Edge Impulse Inc. / Sound Weld Anomaly Detection Public

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Sound Weld Anomaly Detection

Using audio data collected by the Belgian Welding Institute, this project uses sound signatures to detect defects during the welding process.

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Data (130 samples)

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error.FWA4-STA-8.json.2f0tjibq

ID: 125971336

Label: error

Sample length: 18s

normal.FWA4-46-16.json.2f0tnoku

ID: 125971314

Label: normal

Sample length: 15s

error.FWA4-HA-8.json.2f22uk6m

ID: 125971262

Label: error

Sample length: 5s

error.FWA4-36-4.json.2f22th7j

ID: 125971284

Label: error

Sample length: 5s

error.FWA4-LA-7.json.2f0sao2d

ID: 125971383

Label: error

Sample length: 17s

error.FWA4-HA-7.json.2f22ua8c

ID: 125971269

Label: error

Sample length: 4s

error.FWA4-STA-4.json.2f22vfoh

ID: 125971258

Label: error

Sample length: 5s

normal.FWA4-26-8.json.2f0si6bt

ID: 125971372

Label: normal

Sample length: 23s

Model accuracy (Unoptimized (float32))

Validation set

95.2%

Test set

96.8%

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

Latency

75 ms.

Peak RAM usage

42.1K

Flash usage

37.4K

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Dataset summary

Data collected

24m 34s

Sensors

mic, ac ch1, ac ch2 @ 50KHz

Labels

error, normal

Project info

Project ID	47648
Project version	4
License	BSD 3-Clause Clear
No. of views	21,109
No. of clones	5