A depth camera assembly (DCA) determines depth information within a local area. The DCA may selectively process a subset of data captured by an imaging sensor and obtained from the imaging sensor, such as pixels corresponding to a region of interest, for depth information. Alternatively, the DCA may limit retrieval of data from the imaging sensor to pixels corresponding to the region of interest from the imaging sensor for processing for depth information. The depth processing may include a semi-global match (SGM) algorithm, and the DCA adjusts a number of neighboring pixels used for determining depth information for a specific pixel based on one or more criteria. In some embodiments, the DCA performs the depth processing by analyzing images from different image sensors using left to right and right to left correspondence checks that are performed in parallel.

Provided is an object recognition device for performing object recognition on a field of view (FoV). The object recognition device includes a light detection and ranging (LiDAR) data acquisition module configured to acquire data for the FoV from a sensor configured to project the FoV with a laser and receive reflected light, and a control module configured to perform object recognition on an object of interest in the FoV using an artificial neural network, wherein the control module includes a region of interest extraction module configured to acquire region of interest data based on acquired intensity data for the FoV, and an object recognition module configured to acquire object recognition data using an artificial neural network, and recognize the object of interest for the FoV.

An optical dimensioning system includes one or more light emitting assemblies configured to project one or more predetermined patterns on an object; an imaging assembly configured to sense light scattered and/or reflected off the object, and to capture an image of the object while the patterns are projected; and a processing assembly configured to analyze the image of the object to determine one or more dimension parameters of the object. The light emitting assembly may include a single piece optical component configured for producing a first pattern and second pattern. The patterns may be distinguishable based on directional filtering, feature detection, feature shift detection, or the like. A method for optical dimensioning includes illuminating an object with at least two detectable patterns; and calculating dimensions of the object by analyzing pattern separate of the elements comprising the projected patterns. One or more pattern generators may produce the patterns.

A method of determining a displacement comprises: generating an interferometric superoscillatory field from coherent electromagnetic radiation, the interferometric superoscillatory field comprising an interference pattern between a reference field and a superoscillatory field; detecting with a detector a first set of intensity distributions of the interferometric superoscillatory field, each intensity distribution from a different polarisation state of the electromagnetic radiation; detecting with the detector a second set of intensity distributions of the interferometric superoscillatory field, each intensity distribution from the same polarisation states of the electromagnetic radiation as the first set of intensity distributions; extracting a first local wavevector distribution from the first set of intensity distributions and a second local wavevector distribution from the second set of intensity distributions; comparing the first local wavevector distribution and the second local wavevector distribution to identify any change in position of one or more features in the local wavevector distributions; and ascertaining that a lateral displacement has occurred between the interferometric superoscillatory field and the detector if a change in position is identified.

Some embodiments are directed to a biometric authentication system including headwear having a plurality of biosensors each configured to sample muscle activity so as to obtain a respective time-varying signal, a data store for storing a data set representing characteristic muscle activity for one or more users, and a processor configured to process the time-varying signals from the biosensors in dependence on the stored data set so as to determine a correspondence between a time-varying signal and characteristic muscle activity of one of the one or more users, and in dependence on the determined correspondence, authenticate the time-varying signals as being associated with that user.

A high security key scanning system and method is provided. The scanning system may comprise a sensing device configured to determine information and characteristics of a master high security key, and a digital logic to analyze the information and characteristics of the master key. The sensing device may be configured to capture information about the geometry of features cut into the surface of the master key. The logic may analyze the information related to that geometry and compare it to known characteristics of that style of high security key in order to determine the data needed to replicate the features on a new high security key blank. The system may be configured to capture the surface geometry using a camera or other imaging device. The system may utilize object coating techniques, illumination techniques, filtering techniques, image processing techniques, and feature extraction techniques to capture the desired features.

A biometric identification system and a method for biometric authentication are described. A biometric authentication system includes at least one light source comprising at least one of a vertical surface emitting laser (VCSEL) or a VCSEL array configured to provide an illumination beam when the biometric authentication system is turned on. The system also includes an optical element configured to broaden the illumination beam and direct the illumination beam towards the portion of the object so as to generate at least one corresponding image response. The system also includes an image sensing unit configured to receive the at least one corresponding image response, capture a speckle pattern in the image response and form at least one of a computer readable image or data representing a speckle contrast in the speckle pattern.

The disclosure relates to a snow vehicle having at least one lighting element for orientation in the surroundings of the vehicle and for optical detection of obstacles and topographical conditions of the surroundings, wherein the lighting element is a laser having at least one laser beam, which projects a pattern having a structure on the ground of the surroundings, said pattern being distorted in a visually recognizable manner on the obstacle to be detected or on the topographical conditions.

Method for identifying a cork stopper comprising: capturing an image of a surface of the cork stopper which is being illuminated tangentially to said surface; comparing the captured image to a database of previously stored images of cork stoppers; indicating whether the captured image matches one of the previously stored images of cork stoppers. It is also disclosed a device for identifying a cork stopper comprising an electronic data processor arranged to carry out said method. A kit comprises said device and an illuminator arranged for illuminating tangentially (grazing light) a surface of the cork stopper. The kit and the method can be used to easily identify cork stopper and bottle together thus making counterfeiting much harder.

Structured light projection system include narrow beam divergence semiconductor sources. The structured light projector system includes an array of narrow beam divergence semiconductor sources, and a projection lens operable to generate an image of the array of narrow beam divergence semiconductor source. Each narrow beam divergence semiconductor source can include an extended length mirror that helps suppress one or more longitudinal and/or transverse modes such that the beam divergence and/or the spectral width of emission is substantially reduced.