Edge Impulse Experts / Acoustic Sensing of Worker Accidents Public

Target: Cortex-M4F 80MHz Clone this project

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Acoustic Sensing of Worker Accidents

Keyword spotting

About this project

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Data (2,387 samples)

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cry.crying_11.wav.30p4tedu.ingestion-c867f464-4d76p.s11

ID: 106532892

Label: cry

Sample length: 1s

stop.1a9afd33_nohash_0.wav.30obull1.ingestion-c867f464-5tklj

ID: 106531892

Label: stop

Sample length: 1s

help.30ogs7k2.ingestion-c867f464-5tklj.s17

ID: 106532377

Label: help

Sample length: 1s

help.30ofsfff.ingestion-c867f464-5tklj.s49

ID: 106532667

Label: help

Sample length: 1s

cry.crying_1.wav.30os0f4c.ingestion-c867f464-4d76p.s5

ID: 106532966

Label: cry

Sample length: 1s

stop.7be9f58a_nohash_1.wav.30oc2ceb.ingestion-c867f464-9trqc

ID: 106531637

Label: stop

Sample length: 1s

scream.30oqnnpr.ingestion-c867f464-4d76p.s49

ID: 106532292

Label: scream

Sample length: 1s

help.30lm8h4a.ingestion-c69d65466-66wlb.json.30og00g8.ingestion-c867f464-9trqc.s4

ID: 106532735

Label: help

Sample length: 1s

Model accuracy (Unoptimized (float32))

Validation set

96.6%

Test set

92.3%

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

Latency

401 ms.

Peak RAM usage

3.8K

Flash usage

550.6K

Run this model

On any device

Clone project

Dataset summary

Data collected

39m 41s

Sensor

audio @ 16KHz

Labels

cry, help, scream, stop, unknown

Project info

Project ID	111611
Project version	1
License	No license attached
No. of views	227,910
No. of clones	80