SBIR/STTR Research Award
Next Generation Architecture for Night Vision Imaging
Award amount
$98,711Program and phase
SBIR · Phase IAward year
2006Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- OASYS TECHNOLOGY, LLC.
- Proposal award date
- 2006-04-21
- Contract end date
- 2007-02-21
- UEI
- F9AVUZ8YBGQ6
- Solicitation number
- 2006.1
- Topic code
- AF06-022
Research abstract
This proposal is submitted to develop a new device architecture for enhancing vision under low illumination conditions and enabling out-of-band operation. The proposed effort includes establishing the optimal set of subcomponents and interfaces to realize the end system under constraints of size, power, and performance. The effort addresses the entire system including the optical front-end, SWIR sensor (1280x1024 as baseline), image processing engine with a robust processing set, high resolution display, and overall packaging for military compatible environments. Appropriate trade studies will be made to identify and mitigate risk of system implementation.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- 20/20 Immersive Display System Based on Eye Tracking
- Untethered Helmet-Mounted Display for Night Vision Goggle Training Systems
- 20/20 Immersive Display System Based on Eye Tracking
- Untethered Helmet-Mounted Display for Night Vision Goggle Training Systems
- CSAR-X Digital Visionic System
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Next Generation Architecture for Night Vision Imaging
- Next Generation Architecture for Night Vision Imaging
- Next Generation Architecture for Night Vision Imaging
Research funding history
7 SBIR/STTR records share this UEI (2006–2008). Reported award amounts total $2,011,138. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense