An exemplary computing system for locating an object in an operational area is disclosed. The computing system having a server and plurality of edge devices. The edge devices having an image sensor configured to capture video data of the operational area from a specified location. The edge devices can process the video data to identify an object and generate a two-dimensional shape representative of the object, generate a vector from a lens of the image sensor through a center point of the two-dimensional shape; and determine relative position of the two-dimensional shape based on geospatial information of the edge device and the vector. The server and one or more of the edge devices receiving video data from a plurality of edge devices and generating a graphic, which defines a position of the object within the operational area based on the vector and location information of each edge device.

A system and method for aligning projection of an optical indicia on a surface of a large object is disclosed. A reference is disposed in proximity to the object. The reference includes a plurality of markers spaced at intermittent locations. A projection system projects optical indicia onto the surface of the object. A detection system detects the markers disposed upon the reference and signals an image of the markers to a processor for the processor to register a location of the projection system relative to the reference. The reference is aligned with a feature disposed upon the object enabling registration of the markers to the object. A location of the projection system relative to the object is established enabling the projection system to project the optical indicia onto the object to a predetermined location.

A camera calibration tool for calibrating one or more cameras of a mobile machine comprising calibration targets and a net. Each of the calibration targets comprises identifiable indicia. The net is adapted to be coupled to the mobile machine. The net has one or more configurations that define predetermined target locations, with location markers, in a predetermined layout. The calibration targets are positioned respectively at the predetermined target locations in the predetermined layout to calibrate the one or more cameras by use of the calibration targets.

Provided are a signal source space sensing method and apparatus, and an active sensing system. The method includes: a controller controls a signal transmitter to transmit a first signal to an object to be tested; the controller controls a signal receiver to receive a second signal, which is obtained after the first signal is transmitted by the object; the controller determines a coordinate relationship between the spatial position of said object and a signal source space according to the first signal and the second signal, wherein the signal source space is a coordinate space where the first signal transmitted by the signal transmitter is located; and the controller maps the second signal back to the signal source space according to the coordinate relationship between the spatial position of the object and the signal source space, to obtain a signal source space signal so as to reconstruct a sensing signal.

The present invention, thanks to the horizontal positional tracking unit (20)—mounted to a hand-held metal detector (10)—consisting of optical flow sensor lens (22), an optical flow sensor camera (21), an optical flow sensor processor (23), a height sensor (24) and an IMU sensor (25); allows the calculation of the depth of the target (60) by tracking the horizontal position while the user freely sweeps the search head (11) of the metal detector (10) with the “optical flow” method and using the metal detection signals received from many point positions around the detected target center with this position; so it relates to a method of measuring a target depth and a metal detector using this method, which allow calculation to be made independently of the type and practical the size of the metal.

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.

A three-dimensional position estimation device includes: a feature point extracting unit for detecting an area corresponding to the face of an occupant in an image captured by a camera for imaging a vehicle interior and extracting a plurality of feature points in the detected area; an inter-feature-point distance calculating unit for calculating a first inter-feature-point distance that is a distance between distance-calculating feature points among the plurality of feature points; a face direction detecting unit for detecting the face direction of the occupant; a head position angle calculating unit for calculating a head position angle indicating the position of the head of the occupant with respect to an imaging axis of the camera; an inter-feature-point distance correcting unit for correcting the first inter-feature-point distance to a second inter-feature-point distance that is a distance between distance-calculating feature points in a state where portions of the head corresponding to the distance-calculating feature points are arranged along a plane parallel to an imaging plane of the camera using a result detected by the face direction detecting unit and the head position angle; and a three-dimensional position estimating unit for estimating the three-dimensional position of the head using the head position angle, the second inter-feature-point distance, and a reference inter-feature-point distance.

A system for monitoring survey reflectors arranged at a plurality of locations on an object, having: a camera, including: one or more light sources arranged to illuminate a field in space corresponding to at least 10% of a field of view of the camera, preferably the whole field of view; an image sensor receiving light beams from reflections of the beam by the survey reflectors and providing data; a body with an optical entry system, the image sensor located on a first side and the light source on a second side of the body; and a processing unit processing the data.

The processing unit is configured to determine locations of the survey reflectors from the image sensor data and detect movement of the survey reflectors based on a comparison of the determined locations with previously determined locations.

A system for locating a strand including fibers of a first woven preform material, the preform including, at the surface, strands of fibers of a second material and the strand including fibers of the first material forming a tracer. The system further includes a camera; a light source emitting a non-polarized incident beam configured to be directed towards the preform; a polarizer configured to polarize the non-polarized incident beam before interacting with the preform in order to obtain a polarized incident beam; and a crossed analyzer; the first material being chosen from among glass, aramid and aluminum oxide; the second material being chosen from among carbon and silicon carbide; the camera being configured to film a reflected beam originating from the interaction of the polarized incident beam with the preform, the reflected beam having previously crossed the crossed analyzer, so as to locate the tracer of the preform.

An image processing device includes: an imaging execution unit that captures a first partial image including a part of a tool by a camera, a position specifying unit that specifies a next imaging position on the basis of a partial shape of the tool included in the first partial image, and a position control unit that changes the relative positions of the tool and the camera to the specified imaging position. The imaging execution unit captures a second partial image including a part of the tool at the next imaging position.