Apple Inc.

Other

Position Imaging, Inc.

Mantrose Group Limited Liability Company

Callahan Cellular LLC

Brett C Bilbrey

Aleksandar Pance

Nicholas V King

Duncan Robert Kerr

David Howard Sitrick

Edward L Hill

Michael F Culbert

David I Simon

Alexei V Ouzilevski

Peter M Arnold

Jay Zipnick

Narasimhachary Nallana Chakravarty

Martin E Johnson

Ronald Nadim Isaac

Mushtaq A Sarwar

Fernando A Urbina

Todd Benjamin

Krenar Komoni

Harry Lee Deffebach, Iii

Darby E Hadley

Brian Martel

Marc Bujold

David T Amm

Michael D Hillman

Gregory L Tice

Bradley Landon Spare

Jean Ling Lee

Vijay M Iyer

Brandon Dean Slack

Paul Alioshin

YiFeng Xiong

Omar Sze Leung

Guohua Min

Andrew P Richardson

Reese T Cutler

Mark Ibbotson

Peng Zheng

Harry Guo

Guy Cote

Jeffry E Gonion

Richard Wayne DeVaul

Anand Sethuraman

Lawrence Alan Gust

Heer Gandhi

Michael Sinclair

Bowei Gai

Henry Teng

Jacob W Bilbrey

Osei Kofi Poku

John Liu

Darbey E Hadley

Richard W Devaul

A luggage tag comprises an indicator; a thin tag body including a radiofrequency (RF) receiver configured to receive an RF signal transmitted by an RF transmitter and a processor in communication with the RF receiver and the indicator, the processor being configured to acquire information from the RF signal that is received by the RF receiver and to turn on the indicator in response to the information acquired from the RF signal; and means for coupling the thin tag body of the luggage tag to luggage.

Article-identification-and-location device systems and methods of using same

A system for enhancing audio including a plurality of sensors, an output device, and a processor in communication with the plurality of sensors and the output device. The processor is configured to process data captured by the plurality of sensors, and based on that, modify an output of the output device. The processor also is configured to determine whether there are a plurality of users associated with a video conferencing session, determine which user of the plurality of users is speaking, and enhance the audio or video output of the speaking user on the output device.

Devices with enhanced audio

There are provided systems, devices and methods for operating a housing for an electronic device as an input/output (I/O) device. In one embodiment, an electronic device includes a housing configured to function as an integrated housing and I/O device and one or more sensors obscured by a panel of the housing. The one or more sensors being configured to sense via the panel of the housing. The electronic device further includes a processing unit communicatively coupled to the one or more sensors and configured to interpret electrical signals generated by the one or more sensors. One or more output devices are communicatively coupled to the processing unit and configured to provide an output in response to the one or more sensors generating an electrical signal.

Housing as an I/O device

A network comprises a network apparatus constructed and arranged for each of a plurality of vehicles in radio frequency (RF) communication with each other, the network apparatus comprising: at least one first transceiver; at least one second transceiver configured to exchange RF signals with the at least one first transceiver; receiver circuitry configured to determine timing information from the acquired RF signals; memory storing information related to fixed distances between the at least one first transceiver and the at least one second transceiver; a processor coupled to the memory to access the stored information related to the fixed distances, and to the receiver circuitry to receive the timing information determined from the RF signals, the processor being configured to determine a relative position of the vehicle with respect to a receipt of the RF signals based on the stored information related to the fixed distances between each of at least three spatially separated antenna and on the timing information determined by the receiver circuitry; and a control system configured to control operation of the vehicle in response to the relative position of the vehicle, determined by the processor.

Spatial diversity for relative position tracking

An automated weapons system is comprised of a human transported weapon for use by a person. The weapon is comprised of a barrel, a targeting subsystem, a drone weapons subsystem, a computational subsystem, positioning means, and. a firing subsystem. The barrel is for propelling a fired munitions aimed towards an area of sighting. The targeting subsystem identifies a chosen target in the area of sighting. The drone weapons subsystem, has communications with the human transported weapons subsystem. The targeting subsystem utilizes communications with the drone weapons subsystem. The computational subsystem is responsive to the targeting subsystem, for determining where the chosen target is and where the barrel needs to be aimed so that the munitions will strike the chosen target. The positioning means, adjusts the aim of the munitions responsive to the computational subsystem. The firing subsystem fires the fired munitions at the chosen target responsive to the positioning means. In one embodiment, the drone further has munitions with positioning and firing capability thereupon, and, the computational subsystem determines where the target is and where the drone needs to be located in order to aim the munitions to strike the chosen target.

