Edge Impulse Experts / Weather_Conditions 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.

Weather_Conditions

About this project

This Weather Conditions ML model build as a part of Sensor Fusion to Control Window and Louvre for Smart Building/Office project. Combine with Rain Thunder Sound sound classification model.

Data (40 samples)

View all

Sunny Humid.48dvkau8

ID: 467837616

Label: Sunny Humid

Sample length: 10s

Overcast.48dv1kk0

ID: 467837619

Label: Overcast

Sample length: 10s

Overcast.48dueuk8

ID: 467837624

Label: Overcast

Sample length: 10s

Sunny Dry.48ddt1f7

ID: 467837629

Label: Sunny Dry

Sample length: 10s

Comfortable.48d8igfk

ID: 467837635

Label: Comfortable

Sample length: 10s

Sunny Dry.48ddvtgq

ID: 467837626

Label: Sunny Dry

Sample length: 10s

Comfortable.48d86ch7

ID: 467837641

Label: Comfortable

Sample length: 10s

Overcast.48duvr3o

ID: 467837622

Label: Overcast

Sample length: 10s

Model accuracy (Unoptimized (float32))

Validation set

100.0%

Test set

100.0%

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

Latency

1 ms.

Peak RAM usage

1.3K

Flash usage

14.3K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

6m 38s

Sensors

temperature, humidity, pressure, red, green, blue, brightness, proximity, gesture @ 12.5Hz

Labels

Comfortable, Overcast, Sunny Dry, Sunny Humid

Project info

Project ID	274091
Project version	1
License	Apache 2.0
No. of views	13,603
No. of clones	6