A camera is configured to output a test depth+multi-spectral image including a plurality of pixels. Each pixel corresponds to one of the plurality of sensors of a sensor array of the camera and includes at least a depth value and a spectral value for each spectral light sub-band of a plurality of spectral illuminators of the camera. A face recognition machine is previously trained with a set of labeled training depth+multi-spectral images having a same structure as the test depth+multi-spectral image. The face recognition machine is configured to output a confidence value indicating a likelihood that the test depth+multi-spectral image includes a face.

A method and apparatus for measuring a distance to an object, be a device (100) having at least two cameras (104, 106), is described. One or more first images including the object are acquired by a first camera of the device and one or more first reference images are acquired by a second camera of the device, while the device is in a first position. One or more second images including the object and one or more second reference images are acquired by cameras of the device, while the device is in a second position, different from the first position. Based on the first and second reference images, information on the displacement of at least one camera of the device between the first and second position are determined. The distance from the device to the object is calculated based on the first and second images including e object and the determined information on the displacement of the at least one camera.

A method including, accessing an occupancy of the workspace. The method also includes, in response to the occupancy status indicating vacancy: at a first time, recording a first image and a second image of the workspace, the first image and the second image characterized by a first resolution; and executing an arrival detection model based on the first and second image. The method further includes, in response to detecting arrival at the workspace: at a third time, recording a third image of the workspace, the third image characterized by a second resolution greater than the first resolution; and executing an occupancy detection model based on the third image. The method additionally includes, in response to detecting occupancy of the workspace: updating the occupancy status to indicate occupancy; and transmitting the occupancy status to a remote scheduling system.

An imaging system for capturing movement of an object can include a camera configured to capture image data. The system can also include a first motion sensor and a second motion sensor configured to detect an object; and transmit a motion detection signal to a motion sensor controller indicating the position of the object when it was detected by the first and second motion sensors. The system can further include a motion sensor controller configured to receive the motion detection signal, determine, based on the motion detection signal, whether the object has entered the target space; and generate a camera activation signal in response to determining that the object has entered the target space. The system can also include a camera activation engine configured to receive a camera activation signal from the motion sensor controller, and activate the camera to capture image data of the target space.

This application is directed to a method for controlling user experience (UX) operations on an electronic device that executes an application. A touchless UX operation associated with the application has an initiation condition including at least detection of a presence and a gesture in a required proximity range with a required confidence level. The electronic device then determines from a first sensor signal the proximity of the presence with respect to the electronic device. In accordance with a determination that the determined proximity is in the required proximity range, the electronic device determines from a second sensor signal a gesture associated with the proximity of the presence and an associated confidence level of the determination of the gesture. In accordance with a determination that the determined gesture and associated confidence level satisfy the initiation condition, the electronic device initializes the touchless UX operation associated with the application.

Systems and methods of detecting and identifying objects are provided. In one exemplary embodiment, a method performed by one of a plurality of network nodes, with each network node having an optical sensor and being operable to wirelessly communicate with at least one other network node, comprises sending, by a network node over a wireless communication channel, to another network node, an indication associated with an object that is detected and identified by the network node based on one more images of that object that are captured by the optical sensor of the network node. Further, the detection and identification of the object is contemporaneous with the capture of the one or more images of that object. Also, the network node is operable to control a spatial orientation of the sensor so that the sensor has a viewing angle towards the object.

An apparatus for a combined camera system is described herein. The apparatus includes an adjustable infrared (IR) pass filter. A passband of the adjustable infrared (IR) pass filter is electrically adjusted. The apparatus also includes a rolling shutter sensor. An adjustable filter is to implement a global shutter and a rolling shutter sensor global reset.

The technology relates to camera systems for vehicles having an autonomous driving mode. An example system includes a first camera mounted on a vehicle in order to capture images of the vehicle's environment. The first camera has a first exposure time and being without an ND filter. The system also includes a second camera mounted on the vehicle in order to capture images of the vehicle's environment and having an ND filter. The system also includes one or more processors configured to capture images using the first camera and the first exposure time, capture images using the second camera and the second exposure time, use the images captured using the second camera to identify illuminated objects, use the images captured using the first camera to identify the locations of objects, and use the identified illuminated objects and identified locations of objects to control the vehicle in an autonomous driving mode.

Systems and methods are provided for identifying customers aboard a cruise ship for provision of products and location access and for embarkation or disembarkation. Systems can include a data store on the cruise ship storing customer profiles of customers, a plurality of networked computing devices including image capture devices, and a processor in communication with the data store and the networked computing devices. The processor receives access requests in conjunction with images of the requestors, uses facial recognition software algorithms to identify the requestor as a customer entitled to the requested access, based on facial recognition data stored for the customer, and causes access to be granted to the customer. Confidence levels of facial recognition results may be improved by combining initial facial recognition results with additional cruise-specific information associated with customers.

An improved iris recognition illumination system is disclosed. The system includes (i) an RGB laser device that is associated with a first collimating optic and (ii) an IR illumination device that is associated with a second collimating optic. The system also includes a DMA that has a MEMS mirror system. The DMA optically combines IR light and RGB light to generate combined light. The combined light is then directed towards a user's iris via a transport medium (e.g., a waveguide). One or more photodetector(s) are positioned to capture reflected light that is reflected off of the user's iris. The photodetectors include an IR detector configured to detect reflected IR light off of the user's iris in order to perform iris recognition.