Award Data

TECHNICAL ABSTRACT: NOAA is pursuing sustained, in-situ sensing technology to support improved atmospheric modeling of the upper ocean boundary environment, including the air-sea interface, during turbulent storms. Improved atmospheric modeling in this critical region will lead to better forecasting and support NOAA's mandate to protect property and save lives. Small, unmanned aircraft, equipped w ...

McQ will develop a complete conceptual design for a Buoy Guard System (BGS). This system will detect the presence of intruders at and on the buoy. It will initiate deterrent actions to persuade and force the intruders away from the buoy. It will also collect imagery and other data about the intruders and about their activities associated with the buoy. This data, along with the basic warning w ...

Deep Learning Analytics (DLA) will develop the Deep-False Alarm Suppression Technique (D-FAST) algorithm that uses state of the art and

TECHNICAL ABSTRACT: The objective of this project is to develop and implement a real-time detection and warning system to mitigate marine entanglement events in offshore aquaculture operations. In order to achieve this, we leverage the latest advances in computer vision, deep learning, and real-time object detection to develop a real-time marine life detection, classification and tracking pipeline ...

This Phase II research expands Phase I research on Saccharina latissima and is to design and develop “seed” nursery methodologies for the development of commercial-scale production of juvenile kelp plants including Alaria esculenta and Laminaria digitata. The project objectives include: 1. Isolate and maintain cultures of New England species of Alaria esculenta and laminaria digitata to be use ...

TECHNICAL ABSTRACT: In this Phase II effort, PEMDAS Technologies and Innovations (PEMDAS), in collaboration with subcontractor Aerovel, Inc., proposes to fully develop a prototype Low-Altitude Maritime SurveySampling (LAMSS) System using the technologies identified and knowledge gained during our Phase I effort. The proposed innovation will deliver the necessary capabilities for electro-optical an ...

TECHNICAL ABSTRACT: In this Phase I effort, PEMDAS Technologies and Innovations (PEMDAS), in collaboration with subcontractor Westover Studios, proposes to assess the feasibility of developing an innovative tool that allows forecasters to easily provide real-time threat tracking information to be used by the public to confirm the existence and location of a weather- or water-related hazards in a m ...

The current emphasis in fish nutrition is fish meal replacement with a variety of alternative protein sources including plant-based, terrestrial and marine proteins. We propose to focus specifically upon the protein quality of these alternate protein sources and its potential impacts on marine fish production. Animal byproduct meals created through the rendering industry are widely utilized as i ...

This SBIR Phase II project will develop biologically inspired computational models and algorithms to enable low-shot and one-shot detectionof objects-of-interest in remote sensing imagery. The Phase II effort will build upon our Phase I work including multi-scale representationlearning framework and deep-learning based feature extraction and matching techniques for low-shot target detection. The P ...

TECHNICAL ABSTRACT: During Phase I, Metron designed and implemented an efficient, scalable, end-to-end prototype system for collecting, storing, and viewing mariner weather observations: the Mariner Report App (MARApp). The MARApp Client is a mobile application that transforms smartphones and tablets at sea into forward geospatial/environmental sensors. It can take weather measurements from sensor ...