Award Data

A Phase I SBIR is proposed for the development of a wearable sensor to protect law enforcement and first responders from inadvertent exposure to potentially toxic levels of fentanyl and/or fentanyl analogs.The Phase I project will demonstrate the ability of the new sensor to selectively detect the presence of fentanyl analog vapors from solid samples or air-borne particulates in concentrations bel ...

To address the National Geospatial-Intelligence Agency (NGA) need for overhead imagery analysis algorithms that provide uncertaintymeasures for object recognition and aggregation, Intellisense Systems, Inc. (ISS) proposes to develop a new Variational Object Recognition andGrouping Network (VORGNet) system. It is based on the innovation of implementing a Bayesian convolutional neural network (CNN) ...

The implementation of continuous nuclear and radiological monitoring systems enabling the automatic detection and tracking of potential nuclear threats is traditionally associated with a high operational burden. Sensors typically have to be monitored by dedicated personnel, who must investigate detection events in a timely manner; however, high nuisance alarm rates can rapidly overwhelm already-ta ...

To address the Department of Homeland Security (DHS) need for a cell phone location finder for maritime and remote search and rescue (SAR), Physical Optics Corporation (POC) proposes to develop a new REmote Phone Locator for Improved Emergency Rescue (REPLIER). REPLIER leverages novel techniques recently developed at POC to extend the range of cellular communications and integrate commercial cellu ...

Nano Terra proposes to develop a low-cost and wearable detector badge that quickly and selec-tively alerts the user to the presence of solid fentanyl aerosols with an audible and visual alert. Current commercial fentanyl and opioid detectors are bulky and costly and have unsuitably-high limits of detection. Nano Terra will leverage their expertise in ultra-sensitive dosimetric detection of threat ...

To address the DHS need to rapidly detect radio interference of critical radio frequency (RF) communications channels utilized by first responders, Physical Optics Corporation (POC) proposes to develop a new Miniature Intelligent Spectral Analyzer (MISCAN) device based on a combination of commercial off-the-shelf (COTS) electronic components in a custom software-defined configuration along with in ...

Toyon Research Corporation proposes to research and develop algorithms for low-shot object detection, adapting popular techniques to address the complexities inherent in ATR for remote sensing. Traditional object detection algorithms rely on large corpora of data which may not be available for more exotic targets (such as foreign military assets), and therefore, traditional Convolutional Neural Ne ...

The National Geospatial-Intelligence Agency (NGA) ingests and analyzes raw imagery from multiple sources to form actionable intelligenceproducts that can be disseminated across the intelligence community (IC). To effectively meet these demands NGA must continue to improveits automated and semi-automated methods for target detection and classification. Of particular concern is furthering NGA's abil ...

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 ...

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 ...