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Using Unmanned Aerial Systems for Automated Fall Hazard Monitoring in High-Rise Construction Projects



Details

  • Personal Author:
  • Description:
    Unmanned Aerial Systems (UASs), a.k.a. drones, are flying agents that operate under remote control without a pilot on board. One emerging technique for using UASs in the construction industry is applying photogrammetry methods to visual data acquired by the UAS. Within the last decade, researchers have heavily focused on developing computer vision techniques for automating various operations, including detecting job site hazards and safety-related issues and conducting automated and semi-automated safety inspections. These techniques are based on processing either images or videos, and civil infrastructure computer vision has been a well-established and well-studied area among the construction research community. The goal of this project was to use UASs as a data collection platform, combining the data with novel computer vision techniques to create an automated fall hazard detection and monitoring system. The specific objective was to investigate the practical implementation of UASs for monitoring guardrails near unprotected edges and openings. To achieve this objective, a real-time video feed of the construction site was collected using an UAS, and then an image-processing algorithm was developed and tested for guardrails detection from true-color images. This project adopted a case study approach to investigate the technical development of the hazard identification system and then its implementation and testing in a high rise construction project. The outcomes of the research illustrated that the proposed automated fall hazard recognition system could facilitate recognition of guardrails in high-rise construction projects. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • Publisher:
    CPWR-The Center for Construction Research and Training
  • Document Type:
    Text
  • Funding:
    Cooperative Agreement
  • Genre:
    Report
  • Place as Subject:
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • Pages in Document:
    1-17
  • NIOSHTIC Number:
    nn:20070042
  • Citation:
    Silver Spring, MD: CPWR-The Center for Construction Research and Training, 2020 Jun; :1-17
  • Federal Fiscal Year:
    2020
  • Performing Organization:
    CPWR - The Center for Construction Research and Training, Silver Spring, Maryland
  • Peer Reviewed:
    False
  • Start Date:
    20090901
  • Source Full Name:
    Using unmanned aerial systems for automated fall hazard monitoring in high-rise construction projects
  • End Date:
    20240831
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:a65036fe653edb4a96a128079449af8b2bf27b6bebd016910a37e5203cfb52d176fdfdff85a7d23545145643d314eeed6f4edfbe7587e7a6639ff27378af22d5
  • Download URL:
  • File Type:
    Filetype[PDF - 4.47 MB ]
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