Odor identification is an important area in a wide range of industries like cosmetics, food, beverages and medical diagnosis among others. Odor detection could be done through an array of gas sensors conformed as an electronic nose where a data acquisition module converts sensor signals to a standard output to be analyzed. To facilitate odors detection a system is required for the identification. This paper presents the results of an automated odor identification process implemented by a fuzzy system and an electronic nose. First, an electronic nose prototype is manufactured to detect organic compounds vapor using an array of five tin dioxide gas sensors, an arduino uno board is used as a data acquisition section. Second, an intelligent module with a fuzzy system is considered for the identification of the signals received by the electronic nose. This solution proposes a system to identify odors by using a personal computer. Results show an acceptable precision.
Cite
@article{arxiv.1905.00991,
title = {A Fuzzy Inference System for the Identification},
author = {Jose de Jesus Rubio and Ramon Silva Ortigoza and Francisco Jacob Avila and Adolfo Melendez and Juan Manuel Stein},
journal= {arXiv preprint arXiv:1905.00991},
year = {2019}
}