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Developments and Opportunities for Facial Recognition Technology in the Smart Retail, Transport, Financial Services, and Automotive Applications Industry

Published By :

Market Intelligence & Consulting Institute

Published Date : Oct 2018

Category :

Consumer Electronics

No. of Pages : 70 Pages

Facial recognition technology has been commercialized since the late 1990s. However, it did not quite get the attention it deserved until the September 11 attacks. Since then, market demand for advanced human-machine interaction interfaces soared in national security and personal property security in light of the rising awareness on anti-terrorism, the change in economic activities from traditional offline transactions to e-commerce and the lifestyle evolution which now craves for smart living. This report provides an overview of the facial recognition development in the smart retail, transport, financial services, and automotive application industry; examines advantages and disadvantages of the technology in the abovementioned industries; highlights the use cases and applications that have the highest growth potential in driving the implementation of facial recognition in these four industries.

Table of Contents

1.Introduction to Facial Recognition Technology 

2.The Retail Industry Has Strong Demand for Data While Transforming 
2.1 Transformation Underway 
2.2 Customer-centric Retail Model Needs Data Support 

3 Demand for Data Brings New Opportunities for Facial Recognition 
3.1 Winning Back Lost Consumers as the Start Point of a Consumer-centric Retail Model 
3.1.1 Execution is the Key 
3.2 Online Retailers Seize Potential Consumers with Retargeting (Data Analytics) 
3.2.1 Big Data Analytics as a Major Means for Retailers to Retarget Consumers 
3.3 Physical Retailers to Better Compete with E-commerce Retailers with More Precise Data via Facial Recognition 
3.3.1 Facial Recognition Makes Consumer Identity and Attribute Information Available 

4.Facial Recognition Reinforces Physical Retailers' Advantages and Reduce Disadvantages 
4.1 Facial Recognition Enhances In-store Shopping Experience 
4.1.1 Turn Shopping into an Experience 
4.1.2 Facial Recognition Helps Collect Consumer Behavior Data and Optimize Shopping Experience 
4.2 Facial Recognition Helps Physical Retailers Reduce Operation Costs
4.2.1 Data and Automation as Key to Effective Allocation and Reduction of Human Resources 
4.2.2 Data and Logistics as Key to Warehouse Inventory Management 

5.Mature Software and Hardware Systems Reduce Introduction Cost 
5.1 Enhancement in PC Performance and Maturity of Recognition Technology Drives Facial Recognition towards Commercialization 

6.Privacy a Stumbling Block to Facial Recognition 
6.1 Winning the Hearts of Consumers with Practical Benefits to Reduce Objection to Facial Image Collection 
6.2 Retailers' Brand Image Influences Consumers' Acceptance of Facial Recognition 

7.Application Cases of Facial Recognition Technology in Transport Industry 
7.1 Transport Management System 
7.1.1 Immigration Inspection: Automated Gate System at Japanese Narita Airport 
7.1.2 Crime Tracking: Security System at China’s Hohhot Railway Bureau 
7.2 Air Transport Industry 
7.2.1 Passage Management: KLM's Boarding System 
7.3 Land Transport Industry 
7.3.1 Crime Prevention: Uber’s Driver Verification System in the US 
7.3.2 Permission Management: Chinese Didi Chuxing’s Car Rental System 
7.4 Car and Automotive Electronics Industries 
7.4.1 Driver Alerts: Japanese Omron’s Driver Concentration Sensing Technology 
7.4.2 Behavior Analysis: German Bosch’s Concept Car 

8.Application of Facial Recognition in the Transport Industry 
8.1 Mainly Used in Public Transport and Infrastructure for ID Authentication Purposes 
8.2 Online Car-Hailing Service Providers Use Facial Recognition to Prevent Crimes 
8.3 Car Industry Widely Use Facial Recognition for Car Design 

9.Opportunities for Facial Recognition in the Transport Industry 
9.1 National Policies Accelerate the Adoption of Facial Recognition in Public Transport Worldwide 
9.1.1 Facial Recognition Leapfrogs Ahead as Iris and Fingerprint Recognition Fail to Meet Expectations 
9.1.2 ICAO’s Implementation Ensures Facial Recognition Development 
9.1.3 Adoption of Facial Recognition from Passports to e-Gate Systems is Progressively Done 
9.2 Smart Cars Create New Opportunity for Facial Recognition 

