SBIR/STTR Research Award

DETECT-ML: Detection of Energetic Topology Errors via Computed Tomography & Machine Learning - Phase II

Award identifier bdf2eb4e96b9bdf656c1f75290dca69ab68d48dca59392290d74087a907a8748Awarding agency Department of Defense · Army

Award amount

$1,698,222

Program and phase

SBIR · Phase II

Award year

2024

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
Compotech, Inc.
Proposal award date
2024-02-15
Contract end date
2026-02-27
UEI
N1LRKTJ6FJC3
Solicitation number
22.4
Topic code
A224-013

Research abstract

Compotech, Inc. has applied state-of-the-art AI/ML classification and image segmentation techniques to detect and visualize defects within X-ray CT scans of munitions. We seek to build upon this success by developing a complementary software and hardware suite which can automate these procedures to provide accurate defect characterization at high speed. Our methodology leverages proven AI/ML software algorithms, 2D digital radiography, 3D computed tomography, high-performance computing, and industrial automation controls

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

5 SBIR/STTR records share this UEI (2023–2024). Reported award amounts total $3,282,448. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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