A defect detection method and apparatus detecting a defect in an object. The method comprises: obtaining ultrasound scan data derived from an ultrasound scan of the object under consideration, the ultrasound scan data being in the form of a set of echo amplitude values representing the amplitude of echoes received from the object during ultrasound scanning at certain spatial and temporal points; processing the ultrasound scan data to remove echo amplitude values received after a predetermined threshold time; generating at least one image from the processed ultrasound scan data; subjecting each generated image to an automated defect recognition process to determine whether there is a defect in the portion of the object represented by the image; issuing a notification indicating whether or not a defect has been found; and, if a defect has been found, storing the result of the automated defect recognition process in a defect database.

In an ultrasonic testing method and an ultrasonic testing device that ultrasonically examine a flaw of a subject, a scanning range specified for the subject is scanned while flaw testing is performed by an array probe, and it is determined that a flaw is present at a point where a groove signal DG is present and a bottom echo signal BE is not obtained.

Systems and methods are disclosed for conducting an ultrasonic-based inspection. The systems and methods perform operations comprising: receiving, by one or more processors, data indicative of a detected tag on a specimen, the tag associated with one or more ultrasonic-based inspections that were previously performed on the specimen; retrieving, by the one or more processors, based on the detected tag, configuration data for a non-destructive testing (NDT) instrument, the configuration data being associated with the one or more ultrasonic-based inspections that were previously performed on the specimen; generating, by the one or more processors, new configuration data for the NDT instrument to perform a new inspection of the specimen at least in part using the received configuration data; and performing the new inspection of the specimen based on spatially positioning the NDT instrument relative to a position of the tag on the specimen.

To provide a buried-pipe damage location detection device that detecting damage location of buried-pipe buried in the ground etc., having a few manual operation buttons, and having a universal design that can be used by both right-handed and left handed inspector.

Methods for processing data acquired using ultrasound elastography, in which shear waves are generated in a subject using continuous vibration of the ultrasound transducer, are described. The described methods can effectively separate shear wave signals from signals corresponding to residual motion artifacts associated with vibration of the ultrasound transducer. The systems and methods described here also provide for real-time visualization of shear waves propagating in the subject.

The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system includes a graphical user interface (GUI) capable of showing a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. The GUI is capable of displaying the 3-D image as each additional 2-D cross section is scanned by an ultrasonic testing apparatus in real time or near real time, including probable defect regions that contain a flaw such as a hole, crack, wrinkle, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting defect areas within the 3-D image in real time or near real time and providing data regarding each defect area, such as the depth, size, and/or type of each defect.

Described herein is a system for determining structural characteristics of an object, the system including a first laser, a second laser, one or more processors, and a computer readable medium storing instructions that, when executed by the one or more processors, cause the system to perform functions. The functions include illuminating, by the first laser, a surface region of an object with an incident light pulse, thereby causing the object to exhibit vibrations; illuminating, by the second laser, the surface region with an incident light beam, thereby generating responsive light that is indicative of the vibrations; detecting the responsive light and determining a difference between a characteristic of the responsive light and a reference characteristic that corresponds to the surface region; determining a position of the surface region within a three-dimensional space; and displaying the surface region such that the difference is indicated at the position of the surface region.

The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system includes a graphical user interface (GUI) capable of showing a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. The GUI is capable of displaying the 3-D image as each additional 2-D cross section is scanned by an ultrasonic testing apparatus in real time or near real time, including probable defect regions that contain a flaw such as a hole, crack, wrinkle, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting defect areas within the 3-D image in real time or near real time and providing data regarding each defect area, such as the depth, size, and/or type of each defect.

The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system includes a graphical user interface (GUI) capable of showing a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. The GUI is capable of displaying the 3-D image as each additional 2-D cross section is scanned by an ultrasonic testing apparatus in real time or near real time, including probable defect regions that contain a flaw such as a hole, crack, wrinkle, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting defect areas within the 3-D image in real time or near real time and providing data regarding each defect area, such as the depth, size, and/or type of each defect.

A system and methods of nondestructive testing are described. The system includes an immersion ultrasonic probe and a laser vibrometer. The immersion ultrasonic probe and a sample are immersed in a fluid contained in an immersion tank and the laser vibrometer is disposed outside of the immersion tank. A tightly focused ultrasonic beam from the immersion ultrasonic probe and a laser beam from the laser vibrometer are both transmitted upon a sample, the laser beam being transmitted through the wall of the immersion tank. Since the ultrasonic beam is tightly focused and the laser beam samples only a small area impinged by the ultrasonic beam, microscopic resolution is obtained.