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

Overcast.48d95hp1

ID: 467837634

Label: Overcast

Sample length: 10s

Sunny Dry.48ddrnr3

ID: 467837631

Label: Sunny Dry

Sample length: 10s

Overcast.48duvr3o

ID: 467837622

Label: Overcast

Sample length: 10s

Sunny Humid.48dvlvi7

ID: 467837614

Label: Sunny Humid

Sample length: 10s

Overcast.48duv409

ID: 467837623

Label: Overcast

Sample length: 10s

Comfortable.48d89tor

ID: 467837637

Label: Comfortable

Sample length: 10s

Sunny Humid.48d75jfi

ID: 467837644

Label: Sunny Humid

Sample length: 10s

Sunny Dry.48ddt1f7

ID: 467837629

Label: Sunny Dry

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	23,743
No. of clones	10