test system 11 are respectively installed inside the first secondary camera 5, the second secondary camera 6, and the third secondary camera 7; and the main control system 3 is electrically connected to the main self-test system 8, the first secondary self-test system 9, the second secondary self-test system 10, and the third secondary self-test system 11, and is electrically connected to the drone battery.

[0016] Furthermore, the main camera 4 is an 8K resolution camera, and the first sub-camera 5, the second sub-camera 6, and the third sub-camera 7 are all 4K resolution cameras. By using cameras with different resolutions, in conjunction with the primary self-inspection system and the secondary self-inspection system, image distortion and damage defects can be directly identified.

[0017] Furthermore, the main self-checking system 8 is a primary self-checking system, and the first secondary self-checking system 9, the second secondary self-checking system 10, and the third secondary self-checking system 11 constitute a secondary self-checking system, and the primary self-checking system is controlled by the signal transmission of the secondary self-checking system.

[0018] Furthermore, the number of cameras installed under the drone wing 2 is temporarily loaded and unloaded according to the actual working environment of the drone to match the working environment. It is suitable for different working environments, meets the large cardinality sampling of image collection self-inspection in harsh environments, and improves the image high-quality self-inspection performance.

[0019] Furthermore, the number of sub-self-inspection systems included in the secondary self-inspection system is determined by the number of sub-cameras installed, and the ratio of the number of sub-self-inspection systems to sub-cameras is 1:1. One sub-self-inspection system corresponds to one sub-camera, and multiple copies of image data of the same viewing angle can be collected, which is convenient for accurate comparison.

[0020] The working principle of the present invention is as follows: the main control system 3 controls the main camera 4, the first sub-camera 5, the second sub-camera 6, and the third sub-camera 7 to work simultaneously, and the first sub-self-inspection system 9, the second sub-self-inspection system 10, and the third sub-self-inspection system 11 in the first sub-camera 5, the second sub-camera 6, and the third sub-camera 7 perform a first image damage and distortion detection on the image content collected by the camera, and transmit it to the main self-inspection system 8 after the detection is completed. The main control system 3 compares it with the image collected by the main camera 4 as a second self-inspection. If the comparison result is correct, the image collected by the main camera 4 is used. If the comparison result is greatly different, the main control system 3 identifies the image quality. If the image quality of the first-level self-inspection system is high, the first-level self-inspection image is used, and if the image quality of the second-level self-inspection system is high, the second-level self-inspection image is used.

[0021] After adopting the above technical scheme, the beneficial effects of the present invention are: it has a simple structure, and can be highly matched with the operation of the drone main control system, can realize non-stuttering image transmission between the drone image processing system, and can perform self-determination of defects on the image to be processed before processing to ensure the quality of the image to be processed, avoid disorder in the received image, improve the fidelity of the image, and shorten the time for the system to process the image. There is no need to frequently upgrade the system, which reduces costs, has strong applicability, and a wide range of applications.

[0022] The above description is only used to illustrate the technical solution of the present invention rather than to limit it. Other modifications or equivalent substitutions made to the technical solution of the present invention by ordinary technicians in this field should be included in the scope of the claims of the present invention as long as they do not depart from the spirit and scope of the technical solution of the present invention.

Claims

1. A drone image self-inspection defect recognition management and monitoring method, applied to a drone image self-inspection defect recognition management and monitoring system, characterized in that Its working method comprises the following steps: the main control system (3) controls the main camera (4), the first auxiliary camera (5), the second auxiliary camera (6), and the third auxiliary camera (7) to work simultaneously; the first auxiliary self-inspection system (9), the second auxiliary self-inspection system (10), and the third auxiliary self-inspection system (11) in the first auxiliary camera (5), the second auxiliary camera (6), and the third auxiliary camera (7) perform a first image damage and distortion detection on the image content collected by the camera, and transmit the detection to the main self-inspection system (8); the main control system (3) compares the image with the image collected by the main camera (4) as a second self-inspection; if the comparison result is correct, the image collected by the main camera (4) is used; if the comparison result is significantly different, the main control system (3) identifies the image quality; if the image quality of the first-level self-inspection system is high, the first-level self-inspection image is used; if the image quality of the second-level self-inspection system is high, the second-level self-inspection image is used; The unmanned aerial vehicle image self-inspection defect recognition management and monitoring system comprises an unmanned aerial vehicle body (1), unmanned aerial vehicle wings (2), a main control system (3), a main camera (4), a first auxiliary camera (5), a second auxiliary camera (6), a third auxiliary camera (7), a main self-inspection system (8), a first auxiliary self-inspection system (9), a second auxiliary self-inspection system (10), and a third auxiliary self-inspection system (11); the main control system (3) is installed inside the unmanned aerial vehicle body (1), and the main camera (4) is installed on the front side of the unmanned aerial vehicle body (1); the first auxiliary camera (5) and the second auxiliary camera (6) are respectively installed below the unmanned aerial vehicle wings (2) on the left and right sides of the unmanned aerial vehicle body (1); the main self-inspection system (8) is installed inside the main camera (4), and the first auxiliary self-inspection system (9), the second auxiliary self-inspection system (10), and the third auxiliary self-inspection system (11) are respectively installed inside the first auxiliary camera (5), the second auxiliary camera (6), and the third auxiliary camera (7); and The main control system (3) is electrically connected to the main self-checking system (8), the first auxiliary self-checking system (9), the second auxiliary self-checking system (10), and the third auxiliary self-checking system (11), and is also electrically connected to the drone battery; the main camera (4) is an 8K resolution camera, and the first auxiliary camera (5), the second auxiliary camera (6), and the third auxiliary camera (7) are all 4K resolution cameras; the main self-checking system (8) is a primary self-checking system, and the first auxiliary self-checking system (9), the second auxiliary self-checking system (10), and the third auxiliary self-checking system (11) constitute a secondary self-checking system, and the primary self-checking system is controlled by the signal transmission of the secondary self-checking system; the number of cameras installed under the drone wing (2) is temporarily loaded and unloaded according to the actual working environment of the drone to match the working environment; the number of each auxiliary self-checking system contained in the secondary self-checking system is determined by the number of auxiliary cameras installed, and the ratio of the number of auxiliary self-checking systems to the number of auxiliary cameras is 1:1.

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