Techniques for determining a depth of a buried asset are provided. A first point on an AR model of the buried asset is identified. The first point is where a depth of the buried asset is to be determined. An AR device is used to determine coordinates of a second point on a surface corresponding to the first point on the AR model. Coordinates of a third point on the buried asset corresponding to the first point on the AR model are determined. The depth of the buried asset is determined based on the coordinates of the second point on the surface and coordinates of the third point on the buried asset.

A flow rack unit for providing stock material units includes at least two rack bays and one control system. Each rack bay has a removal side and a storage side opposite the removal side and is configured to provide the stock material units in a respective bay level arranged next to one another starting in the direction of the storage side. A respective sensor arrangement of the control system is associated with each rack bay. Each sensor arrangement is arranged at the storage side of the associated rack bay and connected to a control unit of the control system via a common data line. The sensor arrangements each include an occupancy sensor configured as a distance sensor. Each occupancy sensor has a measurement zone that is aligned to measure a distance from a rearmost stock material unit stored in the associated rack bay and disposed closest to the occupancy sensor.

Disclosed herein is a detector for determining a position of at least one object . The detector includes at least one projector for illuminating the object, at least one sensor element, and at least one evaluation device.

A system includes a local device and a remote computing system. The local device is disposed in a toilet paper dispenser and includes a sensor and a first processor. The sensor is configured to measure a distance to a toilet paper roll. The first processor is configured to calculate, using the measured distance to the toilet paper roll, a percentage of toilet paper remaining on the toilet paper roll. The first processor is further configured to transmit, when it is determined that the percentage of toilet paper remaining is less than a minimum threshold, sensor data across a wireless communications network. The remote computing system includes a second processor configured to receive the sensor data and send an alert for display on a user device in response to receiving the sensor data.

The invention relates to a method and an apparatus for ascertaining a positional deviation of a brake disc (30) relative to a caliper seat (11). According to the invention, an angular deviation (34) from the parallel between the brake disc (30) and the caliper seat (11) is measured in that an apparatus (1) for ascertaining the positional deviation of the brake disc (30) is connected to the caliper seat (11), the apparatus (1) comprising at least two distance sensors (20, 22) that are stationary with respect to the caliper seat (11) and take measurements in the direction of a first flat face of the brake disc (30), the distance sensors (20, 22) transmitting distances (A, A′) between the first flat face of the brake disc (30) and the distance sensors (20, 22) measured at different radii (R, R′) of the brake disc (30) to an evaluation device, the angular deviation (34) of the brake disc (30) being ascertained by the evaluation device from the distances.

In general, devices, systems, and methods for fiducial identification and tracking are provided.

Systems and methods described for embossing micro-scale features are provided. On various substrates. Micro-scaled features can contain nanometer to micrometer structural features. Various embodiments may relate to methods and systems that may allow substrates, non-limiting examples of which may include metals such as silver, copper, tin, gold, or the like, to be embossed to diffract light into various colors that can be refracted at various perspective angles. High-quality grooves can be machined down to the sub-micron or nanometer regime to generate embossment moulds for fast, single-step, repeated (e.g. in the order of tens to thousands) replication of gratings on bulk metallic substrates using a same embossing die without significant loss of embossing quality.

The present disclosure relates to a distance measurement method, an intelligent control method and apparatus, an electronic device, and a storage medium. The method includes: obtaining a detection bounding box of a target object in an image photographed by a current object; determining at least one distance measurement point according to the shape of the detection bounding box; and determining a distance between the target object and the current object based on the distance measurement point.

An image capturing apparatus includes: a coordinate value acquisition unit acquiring first coordinate values serving as position information of a moving target; an image capturing unit capturing an image of the target; a direction and distance calculation unit calculating a direction of an optical axis that connects the target and the image capturing unit and a distance between the target and the image capturing unit on the optical axis based on the first coordinate values and second coordinate values serving as position information of the image capturing unit; an attitude control unit controlling an attitude of the image capturing unit based on the calculated direction of the optical axis; and an imaging magnification setting unit setting an imaging magnification of the target in the image capturing unit based on the calculated distance, wherein the image of the target is captured while changing the imaging magnification and the attitude.

A system and method for estimating dimensions of an approximately cuboidal object from a 3D image of the object acquired by an image sensor of the vision system processor is provided. An identification module, associated with the vision system processor, automatically identifies a 3D region in the 3D image that contains the cuboidal object. A selection module, associated with the vision system processor, automatically selects 3D image data from the 3D image that corresponds to approximate faces or boundaries of the cuboidal object. An analysis module statistically analyzes, and generates statistics for, the selected 3D image data that correspond to approximate cuboidal object faces or boundaries. A refinement module chooses statistics that correspond to improved cuboidal dimensions from among cuboidal object length, width and height. The improved cuboidal dimensions are provided as dimensions for the object. A user interface displays a plurality of interface screens for setup and runtime operation.