SAM: Smart Acoustic Monitoring
by Seetharaman Subramanian
Smart Acoustic Monitoring (S. A. M.) of water is a project driven by my focus on changing people’s behaviour towards domestic water consumption. When I wanted to monitor my water consumption and compare it to others, I found no easy and direct way to do so.
This frustration led me to design and develop a sound-based water measurement system that estimates the volume of water from the sound it makes from the tap and hitting objects in the sink. It achieves this by analysing the sound input from microphones using a machine learning algorithm to detect specific events. The events then trigger the tracking, allowing SAM to record the duration for which the tap was open. Being separate from the outlet allows S. A. M. to be easily set up by anyone without requiring technical expertise, without compromising on data quality.
S. A. M. can thus drive data-driven design interventions that help people reduce the amount of water they consume in their daily activities.