Salman Faris / running_faucet Public

Target: Espressif ESP-EYE (ESP32 240MHz) Clone this project

Welcome to Edge Impulse, the largest community of edge AI developers!
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.

running_faucet

Keyword spotting

About this project

This public Edge Impulse project does not have a README yet. Clone this project to add new data or retrain this project, or to deploy this project to a device.

Data (361 samples)

View all

noise.13v1ivqjs.s12

ID: 462672372

Label: noise

Sample length: 1s

faucet.0v1kv0nt.s6

ID: 462673032

Label: faucet

Sample length: 1s

noise.7uv4etlp.s34

ID: 462671977

Label: noise

Sample length: 1s

faucet.0uv72luj.s30

ID: 462672739

Label: faucet

Sample length: 1s

faucet.0uv72luj.s10

ID: 462672841

Label: faucet

Sample length: 1s

faucet.0uv98b40.s20

ID: 462672623

Label: faucet

Sample length: 1s

faucet.1uv85g0u.s37

ID: 462673216

Label: faucet

Sample length: 1s

faucet.1uv85g0u.s31

ID: 462673242

Label: faucet

Sample length: 1s

Model accuracy (Unoptimized (float32))

Validation set

83.3%

Test set

94.6%

On-device performance (Espressif ESP-EYE (ESP32 240MHz), Quantized (int8))

Latency

417 ms.

Peak RAM usage

13.0K

Flash usage

30.8K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

7m 59s

Sensor

audio @ 16KHz

Labels

faucet, noise

Project info

Project ID	273686
Project version	2
License	Apache 2.0
No. of views	3,098
No. of clones	0