Material identification using a microwave sensor array and machine learning

16Citations
Citations of this article
25Readers
Mendeley users who have this article in their library.

Abstract

In this paper, a novel methodology is proposed for material identification. It is based on the use of a microwave sensor array with the elements of the array resonating at various frequencies within a wide range and applying machine learning algorithms on the collected data. Unlike the previous microwave sensing systems which are mainly based on a single resonating sensor, the proposed methodology allows for material characterization over a wide frequency range which, in turn, improves the accuracy of the material identification procedure. The performance of the proposed methodology is tested via the use of easily available materials such as woods, cardboards, and plastics. However, the proposed methodology can be extended to other applications such as industrial liquid identification and composite material identification, among others.

Cite

CITATION STYLE

APA

Harrsion, L., Ravan, M., Tandel, D., Zhang, K., Patel, T., & Amineh, R. K. (2020). Material identification using a microwave sensor array and machine learning. Electronics (Switzerland), 9(2). https://doi.org/10.3390/electronics9020288

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free