Wood-Species-Classification-Using-Vibration-Signature

Versione 1.0 (4,15 MB) da Aishwarya Bhatnagar
Artificial Intelligence based model for classifying different wood species based on specific vibration characteristics.
5.0
(1)
121 download
Aggiornato 24 mar 2021
Visualizza la licenza su GitHub

Acquire live data from NI data acquisition hardware in MATLAB using the Data Acquisition Toolbox and use the Deep Learning Toolbox to classify 3 different wood species (Mexican Ebony, Hard Maple and Bloodwood) based on vibrational characteristics. This demo also uses the Wavelet Toolbox to compute continuous wavelet transform (CWT) images of the live acquired data samples. The CWT images were used to train the CNN model.

Cita come

Aishwarya Bhatnagar (2024). Wood-Species-Classification-Using-Vibration-Signature (https://github.com/mathworks/Wood-Species-Classification-Using-Vibration-Signature/releases/tag/v1.0), GitHub. Recuperato .

Compatibilità della release di MATLAB
Creato con R2021a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

wood classification demo

Versione Pubblicato Note della release
1.0

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.