Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for providing information via collected and stored metadata using inferred attentional model

A technology of attention model and metadata, applied in the field of communication network, can solve the problems such as the limited ability of traditional vehicles to innovate user or operator experience

Inactive Publication Date: 2019-06-18
兹沃公司
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] A disadvantage associated with traditional cars or vehicles is that the vehicle often makes some decisions with limited knowledge of the situation or environment in which it operates
Also, traditional vehicles have limited ability to innovate the user or operator experience

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for providing information via collected and stored metadata using inferred attentional model
  • Method and system for providing information via collected and stored metadata using inferred attentional model
  • Method and system for providing information via collected and stored metadata using inferred attentional model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] An embodiment of the invention described herein is a method and / or apparatus for facilitating the use of an IA model continuously trained by a virtuous cycle through an inferred attention system ("IAS"). Detection of operator attention, where the virtuous cycle includes cloud-based networking, containerized sensing devices, and a machine learning center ("MLC").

[0032] The purpose of the following detailed description is to provide an understanding of one or more embodiments of the invention. Those of ordinary skill in the art will appreciate that the following detailed description is illustrative only and is not intended to be limiting in any way. Other embodiments will be apparent to those skilled in the art having the benefit of this disclosure and / or description.

[0033] In the interest of clarity, not all of the routine features of the implementations described herein are shown and described. Of course, it should be understood that when developing any such act...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A method and / or system is able to improve vehicle safety via metadata extraction by an inferred attentional ("IA") model trained by a virtuous cycle containing sensors, machine learning center ("MLC"), and cloud based network ("CBN"). In one aspect, the system includes a set of outward facing camera, inward facing cameras, and vehicle onboard computer ("VOC"). The outward facing cameras collect external images representing a surrounding environment in which the vehicle operates. The inward facing cameras collect internal images including operator facial expression representing at least operator's attention. The VOC is configured to identify operator's attention in response to the collected internal images and the collected external images.

Description

[0001] priority [0002] This application claims the benefit of priority based on U.S. Provisional Patent Application Serial No. 62 / 372,999, filed August 10, 2016, and entitled "Methods of Providing Information Using Collected and Stored Metadata and System", which is hereby incorporated by reference in its entirety. technical field [0003] Exemplary embodiments of the invention relate to the field of communication networks. More specifically, exemplary embodiments of the present invention relate to operating intelligent machines using a virtuous cycle between the cloud, machine learning, and Containerized Sensors. Background technique [0004] With the increasing popularity of automation and smart electronic devices such as computerized machines, the Internet of Things (IoT), smart vehicles, smartphones, drones, mobile devices, aircraft, artificial intelligence (“AI”), smart machines The demand for and faster real-time response is increasing. In order to properly delive...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): B60K28/02B60W40/08B60W50/14B60W40/02G08B21/18G08B3/10G08B5/22G06F11/00G06N20/00
CPCG01C21/3602G08G1/0116G08G1/096811G08G1/096861G08G1/0969H04W4/02H04L67/10H04W4/44G06N3/08G06N20/00G08G1/0112G08G1/0129G08G1/04G08G1/096888G08G1/143H04N7/188G06F3/013G01S19/485G06N3/045G05D1/0214G05D1/0246G08B21/06G06V20/597G06V10/95G06V20/56G06V20/58G06V20/59G06V20/586G06V20/588G06V40/19G06V40/171G06V2201/10B60Q9/008G08G1/166B60R1/04B60R1/062B60R2300/105B60R2300/8006G01C21/3605
Inventor J·P·科德尔R·V·韦兰S·J·麦可卡尔维J·H·路德维希
Owner 兹沃公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com