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Ford and Intel demonstrate in-car personalization with perceptual computing; Project Mobii

26 June 2014

Ford and Intel are researching new opportunities for the connected car, including giving drivers the ability to remotely peer into their car using a smartphone, or a vehicle that could identify its owner using facial recognition software. The joint research project, called Mobile Interior Imaging, or Project Mobii, explores how interior-facing cameras could be integrated with sensor technology and data already generated within and around the vehicle to create a more personalized and seamless interaction between driver and vehicle that transforms the driving experience.

The Mobii research, which was showcased during the Go Further with Ford 2014 Trend Conference as part of the “Big Data” track this week in Dearborn, was a collaboration between Intel ethnographers, anthropologists and engineers alongside Ford research engineers. Mobii incorporates perceptual computing technology (now named RealSense by Intel) to offer a more enjoyable and intuitive vehicle experience.

Our goal with the Mobii research is to explore how drivers interact with technology in the car and how we can then make that interaction more intuitive and predictive. The use of interior imaging is purely research at this point; however, the insights we’ve gained will help us shape the customer experience in the long-term.

—Paul Mascarenas, chief technical officer and vice president, Ford Research and Innovation

Ford now uses exterior vehicle cameras for driver-assist features such as lane-keeping assist and lane departure warning. The Mobii research examines new applications for interior cameras, including driver authentication. The use of facial recognition software offers improved privacy controls, and enables Project Mobii to identify different drivers and automatically adjust features based on an individual’s preferences.

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Upon entering the vehicle, the driver is authenticated by Project Mobii through a front-facing camera using facial software recognition. The in-car experience is then personalized to display information specific to that driver, such as calendar, music and contacts. If Project Mobii detects a passenger in the car, a privacy mode activates to display only navigation.

If Project Mobii does not recognize the driver, a photo is sent to the primary vehicle owner’s smartphone. That owner can then set permissions and specify features that should be enabled or disabled. If the driver is the child of the vehicle owner, for example, restrictions could be automatically set to require safety belt use and to limit speed, audio volume or mobile phone use while driving.

Gesture recognition software enables intuitive interaction for the driver. A combination of natural gestures and simple voice commands can simplify such tasks as turning the heat up and down, or opening and closing a sunroof while driving.

Intel RealSense. The Intel Perceptual Computing SDK (software development kit) is a library of pattern detection and recognition algorithm implementations exposed through standardized interfaces. The library aims to lower barriers to using these algorithms and shift the application developers’ focus from coding the algorithm details to innovating on the usage of these algorithms for next generation human-computer experience.

The Intel Perceptual Computing SDK supports different modules related to speech; facial tracking; and close-range tracking which includes finger tracking, hand tracking, gestures, and 2D/3D object tracking.

The Intel Perceptual Computing SDK 2013 is evolving into the Intel RealSense SDK to support the Intel RealSense 3D Camera and new features highlighted at the 2014 CES.

June 26, 2014 in Connected vehicles, Driver Assistance Systems, Safety, Vehicle Systems | Permalink | Comments (0) | TrackBack (0)

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