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Development of Apple's Facial Recognition Technology and Products

  • ID: 4426468
  • Report
  • November 2017
  • Region: Global
  • 22 pages
  • Market Intelligence & Consulting Institute (MIC)
1 of 5


  • Apple
  • Emotient
  • Google
  • HP
  • Linx
  • Perceptio
  • MORE

Smartphones with a facial recognition feature have become trendy for leading vendors in recent years. As a landmark in the development of specifications and technologies of smartphones, Apple has demonstrated its ambition in facial recognition by acquiring seven companies in this field during the period 2010-2017. This report discusses the trends of Apple's facial recognition products by analyzing its patent applications and the core technologies it has acquired over the years.

List of Topics:

  • Development of facial recognition technology now and then, touching on its key technology development and features
  • Outline of facial recognition technologies adopted by Apple for the period 2009-2017 and includes the analysis of company's facial recognition patent portfolios and deployment strategies
  • Analysis of Apple's acquisitions of facial recognition companies and the application over the years, including Polar Rose, Real Face, PrimeSense, Faceshift, Emotient, Perceptio, Turi, and LinX
Note: Product cover images may vary from those shown
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  • Apple
  • Emotient
  • Google
  • HP
  • Linx
  • Perceptio
  • MORE

1. Development Trends of Facial Recognition Technology
1.1 Facial Recognition Technology Development
1.1.1 Enhanced Computing Performance and Maturity of Big Data Analytics Fuel Facial Recognition Development
1.2 Accuracy and Instantaneity as Key Features of Facial Recognition
1.2.1 3D Facial Recognition for the Future

2. Facial Recognition Technologies Adopted by Apple

3. Apple's Facial Recognition Patent Portfolios
3.1 Aggressive Development after 2009 with Early Patents Acquired Externally
3.2 Application-based Patents Account for 55% with Focus on Multimedia
3.3 Face Detection Accounts for Major Share of Patents with Most Recognition Technologies Acquired Externally
3.4 Device Access Control as Next Key Focus

4. Acquisition of Facial Recognition Companies
4.1 Polar Rose and RealFace: Facial Recognition Algorithms
4.1.1 Polar Rose: 3D Facial Recognition
4.1.2 RealFace: Real-time Recognition
4.2 PrimeSense: 3D Face Capture
4.3 Faceshift and Emotient: Facial Expression and Emotion Analysis
4.4 Perceptio and Turi: Fundamental AI Technologies
4.5 LinX: Micro-image Sensor

5. Conclusion


List of Figures
Figure 1 Facial Recognition Process
Figure 2 Apple Products with Facial Recognition Technology
Figure 3 Apple's Clips App Launched in 2017 Come with Facial Recognition
Figure 4 Apple's Granted Patents Related to Facial Recognition, 2001 - 2015
Figure 5 Apple's Facial Recognition Patent Share by Technology
Figure 6 Facial Recognition Companies Acquired by Apple
Figure 7 PrimeSense's Light Coding Technology and Product Structure

Note: Product cover images may vary from those shown
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4 of 5
  • Apple
  • Eastman Kodak
  • Emotient
  • Faceshift
  • Google
  • Ground Truth Vision
  • HP
  • ImageID
  • Linx
  • Microsoft
  • Perceptio
  • Polar Rose
  • PrimeSense
  • RealFace
  • Tur
Note: Product cover images may vary from those shown
5 of 5

Primary research with a holistic, cross-domain approach

The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.

Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:


  • Component supplier interviews
  • System supplier interviews
  • User interviews
  • Channel interviews
  • IPO interviews
  • Focus groups
  • Consumer surveys
  • Production databases
  • Financial data
  • Custom databases


  • Technology forecasting and assessment
  • Product assessment and selection
  • Product life cycles
  • Added value analysis
  • Market trends
  • Scenario analysis
  • Competitor analysis