Artificial Intelligence Marvelous Approach for Occupational Health and Safety Applications in an Industrial Ventilation Field: A Short-systematic Review

Teerayut Sa-ngiamsak, Tomi Zlatar, Anamai Thetkathuek

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The evolution of technology in twenty-first century particularly in the era of industrial 4.0 had brought an artificial intelligence (AI) and its subset machine learning (ML) into the real-world applications. This study was conducted to present a short review on the artificial intelligence approach for occupational health and safety applications focusing in an industrial ventilation. The searches were performed over 3 available electronics data bases including ScienceDirect, SCOPUS and Sprinker-Link. There were 503 articles found in total; combined with 18 articles, relevant to the topic, sought and selected from the search engines. Only 7 were considered meeting with the inclusion criteria. The study showed that there were three major categories, if considering base on types of dataset and data acquisition, which consisted of computer vision, various sensors and the historical dataset. Each category was unique to its own implementation depending on difference in an individual feature of interests. The ML application showed efficient performance and looming for the bright prospects in the present and near future.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer Science and Business Media Deutschland GmbH
Pages529-540
Number of pages12
DOIs
Publication statusPublished - 2023
Externally publishedYes

Publication series

NameStudies in Systems, Decision and Control
Volume449
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Keywords

  • Artificial intelligence
  • Industrial ventilation
  • Machine learning
  • Occupational health and safety

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