10.Use Cases of Facial Recognition Technology Application in the Financial Services Industry 
10.1 MasterCard Focuses on Increasing Consumption and Preventing Unauthorized Use 
10.2 China's Bank of Jiangsu Take Aims at Offering Convenient Withdrawal Service and Preventing Unauthorized Use 
10.3 Japan's Daiwa Securities Group Aims to Enhance Work Efficiency and Personal Information Protection 
10.4 China's Ping An Focuses on Shortening the Time for Credit Investigation and Lowering Loan Risks 
10.5 US HSBC Works on Accelerating Financial Services Process 
10.6 Japan's Mizuho Bank Take Aims at Marketing and Offering Customer Services 

11. Analysis on the Application Model of Facial Recognition Technology 
11.1 Identity Authentication is the Major Purpose of Facial Recognition Technology 
11.2 A Higher Proportion of Financial Services Industry in China Uses Facial Authentication 
11.3 Facial Authentication is Commonly Used for Staff Management in the Japanese Financial Services Industry 

12.Future Prospects of Facial Recognition Technology in the Financial Services Industry 
12.1 Fintech is Major Growth Enabler but It Does Not Particularly Favor Facial Authentication 
12.2 Consolidating Facial Recognition Technology into Mobile Devices is Key 
12.2.1 Vein Authentication is Mainly Used in ATM Machines. Iris and Facial Authentication are Joining the Game in Recent Years. 
12.2.2 Smartphones have Become Major Means in Financial Services Development; Vein Authentication and Facial Authentication Have Great Potential 

13.Development of Facial Recognition Technology for Automobiles 
13.1 Widespread Use of Biometric Technologies in Automotive Applications 
13.2 Smart Cars Bringing New Opportunities for Facial Recognition 

14. Development of Facial Recognition Patent Applications 
14.1 Patent Search 
14.2 Trends in Patent Applications 
14.2.1 US and Japan Jointly Hold Over 80% of USPTO Patent Grants 
14.2.2 Majority of Assignees are Automobile Vendors 
14.Development Trends of Facial Recognition Technology and Application Areas 
14.1 Applications Focus Mainly on Facial Detection 
14.2 Majority of Patent Grants are for Security Purposes 
14.2.1 60% of Patent Grants Are on Driving Safety Enhancement 
14.2.2 Driver’s Attention Level is Enhanced 
14.2.3 Potential Causes of Distracted Driving is Reduced 
14.2.4 System Operation Enhancement as Another Key Development Focus 
14.3 Other Applications 
14.3.1 Entertainment 
14.3.2 Employee Performance or Insurance Fee Assessment for Private Companies 
MIC Perspectives 

Glossary of Terms 
List of Companies 

List of Table

Table 1 Facial Recognition Applications in the Transport Industry Worldwide 
Table 2 National Policies and Programs for Biometric Identification Systems 
Table 3 Automotive Product Manufactures and Their Biometric Technology
Table 4 Case of Facial Recognition Technology in Financial Services Industry 
Table 5 Biological Feature Recognition in Financial Services Industry 
Table 6 Iris and Facial Recognition Technology for ATM Machines
Table 7 Biometric Recognition Technologies Adopted in Automotive Industry 
Table 8 Patent Search Settings and Results 

List of Chart

Figure 1 Applications of Facial Recognition Technology 
Figure 2 Renting Process of DiDi Car Rental 
Figure 3 Omron’s Driver Concentration Sensing Technology 
Figure 4 Facial Recognition Procedures of MasterCard Online Payment 
Figure 5 Ten Plans Proposed by the Financial Supervisory Commission R.O.C (Taiwan) for Fintech Development 
Figure 6 Distribution of Facial Recognition Patent Grants by Country of Origin 
Figure 7 Distribution of Patent Grants by Assignee 
Figure 8 Major Purposes of Facial Recognition for Automotive Applications 
Figure 9 Steps in the Facial Recognition Process 57
Figure 10 Facial Recognition Patents for Automotive Applications by Technology Type 
Figure 11 Facial Recognition Patents for Automotive Applications by Application (Excluding Law Enforcement Applications in Public Sectors or Business Applications in Private Sectors) 
Figure 12 Patent Title: Sensing and Managing Vehicle Behavior Based on Occupant Awareness 
Figure 13 Patent Title: Adjusting Speakers Using Facial Recognition Technology 

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