Processing

Please wait...

Settings

Settings

Goto Application

1. WO2020117680 - CROSS-SENSOR PREDICTIVE INFERENCE

Publication Number WO/2020/117680
Publication Date 11.06.2020
International Application No. PCT/US2019/064019
International Filing Date 02.12.2019
IPC
G06Q 10/04 2012.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
10Administration; Management
04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
CPC
G05B 13/048
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
13Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
02electric
04involving the use of models or simulators
048using a predictor
G06F 16/212
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
20of structured data, e.g. relational data
21Design, administration or maintenance of databases
211Schema design and management
212with details for data modelling support
G06F 16/24573
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
20of structured data, e.g. relational data
24Querying
245Query processing
2457with adaptation to user needs
24573using data annotations, e.g. user-defined metadata
G06F 16/24578
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
20of structured data, e.g. relational data
24Querying
245Query processing
2457with adaptation to user needs
24578using ranking
G06F 16/2458
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
20of structured data, e.g. relational data
24Querying
245Query processing
2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
G06F 16/248
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
20of structured data, e.g. relational data
24Querying
248Presentation of query results
Applicants
  • DSI DIGITAL, LLC [US]/[US]
Inventors
  • HUGHES, Anthony Mitchell
  • BIRRING, Prince Pal
Agents
  • BALTICH, Dane A.
  • COOPER, Jason P.
  • DRAPER, Aden R.
  • KELLY, Christopher B.
  • LIGHTNER, Christopher P.
  • MCKENDRICK, Tyler J.
  • O'CONNOR, Daniel J.
  • SHOGHI, Pooya
  • ZHANG, Ying
Priority Data
16/699,83802.12.2019US
62/774,56903.12.2018US
62/774,57303.12.2018US
62/774,57903.12.2018US
62/774,60203.12.2018US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) CROSS-SENSOR PREDICTIVE INFERENCE
(FR) INFÉRENCE PRÉDICTIVE INTER-CAPTEURS
Abstract
(EN)
There is a need for solutions for efficiently and reliably perform sensor-based predictive data analysis. This need can be addressed by, for example, solutions for performing cross-sensor predictive data analysis. In one example, a method for performing cross-sensor predictive data analysis includes identifying sensor input data objects comprising one or more image data objects; determining sensor feature data objects based on the sensor input data objects; generating predictions for a target predictive entity associated with the sensor input data objects by processing the sensor feature data objects using a cross-sensor predictive inference model; and performing prediction-based actions based on the cross-sensor predictions.
(FR)
L'objectif de l'invention est de fournir des solutions permettant d'effectuer, de manière efficace et fiable, une analyse prédictive de données basée sur un capteur. À cet effet, l'invention concerne par exemple des solutions permettant d'effectuer une analyse de données prédictive inter-capteurs. Dans un exemple, un procédé permettant d’effectuer une analyse de données prédictive inter-capteurs consiste à : identifier des objets de données d'entrée de capteur comprenant un ou plusieurs objets de données d'image ; déterminer des objets de données de caractéristiques de capteur d’après des objets de données d'entrée de capteur ; générer des prédictions pour une entité prédictive cible associée aux objets de données d'entrée de capteur en traitant les objets de données de caractéristiques de capteur à l'aide d'un modèle d'inférence prédictive inter-capteurs ; et effectuer des actions basées sur des prédictions d’après les prédictions inter-capteurs.
Also published as
Latest bibliographic data on file with the International Bureau