Versatile, Compact, Low-Cost, MEMS-Based Image Stabilization for Imaging Sensor Performance Enhancement, Phase I

LW Microsystems proposes to develop a compact, low-cost image stabilization system suitable for use with a wide range of focal-plane imaging systems in remote sensing and other space-based applications. The system would be used in conjunction with integrated rotation sensors/gyroscopes to deflect light to counteract the effects of vibrations. This approach has the advantage over both image processing software and conventional gimbal-based approaches in being able to stabilize the image to higher frequencies without compromising on image size, resolution or speed. The mass-produced low-cost devices at the core of the system along with the post-assembly electronic tuning of the stabilization module also enable significant cost advantages over other stabilization approaches.

Stabilization of hand-held optical imaging systems such binoculars, video cameras, night vision systems. Stabilization of IR/night vision systems being integrated in passenger vehicles, and surveillance/security systems. Military applications in image stabilization for imagers in guided missiles, weapons sights and unmanned air surveillance. Image stabilization for IR, visible, and UV satellite or aircraft based imaging systems used in remote sensing/earth imaging, non-ground based telescopes where the image panning functions would be especially useful and structure/vehicle/equipment monitoring in extreme vibration environments.

This is a mature technology (TRL 7+) — the realistic path in is usually NASA's Technology Transfer Program: licensing an existing NASA patent, or a Space Act Agreement to use NASA facilities/expertise directly. NASA also runs a startup licensing program with no upfront fee for companies formed to commercialize a specific NASA technology.

None of these are guaranteed paths for this specific project — TechPort itself doesn't have an "apply" button. Reaching out to the contact(s) above with a specific question is usually the fastest way to find out what's actually open.