NA23OAR0210336
Project Grant
Overview
Grant Description
Electronic monitoring (EM) represents a promising opportunity for fishery management of the future. Yet, after nearly two decades of implementation, less than 1% of the world's fishing fleet are able to participate in these programs.
Cost remains a key barrier to the implementation of these programs, and the primary cost drivers are manual video review, data transmission, and data storage.
Our SBIR Phase I efforts have proven the feasibility of utilizing computer vision and machine learning techniques to analyze EM video with human-level accuracy, resulting in technology at Technology Readiness Level (TRL) 5.
The aim of this project is to extend and enhance our technology to a TRL 9 and begin onboarding global customers.
Cost remains a key barrier to the implementation of these programs, and the primary cost drivers are manual video review, data transmission, and data storage.
Our SBIR Phase I efforts have proven the feasibility of utilizing computer vision and machine learning techniques to analyze EM video with human-level accuracy, resulting in technology at Technology Readiness Level (TRL) 5.
The aim of this project is to extend and enhance our technology to a TRL 9 and begin onboarding global customers.
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
Kailua,
Hawaii
967341836
United States
Geographic Scope
Single Zip Code
Related Opportunity
Aifish was awarded
Project Grant NA23OAR0210336
worth $649,987
from National Oceanic and Atmospheric Administration in August 2023 with work to be completed primarily in Kailua Hawaii United States.
The grant
has a duration of 2 years and
was awarded through assistance program 11.021 NOAA Small Business Innovation Research (SBIR) Program.
The Project Grant was awarded through grant opportunity FY23 NOAA SBIR Phase II.
SBIR Details
Research Type
SBIR Phase II
Title
Cloud-based Automated Electronic Monitoring for Fisheries of the Future
Abstract
Electronic monitoring (EM) represents a promising opportunity for fishery management of the future. Yet
after nearly two decades of implementation less than 1% of the world’s fishing fleet are able to participate
in these programs. Cost remains a key barrier to the implementation of these programs and the primary
cost drivers are manual video review, data transmission and data storage.
Our SBIR Phase I efforts have proven the feasibility of utilizing computer vision and machine learning
techniques to analyze EM video with human-level accuracy and resulted in technology at technology
readiness level (TRL) 5. The aim of this project is to extend and enhance our technology to a TRL 9 and
begin onboarding global customers.
Topic Code
9.3
Solicitation Number
NOAA-OAR-TPO-2023-2007785
Status
(Ongoing)
Last Modified 2/19/25
Period of Performance
8/1/23
Start Date
7/31/25
End Date
Funding Split
$650.0K
Federal Obligation
$0.0
Non-Federal Obligation
$650.0K
Total Obligated
Activity Timeline
Transaction History
Modifications to NA23OAR0210336
Additional Detail
Award ID FAIN
NA23OAR0210336
SAI Number
NA23OAR0210336-002
Award ID URI
None
Awardee Classifications
For-Profit Organization (Other Than Small Business)
Awarding Office
1305N2 DEPT OF COMMERCE NOAA
Funding Office
1333BR OFC OF PROG.PLANNING&INTEGRATION
Awardee UEI
DZZ4YEN8AXE3
Awardee CAGE
8L4R8
Performance District
HI-02
Senators
Mazie Hirono
Brian Schatz
Brian Schatz
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Operations, Research and Facilities, National Oceanic and Atmospheric Administration, Commerce (013-1450) | Other natural resources | Grants, subsidies, and contributions (41.0) | $649,987 | 100% |
Modified: 2/19/25