市場調查報告書

臉部認證的專利展開策略:大IT企業的情況

Face Recognition Patent Deployment Strategies of Major IT Brands

出版商 MIC - Market Intelligence & Consulting Institute 商品編碼 917105
出版日期 內容資訊 英文 29 Pages
商品交期: 最快1-2個工作天內
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臉部認證的專利展開策略:大IT企業的情況 Face Recognition Patent Deployment Strategies of Major IT Brands
出版日期: 2019年11月04日內容資訊: 英文 29 Pages
簡介

近幾年,臉部認證與各相關技術 (生物學,心理學,模式認識,影像處理/分析,機械視覺,AI等) 連結的新技術正進行開發。其有效利用領域非常廣泛,涵蓋家庭安全、訪問管理、駕駛監視、付款功能、ATM、電子商務、HCI (人、電腦、介面)、ID認證等。

本報告提供世界/美國的臉部認證相關的專利的申請情形相關分析,臉部認證技術的概要和近來的技術開發/普及趨勢,相關專利的申請數量的變化 (過去5年份),各品牌 (各企業)、各領域、各申請年度詳細趨勢,大企業技術開發/專利申請策略等資訊彙整,為您概述為以下內容。

第1章 技術的背景情況

  • 定義

第2章 專利組合的發展情形

  • 專利探勘
  • 專利分析
    • 各領域分析
    • 專利數量佔有率變化分析:各領域
    • 各領域、各申請年度分析
    • 各領域、各企業 (品牌) 分析
    • 各技術分析
    • 各技術、各申請年度分析
    • 各技術、各企業分析
    • 各用途分析
    • 各用途、各申請年度分析
    • 20家大IT企業的研究開發 (R&D) 密度分析

第3章 MIC的見解

附錄

分析對象企業

  • Adobe Systems
  • Amazon Technologies
  • Apple
  • Canon
  • DigitalOptics
  • Eastman Kodak
  • Facebook
  • FotoNation
  • Fujifilm
  • Google
  • Hewlett-Packard
  • Honeywell
  • IBM
  • Intel
  • LG
  • Microsoft
  • Panasonic
  • Qualcomm
  • Samsung
  • Son
目錄
Product Code: NARPT19110401

Abstract

Face recognition combines knowledge and techniques in biology, psychology, pattern recognition, image processing, image analysis, machine vision, AI (Artificial Intelligence), and can be widely used in a broad range of application scenarios such as home security, access control, driving monitoring, face payment, ATM, e-commerce, human-computer interaction, medical diagnosis, and identity verification. In recent years, it has attracted several international brands such as Microsoft, Amazon, IBM, Google, Intel, Apple, Facebook, Sony, and Samsung to invest in face recognition technology solutions and develop relevant applications. This report outlines key areas of face recognition patents granted by the USPTO (United States Patent and Trademark Office) and examines patent deployment strategies of 20 major IT brands which focus on face recognition technology.

Table of Contents

1. Technology Background

  • 1.1 Definition

2. Patent Portfolio Deployment

  • 2.1 Patent Mining
  • 2.1 Patent Analysis
    • 2.1.1 Analysis by Field
    • 2.1.2 Analysis of Change in Patent Count Share by Field
    • 2.1.3 Analysis by Field by Application Year
    • 2.1.4 Analysis by Field by Brand
    • 2.1.5 Analysis by Technology
    • 2.1.6 Analysis by Technology and Application Year
    • 2.1.7 Analysis by Technology by Brand
    • 2.1.8 Analysis by Application
    • 2.1.9 Analysis by Application by Application Year
    • 2.1.10 Analysis of 20 Major IT Brands’ R&D Intensity

3. MIC Perspective

Appendix

  • Glossary of Terms
  • List of Companies

List of Tables

  • Table 1 Analysis of Change in the US Face Recognition Patent Count Share by Field, 2014-2018
  • Table 2 Analysis of US Face Recognition Patent Counts by Field by Application Year
  • Table 3 20 Major IT Brands and Their Face Recognition Patent Counts by Field
  • Table 4 US Face Recognition Patent Count Share by Technology
  • Table 5 Analysis of US Face Recognition Patent Counts by Technology by Application Year
  • Table 6 20 Major IT Brands and Their US Face Recognition Patent Counts by Technology
  • Table 7 US Face Recognition Patent Count Share by Application
  • Table 8 US Face Recognition Patent Counts by Application by Application Year

List of Figures

  • Figure 1 US Face Recognition Patent Count Share by Field
  • Figure 2 20 Major IT Brands and Their R&D Intensity Associated with Face Recognition Technology

List of Topics

Background of face recognition technology

Analysis of face recognition patent counts by field, by technology, by application forthe period 2014-2018

Analysis of face recognition patent deployment strategies of 20 major IT brands, including Facebook, HP, Qualcomm, Panasonic, Adobe Systems, LG, Apple, DigitalOptics, Honeywell, Fujifilm, Eastman Kodak, Amazon, Intel, Canon, IBM, Samsung, Sony, Google, Microsoft, and FotoNation and includes the assessment of their R&D intensity.

Companies covered

  • Adobe Systems
  • Amazon Technologies
  • Apple
  • Canon
  • DigitalOptics
  • Eastman Kodak
  • Facebook
  • FotoNation
  • Fujifilm
  • Google
  • Hewlett-Packard
  • Honeywell
  • IBM
  • Intel
  • LG
  • Microsoft
  • Panasonic
  • Qualcomm
  • Samsung
  • Son
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