Unmanned aerial vehicle line patrol image auxiliary acquisition method and system based on resolution reconstruction

A technology of resolution reconstruction and acquisition method, which is applied in the field of auxiliary acquisition of UAV line inspection images, can solve the problems affecting the validity of inspection results, false detection, missed detection, etc., to improve the quality and effectiveness of collection, and to identify accurately The effect of high rate and reduction of redundant data

Pending Publication Date: 2022-03-11
ZHANGZHOU POWER SUPPLY COMPANY STATE GRID FUJIANELECTRIC POWER +1
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  • Summary
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AI Technical Summary

Benefits of technology

The technical feature described by this patented technology involves improving the speed at which surveillance drones can detect targets during flight without being affected or interfered with their movements. This results from combining two methods: one uses an algorithm that reconstructs images captured through cameras attached to dronies while another analyzes them for specific attributes like race gender or location. By doing these techniques, dronys have better visibility over areas where they shouldn't be detected. Overall, this innovation enhances security measures against threatening attacks such as terrorist activities.

Problems solved by technology

Technically speaking, this technology solves issues related to capturing multiple low quality videos from an aircraft's surveillance cameras while also improving upon previous techniques like manually inspecting them. However, these improvements have been limited because they require expensive equipment at the airport level.

Method used

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  • Unmanned aerial vehicle line patrol image auxiliary acquisition method and system based on resolution reconstruction
  • Unmanned aerial vehicle line patrol image auxiliary acquisition method and system based on resolution reconstruction
  • Unmanned aerial vehicle line patrol image auxiliary acquisition method and system based on resolution reconstruction

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Embodiment 1

[0049] see figure 1 , On the one hand, the present invention provides a resolution-based reconstruction-based UAV line inspection image auxiliary acquisition method, which uses the UAV onboard camera to collect images of designated inspection areas, and inputs the collected images to the onboard computer Equipment, in this embodiment, the unmanned aerial vehicle adopts the DJI unmanned aerial vehicle, and the onboard computing device adopts the Miaosuan microcomputer; the images and video data collected by the camera are transmitted to the Miaosuan in real time;

[0050] Miaosuan is equipped with a sharpness evaluation algorithm, a pre-trained resolution reconstruction model and a target detection model;

[0051]Miaosuan first preprocesses the image, and evaluates the sharpness of the input image through the sharpness evaluation algorithm. If the sharpness of the input image does not meet the set threshold, it will be judged as a low-resolution image and input to the RR-CNN ( Re

Embodiment 2

[0093] This embodiment provides a UAV line inspection image auxiliary acquisition system based on resolution reconstruction, including:

[0094] UAVs for image acquisition via on-board cameras;

[0095] A computing device, the computing device is connected to the airborne camera, and the computing device includes a preprocessing unit, a sharpness evaluation unit, a resolution reconstruction unit and a target detection unit;

[0096] The preprocessing unit is used to preprocess the image collected by the airborne camera and then output the value clarity evaluation unit;

[0097] The sharpness evaluation unit is used to evaluate the sharpness of the input image through a sharpness evaluation algorithm, and output the image whose sharpness does not meet the set threshold to the resolution reconstruction unit, and output the image that meets the set threshold to the target detection unit;

[0098] The resolution reconstruction unit uses the resolution reconstruction model based on

Embodiment 3

[0102] This embodiment provides a resolution-based reconstruction-based UAV line patrol image auxiliary acquisition device, including a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the program implement the auxiliary acquisition method as described in any embodiment of the present invention.

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Abstract

The invention relates to an unmanned aerial vehicle line patrol image auxiliary collection method and system based on resolution reconstruction, and the method comprises the steps: carrying out the image collection through an airborne camera of an unmanned aerial vehicle, inputting the collected image into an airborne computing device, and carrying out the following steps: carrying out the preprocessing of the image, and carrying out the collection of the image; evaluating the definition of the input image through a definition evaluation algorithm, and if the definition of the input image does not meet a set threshold value, judging that the input image is a low-definition image and inputting the low-definition image into a resolution reconstruction model; reconstructing the low-definition image through the resolution reconstruction model, and converting the low-definition image into a high-definition image; inputting the input image of which the definition meets a set threshold value and the high-definition image output by the resolution reconstruction model into a target detection model for inspection target detection; the airborne computing device is arranged on the unmanned aerial vehicle, resolution reconstruction and target detection are performed on the acquired image, the inspection target is detected on line, and the image quality is improved.

Description

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Claims

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Application Information

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Owner ZHANGZHOU POWER SUPPLY COMPANY STATE GRID FUJIANELECTRIC POWER
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