Shankar-16 / Mosquito detection using TinyML Public

Target: Cortex-M4F 80MHz 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.

Mosquito detection using TinyML

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 (21 samples)

View all

N1

ID: 73600293

Label: Noise

Sample length: 20s

N10.wav.2qar1a71

ID: 73600295

Label: Noise

Sample length: 20s

M5

ID: 73600269

Label: Mosquito

Sample length: 49s

M8

ID: 73600253

Label: Mosquito

Sample length: 20s

N3.wav.2qar1cn5

ID: 73600270

Label: Noise

Sample length: 1m 0s

M6

ID: 73600243

Label: Mosquito

Sample length: 20s

N2.wav.2qar1ctn

ID: 73600285

Label: Noise

Sample length: 1m 0s

M1

ID: 73600241

Label: Mosquito

Sample length: 15s

Model accuracy (Unoptimized (float32))

Validation set

96.8%

Test set

100.0%

On-device performance (Cortex-M4F 80MHz, Quantized (int8))

Latency

193 ms.

Peak RAM usage

24.7K

Flash usage

35.5K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

9m 43s

Sensor

audio @ 16KHz

Labels

Mosquito, Noise

Project info

Project ID	66054
Project version	1
License	No license attached
No. of views	1,315
No. of clones	1