Hewlett-packard Development Company, L.P.

Inseego Corp.

Amit A Marathe

Jinman Kang

David Bradley Short

Ben Wynne

Daniel R Tretter

Yun David Tang

Robert L Mueller

Kar-Han Tan

Rafael Dal Zotto

Santiago Garcia-Reyero Vinas

Kar Han Tan

Geoffrey C Mayne

Franco Vieira E Souza

An example computing device can include a processing resource and a memory resource storing instructions thereon, the instructions executable by the processing resource to: log commands directed to the computing device, identify missed utterances from the logged commands, extract features from the missed utterances, wherein the features include an entity and a key phrase associated with the missed utterances, generate a list of the missed utterances based on a priority associated with the features associated with each of the missed utterances, and provide a portion of the missed utterances to a service for resolution, wherein the portion of the missed utterances are above a threshold priority within the list of the missed utterances.

Missed utterance resolutions

Systems and methods may include a first monitoring device positioned at a first location to monitor a monitored environment; and a second monitoring device positioned at a second location to monitor the monitored environment, wherein the first and second monitoring devices calibrate each other based on respective fiducial markers; wherein the first and second monitoring devices each comprise a processor and a memory coupled to the processor, the memory storing a plurality of instructions, which when executed by the processor, cause the processor to perform the operations of: detecting presence of the individual in the monitored environment; determining whether the condition of interest of the individual exceeds a determined threshold; based on the condition of interest of the individual exceeding the determined threshold, transmitting the condition of interest to a remote server to determine at least one of a social distancing breach and an identification of another person whom the individual contacted.

Systems and methods for monitoring and detecting symptoms of infectious conditions

The present subject matter relates to examples of color calibration of image handling units. In an example, color settings of a flash light unit of a projector unit of a computing system may be calibrated with reference to a target calibration point. The flash light unit may function as an illumination source for an image capturing unit of the computing system. Further, based on the target calibration point and an image captured by the image capturing unit under illumination provided by the flash light unit, the color settings of the image capturing unit may be calibrated to synchronize the color settings of the image capturing unit to the color settings of the flash light unit.

Color calibration

The present subject matter relates to data storage in a computing system. In an example, the computing system includes a projector unit including a projector memory. The projector memory may store calibration data pertaining to a plurality of components of the computing system in the projector memory. The plurality of components may include the projector unit and a display unit. Further, the calibration data corresponds to information pertaining to calibrations performed during factory calibration of each of the plurality of components.

Restoring components using data retrieved from a projector memory

Examples disclosed herein relate to detecting misalignment of a touch sensitive mat. Examples include detecting corners of the touch sensitive mat, determining a set of reference corners, performing a comparison of the detected corners of the mat with the set of reference corners, and determining a level of misalignment based on the comparison.

Misalignment detection

Examples of a system, method, and machine-readable non-transitory storage medium including instructions executable by a processor are disclosed herein. An example of the machine-readable non-transitory storage medium includes instructions executable by a processor to allow selection of a capture mode of a sensor module to record still images and/or a video mode of the sensor module to record video, retrieve default calibrated sensor module settings from a persistent memory, allow creation of at least one user defined sensor module setting that differs from one of the default calibrated sensor module settings, and utilize the at least one user defined sensor module setting along with the remaining default calibrated sensor module settings with the selected sensor module mode.

Default calibrated sensor module settings

An example processor-implemented method for generating corners of a display area is provided. The method comprises detecting a dominant line for each side of the display area, each dominant line used to identify corners, detecting subline segments on each side of the display area, determining a distance between the corners identified by the dominant lines and the sub-line segments on each side, and generating the corners of the display area based on the distance.

Corner generation in a projector display area

Examples disclosed herein describe, among other things, a computing system. The computing system may include, for example, a touch-sensitive surface to obtain a capacitive signature representing an object disposed on the touch-sensitive surface, and a camera to obtain supplemental data representing the object. The system may also include an identification engine to obtain, based at least on the capacitive signature, identification data associated with the object, and to obtain, based at least on the supplemental data, at least one characteristic of the object.

Growing community of inventors

San Diego, CA, United States of America

Amit A Marathe