Diego Francisco Luna Lopez / PKE-Meter-AI
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
About this project
PKE-WioTerminal
Ingles
Wio Terminal
You will see the screen of our PKE meter, where with a potentiometer we can choose two functions:
- Sine waves
- Ghost Locator (with the help of the Raspberry pi)
Raspberry pi
We are going to run the artificial intelligence model, which we created in Edge Impulse and send the information to our Wio Terminal of the location of the ghost.
Steps:
- GitHub
- GhostbusterGhostbuster PKE Meter Real 👻🔧 - YouTube
- Program your PKE Meter 👻💻The Real Ghostbuster - YouTube
- Program 3d printing and electronics PKE Meter - YouTube
Español
Wio Terminal
Va a cer la pantalla de nuestro PKE meter, adonde con un potenciometro podremos elegir dos funcioens:
- Ondas sesosoidal
- Localisador de Fantasmas (con ayuda de la Raspberry pi)
Raspberry pi
Vamos a correr el modelo de inteligencia arificial, que crearemos en Edge Impulse y mandaremos la informacion a nuestra Wio Terminal de la ubicacion del fantasma.
Pasos:
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Image training data | NPY file | 101 windows | |
| Image training labels | JSON file | 101 windows | |
| Image testing data | NPY file | 24 windows | |
| Image testing labels | JSON file | 24 windows | |
| Object detection model | TensorFlow Lite (float32) | 11 MB | |
| Object detection model | TensorFlow Lite (int8 quantized) | 4 MB | |
| Object detection model | TensorFlow SavedModel | 10 MB |
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Summary
Data collected
125 itemsProject info
| Project ID | 51259 |
| Project version | 1 |
| License | No license attached |
