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"Developing Camera-Based AI Algorithms to Monitor Water Quality at Water and Wastewater Utilities" is currently closed and not accepting applications.
Developing Camera-Based AI Algorithms to Monitor Water Quality at Water and Wastewater Utilities is sponsored by The Water Research Foundation (WRF). This call for proposals invites research into developing camera-based AI algorithms to monitor water quality at water and wastewater utilities.
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Research Priority Program 5417 - Developing Camera-Based AI Algorithms to Monitor Water Quality at Water and Wastewater Utilities 09/14/2026 3:00 pm (GMT-07:00) Mountain Time (US & Canada) Identify and prioritize high-value use. Select 3–5 priority applications spanning both drinking water and wastewater utilities where camera-based AI can provide the greatest operational benefit. Evaluate camera technologies and minimum requirements.
Compare camera platforms and minimum technical requirements; camera platforms may range from RGB cameras up to multispectral/hyperspectral options, to identify the level of imaging needed for operational monitoring cases identified. Develop and test computer vision AI algorithms for selected use cases and quantify performance under varying sites, lighting, weather conditions, and deployment configurations.
Camera-derived observations should be validated against conventional operational measurements like sensors to demonstrate accuracy, reliability, and practical utility. Assess transferability and scalability.
Evaluate whether models trained at one site or with one camera type can be applied across multiple utilities and site locations with minimal retraining, acknowledging applicability across their IT infrastructure, and define implementation pathways. WRF RFP Contact: George Kajjumba, PhD, PE For instructions on how to submit proposals, refer to these instructions or this video .
The Potential Participants listed at the bottom of this page have indicated interest in participating in this research. This information is updated frequently as utilities are encouraged to volunteer throughout the RFP cycle.
2026 Guidelines for Research Priority Program Certification and Assurance Form Financial and Grant Management Researcher Guidelines Financial Grant Management Capabilities Form Instructions for Budget Preparation Proposal Budget Form. xlsx Great Lakes Water Authority Hampton Roads Sanitation District Name & Address Contact & Title Contact Email & Phone Ann Arbor Water City of Ann Arbor Treasurer P. O.
Box 77621 Detroit, MI 48277-0621 United States Drinking Water Quality Manager 5th Floor Accounts Payable Washington DC 20003 United States Director, Clean Water and Technology haydee. declippeleir@dcwater. com 1600 W 12th Ave Mailcode 305 Denver CO 80204-3412 United States Water Treatment Sr. Technical Advisor stephanie.
riley@denverwater. org Great Lakes Water Authority PO Box 441370 Attn: Treasury Detroit MI 48244-1370 United States Director of Research & Innovation Hampton Roads Sanitation District Attn: Accounting 1434 Air Rail Ave Virginia Beach VA 23455 United States Showing 1-5 out of 11 results This program is only for organization. Please login to an organization account to continue.
According to the current listing, eligibility includes: Eligible applicants include academic institutions, government/public bodies, private sector, and research and technology organizations (RTOs). Confirm the full requirements in the official notice before applying.
The current listing shows up to $300,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was August 10, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Developing Camera-Based AI Algorithms to Monitor Water Quality at Water and Wastewater Utilities is funded by The Water Research Foundation (WRF). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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