G01B17/00

Methods and systems for training and safety for firearm use
11680774 · 2023-06-20 ·

An apparatus, device, or method may detect or track aim direction or motion of a firearm and display information indicative of such aim direction or motion. Sequence of bullet strikes on a real or virtual target by multiple gunshots may be determined. A method may comprise detecting one or more gunshots of the firearm discharging live ammunition, measuring or determining aim directions or motions of the firearm before, during, and/or after the one or more gunshots, recording these measurements or determinations, and generating output for displaying images on a display.

Methods and systems for training and safety for firearm use
11680774 · 2023-06-20 ·

An apparatus, device, or method may detect or track aim direction or motion of a firearm and display information indicative of such aim direction or motion. Sequence of bullet strikes on a real or virtual target by multiple gunshots may be determined. A method may comprise detecting one or more gunshots of the firearm discharging live ammunition, measuring or determining aim directions or motions of the firearm before, during, and/or after the one or more gunshots, recording these measurements or determinations, and generating output for displaying images on a display.

DEFECT DETECTION METHOD AND DEFECT DETECTION APPARATUS
20170350690 · 2017-12-07 · ·

A defect detection apparatus is provided that can inspect a measurement region of a target object at one time and without inconsistencies arising within the measurement region. A defect detection apparatus 10 includes: a generation unit (signal generator 11 and vibrator 12) for generating an elastic wave in a target object S; an illumination unit (pulsed laser light source 13 and illumination light lens 14) for performing stroboscopic illumination onto a measurement region of a surface of the target object S; and a displacement measurement unit (speckle shearing interferometer 15) for collectively measuring displacements in a normal direction at each point of the measurement region with respect to at least three mutually-different phases of the elastic wave by controlling a phase of the elastic wave and a timing of the stroboscopic illumination. Defects in the measurement region are detected based on the displacements in the normal direction at each point of the measurement region with respect to at least three phases that are obtained by the displacement measurement unit.

METHOD FOR THE NON-DESTRUCTIVE TESTING OF THE VOLUME OF A TEST OBJECT AND TESTING DEVICE CONFIGURED FOR CARRYING OUT SUCH A METHOD
20170330314 · 2017-11-16 ·

A method for the non-destructive testing of the volume of a test object, during the course of which a volume raw image of the test object is recorded by a suitable non-destructive imaging testing method. Then, those regions of the volume raw image are identified that are not to be attributed to the test object material. It is checked whether an identified region is completely embedded in regions that are to be associated with the test object material. If necessary, such a region is assimilated to those regions that are to be associated with the test object material, forming a filled volume raw image. Finally, a difference is generated between the volume raw image and the filled volume raw image, forming a first flaw image.

METHOD FOR THE NON-DESTRUCTIVE TESTING OF THE VOLUME OF A TEST OBJECT AND TESTING DEVICE CONFIGURED FOR CARRYING OUT SUCH A METHOD
20170330314 · 2017-11-16 ·

A method for the non-destructive testing of the volume of a test object, during the course of which a volume raw image of the test object is recorded by a suitable non-destructive imaging testing method. Then, those regions of the volume raw image are identified that are not to be attributed to the test object material. It is checked whether an identified region is completely embedded in regions that are to be associated with the test object material. If necessary, such a region is assimilated to those regions that are to be associated with the test object material, forming a filled volume raw image. Finally, a difference is generated between the volume raw image and the filled volume raw image, forming a first flaw image.

NON-DESTRUCTIVE DETECTION METHOD AND DEVICE OF EFFECTIVE ANCHORAGE DEPTH OF FULL-LENGTH BONDING ANCHOR

The present invention relates to a method and an apparatus for non-destructive testing of an effective anchorage depth of a fully grouted anchor bolt, which are applicable in geotechnical engineering. The method provided by the invention is for non-destructive testing of an effective anchorage depth of a fully grouted anchor bolt; the method is convenient to operate, non-destructive to an anchor bolt, and capable of testing an anchorage length of the anchor bolt. The present invention further provides an apparatus for non-destructive testing of an effective anchorage depth of a fully grouted anchor bolt. The apparatus has a simple structure, is convenient to install, and is capable of measuring an anchorage length of an anchor bolt without damaging the anchor bolt.

Measurement device and measurement method
11493335 · 2022-11-08 · ·

A measurement device and a measurement method capable of measuring a depth of a damage source in a structure having a thickness of a predetermined value or more. According to an embodiment, a measurement device includes a first detector and a signal processing device. The first detector selectively detects surface waves that are excited when first elastic waves generated inside a structure formed of a solid material have reached a surface of the structure. The information processing device obtains information about a depth of a source of the first elastic waves within the structure on the basis of information of at least one of an amplitude and a time of arrival of the surface waves detected by the first detector.

Measurement device and measurement method
11493335 · 2022-11-08 · ·

A measurement device and a measurement method capable of measuring a depth of a damage source in a structure having a thickness of a predetermined value or more. According to an embodiment, a measurement device includes a first detector and a signal processing device. The first detector selectively detects surface waves that are excited when first elastic waves generated inside a structure formed of a solid material have reached a surface of the structure. The information processing device obtains information about a depth of a source of the first elastic waves within the structure on the basis of information of at least one of an amplitude and a time of arrival of the surface waves detected by the first detector.

Food Waste Detection Method and System
20220058388 · 2022-02-24 ·

A system (1) for detecting food related products (2) before thrown away, the system comprising: one or more cameras (11); a display unit (12); a computing device (13) that is communicatively connected to the cameras and the display; and a scale (3) that is communicatively connected to the computing device, the scale holding a trash bin (31), wherein the cameras obtain an image or a video of the products when the products are within a field of view of the cameras and before the products are in the trash bin, the scale configured to weigh the products in the trash bin, and wherein the computing device obtains information about the products from the obtained image or video by applying an image recognition algorithm, receives the weight from the scale and generates and outputs data on the display unit, the data being based on the information about products and the weight.

Food Waste Detection Method and System
20220058388 · 2022-02-24 ·

A system (1) for detecting food related products (2) before thrown away, the system comprising: one or more cameras (11); a display unit (12); a computing device (13) that is communicatively connected to the cameras and the display; and a scale (3) that is communicatively connected to the computing device, the scale holding a trash bin (31), wherein the cameras obtain an image or a video of the products when the products are within a field of view of the cameras and before the products are in the trash bin, the scale configured to weigh the products in the trash bin, and wherein the computing device obtains information about the products from the obtained image or video by applying an image recognition algorithm, receives the weight from the scale and generates and outputs data on the display unit, the data being based on the information about products and the weight.