Novel artificial intelligence (AI) technology could make monitoring at water treatment plants cheaper and easier and help safeguard public health.

TOP INSIGHT
New AI software developed by researchers is capable of identifying and quantifying different kinds of cyanobacteria, or blue-green algae, a threat to shut down water systems when it suddenly proliferates.
Current testing methods, which typically involve sending samples to labs for manual analysis by technicians, take one to two days. Some automated systems already exist as well, but they require extremely expensive equipment and supplies.
According to Emelko and collaborator Alexander Wong, a systems design engineering professor at Waterloo, the AI system would provide an early warning of problems since testing could be done much more quickly and frequently.
Moving forward, the goal is an AI system to continuously monitor water flowing through a microscope for a wide range of contaminants and microorganisms.
"This brings our research into a high-impact area," said Wong. "Helping to ensure safe water through widespread deployment of this technology would be one of the great ways to really make AI count."
"It's critical to have running water, even if we have to boil it, for basic hygiene," said Monica Emelko, a professor of civil and environmental engineering at Waterloo. "If you don't have running water, people start to get sick."
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