AI-Based Mechanical Anomaly Detector (Audio) - Data acquisition - Edge Impulse

Edge Impulse Experts / AI-Based Mechanical Anomaly Detector (Audio) Public

Target: Cortex-M4F 80MHz Clone this project

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Data collected

2m 8s

Train / test split

76% / 24%

Dataset

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2600

7540

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8000

8000

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Enabled & disabled samples

	ID	Sample name	Label	Added	Length	Device	Signature	Created	Sensors
	805308979	NORMAL_01_11_2024_06_13_52	normal		3s		none		audio @ 8000Hz	Download
	805308978	NORMAL_01_11_2024_06_13_41	normal		4s		none		audio @ 8000Hz	Download
	805308977	NORMAL_01_11_2024_06_13_59	normal		3s		none		audio @ 8000Hz	Download
	805308976	NORMAL_01_11_2024_06_13_28	normal		4s		none		audio @ 8000Hz	Download
	805308975	NORMAL_01_11_2024_06_13_55	normal		3s		none		audio @ 8000Hz	Download
	805308974	NORMAL_01_11_2024_06_13_18	normal		4s		none		audio @ 8000Hz	Download
	805308973	NORMAL_01_11_2024_06_13_24	normal		4s		none		audio @ 8000Hz	Download
	805308972	NORMAL_01_11_2024_06_13_32	normal		4s		none		audio @ 8000Hz	Download
	805308971	NORMAL_01_11_2024_06_13_37	normal		3s		none		audio @ 8000Hz	Download
	805308970	NORMAL_01_11_2024_06_13_46	normal		4s		none		audio @ 8000Hz	Download
	805308969	NORMAL_01_11_2024_06_13_13	normal		4s		none		audio @ 8000Hz	Download
	805308968	ANOMALY_01_11_2024_06_22_16	anomaly		5s		none		audio @ 8000Hz	Download

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	Name
	Kutluhan Aktar