Fang Zhang Wang

US Patent:

20200234055, Jul 23, 2020

Filed:

Jan 18, 2019

Appl. No.:

16/251738

Inventors:

- Armonk NY, US
Fang WANG - Westford MA, US
Sushain PANDIT - Austin TX, US
Martin OBERHOFER - Sindelfingen, DE

International Classification:

G06K 9/00
B64C 39/02

Abstract:

Methods and systems for passive approaching object recognition are disclosed. A method includes: detecting, by a computing device, an object in an area monitored using a camera; determining, by the computing device, whether the object is a known object or an unknown object; and in response to determining that the object is the unknown object, the computer device sending an unmanned aerial vehicle to monitor the object.

US Patent:

20200218940, Jul 9, 2020

Filed:

Jan 8, 2019

Appl. No.:

16/242425

Inventors:

- ARMONK NY, US
FANG WANG - WESTFORD MA, US
SU LIU - AUSTIN TX, US
ANNA CHANEY - WILLIAMSON TX, US

International Classification:

G06K 9/62
G06N 20/00
H04L 9/06
H04L 29/06
G06F 21/64

Abstract:

A distributed system includes a model engine coupled to a data source storing training data and to a data source storing testing data. The model engine is being operated in accordance with a smart contract to enable entities to collaboratively produce a model based on the training data using blockchain infrastructure. Contributions of each entity are entered into a ledger of the blockchain as blocks. The model engine is configured to provide a model that utilizes the data based on criteria specified by an entity and configured to track and post changes to the model or data to a ledger of the blockchain according to the smart contract and configured to generate encrypted keys to enable the entities to exchange the tracked changes to the model or data and to exchange an updated model.

US Patent:

20200050706, Feb 13, 2020

Filed:

Aug 13, 2018

Appl. No.:

16/102167

Inventors:

- Armonk NY, US
FANG WANG - WESTFORD MA, US
SU LIU - AUSTIN TX, US
JEFFREY A. CALCATERRA - CHAPEL HILL NC, US

International Classification:

G06F 17/30
G06K 9/00
G09B 19/00

Abstract:

A method, computer system, and computer program product for expanding phenological data resources by collecting phenological data from social media sites are provided. The embodiment may include determining one or more species of plants or animals from a plurality of data shared on social media sites. The embodiment may also include extracting phenological information related to the determined plants or animals. The embodiment may further include validating the phenological information against known or already validated information received from crowd source phenological information or a plurality of ecological and biological databases. The embodiment may further include cataloging the validated and filtered phenological information according to a list selected from a group consisting of species, locations, biological or ecological characteristics. The embodiment may also include generating reports related to the cataloged phenological information utilizing plant image analysis, object identification analysis or user satisfaction analysis.

US Patent:

20190271563, Sep 5, 2019

Filed:

Mar 2, 2018

Appl. No.:

15/910602

Inventors:

- Armonk NY, US
Fang Wang - Westford MA, US
Su Liu - Austin TX, US
Cheng Xu - Beijing, CN

International Classification:

G01C 23/00
G06F 17/30
G01W 1/02
G01W 1/10

Abstract:

A wind forecasting system configured to generate forecasted wind conditions for a time interval based on wind data derived from flight log data collected from a plurality of aerial vehicles operating in a first area. The forecasted wind conditions can be used by an aerial route management system to generate a flight plan for an aerial vehicle from a start location to an end location in the first area during the time interval.