Blueprints / Running faucet detection
Running faucet detection
Reference solution for detecting if a faucet is running
Intermediatev1.0.0AI/MLSensors
Introduction
This solution provides a comprehensive approach to monitoring water usage, helping users conserve water and reduce waste by detecting unintended water flow.
Supported devices
Hardware and supplies
- Supported device
- Acoustic or vibration sensor
Cloud services and integrations
Edge Impulse
Project description:
The Running Faucet Detection solution provides a reference for detecting if a faucet is running, using Edge Impulse's machine learning capabilities. This app is designed to be deployed on Particle devices, such as the Photon 2, Boron, and M-SoM, and uses sensors to monitor and classify water flow patterns. By leveraging Edge Impulse, this solution can detect the unique acoustic or vibration signatures associated with a running faucet, enabling users to identify water usage and detect potential leaks.
Key Features:
- Utilizes Edge Impulse's machine learning platform to train a model for identifying running water sounds or vibrations.
- Compatible with Particle devices, allowing seamless deployment and edge processing.
- Ideal for applications in water conservation, leak detection, and smart home automation.
Fork this project to your GitHub account Fork and edit