Dublin, Nov. 24, 2021 (GLOBE NEWSWIRE) -- The "Global Automotive Biometric Driver Identification Market Forecasts to 2030" report has been added to ResearchAndMarkets.com's offering.
Biometrics is the measure and analysis of how someone behaves. It can be applied for both verification and identification purposes. Biometric identification determines who the person is based on a measured biometric factor. There are a number of characteristics that can be used for biometric identification, including fingerprints, iris and facial geometry.
This exclusive report from ABOUT Automotive analyses the emerging and fast-growing global automotive biometrics driver identification market, providing intelligence on the main drivers, opportunities and challenges facing the sector. It also provides detailed regional and global forecasts across three biometric applications in cars, namely fingerprint, facial and iris recognition.
The scope of this report includes:
The current status of automotive biometrics:
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How will tomorrow's car use biometrics?
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What is happening - and in which cars?
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Why does it matter and what are the next steps?
Market opportunities of automotive biometrics:
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What is the market potential?
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How fast will the market grow for fingerprint, facial and iris recognition?
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What are the opportunities to create additional value of the driver-facing camera for digital commercial purposes?
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Is the automotive industry facing a biometric boom?
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What is the big picture?
Market challenges/concerns of automotive biometrics:
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What your car will know about you.
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Automotive biometrics and data collection laws: Are the biometrics stored? When, where, why and for how long?
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What are the implications for the car insurance industry?
Included in the report is coverage of 36 key players pushing back the technical boundaries in the automotive biometrics arena.
Key Topics Covered:
CHAPTER 1 AUTOMOTIVE BIOMETRICS: CURRENT STATUS
CHAPTER 2 NEXT STEPS FOR AUTOMOTIVE BIOMETRICS
2.1 Key points
2.2 Who is doing what?
CHAPTER 3 AUTOMOTIVE BIOMETRICS TIMELINE
CHAPTER 4 FINGERPRINT RECOGNITION
4.1 Key points
4.2 Applications
4.3 Benefits and challenges
CHAPTER 5 FACIAL RECOGNITION
5.1 Key points
5.2 Applications
5.3 Benefits of facial recognition
5.4 Challenges of facial recognition
CHAPTER 6 IRIS RECOGNITION & VOICE AUTHENTICATION
6.1 Key points
6.2 Iris recognition applications
6.3 Voice authentication applications
CHAPTER 7 GESTURE CONTROL
7.1 Key points
7.2 Gesture control technology
7.3 Applications
CHAPTER 8 BIOMETRICS IN AUTONOMOUS VEHICLES
8.1 Key points
8.2 Levels of automated driving