Award Data

"Jaia Robotics’ low-cost, micro-sized hybrid uncrewed surface/underwater vehicles called JaiaBotsTM can be deployed from the shore or vessels. The system enables truly affordable multivehicle operations that can be scaled to provide wide area synoptic data collection. In the proposed effort the project team will develop a JaiaBot which is air-deployable from sonobuoy launch tubes to collect atmo ...

A cloud based system for sharing bathymetric survey data collected by FarSounder customers is proposed as a way(1) to improve safety of navigation on our oceans, (2) to collect measurements for the broader scientific and maritime communities and (3) to generally explore and broadly share information about our oceans in fulfillment of ideas proposed in Topic 9.3 “The Changing Ocean”, and in acc ...

Elevated temperatures observed in urban areas have significant implications for human health, energy consumption and infrastructure reliability, and their negative effects disproportionately impact disadvantaged populations. Increasing scientific and practical understanding of urban heat islands is an important step in identifying those regions at elevated risk, and effective mitigation strategi ...

Wildfire response planning is limited by the lack of high-resolution data for use in wildfire prediction. Wildfire models depend on many variables, including weather, topography, vegetation type and arrangement, fuel moisture content, and regional fire prevention measures, among others. Some of these variables are static or nearly so, but some of these are highly dynamic. In particular, live fuel ...

High-resolution images from satellites and airplanes have become ubiquitous in the current digital landscape, and readily available to the public. In recent years, deep learning approaches, and in particular deep convolutional neural networks have revolutionized computer vision. Such deep learning models thrive with an abundance of data, creating enormous potential at the nexus of computer vision ...

Skeyeon, Inc. has developed all technologies necessary to orbit an Earth Observation, EO, satellite at 250 km, developing a vehicle design; atomic oxygen resistant, low drag materials; high bandwidth, real-time RF links; electric propulsion for 3 year missions; and a 1 meter resolution optical telescope compressed into a 10 cm high framework. A constellation of 100’s-1,000’s of these vehicles ...

We propose an innovative yet straightforward approach to developing and delivering a readily deployable product to support combating IUU. We combine newly available low-cost hyperspectral sensors with state-of-the-art deep learning-based real-time data processing and deploy it on high-availability commodity cloud computing hardware - our solution is compatible with both existing systems as well as ...

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 ...

The use of unattended floats, platforms, and drones addresses the immense challenge of cost-effectively characterizing the chemistry of the oceans. The proposed program strengthens this capability by demonstrating the feasibility of Laser Fluorescence Enhanced Flame Spectrophotometry (LFEFS) for the simultaneous and high precision measurement of calcium and strontium. These are key elements of the ...

The Federal Railroad Administration’s (FRA) Automated Track Inspection Program uses optical systems such as cameras or laser-based systems to monitor rail performance throughout the country. These systems are hindered by adverse weather conditions that allow water, dirt and mud to coat their optical components resulting in unwanted maintenance costs. Thus FRA is seeking a low-cost, practical s ...