Shankar-16 / Mosquito detection using TinyML Public

Target: Cortex-M4F 80MHz Clone this project

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Mosquito detection using TinyML

Keyword spotting

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Data (21 samples)

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N9.wav.2qar18f4

ID: 73600294

Label: Noise

Sample length: 10s

M2

ID: 73600240

Label: Mosquito

Sample length: 15s

N8.wav.2qar1b5r

ID: 73600296

Label: Noise

Sample length: 30s

N4.wav.2qar1ctr

ID: 73600266

Label: Noise

Sample length: 1m 0s

N7.wav.2qar1btb

ID: 73600275

Label: Noise

Sample length: 40s

M4

ID: 73600268

Label: Mosquito

Sample length: 50s

M7

ID: 73600242

Label: Mosquito

Sample length: 20s

M5

ID: 73600269

Label: Mosquito

Sample length: 49s

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

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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	959
No. of clones	1