To fully understand the problem space, I conducted two first person interviews and read extensive secondary research. I understood that:
- People are unaware of some of the most hurtful ways they waste water inside their homes.
- For most households, the monthly bill is the only aspect of water use that is quantifiable.
Through my extensive reading of scientific papers I came across an incredible technology known as Ultra-sonic flow metering. You can use ultra sonic wavelengths to essentially see through a metal pipe that gives you a ‘flow signature’ . Using machine learning combined with other contextual variables like time of day, or number of people home, you can determine what appliance is being used and perhaps even the context.