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Flow velocity measurement method based on computer vision

A computer vision and measurement method technology, applied in fluid velocity measurement, calculation, velocity/acceleration/shock measurement, etc., can solve the problems of high hardware resource requirements and large amount of calculation, and achieve the reduction of calculation amount and low hardware resource requirements. , The calibration method is simple and controllable

Active Publication Date: 2021-05-28
慧目(重庆)科技有限公司
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AI Technical Summary

Problems solved by technology

[0003] At present, when computer vision is used to measure water flow velocity, existing methods often have the disadvantages of high hardware resource requirements and large computational loads.

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  • Flow velocity measurement method based on computer vision
  • Flow velocity measurement method based on computer vision
  • Flow velocity measurement method based on computer vision

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Embodiment Construction

[0064]The present invention will be further described in detail below in conjunction with a computer vision-based river channel monitoring method using the method of the present invention.

[0065] During concrete implementation: a kind of river course monitoring method based on computer vision, comprises the flow rate measurement method based on computer vision, comprises the steps:

[0066] 1. Selection of flow measuring section

[0067] Referring to the "GB 50179-2015 River Flow Test Specification", the test river section should be selected in the upper reaches of the river where cross-section control is easy to be formed, such as stone beams, rapids, bends, bayonets, and artificial weirs and dams. Among them, the upper reaches of Shiliang, Rapids, Wandao, and bayonets should be separated from the section control distance by 5 times of the river width, and the section control distance of mountain stream rivers can be extended to 3 times of the river width; or selected in th...

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Abstract

The invention discloses a flow velocity measurement method based on computer vision, and the method comprises the following steps: selecting a flow measurement section on a river channel to be subjected to velocity measurement, fixedly erecting a camera, and adjusting the angle of the camera, so that the selected velocity measurement section completely enters the visual field of the camera; arranging a calibration plate on the water surface within the visual field range of the camera, calibrating pixel coordinates of the camera and physical coordinates of the water flow plane, and fixing the shooting angle and the focal length of the camera; and acquiring an image of a flow measurement section through a camera, calculating a displacement vector of a key point based on a pixel coordinate according to key point change on two continuous frames of images, obtaining a displacement vector of the key point based on the physical coordinate through conversion of the calibration relation between the pixel coordinate and the physical coordinate in the step S2, and calculating the flow velocity of the key point in combination with the frame rate of the camera. The method has the advantages that the calibration method is simple and controllable, the calculation amount can be reduced, and the requirement for hardware resources is low.

Description

technical field [0001] The invention relates to the technical field of flow velocity measurement, in particular to a flow velocity measurement method based on computer vision. Background technique [0002] After years of development and accumulation, artificial intelligence (AI) technology has been widely used in all walks of life, especially in 2016 after the AlphaGo artificial intelligence developed by Google defeated the world champion Lee Sedol 4:1, AI technology once again attracted the attention of the world , has shined in various application scenarios in recent years. As an important part of artificial intelligence, computer vision (Computer Vision) technology and deep learning (Deep learning) methods have made great progress. Face recognition, industrial detection, video structuring, pedestrian detection, behavior analysis, etc. have been continuously integrated and used in various fields, such as smart security, smart communities, smart construction sites, smart c...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/80G06F17/16G01P5/26
CPCG06T7/80G06F17/16G01P5/26
Inventor 甘小皓钟璞星
Owner 慧目(重庆)科技有限公司