Abstract: Embodiments described herein enhance the visualization of certain conditions contained in a video depicting motion in a field of view, in which the enhancements include but are not limited to one or more of: adjusting the appearance of video when objects are at different distances from a video acquisition device; aligning phase of motion obtained from different video acquisition devices; accentuating frequency phenomena that may be masked or obstructed in the presence of other frequencies of motion; differentiating motion data to obtain velocity or acceleration waveforms or spectra; applying a color scheme to pixels in a scene to highlight motion with specific characteristics or to amplify motion or provide indication of absolute motion; and determining spatial or temporal regions in the video to amplify based on the predetermined parameters.

Abstract: Present embodiments pertain to systems, apparatuses, and methods for analyzing and reporting the movements in mechanical structures, machinery, and machine components, including one or more regions of interest in the object of interest, with processing of visual data related to such movements performed by reconstructing video images that have enhanced dynamic visual information related to the motion of the object, wherein examples of one or more enhancements optionally selected by a user may include filtering unwanted frequencies, amplifying the motion, changing the playback speed to decrease, freeze, or increase of the motion, and generating quantitative graphical representations of the motion that could not be achieved without the use of digital photography and image processing algorithms.

Abstract: Present embodiments pertain to systems, apparatuses, and methods for analyzing and reporting rotational or reciprocating movements in mechanical structures, machines, and machine components, including measuring the speed of rotation or reciprocation of a component on the structure, through the use of an acquired video recording representing a plurality of cycles of motion, by measuring intensity values of a subset of pixels contained in a region of interest within the video recording in a plurality of frames of the video recording, thereby determining distance per time period of rotational or reciprocal motion of a machine or machine component, and the application of numerical algorithm to the repeating patterns in the intensity waveform enables the determination of the average speed value or with the use of a gear wheel or graduated tape, instantaneous values for speed can be derived and the torsional vibration characteristics of the component determined.

Abstract: A system for monitoring the movement of objects, structures, models of structures, cables and the like provides for the acquisition of images with an optical sensing device such as a video camera fixedly mounted at a selected distance from the item studied, in which the images are arranged into frames divided into pixels which are characterized by an intensity reflected or emitted over a selected time interval, and a data processing system to calculate a physical displacement as function of time of the item being studied or a portion of the item being studied based on an output from the video camera, and in some embodiments the system visually distinguishes one or more locations in the frame to indicate a difference in the phase of motion for multiple objects appearing in the frame.

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.

Abstract: A source video of a scene showing moving objects which may be located in a region of interest is filtered and processed by constructing a representation such as a frequency spectrum plot of some of the frequencies of motion in the scene or region of interest and enabling a selection of frequency peaks from which to generate reconstructed waveforms at a pixel level according to a time domain fabrication method or alternatively a time domain differentiation fabrication method, then applying the reconstructed waveform at each pixel to a reference frame to produce a modified video recording.

Abstract: A non-contacting system for visualizing and analyzing periodic movements in machinery includes at least one video acquisition device that acquires sampling data as a video comprising a plurality of video image frames and a data analysis system including processor and memory, and a computer program operating in the processor to filter movements depicted in the video to a specific frequency to normalize the phase in a plurality of objects in the video representing parts or components of the machinery, to compare the movements of such objects which in some embodiments provides for construction of a modified video to visually exaggerate the apparent movement of the at least one of the plurality of objects.

Abstract: Systems and methods are provided to evaluate moving objects undergoing periodic motion through the screening of a video recording of such objects in motion for frequency peaks in the spectral data, and to determine spatially where these frequencies occur in the scene depicted in the video recording, wherein a frequency spectrum is created for a subset of pixels or virtual pixels and a composite frequency spectrum table or graph is constructed of frequencies that are selected from among the larger group of frequencies represented by the frequency peaks of the spectral data.

Abstract: A system for monitoring the movement of objects, structures, models of structures, cables and the like provides for the acquisition of images with an optical sensing device such as a video camera fixedly mounted at a selected distance from the item studied, in which the images are arranged into frames divided into pixels which are characterized by an intensity reflected or emitted over a selected time interval, and a data processing system to calculate a physical displacement as function of time of the item being studied or a portion of the item being studied based on an output from the video camera, and in some embodiments the system visually distinguishes one or more locations in the frame to indicate a difference in the phase of motion for multiple objects appearing in the frame.

Abstract: The complex motion associated with machines is a result of the superposition of various frequencies from the multiple component or elements inherent to the design of the machine. These motions can be captured remotely using position sensitive detectors which respond to specific wavelengths in the electromagnetic spectrum. Present embodiments include but are not limited to a video camera which is able to capture and record video data of an entire machine without contacting the machine, to visually study complex motions which vary both in time and spatially at different locations on the machine, wherein filters applied to the motion present in the video recording are used to identify frequencies of importance and to visualize their impact on the operation of the machine.

