Oqmented: MEMS Based Laser Beam Scanning: The Key to Meeting Compactness and Performance Requirements of AR-smartglasses

Ulrich Hofmann

doi:10.1117/12.2598225

5 April 2021 Oqmented: MEMS Based Laser Beam Scanning: The Key to Meeting Compactness and Performance Requirements of AR-smartglasses

Ulrich Hofmann

Author Affiliations +

Proceedings Volume 11764, SPIE AVR21 Industry Talks II; 117641N (2021) https://doi.org/10.1117/12.2598225
Event: SPIE AR VR MR, 2021, Online Only

Abstract

AR smartglasses may become the next Big Thing and have the potential to replace the smartphone until end of the decade. As part of a currently building ecosystem for AR solutions OQmented contributes innovative MEMS mirror based laser scanning concepts and technologies. To meet the challenging high performance and compactness requirements of LBS light engines for AR smartglasses OQmented applies a single 2D-MEMS mirror that oscillates in vacuum. The operation in vacuum effectively minimizes power consumption and amplifies the oscillation amplitudes of the two resonant mirror axes leading to a high resolution display module of very compact size. Large eyebox, high brightness and high contrast are achieved when combining OQmented's LBS unit with diffractive waveguides.

Conference Presentation

Citation Download Citation

Ulrich Hofmann "Oqmented: MEMS Based Laser Beam Scanning: The Key to Meeting Compactness and Performance Requirements of AR-smartglasses", Proc. SPIE 11764, SPIE AVR21 Industry Talks II, 117641N (5 April 2021); https://doi.org/10.1117/12.2598225

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available