Shankar-16 / Mosquito detection using TinyML Public

Target: Cortex-M4F 80MHz Clone this project

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Mosquito detection using TinyML

Keyword spotting

About this project

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Data (21 samples)

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N10.wav.2qar1a71

ID: 73600295

Label: Noise

Sample length: 20s

N2.wav.2qar1ctn

ID: 73600285

Label: Noise

Sample length: 1m 0s

N5.wav.2qar1cvh

ID: 73600265

Label: Noise

Sample length: 1m 0s

M7

ID: 73600242

Label: Mosquito

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

N1

ID: 73600293

Label: Noise

Sample length: 20s

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

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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	740
No. of clones	1