A system and method for providing feedback on a quality of a 3D scan is provided. The system includes a coordinate scanner configured to optically measure and determine a plurality of three-dimensional coordinates to a plurality of locations on at least one surface in the environment, the coordinate scanner being configured to move through the environment while acquiring the plurality of three-dimensional coordinates. A display having a graphical user interface. One or more processors are provided that are configured to determine a quality attribute of a process of measuring the plurality of three-dimensional coordinates based at least in part on the movement of the coordinate scanner in the environment and display a graphical quality indicator on the graphical user interface based at least in part on the quality attribute, the quality indicator is a graphical element having at least one movable element.

Methods and systems for depth sensing are provided. A system includes a first and second optical sensor each including a first plurality of photodetectors configured to capture visible light interspersed with a second plurality of photodetectors configured to capture infrared light within a particular infrared band. The system also includes a computing device configured to (i) identify first corresponding features of the environment between a first visible light image captured by the first optical sensor and a second visible light image captured by the second optical sensor; (ii) identify second corresponding features of the environment between a first infrared light image captured by the first optical sensor and a second infrared light image captured by the second optical sensor; and (iii) determine a depth estimate for at least one surface in the environment based on the first corresponding features and the second corresponding features.

An alarming and measuring method for a volume measuring apparatus including a processor, a button, a first camera, and a second camera, the method includes: controlling the first and second cameras to capture a left image and a right image when the button is pressed; generating a depth graphic by the processor according to the left and right image; scanning the depth graphic to determine an existence of a target box; calculating a capturing angle of the apparatus with respect to the target box based on contour lines of the target box; alarming when the target box is not in the depth graphic or the capturing-angle does not match a measuring condition; and, calculating volume related data of the target box according to the contour lines when the target box exists and the capturing angle matches the measuring condition.

Provided herein is a method for measuring the size distribution and/or hardness of free falling rock pieces. The method comprises projecting at least one laser line on the falling rock pieces by a laser device; capturing images of the falling rock pieces at an angle from the at least one laser line by at least one camera; and obtaining size distribution data of the falling rock pieces based on data obtained from a topographical map generated from the captured images. Certain embodiments further comprise: obtaining at least one of the volume and area of individual rock pieces from the topographical map; conducting a data analysis on at least one of the volume and area measurements of the rock pieces to reduce at least one of sampling and measurement errors; determining the size distribution of the falling rock pieces based on the data analysis and, optionally, evaluating a rock hardness index for the rock. Further provided is a method comprising: producing two topographical maps of the pieces from captured images; and obtaining the volume of pieces from the topographical map by adding half-volumes from each of the topographical maps.

A method for producing a fencing material including the steps of: providing a border material having an interior surface; providing a mesh material having a front and a back; treating the interior surface of the border material to produce a tacky border material surface; placing a portion of the front and/or the back of the mesh material against the tacky border material surface; pressing the tacky border material surface and the mesh material together; and thermally bonding at least some portion of the front and the back of the mesh material with the interior surface of the border material. The border material being a polyvinyl chloride, the mesh being a polyvinyl chloride material and/or a vinyl coated material.

Provided are an apparatus and method for measuring the shape and thickness of a transparent object. A light projecting section that outputs beams of light to a transparent object, a light receiving sensor that receives the beams of light that have passed through the transparent object, and a data processing section that analyzes a received light signal in each light receiving element of the light receiving sensor are included. The light projecting section outputs, in parallel, output beams of light from a plurality of light sources, and the data processing section analyzes the received light signal in each light receiving element of the light receiving sensor and identifies a light source of any beam of light input into one light receiving element by using light source combination information that is stored in a storage section and that corresponds to a value of the received light signal.

A volume measuring apparatus is disclosed and includes a body having a working part and a holding part extended downward from the bottom of the working part, a processor arranged in the body, a first camera, a second camera, and a barcode capturing unit arranged on a front end of the working part, a first button arranged on one side of the holding part, and a second button arranged on a top of the working part. The first button and the second button are different types of button. By respectively operating the first button and the second button, the processor is controlled to perform a measuring action of the volume of a target box or to perform a decoding action of a target barcode based on the image captured by at least one of the first camera, the second camera, and the barcode capturing unit.

A position specifying method includes generating relation information based on first coordinates and second coordinates, the first coordinates indicating coordinates of a portion of a target object in three dimensions, at which a specific point is located, in a state where a prof ector projects the projection image having the specific point onto the target object, the second coordinates indicating coordinates of the specific point in the projection image in two dimensions, the relation information indicating a correspondence between a three-dimensional coordinate system and a projector coordinate system, the three dimensional coordinate system being used by a measuring instrument that specifies the first coordinates, the projector coordinate system defining the second coordinates and coordinates of the projector, and specifying a position of the projector in the three-dimensional coordinate system based on the coordinates of the projector, by using the relation information.

A 3D measuring system includes a first projector that projects a first line onto an object at a first wavelength, a second projector that projects a second line onto the object at a second wavelength, a first illuminator that emits a third light onto some markers, a second illuminator that emits a fourth light onto some markers, a first camera having a first lens and a first image sensor, a second camera having a second lens and a second image sensor, the first lens operable to pass the first wavelength, block the second wavelength, and pass the third light to a first image sensor, the second lens operable to pass the second wavelength, block the first wavelength, and pass the fourth light. The system further includes one or more processors operable to determine 3D coordinates based on images captured by the first image sensor and the second image sensor.

A method includes identifying a target surface in an environment of a robotic device. The method further includes controlling a moveable component of the robotic device to move along a motion path relative to the target surface, wherein the moveable component comprises a light source and a camera. The method additionally includes receiving a plurality of images from the camera when the moveable component is at a plurality of poses along the motion path and when the light source is illuminating the target surface. The method also includes determining bidirectional reflectance distribution function (BRDF) image data, wherein the BRDF image data comprises the plurality of images converted to angular space with respect to the target surface. The method further includes determining, based on the BRDF image data and by applying at least one pre-trained machine learning model, a material property of the target surface.