Award Data

This research proposes a data-driven and multi-perspective solution to reduce injuries and fatalities due to bus collisions with other vehicles. It goes beyond reviewing historical bus crash reports by collecting field LiDAR data for better understanding a variety of factors that may contribute to bus collisions and injuries/fatalities. It also recognizes that collision avoidance technologies (whi ...

Ocean ecosystems are critical to the regulation of Earth’s climate and biodiversity, while also hosting a range of direct and indirect benefits to people, from being a food source to recreation. Coastal ocean systems are dynamic regions especially rich in diverse biological and geochemical interactions. However, major gaps exist in our knowledge of the primary biogeochemical processes and the fa ...

This project will build upon research conducted during a Phase I SBIR effort, which showed that germicidal UV-C radiation emitted by LEDs installed inside of submerged radiometers can reach levels known to prevent biofouling (accumulation of biological matter) on their external optical surfaces (windows, diffusers) without affecting the instrument’s measurements. This technology will improve the ...

As global efforts toward ocean health have gained momentum, it is critical to generate high quality ocean data for industries that operate and/or manage ocean resources. Blue Ocean Gear has demonstrated how Smart Buoys equipped with sensors can be useful to fisheries by tracking gear and providing enhanced marine condition awareness. Building on Phase I efforts, this project will highlight the opp ...

There is a dire need for technology to rapidly and accurately detect and quantify Escherichia coli serotypes 0157:H7 and K12 and Vibrio parahaemolyticus and total fecal coliforms. In Phase I we developed a novel approach to Surface Enhanced Raman Spectroscopy (SERS) for detecting human pathogens in cultured bacteria, mixtures of organisms and in oyster tissue. Our approach uses a higher energy las ...

To address NOAA’s need for technologies conducive to a weather-ready nation, Intellisense Systems, Inc. (Intellisense) proposes, in Phase II, to advance the development of a new Flood Location and Alerting (FLOA) software system proven feasible in Phase I. FLOA is based on integrating data from IoT flood sensors such as Intellisense’s AWARE, combined with publicly available data, into Waze, a ...

We propose to develop a hybrid leak detection system, utilizing real-time multisensory system and a compact gas chromatograph (GC) integrated in a single unit. The key advantages of our GC technology are utilization of scrubbed ambient air as a carrier gas and utilization of novel multisensory highly integrated platform as a GC detector. The outcome of this technology, is the ability to monitor a ...

To address the DOT’s need for a new system to detect excavation damage and notify pipeline operators, Intellisense Systems, Inc., (Intellisense) proposes a new Fiber-Optic Excavation Monitoring Sensor (FOCOS) system based on phase-sensitive optical time-domain reflectometry (-OTDR), machine learning (ML) algorithms, and Internet of Things (IoT) communication. Specifically, the innovative impl ...

Optimizing demand for available transportation infrastructure is desirable for the Department of Transportation and Federal Transit Administration, local and regional agencies, private organizations, and individuals. Unfortunately, traditional Transportation Demand Management (TDM) efforts fail to facilitate cooperation between actors, and rely heavily on marketing and financial incentives to infl ...

The hand held Wheel Inspector provides the capability to measure wheel profiles, create wheel rim surface models, identify and classify defects using combined surface and image intensity data.The device uses a camera and two laser profilometers to recover the wheel profile to an accuracy of 0.00012 inches; an ultrasonic sensor provides the wheel back-to-back measurement.The device supports two mod ...