US 11,538,173 B1Granted

Detection of aliased peak frequencies in video recording

AssigneeRdi Technologies, Inc.

InventorsKenneth Ralph Piety, Jeffrey R. Hay, Mark William Slemp

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Abstract

Present embodiments pertain to systems, apparatuses, and methods for analyzing and reporting the movements in mechanical structures, inanimate physical structures, machinery, and machine components, including automatically detecting aliased frequencies of a component on the structure which exhibits frequencies higher than the maximum frequency of the FFT spectrum calculated from the acquired data. To automatically detect the presence of aliased frequencies, a second virtually identical recording is acquired using a slightly different sampling rate and this provides the basis for detecting frequencies which are greater than the Nyquist sampling rate of the video recording and calculating the true frequency value of the aliased peaks in the frequency spectrum.

Claims5

Dependent claims

A method for detecting and displaying aliased peak frequencies in a video recording acquired of an object in motion, comprising:

acquiring and storing a set of images depicting a structure, machine, or machine component in a field of view, wherein the set of images comprises a plurality of video frames comprising individual pixels organized spatially as an X-Y grid;
generating a waveform of motion of the structure, machine, or machine component in a region of interest (ROI) on at least one of the plurality of video frames;
transforming the waveform into a frequency spectrum for the ROI;
configuring a graphical user interface to allow a user to select one or more peaks in the frequency spectrum representing aliased frequencies, and upon selection of the one or more peaks displaying a list viewable to the user and containing a plurality of choices of calculated true frequencies;
configuring the graphical user interface to allow the user to select one of the choices on the list as a true location on the frequency spectrum;
and
generating a reconstructed frequency spectrum presenting the user-selected choice of the calculated true frequency in a true frequency location.

4 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/749,620Filed 20 May 2022 · continuation
Priority: 19 Dec 2019
Granted: 27 Dec 2022
Term ends: Not estimatedThe source records don’t support an estimate.

Classification10 codes

G06T 7/248
Using feature-based methods, e.g. the tracking of corners or segments: involving reference images or patches
G06T 7/262
Analysis of motion: using transform domain methods, e.g. Fourier domain methods
G06T 7/0004
Inspection of images, e.g. flaw detection: industrial image inspection
G06T 7/001
Industrial image inspection: using an image reference approach

Family

Application62/950,348Us provisional application · filed 19 Dec 2019
Application17/126,963Parent of this continuation · filed 18 Dec 2020
Application17/409,214Parent of this continuation · filed 23 Aug 2021
US 11,100,654 B1Parent of this continuation · filed 24 Aug 2021
US 11,341,658 B1Parent of this continuation
US 11,538,173 B1This patent

From the US filing history. Foreign family members aren’t listed.