Industry Expert Blogs

Computer vision promises to be the key to the next set of "killer apps"—computer vision-enabled apps that will leverage artificial intelligence to help keep us safer and healthier. But computer vision algorithms are compute- and power-intensive, and need to process large amounts of data. These barriers have limited their use to enterprise, line-powered devices and cloud-assisted mobile devices. The implementation of computer vision algorithms on mobile processors, where compute resources are limited and power consumption must be curtailed, is key to wider use.

One important computer vision technology, 3D sensing, will spread to 80 percent of smartphones by 2018, earning a total of $2 billion by 2020, according to market researchers. The Lenovo Phab 2 Pro smartphone, which hit the market in late 2016, is the world's first smartphone to include Tango, a 3D sensing technology from Google, enabling a variety of games, utilities, and retail applications. Behind this launch was an intensive effort by BDTI to optimize the complex and demanding Tango algorithms to run efficiently and in real time on the Qualcomm Snapdragon 652 processor that powers the Lenovo phone.

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