Disclosed embodiments relate to systems and methods for locating, measuring, counting or aiding in the handling of drill pipes 106. The system 100 comprises at least one camera 102 capable of gathering visual data 150 regarding detecting, localizing or both, pipes 106, roughnecks 116, elevators 118 and combinations thereof. The system 100 further comprises a processor 110 and a logging system 114 for recording the gathered visual data 150. The method 200 comprises acquiring visual data 150 using a camera 106, analyzing the acquired data 150, and recording the acquired data 150.

A method includes generating a set of sub-images of a subsurface formation based on measurement values acquired by a plurality of sensors corresponding to one or more signals that have propagated through the subsurface formation, wherein each of the set of sub-images correspond to one of the plurality of sensors. The plurality of sensors are on a tool in a borehole, wherein each of the plurality of sensors are at different spatial positions with respect to each other. The method also includes generating a combined image by aligning the set of sub-images based on the measurement values, wherein the aligning of the set of sub-images is independent of acceleration of the tool during tool motion.

A method of determining the position of an object in a scene, comprising: receiving captured images of the scene, each image being captured from a different field of view of the scene, wherein a portion of the scene with a volume comprises a detectable object, the volume is divided into volume portions, and each volume portion is within the captured field of view of at least two of the captured images so that an image of each volume portion appears in the at least two of the captured images; detecting, for each volume portion in each of the captured images within which an image of that volume portion appears, whether or not an image of one of the detectable objects in the scene is positioned within a distance of the position of the image of that volume portion, a correspondence between the images of the detectable objects detected in the at least two of the images is established, the correspondence indicating that the images of the detectable objects detected in the at least two of the images correspond to a single detectable object in the scene, and the position in the scene of that volume portion is established as a position in the scene of the single detectable object.

A machine vision system for automatically identifying and inspecting objects is disclosed, including composable vision-based recognition modules and a decision algorithm to perform the final determination on object type and quality. This vision system has been used to develop a Projectile Identification System and an Automated Tactical Ammunition Classification System. The technology can be used to create numerous other inspection and automated identification systems.

A first surface of a first sheet has a second image formed in advance. An image forming system generates reference data based on a result of reading an image on the first surface of the first sheet on which a first image is not formed, generates first image data that represents a result of reading an image on the first surface of the first sheet having the first image formed on the first surface, and determines, based on the reference data and the first image data, a relative position between the first image and the second image on the first surface of the first sheet.

The disclosure provides a surface inspection apparatus for inspecting a surface of an object, a non-transitory computer readable medium thereof, and a surface inspection method thereof. According to an aspect of the disclosure, the surface inspection apparatus includes an imaging device configured to image a surface of an object to be inspected, and a processor configured to calculate a numerical value representing a quality of the surface by processing an image captured by the imaging device, and display, on a display device, the image including an index for specifying a position of a portion that has contributed to the calculation of the numerical value and the numerical value.

An electronic device for setting a processing procedure for controlling an apparatus, the electronic device comprising: at least one processor configured to cause the electronic device to perform operations of: obtaining a captured image; determining a type of an object included in the captured image; notifying an item indicating target processing corresponding to the object included in the captured image, among a plurality of analysis processing; notifying a result obtained by applying the target processing to the captured image; and receiving a user instruction for adding the processing corresponding to the item to a processing procedure for controlling the apparatus.

The present invention is in the field of methods for determining material properties from foam samples. It relates to a computer-implemented method for determining a material property of a foam sample comprising (a) providing a representation of the sample, (b) extracting at least one structural feature from the representation, wherein the at least one structural feature comprises walls, struts, or nodes (c) providing the at least one structural feature to a material model suitable for obtaining at least one material property from the structural feature, and (d) outputting the at least one material property received from the material model.

A visual positioning system, comprising a first visual sensor (501), a second visual sensor (502), and a position obtaining unit (503), wherein the first visual sensor (501) is used for obtaining a first image (G11) of a first position (A) of a target apparatus (7), a second visual sensor (502) is used for obtaining a second image of a second position (B) of the target apparatus (7), and the position obtaining unit (503) is used for obtaining position information of the target apparatus (7) according to the first image (G11) and the second image. Further disclosed are a battery swapping device and a battery swapping control method. Relatively high positioning accuracy is obtained in a visual manner, and accurate positioning between the battery swapping device and a vehicle for battery swap is implemented.

Method for detecting containers which have fallen over and/or are damaged in a container mass flow, wherein the containers in the container mass flow are transported vertically on a transporter, wherein the container mass flow is captured as an image data stream using at least one camera, and wherein the image data stream is evaluated by an image processing unit, wherein the image data stream is evaluated by the image processing unit using a deep neural network in order to detect and locate the containers which have fallen over and/or are damaged.