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Automotive biometrics market forecast for $329B in 2027 as computer vision technology advances

Ford partners with Mobileye, researchers refine VCSELs for autonomous driving

biometric car technology

The automotive biometric identification market will reach a market value of $329 billion by 2027 on a 10.1 percent compound annual growth rate, according to a report from Acumen Research and Consulting, as the way drivers and passengers interact with vehicles changes.

The report breaks down the market by modality, considering voice, facial, fingerprint and iris recognition plus multimodal identification and gesture recognition, as well as by sensor type, component, application, and vehicle type over 190 pages.

Increasing integration of AI and advanced technologies to enhance in-vehicle experiences are driving the market, along with the development of autonomous vehicles. Data security concerns and costs could restrain the market, however.

The ‘Automotive Biometric Driver Identification System Market: Trends, Forecast and Competitive Analysis’ from Lucintel suggests a 24 percent CAGR from 2019 to 2024, likewise suggesting growing demand for connected and autonomous vehicles as a growth factor. Other drivers identified by Lucintel include increasing use of smartphones to interact with vehicles, and demand for data-driven services.

The 150-page report considered the market by fingerprint, iris or facial biometrics, application, end use and region.

Mobileye to provide computer vision for Ford autonomous driving features

Ford has committed to using system-on-chip devices and vision processing software from Intel autonomous driving subsidiary Mobileye to support its automated steering, acceleration and breaking systems and its planned hands-free driving feature, ZDNet reports.

The companies are already partners, but now Ford has agreed to use Mobileye technology for a full lifecycle of its Ford Co-Pilot360 and Active Drive Assist technologies. The latter will be featured in the new Mustang Mach-E and the new F-150.

Ford Co-Pilot360 is being improved with Mobileye computer vision solutions for Level 1 and Level 2 automation systems. The auto-maker may also adopt Mobileye’s Roadbook system, which provides crowd-sourced data from other vehicles to create high-definition maps.

The Mobileye logo will be included in Ford’s SYNC driver-assistance communication displays,

ZDNet suggests that Ford is a serious player in the autonomous driving market, based on an analysis by Navigant Research.

Mobileye’s revenue was up 22 percent year-over-year in Intel’s latest financial report, at $254 million.

Illinois researchers work to refine VCSEL technology for face biometrics, autonomous vehicles

John Michael Dallesasse, a professor at the University of Illinois Urbana-Champaign’s Grainger College of Electrical & Computer Engineering is looking into how to improve Vertical-Cavity Surface-Emitting Lasers, or VCSELs, for applications like facial recognition and autonomous vehicle systems, according to an article by the College.

“VCSELs are a type of device that are seeing broad use in a growing number of applications,” Dallesasse says. “They are being looked at for use in self-driving cars that utilize LIDAR, and are already extensively used in the fiber optic networks of large data centers.”

Specifically, Dallesasse and several of his students are researching ways to improve the optical beam that is emitted by a VCSEL. If successful, the VCSEL technology could benefit smartphones, 3D imaging, gesture recognition and a range of other applications in which the optical beam’s quality is a factor. The technique could also be applied to signal modulation techniques for high-speed data transfer.

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