Cooperative Agreement DEEE0011092
- This federal Project Grant award from the U.S. Fish and Wildlife Service's Tribal Wildlife Grants (CFDA 15.639) program provides $200,000 to the Sitka Tribe of Alaska to install AI-enabled video chutes to automate real-time monitoring of sockeye salmon at Redoubt Lake in Southeast Alaska. The goal is to generate accurate in-season salmon counts at a lower cost than traditional manual monitoring, enabling the tribe to manage subsistence and commercial harvest regulations more effectively. Sitka...
- Field Data Services LLC will conduct a $297,032 technical feasibility study under a Small Business Innovation Research (SBIR) Program project grant from the National Oceanic and Atmospheric Administration (NOAA) Department of Commerce. The study aims to determine the commercial viability of a new solid state lidar sensor chip for detecting migrating anadromous fish in small spawning streams. Field Data Services will build an automated test system to characterize the lidar's ability to detect...
- The Aifish LLC was awarded a $300,000 project grant from the National Oceanic and Atmospheric Administration under the Small Business Innovation Research Program to develop advanced data analysis tools for electronic monitoring in fisheries management. NOAA's SBIR program supports small businesses in stimulating technological innovation to meet federal research needs. Aifish will provide data analytics software to help fisheries managers efficiently process large volumes of video and sensor data...
- The $150,000 Phase I Small Business Innovation Research Project Grant from the National Oceanic and Atmospheric Administration will fund the development of automated image detection and machine learning systems for aquaculture production by Radmantis LLC. The company aims to pioneer the use of edge computing devices integrated with computer vision and artificial intelligence to autonomously monitor fish farms for early disease detection and permit sorting and handling of fish by...
- This Cooperative Agreement award from the U.S. Fish and Wildlife Service (FWS) under the Fish and Aquatic Conservation - Aquatic Invasive Species program (CFDA 15.608) provides $200,000 to Michigan Technological University to assist FWS in utilizing data from their lakebed observing technologies. The key objectives are to: 1) develop image enhancement algorithms for underwater vehicle imagery, 2) transfer the completed algorithms and code to FWS for use with their autonomous underwater...
- This Project Grant from the National Science Foundation's Integrative Activities program ($749,255) supports the development of genomic and artificial intelligence tools to address fishery management challenges from harvest to market. Led by Michigan State University from October 2021 to September 2022, the award aims to design CRISPR-Cas9 SHERLOCK assays enabling rapid, inexpensive species identification without specialized expertise. Initial work focuses on scalloped and Carolina hammerhead...
- The National Science Foundation awarded a $747,174 Project Grant to the Monterey Bay Aquarium Research Institute under the Integrative Activities federal grant program (CFDA 47.083). The award period is from October 1, 2021 to September 30, 2022. Through this funding, Mbari will develop algorithms to analyze video observations of ocean life from the FathomNet data repository. Cvision AI and the University of California, Santa Cruz will provide expertise and services as sub-awardees. Cvision AI...
- The National Oceanic and Atmospheric Administration (NOAA) awarded a $14,000,000 Cooperative Agreement under the Unallied Science Program (CFDA 11.472) to the National Fish and Wildlife Foundation (NFWF) to develop an electronic monitoring and reporting program for U.S. marine fisheries. The grant aims to partner with fisheries managers, industry, NGOs, and other stakeholders to establish regional electronic monitoring and reporting systems. Through sub-awards, the program will enhance...
- The National Oceanic and Atmospheric Administration awarded the Washington State Department of Fish and Wildlife a $4.476 million Project Grant under the Pacific Coast Salmon Recovery Pacific Salmon Treaty Program (CFDA 11.438). The grant will fund the replacement of manual fish marking trailers with an automated fish marking system to ensure that approximately 100 million hatchery-produced salmon and steelhead produced annually by WDFW are properly adipose fin clipped as required by state...
- This federal Project Grant award from the U.S. Fish and Wildlife Service under the Fish and Aquatic Conservation - Aquatic Invasive Species program (CFDA 15.608) provides $456,850 to the South Dakota Game, Fish and Parks (SDGFP) Wildlife Division to assess pathways of human-mediated spread of invasive carp, determine movement behavior of invasive carp, establish baseline demographic information, and identify locations at risk of future invasion in the Missouri River Basin. The key activities...
