Samuel Alexander / Edge AI Recycle Bin Public

Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) 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.

Edge AI Recycle Bin

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 (275 samples)

View all

Can.43iupsa4.s7

ID: 339012648

Label: Can

Sample length: 1s

Paper.43iskt4a.s3

ID: 339012208

Label: Paper

Sample length: 1s

Bottle.43it8sma.s7

ID: 339012326

Label: Bottle

Sample length: 1s

Bottle.43itcte4.s8

ID: 339012366

Label: Bottle

Sample length: 1s

Ping-pong.43ircn6d.s1

ID: 339012019

Label: Ping-pong

Sample length: 1s

Can.43iu8dbf.s8

ID: 339012525

Label: Can

Sample length: 1s

Paper.43is48v4.s4

ID: 339012112

Label: Paper

Sample length: 1s

Can.43ium08t.s3

ID: 339012631

Label: Can

Sample length: 1s

Model accuracy (Unoptimized (float32))

Validation set

100.0%

Test set

94.4%

On-device performance (Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz), Quantized (int8))

Latency

643 ms.

Peak RAM usage

22.8K

Flash usage

28.8K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

4m 52s

Sensor

audio @ 16KHz

Labels

Bottle, Can, Noise, Paper, Ping-pong

Project info

Project ID	244026
Project version	4
License	Apache 2.0
No. of views	45,081
No. of clones	345