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.

Abstract: Embodiments disclosed herein include, but are not limited to, methods for capturing video sampling data comprising a plurality of video images of a moving object, for example using one or more cameras positioned on a stationary frame of reference adjacent to the mechanical component under investigation, in which an external trigger is used for image acquisition (in some embodiments, one image per revolution or cycle) similar in result to an internal clock or timed pulse can act as a command over a camera to obtain visual data from which the movement of the component or object can be acquired and studied, and further producing video of motion from a series of images to detect, amplify, or enlarge an appearance of motion present as a result of components not coming back to their original locations.

Abstract: A system for monitoring vital signs includes: an imaging device for acquiring video image files of a living individual; a data analysis system including a processor and memory; a computer program running in the data analysis system to automatically analyze the video images, autonomously identify an area in the images where periodic movements associated with a selected vital sign may be detected and quantified; and, an interface that outputs an electrical signal corresponding to the waveform of the selected vital sign. The system may include a Graphical User Interface, which may display a visual graph of the waveform and a single video frame or a video stream of the individual.

Abstract: The complex motion associated with machines is a result of the superposition of various frequencies from the multiple component or elements inherent to the design of the machine. These motions can be captured remotely using position sensitive detectors which respond to specific wavelengths in the electromagnetic spectrum. Present embodiments include but are not limited to a video camera which is able to capture and record video data of an entire machine without contacting the machine, to visually study complex motions which vary both in time and spatially at different locations on the machine, wherein filters applied to the motion present in the video recording are used to identify frequencies of importance and to visualize their impact on the operation of the machine.

Abstract: A system for monitoring the movement of objects, structures, models of structures, cables and the like provides for the acquisition of images with an optical sensing device such as a video camera fixedly mounted at a selected distance from the item studied, in which the images are arranged into frames divided into pixels which are characterized by an intensity reflected or emitted over a selected time interval, and a data processing system to calculate a physical displacement as function of time of the item being studied or a portion of the item being studied based on an output from the video camera, and in some embodiments the system visually distinguishes one or more locations in the frame to indicate a difference in the phase of motion for multiple objects appearing in the frame.

Abstract: Current embodiments provided herein include methods for visualizing repetitive movements which use video image files acquired with an appropriate frame rate, which is based on the period of repetition and minimal exposure, to reorganize the presentation of the frames to freeze the motion of the object in motion at any point in the cycle of repetition or to display the isolated frequency of repetition or a video of the amplified motion to enable the detailed visual inspection of an object in motion, and without having to stop the motion.

Abstract: A system for monitoring the movement of objects, structures, models of structures, cables and the like provides for the acquisition of images with an optical sensing device such as a video camera fixedly mounted at a selected distance from the item studied, in which the images are arranged into frames divided into pixels which are characterized by an intensity reflected or emitted over a selected time interval, and a data processing system to calculate a physical displacement as function of time of the item being studied or a portion of the item being studied based on an output from the video camera, and in some embodiments the system visually distinguishes one or more locations in the frame to indicate a difference in the phase of motion for multiple objects appearing in the frame.

Abstract: An apparatus for visualizing physical movements includes: a device for acquiring video image files; a data analysis system including processor and memory; a computer program operating in the processor to identify an area in the images where periodic motions associated with physical movement of an object may be detected and quantified, and compute a new image sequence in which the motions are visually amplified; and, a user interface that displays the motion-amplified video image of the mechanical component. An associated method for using the apparatus is also disclosed.

Abstract: A system for monitoring the movement of objects, structures, models of structures, cables and the like provides for the acquisition of images with an optical sensing device such as a video camera fixedly mounted at a selected distance from the item studied, in which the images are arranged into frames divided into pixels which are characterized by an intensity reflected or emitted over a selected time interval, and a data processing system to calculate a physical displacement as function of time of the item being studied or a portion of the item being studied based on an output from the video camera, and in some embodiments the system visually distinguishes one or more locations in the frame to indicate a difference in the phase of motion for multiple objects appearing in the frame.

Abstract: The complex motion associated with machines is a result of the superposition of various frequencies from the multiple component or elements inherent to the design of the machine. These motions can be captured remotely using position sensitive detectors which respond to specific wavelengths in the electromagnetic spectrum. Present embodiments include but are not limited to a video camera which is able to capture and record video data of an entire machine without contacting the machine, to visually study complex motions which vary both in time and spatially at different locations on the machine, wherein filters applied to the motion present in the video recording are used to identify frequencies of importance and to visualize their impact on the operation of the machine.