Intel acquires AI specialist Movidius to build the future of computer vision

Intel Technologies has acquired computer vision startup Movidius to enhance its computer vision capabilities and further augment RealSense platform’s development strategy. For Intel, the AI specialist company is a way to get high-speed, low-power chips that can power RealSense cameras in devices that need to see and understand the world around them.

The Chipmaker has recently started making a foray into AI segment by acquiring solution providers and manufacturers to build out its own groundbreaking technologies. Before Movidius, it acquired machine learning startup Nervana Systems for $400 million. Also, recently the company unveiled its 7th generation ‘Kaby Lake‘ processors, built specifically to provide an immersive graphics experience.

Movidius has already provided the brains behind gadgets like drones and thermal cameras, many of which are a logical fit for Intel's depth-sensing tech - and its deals with Google and Lenovo give nothing to sneeze at, either.

According to Josh Walden, senior VP and GM of Intel’s New Technology Group, “We see massive potential for Movidius to accelerate our initiatives in new and emerging technologies. The ability to track, navigate, map and recognize both scenes and objects using Movidius’ low-power and high-performance SoCs opens opportunities in areas where heat, battery life and form factors are key.”

He further adds that Movidius’ computer vision powered SOCs complement Intel’s own RealSense offerings, and their broader IP rights and product roadmap. His dialogue is supported by Movidius CEO Remi El-Ouazzane who is very excited about the acquisition and the possibility of future synergies.

“As part of Intel, we’ll remain focused on this mission, but with the technology and resources to innovate faster and execute at scale. We will continue to operate with the same eagerness to invent and the same customer focus attitude that we’re known for, and we will retain Movidius talent and the startup mentality that we have demonstrated over the years,” says El-Quazzane.