d3nbg / FlightStatusClassifier Public

Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) 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.

FlightStatusClassifier

Flight Mode Detector for the TinyML course in Summer 2025 (see https://github.com/vimkat/tinyml-2025) // FIVE-CLASS-TEST

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 (56 samples)

View all

cruising.flight0-1

ID: 2099670449

Label: cruising

Sample length: 1m 22s

circling.flight0-9

ID: 2099670451

Label: circling

Sample length: 5m 37s

pre_take_off.flight1-0

ID: 2099670691

Label: grounded

Sample length: 29m 9s

landed.flight2-0

ID: 2099670631

Label: grounded

Sample length: 12m 41s

cruising.flight1-1

ID: 2099670483

Label: cruising

Sample length: 2m 23s

cruising.flight2-4

ID: 2099670520

Label: cruising

Sample length: 1m 12s

circling.flight0-5

ID: 2099670416

Label: circling

Sample length: 58s

cruising.flight0-7

ID: 2099670462

Label: cruising

Sample length: 45s

Model accuracy (Unoptimized (float32))

Validation set

91.6%

Test set

On-device performance (Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz), Quantized (int8))

Latency

7 ms.

Peak RAM usage

1.6K

Flash usage

17.6K

Run this model

On any device

Clone project

Dataset summary

Data collected

5h 38m 27s

Sensors

acc_x, acc_y, acc_z, rot_x, rot_y, rot_z, qfe, temp @ 26.3Hz

Labels

circling, cruising, grounded, landing, take_off

Project info

Project ID	739653
License	3-Clause BSD
No. of views	18
No. of clones	0