It is an activity that is highly unnecessary, seems harmless, yet leads to 1.6 million deaths every year in the U.S. Texting and driving. Despite various campaigns advising against it, people are still texting and driving, and it appears that the use of warnings and words still are not strong enough to make people put their phones away while behind the wheel. 

However, The Verge reveals that artificial intelligence is taking on yet another problem, which is introducing smart security cams that detects whether a person is texting and driving.

The technology is enabled by Movidius, a chip maker that is specialised in artificial intelligence and computer vision. It will allow the user to detect anything from a bag left at the airport to a stolen or crime-connected vehicle only by looking at its colour, shape and left bumper, despite the licence plate being covered.

Movidius can detect if someone is driving and texting when they should be watching the road, and potentially forwarding the information to law enforcement officials, that could eventually issue a ticket.

Its Myriad chip powered the spatial awareness of Google’s early Project Tango devices and the sense and avoid features inside DJI’s latest Phantom 4 drone. The company was recently acquired by Intel, and today announced that its Myriad chip is being added to devices Hikvision, one of the world’s largest sellers of internet-connected security cameras”, The Verge writes.

Movidius has done what many have struggled with before them, and that is applying deep learning to improve computer visions significantly, without overwhelming the smaller processors and batteries used on mobile devices.

“It’s specifically focused on computer vision, dubbing its Myriad chip a VPU, or vision processing unit. The name plays off the typical CPU you would find in a personal computer, or the GPU, graphic processing unit, you would find in a PC built for high-end gaming”, The Verge explains.

Due to a majority of the processing and image analysis being done on the device itself, the amount of data required to get transmitted back to either a central server or a human, is significantly less.

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