Wood-Species-Classification-Using-Vibration-Signature

Version 1.0 (4.15 MB) by Aishwarya Bhatnagar
Artificial Intelligence based model for classifying different wood species based on specific vibration characteristics.
5.0
(1)
121 Downloads
Updated 24 Mar 2021
View License on 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.

Cite As

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

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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wood classification demo

Version Published Release Notes
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.