Intel Corporation

Joshua Ekandem

Glen J Anderson

Kathy Yuen

Giuseppe Beppe Raffa

Lenitra M Durham

Cory J Booth

Richard T Beckwith

Jamie Sherman

John Charles Weast

Jennifer Anne Healey

Jasmeet Chhabra

Michael J Payne

Ravishankar Iyer

Ignacio Javier Alvarez

Omer Ben-Shalom

Deepak Shashidhar Vembar

Adam Jordan

Alexandra C Zafiroglu

Stephen R Brown

Tamara Gaidar

Yosi Govezensky

Omesh Tickoo

Steve J Brown

Ariel Moshkovitz

Richard Beckwith

A communication system may include a plurality of geographically proximate nodes that communicate via one or more range-limited wireless technologies such as BLUETOOTH&#xae; low energy (BLE). An origin node may generate and communicate a first message responsive to detecting an event occurrence. The message may include an identifier associated with the origin node, data indicative of the event occurrence, a hop count, a maximum hop count, and a number of designated recipient nodes within the communication system. A first designated recipient node may, upon receiving the first message, attempt to confirm the event occurrence included in the first message. Upon confirming the event occurrence, the first designated recipient node may communicate a notification to an external third party. If unable to confirm the event occurrence, the first designated recipient node may generate and communicate a second message to a second designated recipient node included in the first message.

Autonomous sharing of data between geographically proximate nodes

Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.

Personal sensory drones

In embodiments, apparatuses, methods and storage media (transitory and non-transitory) are described that receive sensor data from one or more sensor devices that depict a user gesture in three dimensional space, determine a flight path based at least in part on the sensor data, and store the flight path in memory for use to control operation of a drone. Other embodiments may be described and/or claimed.

Drone controlling device and method

One or more sensors gather data, one or more processors analyze the data, and one or more indicators notify a user if the data represent an event that requires a response. One or more of the sensors and/or the indicators is a wearable device for wireless communication. Optionally, other components may be vehicle-mounted or deployed on-site. The components form an ad-hoc network enabling users to keep track of each other in challenging environments where traditional communication may be impossible, unreliable, or inadvisable. The sensors, processors, and indicators may be linked and activated manually or they may be linked and activated automatically when they come within a threshold proximity or when a user does a triggering action, such as exiting a vehicle. The processors distinguish extremely urgent events requiring an immediate response from less-urgent events that can wait longer for response, routing and timing the responses accordingly.

Ad-hoc wireless communication network including wearable input/output transducers

Examples include a determination how to manage storage of a video clip generated from recorded video based upon a sensor event. Managing storage of the video clip may include determining whether to save or delete the video clip based on an imprint associated with an object that indicates whether the object is included in the video clip.

Techniques to save or delete a video clip

Growing community of inventors

Rex, GA, United States of America

Joshua Ekandem