NA24OARX021G0002
Project Grant
Overview
Grant Description
Purpose: Passive acoustic recording on underwater gliders has shown promise to map fisheries, locate marine mammals, and detect vessels in protected areas.
Gliders cannot operate in shallow water, necessitating offshore deployment/retrieval and restricting mapping to deeper waters; their initial purchase price and operational costs limit the number of simultaneous deployments, and post-retrieval audio file processing requirements add expense and slow scientific discovery.
We propose developing POGO, a low-cost underwater vehicle for passive acoustic recording which can be deployed and recovered from near shore, allowing collection of high-quality audio recordings in shallow waters via inexpensive and simultaneous deployments, and removing the need for ongoing operational support.
A hybrid profiler with vertical and horizontal transit capability and GPS and inertial sensor navigation, POGO will transit to its targeted location, sink and passively station on the bottom to record audio, then surface on a programmed schedule to transmit summary data and location via satellite.
POGO will use artificial intelligence and a small, customizable neural net to automatically detect signals of interest, including fish, marine mammals, or vessels, thus eliminating the need for post-retrieval audio file processing, while a cloud system and data dashboard will allow users to visualize data and manage simultaneous POGO deployments.
Gliders cannot operate in shallow water, necessitating offshore deployment/retrieval and restricting mapping to deeper waters; their initial purchase price and operational costs limit the number of simultaneous deployments, and post-retrieval audio file processing requirements add expense and slow scientific discovery.
We propose developing POGO, a low-cost underwater vehicle for passive acoustic recording which can be deployed and recovered from near shore, allowing collection of high-quality audio recordings in shallow waters via inexpensive and simultaneous deployments, and removing the need for ongoing operational support.
A hybrid profiler with vertical and horizontal transit capability and GPS and inertial sensor navigation, POGO will transit to its targeted location, sink and passively station on the bottom to record audio, then surface on a programmed schedule to transmit summary data and location via satellite.
POGO will use artificial intelligence and a small, customizable neural net to automatically detect signals of interest, including fish, marine mammals, or vessels, thus eliminating the need for post-retrieval audio file processing, while a cloud system and data dashboard will allow users to visualize data and manage simultaneous POGO deployments.
Awardee
Funding Goals
18 CLIMATE ADAPTATION AND MITIGATION 19 WEATHER-READY NATION 20 HEALTHY OCEANS 21 RESILIENT COASTAL COMMUNITIES AND ECONOMIES
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Sarasota,
Florida
342333274
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the End Date has been extended from 01/31/25 to 07/31/25.
Loggerhead Instruments was awarded
Project Grant NA24OARX021G0002
worth $175,000
from National Oceanic and Atmospheric Administration in August 2024 with work to be completed primarily in Sarasota Florida United States.
The grant
has a duration of 1 year and
was awarded through assistance program 11.021 NOAA Small Business Innovation Research (SBIR) Program.
The Project Grant was awarded through grant opportunity NOAA SBIR FY 2024 Phase I.
SBIR Details
Research Type
SBIR Phase I
Title
Low-cost scalable passive acoustic autonomous vehicle with AI
Abstract
Passive acoustic recording on underwater gliders has shown promise to map fisheries, locate marine mammals, and detect vessels in protected areas. Gliders cannot operate in shallow water, necessitating offshore deployment/retrieval and restricting mapping to deeper waters; their initial purchase price and operational costs limit the number of simultaneous deployments, and post-retrieval audio file processing requirements add expense and slow scientific discovery. We propose developing Pogo, a low-cost underwater vehicle for passive acoustic recording which can be deployed and recovered from near shore, allowing collection of high-quality audio recordings in shallow waters via inexpensive and simultaneous deployments, and removing the need for ongoing operational support. A hybrid profiler with vertical and horizontal transit capability and GPS and inertial sensor navigation, Pogo will transit to its targeted location, sink and passively station on the bottom to record audio, then surface on a programmed schedule to transmit summary data and location via satellite. Pogo will use artificial intelligence and a small, customizable neural net to automatically detect signals of interest, including fish, marine mammals, or vessels, thus eliminating the need for post-retrieval audio file processing, while a cloud system and data dashboard will allow users to visualize data and manage simultaneous Pogo deployments.
Topic Code
9.3
Solicitation Number
NOAA-OAR-TPO-2024-2008184
Status
(Complete)
Last Modified 9/19/25
Period of Performance
8/1/24
Start Date
7/31/25
End Date
Funding Split
$175.0K
Federal Obligation
$0.0
Non-Federal Obligation
$175.0K
Total Obligated
Activity Timeline
Transaction History
Modifications to NA24OARX021G0002
Additional Detail
Award ID FAIN
NA24OARX021G0002
SAI Number
NA24OARX021G0002-003
Award ID URI
None
Awardee Classifications
State Government
Awarding Office
1305N2 DEPT OF COMMERCE NOAA
Funding Office
1333BR OFC OF PROG.PLANNING&INTEGRATION
Awardee UEI
LQVVB9T3N9L6
Awardee CAGE
5KBN4
Performance District
FL-17
Senators
Marco Rubio
Rick Scott
Rick Scott
Modified: 9/19/25