blueprint.yaml

slug: edge-impulse-running-faucet-detection
type: Solution
category: "AI and machine learning"
expertiseLevel: "Intermediate"
tags: ["Audio", "Monitoring", "AI", "ML"]
icon: assets/running-faucet-detection.svg
gitrepo: https://github.com/particle-iot/blueprint-running-faucet-detection
name: "Running faucet detection"
shortDescription: Reference solution for detecting if a faucet is running
version: 1.0.0
models: ["YoloV8"]
language: [ "Particle Wiring" ]
cloudServices: []
integrations:
  - name: "Edge Impulse"
    icon: assets/edge-impulse.svg
supportedDevices:
  - name: P2
  - name: Photon 2
  - name: Boron
hardwareDependencies:
  - name: Supported device
  - name: Acoustic or vibration sensor
introduction: |
  This solution provides a comprehensive approach to monitoring water usage, helping users conserve water and reduce waste by detecting unintended water flow.
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.
additionalResources: