Deep Plant

Computer vision for automated detection of anomalous events in water plants

Deep Plant

Deep Plant aims to generate an alarm system to assist water plant operators. Thus, using Computer Vision, this project will carry out automated rapid detection of anomalous episodes in the designated plants.

In addition, the initiative aims to improve detection capacity and reduce response time when unexpected events occur; reduce operating costs, thanks to the automation and remote visualisation of processes; and improve Aigües de Barcelona’s position in the field of digital research and innovation.

Duration: September 2021 - November 2022
Coordinator: Cetaqua Barcelona
Project funded by Aigües de Barcelona