Christopher Mendez / AI Mood Lamp
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
About this project
AI Voice controlled lamp with WisBlock
Normally, the smart devices in our home are subject to internet availability and third-party services to work correctly, our data is everywhere in the cloud and we experience the effects of latency as our commands are processed and the action required is performed. This project tries to solve this problem by making the most of the microcontrollers we commonly use, implementing a system capable of processing voice commands in real-time, controlling a motor and an addressable LED strip, all locally, without the need for internet, allowing us to control a LED desk lamp by voice, to adjust it to our mood.
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Download block output
Title | Type | Size | |
---|---|---|---|
MFCC training data | NPY file | 2216 windows | |
MFCC training labels | NPY file | 2216 windows | |
MFCC testing data | NPY file | 84 windows | |
MFCC testing labels | NPY file | 84 windows | |
NN Classifier model | TensorFlow Lite (float32) | 12 KB | |
NN Classifier model | TensorFlow Lite (int8 quantized) | 7 KB | |
NN Classifier model | TensorFlow SavedModel | 16 KB | |
NN Classifier model | Keras h5 model | 11 KB |
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Summary
Data collected
29m 50sProject info
Project ID | 129318 |
Project version | 2 |
License | No license attached |