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This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
BLE Smartwatch Detecting Potential Sun Damage
About this project
Project Description
I built this artificial neural network model (ANN) for my BLE AI-driven smartwatch project. The model makes predictions on sun damage risk levels (classes) based on UV index, temperature, pressure, and altitude measurements:
- Tolerable
- Risky
- Perilous
After building the neural network model, I deployed the model as an Arduino library and uploaded it to XIAO BLE. Also, I employed XIAO BLE to transmit (advertise) the prediction (detection) result and the recently collected data over BLE.
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Dataset summary
Data collected
2m 37sSensors
uv_index, temperature, pressure, altitude @ 1HzLabels
Perilous, Risky, TolerableProject info
| Project ID | 104321 |
| Project version | 1 |
| License | No license attached |
| No. of views | 21,930 |
| No. of clones | 3 |
