a11y / Sign Language Detection A&B 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.

Sign Language Detection A&B

Images

A11y SignLanguage Accessibility ASL

About this project

The goal of the project is to implement a recognition system for some elements of American Sign Language fingerspelling. To achieve the goal, a neural network model was developed and then loaded into a microcontroller.

Data (6,084 items)

View all

A1058

ID: 765808444

Label: 0

A1471

ID: 765808086

Label: 0

B2458

ID: 765804804

Label: 1

B2685

ID: 765804595

Label: 1

B1383

ID: 765805743

Label: 1

B49

ID: 765804145

Label: 1

B2270

ID: 765804967

Label: 1

A2939

ID: 765806769

Label: 0

Model accuracy (Unoptimized (float32))

Validation set

98.3%

Test set

96.5%

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

Latency

104 ms.

Peak RAM usage

13.3K

Flash usage

36.8K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

6,084 items

Labels

0, 1

Project info

Project ID	318850
Project version	4
License	Apache 2.0
No. of views	68,187
No. of clones	9