Christopher Mendez / Vibraciones
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
About this project
AI Air Quality Analyzer through Vibration
Sometimes, in the development of our work, we need to monitor some physical variable of a process, and either because measuring it directly is not safe or we simply do not have the corresponding sensor to do it, we are limited to sampling it. In some cases in this process, there are other variables that are indirectly correlated with the one that we cannot measure, which we do have the possibility of monitoring.
As a proof of concept to this case, I show you how I determine the air quality based on how an air purifier vibrates while cleaning impurities and gases in the environment automatically.
For this, I trained a neural network putting the purifier in its 3 speeds and capturing its vibrations in each case, when the purifier is configured in automatic mode, it selects one of its speeds depending on how much the environment has to be cleaned, hence the relationship between air quality and the characteristic vibrations of each speed.
Follow the Hackster guide for more details, hardware and demonstrations
Download block output
Title | Type | Size | |
---|---|---|---|
Spectral features training data | NPY file | 818 windows | |
Spectral features training labels | NPY file | 818 windows | |
Spectral features testing data | NPY file | 195 windows | |
Spectral features testing labels | NPY file | 195 windows | |
NN Classifier model | TensorFlow Lite (float32) | 554 KB | |
NN Classifier model | TensorFlow Lite (int8 quantized) | 143 KB | |
NN Classifier model | TensorFlow SavedModel | 514 KB | |
NN Classifier model | Keras h5 model | 509 KB |
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Summary
Data collected
9m 9sProject info
Project ID | 128230 |
Project version | 1 |
License | No license attached |