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version 1.0 (3.99 MB) by Aishwarya Bhatnagar
Artificial Intelligence based model for classifying different wood species based on specific vibration characteristics.


Updated 24 Mar 2021

From GitHub

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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 (2021). Wood-Species-Classification-Using-Vibration-Signature (, GitHub. Retrieved .

Comments and Ratings (1)

Akhilesh Mishra

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

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