SBIR/STTR Research Award
Utilize Generative Adversarial Networks (GANs) to generate >95% photorealistic synthetic data for AI/ML enablement
Award amount
$74,530Program and phase
SBIR · Phase IAward year
2023Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- SENSOROPS LLC
- Proposal award date
- 2023-04-28
- Contract end date
- 2023-08-04
- UEI
- W5E7H4HLTCM8
- Solicitation number
- X23.5
- Topic code
- AFX235-CSO1
Research abstract
SensorOps aims to develop a best-in-class solution for the development of high-quality photorealistic synthetic data. Automated and unmanned systems are critical to remote monitoring, asset detection and surveillance. In an era of rapidly advancing hardwa
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.
- AI/ML Enabled Battle Damage Assessment
- Artificial Intelligence / Machine Learning Enabled Battle Damage Assessment
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Development of a Semi-autonomous Handheld Robotic Device to Enable Rapid Vascular Access By Non-specialists in Austere Environments
- Evitado TACFI
- AI for Adaptive 3D Infrastructure Design in Navy Engineering
- Smart Thermal Protection Systems for Hypersonics
- Sub-THz Reflectarrays: An Alternative Architecture for Enhanced Array Scaling with 3D Heterogeneous Integration for DoD ELGAR Use Cases
Research funding history
3 SBIR/STTR records share this UEI (2023–2025). Reported award amounts total $1,984,400. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense