From Microscopes to Machine Learning: AI-Driven Wastewater Monitoring Through McMaster–Veolia Collaboration
Wastewater treatment depends on the stability of complex microbial communities that drive biological processes and ensure effective solids separation. At the centre of this system is the balance between filamentous bacteria and floc-forming bacteria within activated sludge. When this balance is disrupted, plants can experience sludge bulking, reduced settling efficiency, and declining treatment performance. Traditionally, [...]









