Magik Eye today announced it will reveal Invertible Lighttm at the 2019 Embedded Vision Summit, the premier event for innovators who want to bring visual intelligence to a wide variety of products. Invertible Lighttm is a new method for depth sensing that enables the smallest, fastest and most power-efficient 3D sensing. "While Structured Light, Time of Flight and Stereo Scoping Imaging are the primary methods today, Invertible Lighttm aims to transform 3D sensing in the coming age of robotics and machine vision for the masses," said Takeo Miyazawa, Founder & CEO of Magik Eye https://www.embedded-vision.com/summit/speaker/takeo-miyazawa-0 .
Current methods such as Structured Light have been around for more than 25 years and are based on legacy design. They fundamentally require the projection of a specific or random pattern to measure the distance to an object in 3D. The result is significant power usage, multiple components and complexity for production. All of this ultimately translates into higher cost for the consumer. Invertible Lighttm by contrast projects a regular dot pattern on an object using only a projector and an image sensor. The result of this breakthrough in optics and mathematics is the smallest, fastest & most power-efficient 3D sensing.
The Summit takes place May 20-23, 2019, in Santa Clara, CA. The annual event brings together a global audience of companies developing leading-edge, vision-enabled products, including embedded systems, cloud solutions, and mobile applications. Invertible Lighttm will be presented by Takeo on May 22nd as part of the Emerging Technologies Track https://www.embedded-vision.com/summit/game-changing-depth-sensing-technique-enables-simpler-more-flexible-3d-solutions at the Summit.
About Magik Eye Inc. www.magik-eye.com
Magik Eye Inc. has a family of 3D depth sensing solutions that support a wide range of applications for smartphones, robotics and surveillance. Magik Eye's technology is based on Invertible Lighttm that enables the smallest, fastest & most power-efficient 3D sensing.