The basic principle of Magik Eye’s 3D depth sensors is based on the triangulation method using an infrared laser and a CMOS image sensor. However, using a unique algorithm developed by Magik Eye 3D, point cloud data can be acquired at high speeds and with very low latency using simple hardware configuration.
Magik Eye Developer Kit with the ILT001 sensor, a.k.a. DK-ILT001, is a 3D sensor designed to connect to a Raspberry Pi single-board computer. It is aimed at researchers in companies and laboratories at universities who want to easily evaluate Magik Eye technology and to explore depth sensors' applications in various technical fields.
The hardware of ILT001 has laser projector, CMOS image sensor and electrical circuits for connecting Raspberry Pi.
A Raspberry Pi and a connected DK-ILT001 module are converted into a network-connectable 3D sensor by installing Magik Eye firmware and calibration data.
Please consult the representatives of MagikEye to know more details of Evaluation Kit
sales@magik-eye.com
The ability to see clearly and understand the surrounding environment is critical for robots and many machine vision applications. Current 3D sensors often have trouble with things like reflective surfaces, un-textured white walls, bright sunlight, dark interior spaces, and translucent objects such as windows. MagikEye was designed to see all of that, and more.
Our family of 3D sensing solutions support a wide range of applications, from smartphones, robotics and surveillance applications. Our solutions offer the smallest, fastest and most power-efficient 3D sensing. MagikEye’s technology also includes greater field of view (FOV) flexibility than all other methods. This flexibility includes hemispherical fish eye depth sensing and 90-degree FOV that is capable of speeds up 300+ frames per second (FPS).
Can use most optically efficient lasers (1/10th of Structured Light)
Implemented with a VCSEL & DOE and clever algorithm
Simplified production process with no active alignment needed
Mobile devices are changing the way we communicate, shop, and more. Cameras are more than just taking pretty pictures. With Magik Eye, they can recognize individual faces and differentiate them.
Businesses and consumers are increasingly depending on robots to perform tasks to support human capability. Magik Eye ensures these powerful robots see the world crystal clear.
The world of mixed reality offers up a new and exciting way to see the world. With Magik Eye, the ability to sense in full 360 degrees will enrich the experience and enhance the viewer’s perception.
STAMFORD, Conn - [December 20, 2023]
-Magik Eye Inc. (www.magik-eye.com), a trailblazer in 3D sensing technology, is set to showcase its groundbreaking Pico Depth Sensor at the 2024 Consumer Electronics Show (CES) in Las Vegas, Nevada.
Live demonstrations of MagikEye’s latest ILT solutions for next-gen 3D sensing solutions will be held from January 9-11 at the the Embassy Suites by Hilton Convention Center Las Vegas. Demonstration times are limited and private reservations will be accommodated by contacting ces2024@magik-eye.com .
Grenoble, France - [August, 2022]
MagikEye provided a solution where the controller can remotely see the surroundings of the expensive objects in real-time and all in 3D. So the user can choose which view and where to look. As data is in 3D, it is easy to detect objects and measure the distance, which is crucial to prevent collisions and plan future movements.
Toyama, Japan - [June 7, 2022]
Shikino High-Tech CO.,LTD. (TSE:6614) acquired an unknown stake in Magik Eye Inc. on June 7, 2022. Shikino High-Tech also signed an memorandum of understanding with Magik Eye for joint development of camera modules that utilize this technology.
Stamford, CT - [July 15, 2021]
Magik Eye Inc. (www.magik-eye.com), an innovative young company bringing new technology to high volume 3D sensing applications, will be releasing its latest Invertible Light™ Technology (ILT) development kits to select 3D sensing developers. “With its high speed, low latency and superior surface visibility at near ranges, developers will now have a great new tool for object detection, guidance and gesture recognition. We are excited that developers can now explore optimal use cases for applications such as robotics that are truly effective for near-range applications and easy to use” said Takeo Miyazawa, Founder & CEO of MagikEye.
Our company was established in 2015 to bring about a new vision.
Utilizing techniques from brain science, we are enabling new types of products that see and understand the world around them to take better action.
See it all. Know it all.
Founder & CEO
Scientific entrepreneur & computer vision expert with a rich history of venture startups worldwide.
Founder, Cognitens, acquired by Hexagon
Founder, Gentech
Founder, Kizna
B.A. Psychology, Sophia University, Tokyo
CTO
Researcher in the field of artificial intelligence with an expertise in computer vision, and robotics camera calibration.
Software Engineering, Sun Microsystems
Researcher, Czech Technical University
Ph.D., Computer Vision, Czech Technical University
M.S. Computer Science, Charles University, Prague
Co-Founder & COO
Venture Investor, Entrepreneur & Former Management Consultant with track record of building businesses from the idea stage.
Managing Director, Pound Capital
Vice President of Marketing, Kizna
Management Consultant, PwC
B.A. Honors Political Science, University of Toronto
VP of Business Development
Experienced Business Leader with more than 20 years in the semiconductor test & measurement industry in the US, Europe, Asia and South America.
Vice President of Business Development, ams AG
Vice President and General Manager, 3D Imaging Solutions BU, Heptagon
Masters in Communication Engineering, Hamburg University of Technology
M.B.A, University of Warwick
Professor, Department of Brain & Cognitive Sciences, MIT
Director, Center for Brains, Minds, and Machines
Co-Director, Center for Biological and Computational Learning
Director, Mobile Eye and early Advisor to Deep Mind
Professor, Department of Computer Science, Columbia University
Director, Columbia University Machine Learning Laboratory
Director, Machine Learning, Netflix
Assistant Professor, Czech Technical University, Department of Cybernetics
Distinguished Researcher for Center of Machine Perception
Co-Founder, Neovision
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