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Vehicle access control creates major automotive biometrics market opportunity


automotive biometrics

Biometrics are expected to be a main driver of the vehicle access control market to an estimated CAGR of 11 percent through 2025. Increased sales of passenger and light commercial vehicles, and technologically advanced systems deployed in automobiles will be factors, but also vehicle theft rates in the U.S. and the UK, according to a report by Mordor Intelligence. In the U.S. alone, there were 748,841 vehicles stolen in 2018, while in the UK thefts have gone up from 71 cars to 115 cars out of every 1,000.

An analysis of key market trends reveals the biometric segment is estimated to claim the highest market share due to the advantages provided for passenger vehicles and locking systems, which can no longer be stolen by criminals. Premium car manufacturers are adopting biometric technology to enhance car security, given the high accuracy provided.

Earlier this year, for example, automotive biometrics and sensing technologies were implemented by Hyundai, Cadillac, ADI, Yandex, and NXP. Hyundai Mobis invested $5 million to integrate facial biometrics from Chinese startup Deep Glint.

The highest CAGR in the vehicle access control market will be registered in Asia-Pacific, following high production and demand for automobiles in the region, specifically in India.

The vehicle access control market has a number of notable players competing over market share, including Continental AG, Robert Bosch, Denso and Valeo. In January 2019, Bosch launched a keyless digital access service that lets users turn a smartphone into a virtual key and use Bluetooth for data transmission.

Another report by Lucintel titled “Automotive Biometric Market: Trends, Forecast and Competitive Analysis” predicts major global opportunities for automotive biometrics in passenger car, light commercial vehicles, and electric vehicle markets. By 2024, the automotive biometric market is expected to grow with a CAGR of 25 percent. The growth will be driven by security concerns, and increased use of multifactor authentication, biometric identification and legislation concerning biometric identification systems.

The 150-page report aims to help companies understand the benefits and industry players, to make informed business decisions. The study analyzes the market by technology, by sensor, by processing component, by application, by wearable, by end use, and by region. In terms of technology, it looks at fingerprint, voice, iris, facial, gesture, and multimodal, while in terms of application it analyzes biometric vehicle access systems, engine start-stop systems, driver fatigue and drowsiness monitoring system, eye tracking and blink monitoring, facial expressions and head movements, heart rate monitoring, memory steering, memory seats and infotainment systems.

Some of the biometric companies discussed in this report include Hitachi, FUJITSU, Synaptics, Nuance Communications, Methode Electronics, HID Corporation/Assa ABLOY, VOXX International, Fingerprint Cards, Voicebox Technologies, Robert Bosch, Continental, and Valeo.

OctiLock launches fingerprint recognition steering wheel lock

One company directly addressing the vehicle theft problem is OctiLock, which has developed a physical lock it says features military-grade security, and a 508 DPI, high resolution fingerprint scanner, according to autoevolution.

The device also includes smartphone unlocking and can send an alert to the vehicle-owner’s mobile device while sounding a 100db alarm if someone attempts to tamper with it. It includes a lithium-ion battery the company says lasts over 6 months, and is made from a heat-treated alloy steel casing. OctoLock’s Indiegogo campaign has raised just under 1 percent of its goal so far.

XPT files motion-based facial recognition patent

Shanghai XPT Technology, also known as Shanghai Weilan and a subsidiary of NIO, has filed a patent application for a motion-based facial recognition system, according to the National Intellectual Property Administration (CNIPA), Gasgoo reports. The company filed for the patent for an apparatus, system and method of motion-based facial recognition in June last year. With a database, a camera and a processing unit, the system analyzes facial motions and uses video to create a predetermined profile for comparison to further verify facial motion.

HiPhi, Mercedes Benz, Subaru Forester introducing facial recognition

Vehicle company HiPhi, part of Human Horizons, has introduced facial recognition and the first NT Door system for touch-free entry on its HiPhi X, a new entry system for its premium automotive segment which is to be officially released at the 2020 Beijing Auto Show, the company announced.

Owners can open their car through facial recognition, smart key, smartphone ID and can also use the HiPhi app for remote unlocking.

A self-learning supercar, HiPhi X has implemented a Human Oriented Architecture (HOA), which consists in six “super brain” domain controllers, connected by 1G Ethernet, over 500 sensors, and a 5G-V2X technology network.

The HiPhi X has a Level 3 autonomous driving capability and also includes Programmable Matrix Lighting (PML), Intelligent Signal Display (ISD), a theatre-style co-pilot screen and leading technologies for a unique user experience.

The New Mercedes-Benz S-Class is the latest luxurious car released by the manufacturer equipped with five screens, biometric security, and facial recognition for greater comfort. The user can change the active ambient lighting and soundscapes depending on mood, and the car will comply.

Subaru Forester 2.0XE Premium Lineartronic now uses biometric facial recognition to monitor the driver’s face and eyes to ensure the person is not falling asleep, Wales 247 reports. Exterior cameras and sensors are also included to ensure the car is on course.

StradVision partners with Socionext

StradVision has partnered with System-on-Chip (SoC) solution developer Socionext to make its deep learning-based camera perception software SVNet globally available, the company announced.

Under the partnership, the companies will deliver object recognition technology with software and hardware specialized for deep learning to the Advanced Driver Assistance Systems (ADAS) and autonomous driving markets. Vehicles will be able to detect and recognize different objects on the road in any weather conditions.

“This collaboration allows us to optimize the integration of our perception software into SoC developed by Socionext, resulting in extremely stable software operation within vehicles,” Junhwan Kim, CEO of StradVision, said in a prepared statement. “SVNet running on Socionext’s SoC will be a great solution for the ADAS and autonomous markets where robust performance and safety are essential.”

SVNet has already been integrated in mass production models of ADAS and autonomous driving vehicles that support safety function Levels 2 to 4, and will be implemented in more than 8.8 million vehicles worldwide.

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