SBIR/STTR Research Award
Pre-Custody Threat Warning with Machine Learning on Images
Award amount
$149,962Program and phase
SBIR · Phase IAward year
2023Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- DATA FUSION & NEURAL NETWORKS, LLC
- Proposal award date
- 2023-04-07
- Contract end date
- 2024-01-07
- UEI
- V53XW5LYDD76
- Solicitation number
- 22.4
- Topic code
- SF224-0001
Research abstract
Our proposal is to provide "an automated process that runs at sensor locations to recognize potential threat events in collected imagery to alert operators on relevant timelines" (e.g.,
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.
- Detecting Threats To PWSA Constellation Using AI and Satellite Telemetry Data
- Energy Consumption Abnormality Detection (ECAD)
- NAVY TECHNOLOGY ACCELERATION - Machine Learning (ML) and Artificial Intelligence (AI) to Develop Capabilities and Impact Mission Success
- Monitoring and Diagnosis via Energy Consumption Auditing
- NAVY TECHNOLOGY ACCELERATION - Unmanned Surface Vehicle (USV) and Unmanned Underwater Vehicle (UUV) Autonomous Behavior Development
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Computer Vision for Tactical Alerting (CV-TA) Phase II
- 3-stage Pre-custody Filter (3PF)
- Rapid Anomaly Detection in Images of Unresolved Space Objects (RADIUS)
- Electro-Optical Pre-Custody Threat Warning
- 3-stage Pre-custody Filter (3PF)
Research funding history
30 SBIR/STTR records share this UEI (2006–2025). Reported award amounts total $17,990,857. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense