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A mobile communication maintenance object detection method based on artificial intelligence and UAV

A technology of mobile communication and artificial intelligence, applied in neural learning methods, computer components, character and pattern recognition, etc., can solve the problems of personal danger of patrol personnel

Active Publication Date: 2021-08-17
长讯通信服务有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The maintenance of mobile communication equipment requires periodic inspection and maintenance, which is traditionally solved by manual periodic inspection, which consumes a lot of manpower and material resources, especially for some mobile communication equipment set up in barren mountains and fields, it may also cause personal danger to the inspectors

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  • A mobile communication maintenance object detection method based on artificial intelligence and UAV
  • A mobile communication maintenance object detection method based on artificial intelligence and UAV
  • A mobile communication maintenance object detection method based on artificial intelligence and UAV

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Embodiment Construction

[0016] The present invention will be further described in detail below in conjunction with the embodiments and accompanying drawings.

[0017] The present invention is a mobile communication maintenance object detection method based on artificial intelligence and unmanned aerial vehicles, such as figure 1 As shown, the method includes the following steps:

[0018] Step 10 sample collection, collect the overall image of various mobile communication maintenance objects; set the angle between the optical axis of the camera and the horizontal plane as θ h , the collected image should rotate around the vertical midline of the object and cover the looking-up range θ h ∈(0,θ tu ](Such as figure 2 As shown, the range is (0,0], (0,15], (0,30], (-30,0], (-30,15], (0,30], (-60,0], (-60,15], (60,30], etc.), overlook range θ h ∈(0,θ td ] (Such as image 3 , ranges such as (0,-15], (0,-30], (0,-45], (0,-60], (-30,-15], (-30,-30], (-30 ,-45], (-30,-60], (-60,-15], (-60,-30], (-60,-4...

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Abstract

The present invention provides a method for detecting mobile communication maintenance objects based on artificial intelligence and unmanned aerial vehicles. The method includes: collecting overall images of various mobile communication maintenance objects; setting the angle between the optical axis of the camera and the horizontal plane as θ h , the collected image should rotate around the vertical midline of the object and cover the looking-up range θ h ∈(0,θ tu ], overlook range θ h ∈(0,θ td ], Head-up θ h = 0; mark the range and type of the object in all training images, and calculate the physical parameters such as the length and height of the actual object; input all the marked images into Faster-RCNN through the predicted value of the response image and Respond to the cross-entropy between images; the area prediction value and the real value cross-entropy are trained as a loss function; the detection image is input into the trained convolutional neural network, and the network will output the range of detection objects. The detection object type detection object physical parameters

Description

technical field [0001] The invention relates to mobile communication maintenance object detection, in particular to an artificial intelligence and unmanned aerial vehicle mobile communication maintenance object detection method. Background technique [0002] The maintenance of mobile communication equipment requires periodic inspection and maintenance. Traditionally, it is solved by manual periodic inspection, which consumes a lot of manpower and material resources, especially for some mobile communication equipment installed in barren mountains and fields, which may cause personal danger to the inspection personnel. [0003] UAVs make remote inspections possible. If combined with artificial intelligence, it can also realize the automation and intelligence of inspections. The present invention can effectively detect various mobile communication maintenance objects based on deep learning, and output the types, positions and specifications of the maintenance objects in the ima...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08G06Q10/00
CPCG06N3/08G06Q10/20G06V20/10G06N3/045
Inventor 郭立强黄志军马启亮朱文宇
Owner 长讯通信服务有限公司