A system is provided for alerting of potential vehicle damage when moving into or out of a confined space, the confined space having a side structure which can damage the vehicle when moving into the confined space if the vehicle is too close to the side structure. The system comprises a beam transmitter for transmitting a beam, and a beam receiver for receiving the beam. The beam travels along a path at an angle relative to a ground surface of from about 40 degrees to 60 degrees. An alert generator generates an alert such as light, sound, or both, when a vehicle intersects the beam.

A system for sensing and controlling eye contact for a robot. The system includes a robotic figure with a movable eye. The system includes a light source positioned in the robotic figure to output light through a light outlet of the eye. A light sensor is included that senses light striking surfaces in a physical space in which the robotic figure is positioned including the output light from the light source. The system includes an image processor processing output of the light sensor to identify a location of a target formed by the output light striking surfaces in the physical space and to identify a location of a face of a human. Further, the system includes a robot controller generating eye movement control signals based on the location of the target and the location of the face to position the eye to provide eye contact with the human observer.

An image sensor is positioned such that a field-of-view of the image sensor encompasses at least a portion of a rack storing items. The image sensor generates angled-view images of the items stored on the rack. A tracking subsystem determines that a person is within a threshold distance of the rack and receives image frames of the angled-view images. A pixel position of a wrist of the person is determined in at least a subset of the received image frames, thereby determining a set of pixel positions of the wrist. An aggregated wrist position is determined based on the set of pixel positions. If the aggregated wrist position is determined to correspond to a position on a shelf of the rack, a trigger signal is provided indicating a shelf-interaction event has occurred.

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.

An image sensor is positioned such that a field-of-view of the image sensor encompasses at least a portion of a rack storing items. The image sensor generates angled-view images of the items stored on the rack. A tracking subsystem determines that a person is within a threshold distance of the rack and receives image frames of the angled-view images. A pixel position of a wrist of the person is determined in at least a subset of the received image frames, thereby determining a set of pixel positions of the wrist. An aggregated wrist position is determined based on the set of pixel positions. If the aggregated wrist position is determined to correspond to a position on a shelf of the rack, a trigger signal is provided indicating a shelf-interaction event has occurred.

Various embodiments are directed to a method for performing micro-scale scanning of rail networks. The method may include (i) scanning, by a sensor component, one or more railroad track sections including web markings at a submillimeter ranging resolution to capture three-dimensional (3D) depth image data, (ii) capturing, by a timing synchronization component coupled to the sensor component, location data, speed data, direction data, and timing data corresponding to the captured 3D depth image data, (iii) receiving, by a post-processing component, the 3D depth image data and the location data, speed data, direction data, and timing data from the sensor component and the timing synchronization component, and (iv) performing, by the post-processing component, a computer-implemented depth imagery analysis of the raw 3D depth image data to extract features corresponding to the web markings on the railroad track sections.

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.

An object tracking system includes a first sensor, a second sensor, and a tracking system. The first sensor is configured to capture a first frame of a global plane for at least a first portion of a space. The second sensor is configured to capture a second frame of at least a second portion of the space. The tracking system is configured to determine the object is within an overlap region with the second sensor based on a first pixel location. The tracking system is further configured to determine a first coordinate in the global plane for the object, to determine a second pixel location in the second frame for the object based on the first coordinate, and to store the second pixel location with an object identifier a tracking list associated with the second sensor.

The iris recognition device includes an iris camera module used for collecting iris characteristics of a user, and at least one fill light component used for providing a supplementary light source for the iris camera module. When the iris recognition device is used for collecting the iris characteristics of the user, the supplementary light source provided by the fill light component reduces reflective spots on the iris or make reflective spots in areas other than iris such as sclera and pupil, thereby improving precision of the collected iris characteristics of the user.