Future of mobile devices may go with computer vision

Computer vision and machine learning may play a role in the next evolution of mobile devices.

Raja Bala, Xerox principal scientist, demonstrates a camera system for highways that uses pattern recognition technology to detect if a driver is using a cell phone.

"Computer vision is making sense out of visual data. It involves capturing and using machine learning to make sense of it," Bala said. It's not quite an out of the box solution. There's a lot that takes place behind the scenes with training the machine-learning component of computer vision to understand objects and even faces.

Bala said that computer vision is the intelligent use of all the sensors on a smartphone. For example, a light sensor can be used to tell how much time someone is spending indoors versus outdoors. Other applications for computer vision include depression therapy, lighting correction in smartphone photography, and even an accelerator for monitoring your activity throughout the day.

Applications

The promise of computer vision and mobile devices could have an impact across healthcare, transportation, and retail. Here's a list of some typical applications of computer vision and mobile devices:

Wearable s and computer vision

Computer vision will play a part in the future of optical wearables (for example, Google Glass) especially in recognizing activities and interaction. Bala offered the following examples:

This video gives an overview of Xerox's Computer vision work:

via-techrepublic

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