Table of Content

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 Tables


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.