Augmented Pixels has created a brand new technique to navigate using computer vision, and LG Electronics is saying right now it has constructed a 3D digital camera module that makes use of that expertise to help autonomous robots.

Palo Alto, California-based Augmented Pixels, a computer vision analysis and development firm, calls the expertise SLAM, or simultaneous location and mapping. It’s focusing on SLAM at robots, drones, AR, and VR.

The module may also be used for inside-out monitoring for augmented reality and virtual reality headsets. That implies that it figures out the place of the headset utilizing a digital camera that’s on the headset.

“Augmented Pixels currently has the fastest proprietary SLAM for mono and stereo cameras, as well as sensor fusion and technologies for autonomous navigation (obstacle avoidance, point cloud semantics, etc.) on the market,” mentioned Vitaliy Goncharuk, CEO of Augmented Pixels, in an announcement. “All our systems are hardware-agnostic, but our clients require a complete solution, that combines computer vision software with hardware. Our partnership with LG Electronics allows us to come up with a very efficient solution for markets of AR Glasses and Home Robotics.”

LG Electronics has designed a compact module consisting of a stereo digital camera, IR, and processor on board that goals to optimize high efficiency in opposition to low power consumption. It may be custom-made for various hardware platforms and use circumstances. Augmented Pixels gives software for autonomous navigation (impediment avoidance, level cloud semantics, and so on.), based mostly on its proprietary SLAM expertise.

Yun Sup Shin, principal engineer at LG Electronics, mentioned in an announcement, “We are very excited to be working with Augmented Pixels to offer the customers the exact technology they need. The single module that incorporates our camera and SLAM technology is an efficient solution in terms of performance and pricing. It can satisfy requirements of many manufacturers of robots and AR/VR systems, who are looking for effective ways to incorporate enhanced computer vision into their products. Our compact module has a processor, so all algorithms and software running on board provide flexibility to our customers and remove a lot of limitations based on limited calculation power of consumer devices.”

This put up by Dean Takahashi originally appeared on VentureBeat.

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