Edge Impulse Inc. / Machine Monitoring - Anomaly detection using GMM Public

Target: Cortex-M4F 80MHz Clone this project

Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.

Machine Monitoring - Anomaly detection using GMM

Accelerometer

About this project

This public Edge Impulse project does not have a README yet. Clone this project to add new data or retrain this project, or to deploy this project to a device.

Data (138 samples)

View all

nominal.3fplp0ue.s11

ID: 468082551

Label: nominal

Sample length: 10s

idle.3fplaodf.s8

ID: 468082656

Label: idle

Sample length: 10s

idle.3fplaodf.s1

ID: 468082732

Label: idle

Sample length: 10s

nominal.3frnqrc8.s3

ID: 468082074

Label: nominal

Sample length: 10s

idle.3fq8huh7.s4

ID: 468082171

Label: idle

Sample length: 10s

idle.3fq8huh7.s11

ID: 468082110

Label: idle

Sample length: 10s

nominal.3frnqrca.s3

ID: 468082002

Label: nominal

Sample length: 10s

idle.3fplhtdm.s11

ID: 468082322

Label: idle

Sample length: 10s

Model accuracy (Unoptimized (float32))

Validation set

Test set

100.0%

On-device performance (Cortex-M4F 80MHz, Unoptimized (float32))

Latency

4 ms.

Peak RAM usage

1.1K

Flash usage

Run this model

On any device

Clone project

Dataset summary

Data collected

23m 0s

Sensors

accX, accY, accZ @ 62.5Hz

Labels

idle, nominal

Project info

Project ID	279368
Project version	3
License	BSD 3-Clause Clear
No. of views	46,992
No. of clones	24