Intel Corporation

Todd Sean Harple

Gyan Prakash

Saurabh Dadu

Sigal Louchheim

Francis Anthony Bitonti

Peter Emery Wildfeuer

Rajesh Poornachandran

Wendy March

Min Liu

Jameson H Williams

Bryan R Peebler

Mariano J Phielipp

Mei Lu

Benjamin S Weigand

Methods, apparatus, systems and articles of manufacture are disclosed relating to 3D-printed structures. An example method of building a sensor with a 3D printer includes building a first conductive substrate and building a second conductive substrate. The example method also includes building a dielectric structure between the first conductive substrate and the second conductive substrate, the dielectric structure including a first latticed structure including a first plurality of legs extending inwardly at a first angle and a second latticed structure including a second plurality of legs extending inwardly at a second angle.

3D printed sensor and cushioning material

Methods, apparatus, systems and articles of manufacture are disclosed relating to 3D-printed structures. An example 3D-printed structure includes a first conductive substrate, a second conductive substrate and a dielectric structure between the first conductive substrate and the second conductive substrate, the dielectric structure including a latticed structure having a first stiffness in a first direction and a second stiffness in a second direction different than the first direction.

An example system that allows a camera enabled application, such as an augmented reality application, to run in a protected area may include a first device including a camera, the camera including a secure mode of operation and a display, an image processing module configured to convert image data from the camera to encoded data when the camera is in the secure mode and protect image data stored in the system, an encryption module configured to encrypt encoded data from the image processing module, and a protected audiovisual path mechanism configured to securely send augmented encoded data to the display.

Context based management for secure augmented reality applications

Generally, this disclosure describes multiple lenses in a mobile device. A mobile device may include a housing including a first surface, an opposing second surface and third, fourth, fifth and sixth surfaces connecting the first surface and the second surface forming the housing; a plurality of lenses, each lens configured to capture a respective image, each lens positioned relative to the housing so that a respective lens axis associated with each lens is perpendicular within a tolerance to at least a portion of at least one surface and a first lens axis associated with a first lens is perpendicular within the tolerance to a second lens axis associated with a second lens; at least one image sensor coupled to the plurality of lenses, configured to convert each captured image into respective image data; and circuitry configured to receive and process the image data.

Multiple lenses in a mobile device

Embodiments of computing systems, and related methods, are disclosed herein. In some embodiments, a computing system may include a peripheral device (e.g., an image capture device and/or an audio output device) and control logic. The control logic may be coupled with a sensor system and the peripheral device to receive a trigger signal; receive, from the sensor system, one or more interaction signals indicative of a user interaction with the computing system; and, in response to receipt of the trigger signal and the one or more interaction signals, generate a control signal for output to the peripheral device to control operation of the peripheral device. Other embodiments may be disclosed and/or claimed.

Growing community of inventors

Hillsboro, OR, United States of America

Todd Sean Harple