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Artificial Intelligence for Construction Safety: Mitigation of the Risk of Fall

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Intelligent Systems and Applications (IntelliSys 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 869))

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Abstract

Technology is continually being implemented by construction professionals with the goal of improving construction processes and the industry’s glacial pace of change. As we look to new technologies to solve existing problems, we can consider Artificial Intelligence (AI) as a tool to make construction safer and efficient. Through this paper, we explore the ways in which AI can assist in the goal of making construction sites safe. This study proposes the development of an AI platform, which improves construction safety through hazard identification at the pre-construction stage, and suggests the applicable OSHA codes for the identified hazards, thus allowing safety standards to be implemented for compliance. Emphasis is laid on the mitigation of fall hazards, which is the leading cause of accidents in construction. Currently, project safety and risk assessment in the construction industry is carried out by professionals, who heavily rely on their own experiences and knowledge on decision making. There is a lack of a systematic approach and the ways to check the reliability of these decisions. Through the machine learning aspect of AI, we can automate the process and create an environment where potential hazards are identified before they occur with a link to the OSHA standards for recommended mitigation strategies.

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Author information

Authors and Affiliations

  1. Construction Department, Kent State University, Kent, OH, USA

    George F. Bigham

  2. Construction Management Department, Kent State University, Kent, OH, USA

    Simon Adamtey & Lameck Onsarigo

  3. Kent State University, Kent, OH, USA

    Neelima Jha

Authors
  1. George F. Bigham
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  2. Simon Adamtey
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  3. Lameck Onsarigo
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  4. Neelima Jha
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Corresponding author

Correspondence to George F. Bigham .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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Bigham, G.F., Adamtey, S., Onsarigo, L., Jha, N. (2019). Artificial Intelligence for Construction Safety: Mitigation of the Risk of Fall. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 869. Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_76

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