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Face Recognition Patent Deployment Strategies of Major IT Brands (pre-order)

November 04, 2019 / David Chen

29 Page, Topical Report

US$1,800 (Single User License)

※This pre-order report can be delivered in 5-7 business days after payment

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 Topics
Background of face recognition technology

Analysis of face recognition patent counts by field, by technology, by application for the 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.

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
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

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, Sony

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