Literature DB >> 31661401

Improved safety checklist analysis approach using intelligent video surveillance in the construction industry: a case study.

Shengyu Guo1, Jichao Li1, Kongzheng Liang2, Bing Tang1.   

Abstract

The construction industry is extremely high risk, and safety checklist analysis is a widely used approach for safety assessment. To overcome its limitations, this article proposes an improved safety checklist analysis approach using intelligent video surveillance to replace on-site inspection. Then, a case study on metro tunnel construction is adopted to illustrate the process. First, the checklist is prepared. Second, the inspection items are correlated with construction areas, and intelligent cameras are positioned to cover the major areas of the construction site to guarantee that all the items can be checked. Thus, problems with inspection items are automatically identified and recorded. Third, the inspection items are marked by a remote scoring mechanism for safety assessment. Finally, the efficiency of the improved approach is tested by a comparative analysis among three groups. The application results indicate the feasibility of the improved approach for evaluating the safety management performance at construction sites.

Entities:  

Keywords:  construction; intelligent video surveillance; occupational safety; safety checklist analysis; safety inspection

Mesh:

Year:  2019        PMID: 31661401     DOI: 10.1080/10803548.2019.1685781

Source DB:  PubMed          Journal:  Int J Occup Saf Ergon        ISSN: 1080-3548


  2 in total

1.  Exploring the Impact of Unsafe Behaviors on Building Construction Accidents Using a Bayesian Network.

Authors:  Shengyu Guo; Jiali He; Jichao Li; Bing Tang
Journal:  Int J Environ Res Public Health       Date:  2019-12-27       Impact factor: 3.390

2.  Hazard Recognition Patterns Demonstrated by Construction Workers.

Authors:  S M Jamil Uddin; Alex Albert; Abdullah Alsharef; Bhavana Pandit; Yashwardhan Patil; Chukwuma Nnaji
Journal:  Int J Environ Res Public Health       Date:  2020-10-24       Impact factor: 3.390

  2 in total

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