SBIR/STTR Research Award

Generative AI for Surveillance and Recognition Systems (GAINS)

Award identifier 9ab5e001a2bcaae5f394c92e5ea8338c87ade70a322c07660010a3ef580932d3Awarding agency Department of Defense · Office of the Secretary of Defense

Award amount

$149,830

Program and phase

SBIR · Phase I

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Office of the Secretary of Defense
Recipient company
OMBRA LLC
Proposal award date
2025-08-28
Contract end date
2026-02-27
UEI
QLHYG32YJZD8
Solicitation number
25.4
Topic code
OSD254-P001

Research abstract

Ombra presents Generative AI for Surveillance and Recognition Systems (GAINS), a proposal to leverage advanced Generative AI—specifically Generative Adversarial Networks (GANs)—to overcome the limitations of long-range facial recognition systems utilized in Department of Defense (DoD) operations. Facial images captured at long distances often suffer from low resolution, poor quality, and degraded biometric features, significantly impacting recognition accuracy and operational reliability. Our approach centers on applying super-resolution techniques to enhance these images through advanced GAN architectures, specifically designed to upscale resolution, recover fine details, and optimize image quality for biometric use. The solution involves a two-stage GAN framework: the generator network will upscale low-quality images while recovering biometric-critical details, and the discriminator network will validate image realism and consistency with biometric standards. This AI-driven post-processing method will seamlessly integrate into existing DoD biometric systems, offering a cost-effective way to improve performance without requiring significant hardware upgrades. By ensuring that facial recognition systems can operate effectively even with low-quality inputs, this proposal addresses a critical gap in operational effectiveness and security. Ombra's approach also emphasizes scalability and adaptability. The proposed system will be modular, allowing it to evolve with future advancements in AI and to address emerging threats such as adversarial attacks on biometric systems. Additionally, the GAN models will be optimized for real-time processing on edge devices, ensuring low latency and field operability in mission-critical environments. With a robust training regimen that includes diverse datasets mimicking real?world scenarios, the solution will be validated to meet stringent accuracy and reliability benchmarks. Ombra's expertise in AI and biometric technologies, as demonstrated in past projects like Face1st, a Presentation Attack Detection and Deep Fake Detection solution, positions Ombra to deliver a transformative capability that directly enhances DoD operations and national security.

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

30 SBIR/STTR records share this UEI (2020–2025). Reported award amounts total $11,915,085. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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