SBIR/STTR Research Award
MetalScrap: A Multimodal and Multiview Digital Image Deep Learning Method for Automated and Accurate Metallic Scrap Inspection
Award amount
$1,585,309Program and phase
SBIR · Phase IIAward year
2023Award details
- Awarding agency
- Department of Defense
- Branch
- Army
- Recipient company
- INFOBEYOND TECHNOLOGY LLC
- Proposal award date
- 2023-06-13
- Contract end date
- 2024-12-19
- UEI
- JMXHCAK12LZ7
- Solicitation number
- 21.4
- Topic code
- A214-043
Research abstract
Redacted
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.
- MsObjDET: AI-based Multi-Spectral Passive Object Detection using Spatiotemporal Transformer and YOLO with Dynamic Tracking Integration
- GANWave: GAN-enabled OFDM High Capacity Waveform for Low Identification and Detection Probability with Energy Efficiency and Security
- AI-Fire: Advanced Fire Ignition Video Analysis through Multimodal Spatiotemporal Detection & Localization Using Transformer-Enhanced YOLO
- MineDL: Efficient Mine Detection and Localization Using Advanced YOLO and LSTM with Few-Shot Learning
- UnifiedDL: Secure Metadata-enabled Intelligent Data Integration and Management Lake by AI-powered Graph Canonization and Parallel Processing
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Super Human Automated Robotic Classification of Scrap (SHARCS)
- MetalScrap: A Multimodal Attention-based Generative Adversarial Network for Automated and Accurate Metallic Scrap Inspection
- AI/ML in Automated Scrap Inspection
- Super Human Automated Classification of Scrap (SHARCS)
Research funding history
44 SBIR/STTR records share this UEI (2010–2025). Reported award amounts total $13,013,950. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, Department of Energy, Department of Commerce, Department of Transportation