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顔認証の特許展開戦略:大手IT企業の場合

Face Recognition Patent Deployment Strategies of Major IT Brands

発行 MIC - Market Intelligence & Consulting Institute 商品コード 917105
出版日 ページ情報 英文 29 Pages
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1USD=110.06円で換算しております。
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顔認証の特許展開戦略:大手IT企業の場合 Face Recognition Patent Deployment Strategies of Major IT Brands
出版日: 2019年11月04日 ページ情報: 英文 29 Pages
概要

近年、顔認証技術と様々な関連技術 (生物学、心理学、パターン認識、画像処理/解析、マシンビジョン、AIなど) を連携させた新技術の開発が進みつつあります。その活用領域は非常に幅広く、家庭警備・アクセス管理・運転監視・決済機能・ATM・eコマース・HCI (ヒト・コンピュータ・インターフェース)・ID認証などにわたっています。

当レポートでは、世界/米国の顔認証関連の特許の出願状況について分析し、顔認証技術の概略や昨今の技術開発/普及動向、関連特許の出願件数の推移 (過去5年間分)、ブランド別 (企業別)・分野別・出願年度別の詳細動向、大手企業の技術開発/特許出願戦略、といった情報を取りまとめてお届けいたします。

第1章 技術の背景事情

  • 定義

第2章 特許ポートフォリオの展開状況

  • パテントマイニング
  • 特許分析
    • 分野別の分析
    • 特許件数シェア変化の分析:分野別
    • 分野別・出願年度別の分析
    • 分野別・企業 (ブランド) 別の分析
    • 技術別の分析
    • 技術別・出願年度別の分析
    • 技術別・企業別の分析
    • 用途別の分析
    • 用途別・出願年度別の分析
    • 大手IT企業20社の研究開発 (R&D) 密度の分析

第3章 MICの見解

付録

分析対象企業

  • Adobe Systems
  • Amazon Technologies
  • Apple
  • キヤノン
  • DigitalOptics
  • Eastman Kodak
  • Facebook
  • FotoNation
  • 富士フイルム
  • Google
  • Hewlett-Packard
  • Honeywell
  • IBM
  • Intel
  • LG
  • Microsoft
  • パナソニック
  • Qualcomm
  • Samsung
  • Son
図表

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
目次
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
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