Edge Impulse Experts / Refrigerator Predictive Maintenance v4 Public

Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project

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Refrigerator Predictive Maintenance v4

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Data (9 samples)

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30may2022_night_dataset

ID: 110590742

Label: normal_operation

Sample length: 2m 7s

24may2022_night_dataset

ID: 110590744

Label: normal_operation

Sample length: 1m 24s

1June2022_day_dataset

ID: 110590743

Label: normal_operation

Sample length: 1m 13s

18may2022_night_dataset

ID: 110590745

Label: normal_operation

Sample length: 2m 3s

Model accuracy (Unoptimized (float32))

Validation set

Test set

On-device performance (Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz), Unoptimized (float32))

Latency

13 ms.

Peak RAM usage

15.7K

Flash usage

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Dataset summary

Data collected

10m 35s

Sensors

temperature, humidity, illumination @ 1000Hz

Labels

normal_operation

Project info

Project ID	115503
Project version	1
License	No license attached
No. of views	14,248
No. of clones	42