Edge Impulse Inc. / Sound Weld Anomaly Detection Public

Target: Cortex-M4F 80MHz Clone this project

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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.

About this project

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Data (130 samples)

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error.FWA4-26-10.json.2f0tq7tn

ID: 125971305

Label: error

Sample length: 22s

error.FWA4-46-10.json.2f0rkuvp

ID: 125971401

Label: error

Sample length: 15s

error.FWA4-46-4.json.2f22tjmv

ID: 125971273

Label: error

Sample length: 6s

error.FWA4-26-7.json.2f22snm3

ID: 125971290

Label: error

Sample length: 6s

error.FWA4-36-4.json.2f0todj7

ID: 125971309

Label: error

Sample length: 19s

error.FWA4-LA-6.json.2f0s7fr2

ID: 125971380

Label: error

Sample length: 18s

error.FWA4-26-10.json.2f22s4uo

ID: 125971299

Label: error

Sample length: 5s

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

ID: 125971284

Label: error

Sample length: 5s

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

Run this model

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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	14,130
No. of clones	2