Abstract: Systems and methods for improved interferometric imaging are presented. One embodiment is a partial field frequency-domain interferometric imaging system in which a light beam is scanned in two directions across a sample and the light scattered from the object is collected using a spatially resolved detector. The light beam could illuminate a spot, a line or a two-dimensional area on the sample. Additional embodiments with applicability to partial field as well as other types of interferometric systems are also presented.

Abstract: A multi-layer touchscreen assembly for an appliance includes a panel including an outer touchscreen surface, an opaque layer positioned below the touchscreen surface and having at least one transparent area therein defining lighting of at least one visual touch control region, a printed circuit board positioned below the opaque layer, the printed circuit board including a plurality of light-emitting diodes proximate one or more corresponding capacitive touch sensors of a first visual touch control region of the one or more visual touch control regions, and the one or more capacitive touch sensors configured to provide a visual indication of a control aspect of the appliance according to a user's touch input. The assembly also includes at least one diffusion portion operatively positioned between the opaque layer at a transparent area thereof and the printed circuit board at the first visual touch control region.

Abstract: Systems and methods for improved interferometric imaging are presented. One embodiment is a partial field frequency-domain interferometric imaging system in which a light beam is scanned in two directions across a sample and the light scattered from the object is collected using a spatially resolved detector. The light beam could illuminate a spot, a line or a two-dimensional area on the sample. Additional embodiments with applicability to partial field as well as other types of interferometric systems are also presented.

Abstract: An example operation includes one or more of determining a danger level of an object in a vehicle, determining characteristics of the object including a weight, a size, and a location, updating the danger level of the object based on one or more of the characteristics, and sending a notification to a device associated with the updated danger level of the object.

Abstract: An example operation includes one or more of receiving a scan of a cabin of a vehicle, wherein the scan includes a spatial region inside the vehicle and outside the vehicle proximate at least one vehicle door, determining at least one occupant characteristic based on the scan, including a classification detection and a presence detection of at least one seat inside the vehicle, determining a cabin status based on the at least one occupant characteristic and communicating the cabin status to a mobile device.

Abstract: An example operation includes one or more of determining an occupant and an object in a vehicle, determining a type of the object, determining a first timestamp associated with the occupant and a second timestamp associated with the object, and responsive to the timestamps overlapping, notifying a device associated with the occupant when the value is greater than a threshold.

Abstract: An example operation includes detecting, by a vehicle, a location of a first potential passenger proximate to a road; determining, by the vehicle, a first road safety level of a pick-up for the first potential passenger; denying, by the vehicle, the pick-up for the first potential passenger when the determined first road safety level is below a threshold; determining, by the vehicle, a second road safety level of a pick-up for a second potential passenger; and picking up, by the vehicle, the second potential passenger, when the second road safety level is above the threshold.

Abstract: An example operation includes determining, by a vehicle, that a first occupant has exited the vehicle at a first location and has relocated to a second location; detecting, by the vehicle, a level of seriousness of an event related to the vehicle; sending a first notification of the event, by the vehicle, to a device associated with the first occupant, based on the first location and the level of seriousness; and, responsive to the device not responding to the first notification, sending a second notification to a server associated with an entity at the second location.

Abstract: An example operation includes one or more of determining a condition at a location containing a past occupant of a vehicle, determining a time when the past occupant will become an occupant of the vehicle, and adjusting another condition of a cabin of the vehicle to be at the condition at the time.

Abstract: An example operation includes one or more of receiving a call on a device associated with an occupant of a vehicle, determining a noise level proximate the occupant, and directing the call to a speaker proximate the occupant, based on the noise level.

Abstract: An example operation includes recording, from a vehicle sensor, data indicative of a plurality of movements of a first occupant in an interior of a vehicle; determining, from the recording, a first maximum range of extension among the plurality of movements, and a first amount of time between a first movement and a second movement of the plurality of movements; and assigning the first occupant to one of a plurality of age groups, based upon the determining.

Abstract: An example operation includes one or more of determining a movement of an occupant in a vehicle, determining an atypical health condition based on the movement and a position of the occupant in the vehicle, determining if the occupant is breathing, based on an analysis performed by the vehicle, verifying the atypical health condition by the vehicle, based on received data from a device proximate the occupant, and sending a notification to an entity, based on the verification.

Abstract: An example operation includes one or more of entering, by a vehicle, a security mode, when sensors on the vehicle detect a movement or an irregular sound, collecting data, by the vehicle, from the sensors to record an area proximate the vehicle, analyzing, by the vehicle, the data to determine a security threat, notifying, by the vehicle, a device associated with the vehicle when the security threat is above a threshold, and performing an action, by the vehicle, based on a message received from the device.

Abstract: An example operation includes one or more of detecting a movement of an object in a vehicle when the vehicle is in motion, and determining that the object is an inanimate object, based on a vertical and horizontal distance of the detected movement.

Abstract: An example operation includes one or more of receiving data from sensors on a vehicle, where the data is associated with an internal environment of the vehicle and characteristics of an occupant of the vehicle and modifying functionality of the vehicle based on the received data, where the modifying updates a Graphical User Interface (GUI) of the vehicle and a GUI of a device associated with the occupant.

Abstract: An example operation includes one or more of determining that a device associated with a vehicle is proximate or in the vehicle, determining that the device is approved for pairing with the vehicle, detecting that a person associated with the device is proximate or in the vehicle, and pairing the device with the vehicle.

Abstract: An example operation includes one or more of analyzing data related to content being delivered to occupant devices in a vehicle; and notifying the devices of additional functionality related to the vehicle based on the analyzing.

Abstract: Systems and methods for Broad Line Fundus Imaging (BLFI), an imaging approach that is a hybrid between confocal and widefield imaging systems, are presented. These systems and methods are focused on improving the quality and signal of broad line fundus images or imaging methods to create high contrast and high resolution fundus images. Embodiments related to improved pupil splitting, artifact removal, reflex minimization, adaptable field of view, instrument alignment and illumination details are considered.

Abstract: An optical coherence tomography (OCT) system (63) is used to inspect bonding points (66A, 66B, 66C) sandwiched between two materials (layers 62, 64 of e.g. displays). The OCT differentiates between a bonding point, e.g. a weld, and air gaps between the two materials. The bonding points are identified as breaks in the air gap between the materials. By extracting various physical characteristics of the bonding points and the gap between the two materials, the present system determines whether the bonding is faulty.

Abstract: An ophthalmic imaging system has a specialized graphical user interface GUI to convey information for manually adjusting control inputs to bring an eye into alignment with the device. The GUI provides additional information such as laterality, visual alignment overlay aids, and live video feeds. The system further applies automatic gain control to fundus images, synchronizes itself with other ophthalmic systems on a computer network, and provides an optimized image load and display system.