Biometric tech for cars unveiled as market forecast to exceed $300M in 5 years
Several biometrics companies and automakers have announced new research or technologies for connected cars, as the market continues to heat up.
Autonomous vehicle vision processing provider StradVision has announced that the company’s algorithm engineer Dr. Bong-Nam Kang has received the Best Paper Award at CVPR 2019 from among 1,200 entries as part of the IEEE Computer Society Biometrics Workshop.
Kang also presented his paper on “Hierarchial Feature-Pair Relation Networks for Face Recognition” at the workshop. The paper examines how deep learning-powered in-vehicle camera software can determine necessary changes to vehicle operation by analyzing the driver’s unique facial characteristics. The research will be applied to StradVision’s Driver Monitoring System to improve driver and passenger safety, the company says.
“I appreciate all the recognition of my research,” Kang said after receiving his award. “As self-driving cars become more prominent, it’s critical that deep-learning potential such as learning from facial recognition is maximized to reach peak safety levels.”
Karma concept car
American auto manufacturer Karma showed its SC1 Vision concept car with speech recognition and biometric driver and passenger authentication for the first time in North America at the Pebble Beach Concours d’Elegance, autoevolution reports.
The autonomous electric car with eight radars, six Lidar sensors, six external cameras and an interior dominated by two large screens was first shown at the Shanghai Auto Show.
Edge biometrics from Foghorn and Porsche
Software developer Foghorn and Porsche have developed a multi-factor authentication prototype with real-time facial recognition and edge analytics for improved auto security, RTInsights reports.
The combined video analytics and edge computing system was revealed at the Startup Autobahn expo, and uses the driver’s smartphone as a physical token, along with an on-board infrared facial biometrics system, to prevent car theft. Processing most data locally is considered critical for the development and acceptance of autonomous vehicles to avoid problems in the case of a bandwidth crunch or blackout, according to the report.
Market to pass $300M by 2024
The global market for automotive biometric identification is forecast to grow from $138 million in 2019 to $303 million by 2024, a 17 percent CAGR, according to a new report from TechSchi Research.
The report shows luxury car sales, vehicle theft and advancements in auto security systems driving facial recognition’s dominant market position. Increasing adoption of artificial intelligence and cloud connectivity for vehicles are also expected to boost the market.
TechSci also considers fingerprint, iris, voice, and multimodal recognition, and looks at the market by sensor type, vehicle type, and region, and reviews the market’s competition and opportunities. Market players examined include Continental AG, Robert Bosch GmbH, Fujitsu, OSRAM Licht AG, Synaptics, Precise Biometrics, Nuance Communications, and Fingerprints Cards.