CURRENTLY, MOST FISH PASSAGE MONITORING AT HYDROELECTRIC FACILITIES IS PERFORMED MANUALLY WITH TRAINED FISH COUNTERS REVIEWING UP TO 24 HOURS OF VIDEO RECORDINGS EVERY DAY. THIS VIDEO IS RECORDED AT FISH COUNTING FACILITIES WITH VIEWING WINDOWS INTO FISH LADDERS. AT FACILITIES WITHOUT FISH COUNTING WINDOWS, VIDEO IS EITHER COLLECTED BY CAMERAS LOOKING DOWN FROM ABOVE THE WATER SURFACE OR BY USING UNDERWATER CAMERAS. OUR TEAM HAS RECENTLY DEPLOYED A PROTOTYPE CAMERA SYSTEM AND SOFTWARE PACKAGE THAT USES A TRAINED MACHINE LEARNING (ML) MODEL TO AUTOMATICALLY DETECT, TRACK, AND COUNT FISH AT THE BRADFORD ISLAND FISH COUNTING STATION OF THE BONNEVILLE DAM IN REAL-TIME. INITIAL RESULTS FROM THIS PILOT PROJECT INDICATE THAT MODEL COUNTING ACCURACIES GREATER THAN 95% ARE POSSIBLE AND, IF ADOPTED AUTOMATED FISH COUNTING COULD REDUCE THE COST OF ENUMERATING ADULT FISH PASSAGE BY OVER 50% (POTENTIAL FTE REDUCTION FROM GREATER THAN 24 HOURS PER DAY TO LESS THAN 8 HOURS PER DAY). THE COMPLETION OF THIS PILOT DEMONSTRATION IN 2023 PUTS THE TECHNOLOGY READINESS LEVEL (TRL) OF THE BASE SOFTWARE AND HARDWARE SYSTEM AT 7 AND THE GOAL OF THIS PROJECT IS TO REACH TRL 9 BY THE END OF THE SECOND BUDGET PERIOD. THE OVERALL OBJECTIVES FOR THIS PROJECT, WHICH WILL BE COMPLETED IN TWO BUDGET PERIODS, ARE TO IMPROVE UPON CURRENT FISH PASSAGE MONITORING CAPABILITIES BY EXPANDING ML MODEL CAPABILITIES WHILE ALSO LOWERING THE ASSOCIATED COSTS OF MONITORING. THESE OBJECTIVES WILL BE ACCOMPLISHED THROUGH A COMBINATION OF SOFTWARE AND HARDWARE INNOVATIONS. WITH REGARD TO SOFTWARE, THE EXISTING ML MODEL WILL BE EXPANDED TO INCLUDE CLASSIFICATION OF FISH SPECIES, FISH LENGTH, FISH ORIGIN (WILD VERSUS HATCHERY RAISED), AND THE PRESENCE OF INJURIES, WHICH WILL IMPROVE THE VALUE OF THE DATA OUTPUT (TASK 1). IN ADDITION, A SECOND ML MODEL WILL BE DEVELOPED THAT USES STEREO-IMAGERY TO PROVIDE MORE ACCURATE (MILLIMETER RESOLUTION) FISH LENGTH MEASUREMENTS AND IMPROVE INDIVIDUAL FISH TRACKING IN SCHOOLS (TASK 3). ON THE HARDWARE SIDE, TASK 2 WILL FOCUS ON THE DEVELOPMENT AND TESTING OF A HIGH-QUALITY MACHINE VISION STEREO CAMERA SYSTEM TO BE USED IN FISH COUNTING STATIONS AND ENABLE THE STEREO MODEL DEVELOPMENT OF TASK 3. FINALLY, AN UNDERWATER STEREO CAMERA SYSTEM PREVIOUSLY DEVELOPED FOR LONG-TERM MONITORING (DEVELOPMENT OF THIS SYSTEM WAS FUNDED BY A SEPARATE DOE SBIR WHICH WILL BE COMPLETED BEFORE THIS SYSTEM'S USE FOR THIS PROJECT) WILL BE USED TO DEMONSTRATE ALL THE PRIOR DEVELOPMENTS AT A FACILITY WITHOUT A FISH COUNTING WINDOW (FOR MORE INFORMATION, PLEASE SEE TASK 4). THE SUCCESSFUL COMPLETION OF THESE OBJECTIVES IS EXPECTED TO GREATLY IMPROVE THE ACCURACY OF FISH PASSAGE MONITORING WHILE SIMULTANEOUSLY ENABLING MONITORING AT FACILITIES WITHOUT COUNTING WINDOWS AND GREATLY REDUCING THE NEED FOR MANUAL REVIEW. THIS HAS THE POTENTIAL TO GREATLY EXPAND THE NUMBER OF FISH PASSAGE FACILITIES THAT ARE MONITORED, THUS INCREASING OUR ABILITY TO MANAGE CONSERVATION AND COMMERCIAL FISHERIES AND HELP THEM COEXIST WITH HYDROPOWER.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 2/6/26 | ||
| Not listed | $0 | 7/2/25 | ||
| Not listed | $0 | 5/1/25 | ||
| Not listed | $817.8k | 5/7/24 |