SAM #1305M326Q0437

NOAA Solicits Machine Learning-Assisted Electronic Monitoring System for West Coast Fisheries

NOAA's Northwest Fisheries Science Center is seeking a contractor to deliver a comprehensive, machine learning-assisted electronic monitoring (EM) solution for West Coast fixed gear fisheries, specifically the Limited Entry Non-Trawl (LENT) sector. - Government Buyer: - National Oceanic and Atmospheric Administration (NOAA), Northwest Fisheries Science Center (NWFSC), Western Acquisition Division (Seattle) - Scope of Work: - Develop, install, and support EM systems on 35 vessels - Provide hardware, software, and machine learning model development for catch, discard, and biological data monitoring - Deliver vessel monitoring plans, annotated image libraries, and final reports - Ensure 100% catch coverage, high ML accuracy, robust data security, and integration with NWFSC databases - Manage data transmission, analytics, and industry liaison activities - Services Requested (Base and Option Periods): - Fleet infrastructure and installation - Data management and transmission - Machine learning development, testing, and integration - Review analysis and industry liaison - Unique Requirements: - Scientific integrity and compliance with federal regulations - End-to-end solution including installation, training, technical support, and ongoing data management - Emphasis on ML accuracy and secure integration with government systems - No specific OEMs or part numbers are named; the procurement is open to qualified small businesses with relevant EM and ML expertise.

Description

Machine Learning Assisted Electronic Monitoring of West Coast Fixed Gear Fisheries

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