Artificial Intelligence


Determining Wind Velocity from Images of Raindrops

Authors: Kuhan Muniam

This study develops the method of determining wind velocity from images of raindrops. The motivation of this study was to develop a new method of finding wind velocity. In this new method, digital images or videos of raindrops are processed using computer stereo vision to extract information about the rain inclination. The rain inclination is then used to compute the wind velocity. The rain inclination changes with height (and time) due to acceleration from the force exerted by the wind on the raindrops. A simple experiment was conducted to demonstrate that it is possible to determine rain inclination from digital images. The inclination of falling water was found using two perpendicular two-dimensional digital images. This implies that it is possible to determine rain inclination from digital images. Some equations relating wind velocity and the trajectory of a raindrop are derived using Stokes’ Law. Extensive use of fluid mechanics is required to derive accurate equations. Some hypothetical setups of systems that use this method are described. Wind velocity can also be determined from stereoscopic videos of raindrop trajectory. Disdrometers may be used instead of digital cameras when applying this method. Keywords: rain inclination, raindrop, wind velocity, camera, digital images, stereoscopic vision, computer stereo vision, epipolar geometry, wind force, disdrometer, pinhole camera model, fluid mechanics.

Comments: Pages.

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Submission history

[v1] 2012-08-15 18:44:27
[v2] 2012-09-04 03:12:32

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