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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared ImagerySBC: TOYON RESEARCH CORPORATION Topic: 1
On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
SBC: SEACOAST SCIENCE, INC. Topic: HSB0101004
This Small Business Innovative Research Phase I project consists of fundamental research into molecularly imprinted polymer (MIP) nanoparticles to act as sensing points in novel detection system for explosives. The system is based upon MIP nanoparticles deposited upon a MEMS-based chemicapacitive sensor array. As the MIP nanoparticle binds the explosive, the polarizability of the material changes ...SBIR Phase I 2010 Department of Homeland Security
SBC: EXPERT MICROSYSTEMS, INC. Topic: HSB041008
Having achieved success for NASA equipment health monitoring applications, Expert Microsystems will develop new SCADA security solutions derived from its pattern recognition and decision support software. Using our patent pending ¿predict, detect, decide¿ techniques, we will develop an innovative decision support tool providing automated intrusion detection system (IDS) information management. W ...SBIR Phase I 2004 Department of Homeland Security
SBC: MAYACHITRA, INC. Topic: NGA181005
Building interpretable, composable autonomous systems requires consideration of uncertainties in the decisions and detections theygenerate. Human analysts need accurate absolute measures of probability to determine how to interpret and use the sometimes noisy resultsof machine learning systems; and composable autonomous systems need to be able to propagate uncertainties so that later reasoningsyst ...SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
SBC: Living Carbon PBC Topic: T
Carbon drawdown and retention in terrestrial biomass is currently limited by the rate of photosynthetic assimilation and of decay of lignocellulosic biomass respectively. Living Carbon is developing innovative methods of reducing the susceptibility of vegetative biomass to decay by lignotrophic fungi, thereby reducing the rate of release of carbon dioxide back to the atmosphere through fungal resp ...SBIR Phase I 2021 Department of EnergyARPA-E
SBC: Physical Optics Corporation Topic: HSB051005
The Homeland Security Advanced Research Projects Agency is seeking an innovative less-lethal untethered electromuscular disruptor device that is inexpensive, safe, lightweight, man portable, and easy to use to stop illegal behavior of individuals, groups, or crowds. The physical environments vary from a small room to a city street or a sports stadium. The goal is to temporarily incapacitate, confu ...SBIR Phase I 2005 Department of Homeland Security
SBC: Physical Optics Corporation Topic: HSB0171001
To address the DHS need, Physical Optics Corporation (POC) proposes to develop a new InfraRed and Optical Wilderness Location and Surveillance (IROWL) system based on the unique integration of a handheld spotting device, display, and compact multispectral zoom optics. The lightweight handheld device includes surveillance optics, infrared sensors, and display electronics to enable Border Patrol Age ...SBIR Phase I 2017 Department of Homeland Security
Innovative Education Environments for Content Delivery, Adaptive Training, and Real-time Decision SupportSBC: COGNITECH CORPORATION Topic: N/A
The proposed Phase I research will design and develop innovative technologies for the deployment of training and educational content to multiple platforms and realtime decision support, just in time learning, and adaptive training. Prototypes will include reuse of PACERs homeland security educational training content and deploy them on an iPhoneiPod Touch and integrated voice response system. This ...SBIR Phase I 2008 Department of Homeland Security
SBC: Space Micro Inc. Topic: HSB052006
The high stress situations facing Security Staff responsible for detecting radiological threats to the United States is complicated by the need to identify these threats in complex backgrounds of natural and/or legitimately transported medical and industrial radiation sources. Although the operational constraints vary, a common need is to quickly provide Specific Isotope and Source Location inform ...SBIR Phase I 2005 Department of Homeland Security
SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC. Topic: N/A
Present-day transponders require a clear line-of-sight with the sky, both to track their position with GPS and to relay status information to an uplink. This requirement precludes the ability to track asset tags whose containers are deeply stacked on or below deck. SARA is pleased to offer an innovative solution to overcome the line-of-sight requirement by developing an asset-tag-tracking system b ...SBIR Phase I 2004 Department of Homeland Security