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Classification method and device for photos captured by unmanned aerial vehicle and storage medium

A classification method and unmanned aerial vehicle technology, applied in the direction of still image data clustering/classification, still image data retrieval, special data processing applications, etc., can solve the problems of classification errors, unfavorable promotion, high cost, etc., and achieve high-efficiency classification, The effect of saving manpower and material resources

Pending Publication Date: 2020-07-10
MEIZHOU POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, after the UAV takes a large number of photos at the inspection site, grassroots employees often need to spend a lot of time to classify these photos according to the route and pole number. The workload is heavy and there is a possibility of classification errors, low efficiency and large errors.
Recently, the UAV power cruise system has been used to classify a large number of photos taken by UAVs. In addition to the complexity and high cost of the system, the method of this system can only take pictures of known towers and quickly archive the photos to known In the tower folder, it is difficult to adapt to the inspection of overhead lines in the distribution network with complex environments, which is not conducive to widespread promotion

Method used

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  • Classification method and device for photos captured by unmanned aerial vehicle and storage medium
  • Classification method and device for photos captured by unmanned aerial vehicle and storage medium
  • Classification method and device for photos captured by unmanned aerial vehicle and storage medium

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Experimental program
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Embodiment 1

[0039] figure 1 A flow chart of a method for classifying photos taken by drones provided in Embodiment 1 of the present invention, as shown in figure 1 As shown, the classification method of the photos taken by the UAV includes:

[0040] S100, establishing a standard coordinate database of the tower, where the standard coordinate database includes coordinates of the tower.

[0041] Specifically, coordinates are established for each tower arranged in the target power line. The coordinates of the tower may include the latitude and longitude coordinates of the tower. After the coordinates of each tower are established, they are stored in the standard coordinate database to form the standard coordinate database of the tower. . For example, in a target power line in an urban area, the longitude and latitude coordinates of tower 1 to tower 3 are collected respectively by means of taking pictures by drone or by manual on-site measurement, and the collected data are stored in the st...

Embodiment 2

[0050] This embodiment is a further refinement of the above embodiment. Optionally, the associated information of the tower includes the name of the tower; if the coordinates of the photographed object are within the preset radius range of the coordinates of the tower, the photos of the photographed object are classified To the folder named after the associated information of the tower, including: if the coordinates of the photographed object are within the preset radius range of the coordinates of the tower, then classify the photos of the photographed object into the folder named with the name of the tower.

[0051] figure 2 A flow chart of a method for classifying photos taken by drones provided in Embodiment 2 of the present invention, such as figure 2 As shown, the classification method of the photos taken by the UAV includes:

[0052] S200, establishing a standard coordinate database of the tower, where the standard coordinate database includes the coordinates of the ...

Embodiment 3

[0058] This embodiment is a further refinement of the above embodiment. Optionally, if the coordinates of the photographed object are within the preset radius range of the coordinates of the tower, the photos of the photographed object are classified into files named after the associated information of the tower folder, including: if the coordinates of the photographed object are within a preset radius range of the coordinates of at least two pole towers, then classify the photographs of the photographed object into folders compoundly named after the names of at least two pole towers.

[0059] image 3 A flow chart of a method for classifying photos taken by a drone provided in Embodiment 3 of the present invention, as shown in image 3 As shown, the classification method of the photos taken by the UAV includes:

[0060] S300. Establish a standard coordinate database of the tower, where the standard coordinate database includes the coordinates of the tower.

[0061] S310. Ob...

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Abstract

The embodiment of the invention discloses a classification method and device for photos captured by an unmanned aerial vehicle and a storage medium. The method comprises the steps: establishing a standard coordinate database of a tower, wherein the standard coordinate database comprises coordinates of the tower; obtaining coordinates of a photographed object in the picture photographed by the unmanned aerial vehicle, and determining whether the coordinates of the photographed object are within a preset radius range of the coordinates of the tower. Through the technical scheme of the embodimentof the invention, high-efficiency classification of photos captured by the unmanned aerial vehicle in electric cruise is realized, and manpower and material resources are saved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of electric cruising, and in particular to a method, device and storage medium for classifying photos taken by drones. Background technique [0002] At present, unmanned aerial vehicles are widely used in the inspection of overhead transmission and distribution lines in electric power cruise, which can quickly find potential safety hazards in lines, insulators, etc., and guide safe production. [0003] However, after drones take a large number of photos at the inspection site, grassroots employees often need to spend a lot of time to classify these photos by route and pole number. The workload is heavy and there is a possibility of classification errors, low efficiency and large errors. Recently, the UAV power cruise system has been used to classify a large number of photos taken by UAVs. In addition to the complexity and high cost of the system, the method of this system can only take ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/55G06F16/587
CPCG06F16/55G06F16/587
Inventor 蔡科明
Owner MEIZHOU POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CORP