CFAs: Developing Camera-Based AI Algorithms to Monitor Water Quality at Water and Wastewater UtilitiesSubscribe to our Free Email Newsletter Now...
Published by Water Network Research, Official research team of The Water Network
CFAs: Developing Camera-Based AI Algorithms to Monitor Water Quality at Water and Wastewater Utilities
Subscribe to our Free Email Newsletter Now
Deadline: 14-Sep-2026
The Water Research Foundation (WRF) is seeking research proposals to develop camera-based artificial intelligence systems for monitoring water quality and operational conditions in drinking water and wastewater utilities. The project will combine computer vision, AI, water-quality monitoring, and field validation to create scalable and practical tools for utilities.
About the Research Opportunity
The project aims to develop and validate a practical framework for using camera-based AI technologies to support operational monitoring in water and wastewater utilities.
The research should identify where camera-based monitoring can provide the greatest value and determine how these systems can be practically implemented across different utilities.
Key Research Areas
Proposed projects should address areas such as:
- Identifying high-value water and wastewater monitoring applications.
- Reviewing existing camera and imaging technologies.
- Determining technical requirements for utility deployment.
- Developing computer vision and AI algorithms.
- Testing AI-based monitoring systems in real-world utility environments.
- Comparing camera observations with conventional operational measurements.
- Evaluating AI model accuracy and performance.
- Assessing whether AI models can be transferred between different utilities.
- Developing practical implementation pathways.
- Identifying challenges and requirements for wider adoption.
- Expected Research Activities
The research is expected to include:
- Identification of promising monitoring applications.
- AI and computer vision algorithm development.
- Multi-site field demonstrations.
- Performance testing and validation.
- Comparison with conventional monitoring methods.
- Evaluation of model transferability.
- Development of a utility-focused implementation framework.
- The multi-site component is particularly important because the research should demonstrate whether the technology can work effectively under different utility conditions.
SOURCE and Link: https://www2.fundsforngos.org/science/cfas-developing-camera-based-ai-algorithms-to-monitor-water-quality-at-water-and-wastewater-utilities/
Subscribe to our Free Email Newsletter Now
Deadline: 14-Sep-2026
The Water Research Foundation (WRF) is seeking research proposals to develop camera-based artificial intelligence systems for monitoring water quality and operational conditions in drinking water and wastewater utilities. The project will combine computer vision, AI, water-quality monitoring, and field validation to create scalable and practical tools for utilities.
About the Research Opportunity
The project aims to develop and validate a practical framework for using camera-based AI technologies to support operational monitoring in water and wastewater utilities.
The research should identify where camera-based monitoring can provide the greatest value and determine how these systems can be practically implemented across different utilities.
Key Research Areas
Proposed projects should address areas such as:
- Identifying high-value water and wastewater monitoring applications.
- Reviewing existing camera and imaging technologies.
- Determining technical requirements for utility deployment.
- Developing computer vision and AI algorithms.
- Testing AI-based monitoring systems in real-world utility environments.
- Comparing camera observations with conventional operational measurements.
- Evaluating AI model accuracy and performance.
- Assessing whether AI models can be transferred between different utilities.
- Developing practical implementation pathways.
- Identifying challenges and requirements for wider adoption.
- Expected Research Activities
The research is expected to include:
- Identification of promising monitoring applications.
- AI and computer vision algorithm development.
- Multi-site field demonstrations.
- Performance testing and validation.
- Comparison with conventional monitoring methods.
- Evaluation of model transferability.
- Development of a utility-focused implementation framework.
- The multi-site component is particularly important because the research should demonstrate whether the technology can work effectively under different utility conditions.
SOURCE and Link: https://www2.fundsforngos.org/science/cfas-developing-camera-based-ai-algorithms-to-monitor-water-quality-at-water-and-wastewater-utilities/
Tags
- Research
- Water Quality
- Water Utility
- Water Quality Monitoring
- artificial intelligence
- Water and Wastewater