jpteixeira / Fiap_MBA_DSA Public

Target: Raspberry Pi RP2040 (Cortex-M0+ 133MHz) Clone this project

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Fiap_MBA_DSA

Manutenção prescritiva de máquina com tinyML

Accelerometer

EdgeML tinyML Pi Pico W

About this project

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Data (40 samples)

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OK.6hjf7vnr

ID: 2772584969

Label: OK

Sample length: 10s

falha.6hjeuskr

ID: 2772584962

Label: falha

Sample length: 10s

falha.6hjetr0v

ID: 2772584961

Label: falha

Sample length: 10s

falha.6hjel743

ID: 2772584953

Label: falha

Sample length: 10s

OK.6hjfg6fd

ID: 2772584981

Label: OK

Sample length: 10s

OK.6hjfbcs0

ID: 2772584974

Label: OK

Sample length: 10s

OK.6hjfa492

ID: 2772584972

Label: OK

Sample length: 10s

OK.6hjfeec6

ID: 2772584978

Label: OK

Sample length: 10s

Model accuracy (Unoptimized (float32))

Validation set

99.6%

Test set

99.8%

On-device performance (Raspberry Pi RP2040 (Cortex-M0+ 133MHz), Quantized (int8))

Latency

11 ms.

Peak RAM usage

1.6K

Flash usage

17.9K

Run this model

On any device

Clone project

Dataset summary

Data collected

6m 40s

Sensors

accX, accY, accZ @ 937Hz

Labels

falha, OK

Project info

Project ID	961956
License	3-Clause BSD
No. of views	7
No. of clones	0