YOLO V5-based unmanned aerial vehicle aerial image river sewage draining exit detection method and system

A detection method and sewage outlet technology, which are applied in neural learning methods, computer parts, instruments, etc., can solve the problems of missed detection, false detection, increase the workload of on-site staff to check, and interfere with the information, etc., and improve the accuracy. , easy to expand and apply, improve the effect of detection accuracy

Pending Publication Date: 2021-01-29
山东捷讯通信技术有限公司
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, compared with ordinary images, UAV aerial images have a resolution as high as 7952×5304, and the comparison between sewage outlets and the whole image accounts for less than 0.01%, and there are many types and forms of sewage outlets, and the semantic information of the background is very rich , more interference information
Human judgment d

Method used

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  • YOLO V5-based unmanned aerial vehicle aerial image river sewage draining exit detection method and system
  • YOLO V5-based unmanned aerial vehicle aerial image river sewage draining exit detection method and system
  • YOLO V5-based unmanned aerial vehicle aerial image river sewage draining exit detection method and system

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Embodiment 1

[0045] This embodiment discloses a method for detecting river sewage outfalls based on YOLO V5 aerial images of drones, and the technical steps adopted are as follows:

[0046] Step 1: Use drones to take aerial photos of rivers, and use experts to filter images that contain sewage outfalls or suspected sewage outfalls in the images, and establish a UAV aerial image dataset of river sewage outfalls.

[0047] Step 2: Preprocess the established data set, including segmenting high-resolution images. Experts label the segmented images for sewage outlets, crop the labeled images again, and establish training sets and tests for the model. set.

[0048] Step 21: In the present invention, the river sewage outlet image captured by the drone is a high-resolution image. In order to facilitate experts to mark the image with a rectangular frame and improve the training efficiency of the model, the high-resolution image is processed in blocks . Assuming that the size of the high-resolution...

Embodiment 2

[0081]The purpose of this embodiment is to provide a computing device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. step.

Embodiment 3

[0083] The purpose of this embodiment is to provide a computer-readable storage medium.

[0084] A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the specific steps in the first embodiment above are executed.

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Abstract

The invention provides a YOLO V5-based unmanned aerial vehicle aerial image river sewage draining exit detection method and system. The method comprises the steps of establishing an unmanned aerial vehicle aerial image river sewage draining exit image data set; preprocessing the established data set, and establishing a training set and a test set; and building a YOLO V5 model, testing the performance of the trained YOLO V5 model by using the test set, and then using the model for unmanned aerial vehicle aerial sewage draining exit image identification. The problem that in a traditional targetdetection method, the detection precision of small targets such as a sewage draining exit of an aerial image of an unmanned aerial vehicle is low is solved. The invention assists in manually detectingthe river sewage draining exit of the aerial image, and improves the detection precision of the sewage draining exit.

Description

technical field [0001] The present disclosure belongs to the field of target detection of drone aerial images, and in particular relates to a method and system for detecting river sewage outlets of drone aerial images based on YOLO V5. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Domestic sewage treatment plants, industrial wastewater treatment plants and mixed waste water treatment plants are an important part of modern sewage outlets. Among them, domestic sewage and industrial wastewater are important causes of river pollution. The number of sewage outlets entering the river is large, widely distributed, changing rapidly, and highly concealed. It is difficult to use traditional methods to check sewage outlets, with high costs, many omissions, and long cycles. UAVs are low in construction and use costs, strong in mobility, easy to t...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/52G06V10/267G06N3/045G06F18/23213
Inventor 谷永辉刘昌军
Owner 山东捷讯通信技术有限公司
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