We first reported on Movidius back in June when Lenovo announced it was using the company’s ultra low power SOC to power a new wireless VR headset. Movidius has long been known as being a leader in ultra low-energy computer vision, and while there has been no new news regarding Lenovo’s new wireless solution, Intel has just announced that it is acquiring Movidius to help “accelerate computer vision applications”.
With Movidius, Intel gains low-power, high-performance SoC platforms for accelerating computer vision applications. Additionally, this acquisition brings algorithms tuned for deep learning, depth processing, navigation and mapping, and natural interactions, as well as broad expertise in embedded computer vision and machine intelligence. Movidius’ technology optimizes, enhances and brings RealSense™ capabilities to fruition.
says Intel’s Josh Walden in a recent press release.
This news comes just a couple of weeks after Intel’s announcement of a wireless “mixed reality” headset they are calling Project Alloy. Intel’s solution uses their own Realsense cameras paired with more traditional virtual reality software in order to manipulate virtual objects using items from the real world. In a demo of the headset at IDF 2016, Intel CEO Brian Krzanich showed an example where he sculpts a virtual lathe using a dollar bill held in front of him. The solution is completely wireless and does all the processing within the headset itself, so working with Movidius could be extremely beneficial to making the next iteration of the product much more efficient.
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Along with use in VR, AR, and MR headsets, Intel has said it will use Movidius technologies to help accelerate “drones, robotics, digital security cameras and beyond”. Since the company specializes in low power computer vision, the acquisition should help to make these technologies all the more efficient, as well as effective in their individual use cases.
The future is looking bright for deep learning. Hopefully the acquisition will help to make wireless mixed reality systems all the more achievable in the near future.