A method, apparatus and system for calculating stress parameters is provided. The method comprises establishing a first image pyramid according to an image of a sample before deformation, and establishing a second image pyramid corresponding to the first image pyramid according to an image of the sample after deformation; starting from a top level in the first image pyramid, iteratively calculating displacement information on each level in the first image pyramid relative to a corresponding level in the second image pyramid based on a center point of each sub-region at each level in the first image pyramid and other positions in the sub-region; calculating strain information on the sample according to displacement information on a bottom level of the first image pyramid; and calculating stress parameters of the sample based on the strain information.

System and methods for capturing infrared images for include infrared imaging components configured to capture infrared images of a scene, user input and output components include a display and at least one user input component, and a logic device configured to guide the user through an infrared image acquisition process to acquire an infrared image of an inspection area, and guide the user through an analysis of the captured infrared image to detect a condition visible in the infrared image of the inspection area. The user is guided through environmental and/or location considerations associated with the condition, instructed to prepare the location for infrared image acquisition, and guided through a process for analyzing captured images.

A damage detection system includes one or more emitters, one or more receivers, and a controller. Emitters are arranged to transmit continuous beam or intermittent light pulses toward rotor blades during operation of a turbomachine. Light returns collected at the receivers define a light return amplitude profile. The controller analyzes the light return amplitude profile to identify light amplitude changes indicative of one or more damaged blades. When the light return profile satisfies one or more damage criteria, the controller outputs an indication of blade damage to another turbomachine controller, system, or display.

An identification system has one or more sensing devices each having an identifier, and an individual identification apparatus for performing individual identification of the devices. The devices are each provided with a visual confirmation part that can be visually confirmed from the outside. The individual identification apparatus is provided with an image identification means capable of identifying the visual confirmation parts of the devices as image information. The display content of the visual confirmation parts is read by the image identification means to acquire the identifiers.

Disclosed is a method for measuring movement and/or deformation of a study part subjected to an external stress, the method implementing a color digital image acquisition device and image correlation unit. The method includes: acquisition (250) of a plurality of color digital images of the surface of the study part by way of the color digital image acquisition device during the application of an external stress on the study part, and processing (260) of the color digital images acquired in the step of acquisition of a plurality of color digital images so as to highlight contrasting details on variable scales.

An apparatus, system, and method for an eye-tracking optical verification tester are described herein. In some aspects, a heating element such as a Peltier or Thermoelectric Cooler “TEC” includes a see-through void and may be used to control a temperature of an eye-tracking optical element. An environmental enclosure that is configured to assist in simulation of an environmental condition may hold the eye-tracking optical element. The eye-tracking optical element is to receive reflected light from an eye-tracking target and direct the reflected light to an eye-tracking camera.

The present invention addresses the problem of making it possible to distinguish and detect cracking, peeling, internal cavities, and other defects through the remote observation of a structure. A status determination device according to the present invention is provided with a displacement calculation unit for calculating a two-dimensional spatial distribution of the displacement of a structure surface from time series images of the structure surface before and after load application and an abnormality determination unit for identifying flaws in the structure on the basis of a comparison of the two-dimensional spatial distribution and an already provided spatial distribution of displacement.

Described herein is an apparatus for non-destructive testing that includes a cavity. The apparatus also includes an input element coupled with the cavity and configured to receive a laser beam and to direct the laser beam into the cavity. The apparatus additionally includes multiple output elements formed in the cavity and spaced apart along the cavity. Each output element of the multiple output elements is configured to direct a portion of the laser beam out of the cavity such that each portion of the laser beam directed out of a respective one of the multiple output elements has a substantially similar intensity.

A device for optically monitoring a moving component includes at least one first camera, the image detection region of which can be controlled by a tracking device and which is configured to capture at least one image of at least a part of the moving component, wherein the device further includes at least one second camera, which is configured to capture at least one image of the moving component. The device further includes an open-loop or closed-loop control unit, which receives image data of the second camera and which generates an open-loop or closed-loop control signal and transmits the open-loop or closed-loop control signal to the tracking device.

A device may use a camera to capture an image of an end face of an optical fiber in a field of view of the camera. The device may monitor a focus metric associated with the image while the image is manually focused using an opto-mechanical assembly. The device may automatically initiate a test to inspect the image of the end face of the optical fiber for compliance with a set of criteria related to cleanliness and damage based on the focus metric satisfying a condition. The device may output a result from the test indicating whether the end face of the optical fiber satisfies the set of criteria related to cleanliness and damage.