A device for performing a measurement of a strand-shaped object comprises at least one transmission apparatus configured to emit measuring radiation onto the strand-shaped object, which reflects the measuring radiation. At least one receiving apparatus is configured to receive the measuring radiation reflected by the strand-shaped object. An evaluation apparatus is configured to determine at least one of (1) the diameter and (2) the outer contour of the strand-shaped object based on the measuring radiation received by the at least one receiving apparatus. At least one retroreflector is configured to surround at least a portion of the strand-shaped object and retroreflect at least some of the measuring radiation reflected by the strand-shaped object.

An apparatus for evaluating a quality for image capture comprises a stored (101) for storing a model of a scene and a capture circuit (105) for generating virtual captured images for a camera configuration by rendering from the model. A depth generation circuit (107) generates model depth data from the model and a depth estimation circuit (111) generates estimated depth data from the virtual captured images. A first synthesis circuit (109) and a second synthesis circuit (113) generates first and second view images for test poses by processing the virtual captured images based on the model depth data or estimated depth data respectively. A reference circuit (103) generates reference images for the f test poses by rendering based on the model. A quality circuit (115) generates a quality metric based on a comparison of the first view images, the second view images, and the reference images.

A method of determining a material property of an object. The method comprises: obtaining a real light intensity value for each of a first number of light source positions and each of a second number of light sensor positions, the real light intensity value indicating an intensity of light from the light source position that is reflected or diffused by an object to the light sensor position; determining a three-dimensional surface of the object; and for each of a plurality of points on the three-dimensional surface of the object, using a model that has been trained by machine learning, predicting the material property for the object at the point based on the obtained real light intensity values.

Provided are a surface grid scanning and display method, system and apparatus. The method comprises: calibrating all scanning devices located in a same three-dimensional space environment; scanning the three-dimensional space environment by the scanning devices, and generating three-dimensional scanning data corresponding to the scanning devices; obtaining pose information of each frame of the three-dimensional scanning data relative to the three-dimensional space environment; obtaining, based on the pose information and the three-dimensional scanning data, a first sparse 3D surface grid, corresponding to each scanning device, of the three-dimensional space environment; obtaining a second sparse 3D surface grid, corresponding to each scanning device, of a three-dimensional space environment outside a current scanning environment area; and rendering and displaying a combination of the first sparse 3D surface grid and the second sparse 3D surface grid by the scanning device corresponding to the first sparse 3D surface grid.

Disclosed herein is a dimensioner table (DT) that is highly transportable and can be removably or permanently affixed to a mobile platform (MP). This allows freight to be scanned at the time of pickup or each time it is unloaded/loaded onto a new MP. The dimensioning information collected from the DT can be used to create a 3D model of the freight which can be used to help provide loading instructions. The successive scans of the freight by each DT can also be used to identify any discrepancies in the 3D models or captured images which may indicate damage or partial loss of freight.

To provide a sheet-like structure capable of highly accurately estimating a sheet-like shape. A sheet-like structure includes a sheet-like member and a plurality of detection sensors. The sheet-like member extends along an in-plane direction orthogonal to a thickness direction and receives light incident on the sheet-like member. The plurality of detection sensors are dispersedly arranged on the sheet-like member along the in-plane direction and are for detecting an incident angle of the light with respect to the sheet-like member at each arrangement position of the plurality of detection sensors.

To provide a sheet-like structure capable of highly accurately estimating a sheet-like shape. A sheet-like structure includes a sheet-like member and a plurality of detection sensors. The sheet-like member extends along an in-plane direction orthogonal to a thickness direction and receives light incident on the sheet-like member. The plurality of detection sensors are dispersedly arranged on the sheet-like member along the in-plane direction and are for detecting an incident angle of the light with respect to the sheet-like member at each arrangement position of the plurality of detection sensors.

Systems and methods include a computer-implemented method for providing a photonic sensing system to perform an automated method to characterize displacement of equipment surfaces and monitor changes in real-time. A three-dimensional (3D) point cloud of one or more objects is generated by an analysis and presentation system using light information collected through structured light illumination by an array of structured-light sensors (SLSes) directed toward the one or more objects. Generating the point cloud includes defining points of the 3D point cloud that are relative to reference points on the one or more objects. Real-time contactless 3D surface measurements of the one or more objects are performed using the 3D point cloud. Changes in one or more parts of the one or more objects are determined by the an analysis and presentation system by analyzing the real-time contactless 3D surface measurements.

An apparatus and a method for rolling weight deflection measurement comprising a rolling wheel to be moved along a measuring surface in a first direction. The apparatus comprises a number of spaced apart range sensors arranged on at least one carrier and configured to measure a distance to said measuring surface at pavement locations passed by the apparatus. A first of said range sensors is arranged at a predetermined location with respect to said rolling wheel, and the remainder of the range sensors are arranged in spaced apart manner in line with said first range sensor in the in first direction. At least one inclination sensor is configured to measure at least a change in inclination of said at least one carrier, a curvature parameter value for said measuring surface is calculated using measurements from said range sensors and said inclination sensor.

A detection device includes: a first detector which irradiates light onto the target object and detects light emitted from the target object; a first shape information generator which generates first shape information representing a first shape of the target object on the basis of a detection result of the first detector; and a second shape information generator which adds a second shape, which is based on information different from the detection result of the first detector, to the first shape, and which generates second shape information representing a shape including the first shape and the second shape.