Human transported automatic weapon subsystem with human-non-human target recognition

A luggage tag includes an electronic ink display screen affixed to a surface of the luggage tag. Tag memory of the tag stores a unique identifier. An antenna receives an electromagnetic signal. Circuitry of the tag captures energy and acquires data from the electromagnetic signal received by the antenna and powers the electronic ink display with the captured energy. A processor receives the data acquired by the circuitry from the electromagnetic signal and produces an image on the electronic ink display using the acquired data if the acquired data includes a match to the unique identifier stored in the memory.

A human transported weapons system is comprised of processing logic and a barrel movably mounted within a stock. The barrel is movable for positioning and propelling a projectile. The system is comprised of a targeting subsystem (aiming towards an area of sighting); means for locking onto at least one target in the area of sighting as a chosen target responsive to the processing logic; means for determining where the projectile needs to be aimed to strike the chosen target responsive to the processing logic; means for computing a difference between where the projectile needs to be aimed to strike the chosen target at a firing time and where the barrel is aimed at the firing time, responsive to the processing logic; means for adjusting the position of the barrel within the stock, responsive to the computing the difference [note: barrel is adjusted within the stock of the weapon responsive to determining where the projectile needs to be aimed at the firing time to strike the chosen target and where the barrel is aimed at the firing time]; and, a firing subsystem, firing the projectile at firing time so to propel the projectile through the barrel at the chosen target.

Automatic weapon subsystem movably mounted barrel to strike target at firing time

A system and method of identifying and tracking objects comprises registering an identity of a person who visits an area designated for holding objects, capturing an image of the area designated for holding objects, submitting a version of the image to a deep neural network trained to detect and recognize objects in images like those objects held in the designated area, detecting an object in the version of the image, associating the registered identity of the person with the detected object, retraining the deep neural network using the version of the image if the deep neural network is unable to recognize the detected object, and tracking a location of the detected object while the detected object is in the area designated for holding objects.

Machine-learning-assisted self-improving object-identification system and method

A luggage tag comprises an indicator; a thin tag body including a radiofrequency (RF) receiver configured to receive an RF signal transmitted by an RF transmitter and a processor in communication with the RF receiver and the indicator, the processor being configured to acquire information from the RF signal that is received by the RF receiver and to turn on the indicator in response to the information acquired from the RF signal; and a coupling unit for coupling the thin tag body of the luggage tag to luggage.

A device can receive live video of a real-world, physical environment on a touch sensitive surface. One or more objects can be identified in the live video. An information layer can be generated related to the objects. In some implementations, the information layer can include annotations made by a user through the touch sensitive surface. The information layer and live video can be combined in a display of the device. Data can be received from one or more onboard sensors indicating that the device is in motion. The sensor data can be used to synchronize the live video and the information layer as the perspective of video camera view changes due to the motion. The live video and information layer can be shared with other devices over a communication link.

Synchronized, interactive augmented reality displays for multifunction devices

A human transported weapons system is comprised of a barrel, a targeting subsystem, a computational subsystem, positioning means, and, a firing subsystem. The barrel is movably mounted within a stock for propelling a projectile towards an area of sighting. The targeting subsystem identifies a chosen target in the area of sighting and locking onto the chosen target at a first time. The computational subsystem, responsive to the targeting subsystem, determines where the chosen target is, and determines where the projectile needs to be aimed to strike the chosen target at a firing time. The positioning means, adjusts the position of the barrel within the stock, responsive to the computational subsystem. The firing subsystem, activates firing at the firing time to propel the projectile through the barrel at the chosen target at the firing time. The locking onto the target can be either: responsive to target selection by the person; or,

Method of human transported weapon with movably mounted barrel adjusted at firing time with use of neural network

An automated weapon system [preferably a human transported weapon] is comprised of a barrel, a targeting subsystem, a computational subsystem, a positioning subsystem, and, a firing subsystem. The barrel is utilized for propelling a fired munitions as aimed towards an area of sighting. The targeting subsystem identifies a chosen target in the area of sighting. The computational subsystem, responsive to the targeting subsystem, determines where the chosen target is and where the barrel needs to be aimed so that the munitions will strike the chosen target. The positioning subsystem adjusts the aim of the munitions responsive to the computational subsystem. The firing subsystem, fires the munitions at the chosen target responsive to the positioning subsystem. In one embodiment, the system is further comprised of an additional linked automated weapon having a separate barrel, separate munitions, a separate positioning subsystem, and a separate firing subsystem. The computational subsystem determines the positioning of the separate barrel to shoot the separate munitions to strike the chosen target. The additional linked automated weapon can be mounted on a stationary mount or mounted on a movable mount.

Automated human transported weapon with additional linked weapons

Growing community of inventors

Sunnyvale, CA, United States of America

Brett C Bilbrey