Lake-wide monitoring and assessment of Great Lakes fisheries with autonomous vehicles and image analysis

Overview

Development stage

PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

2020-10-01 (day precision)Source: 10/1/2020

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Science

Operational functions

Image and video analysis Derived by keyword rules; see methodology

Problem the AI is intended to solve

Fisheries monitoring and assessment

Expected benefits

Improved management of economically valuable predator stocks that underpin recreational, economic, and subsistence fisheries of the Great Lakes

System outputs

Whole-lake and site level estimates of species abundance for the Great Lakes

Technology

AI classification

Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).

System name(s)

Not reported

Custom-developed code

No

Public source code

code.usgs.gov ↗

Sourcing

How it was built

Developed in-houseSource: b) Developed in-house

Vendor (as reported)

Not reported

Vendors (standardized)

None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

No

Privacy Impact Assessment

Not reported

Authorization to Operate

No

Demographic features

k) None of the above

Training and evaluation data

Underwater imagery annotated for locations of individual fish, geologic substrate, and invasive species

Federal Data Catalog

www.sciencebase.gov ↗

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported