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Grant: Collaborative Research and Development Grants

Concordia University

$13,600.00

CONSTRUCTION JOBSITE MONITORING WITH MULTIPLE VIDEO CAMERAS

FY 2015-16

Summary
The main objective of this Collaborative Research and Development (CR&D) project is to create a novel vision-based prototype that could help Hydro-Québec monitor the use of labor and equipment resources at construction jobsites. Currently, Hydro-Québec mainly relies on the regular observations from field inspectors to manually perform jobsite monitoring. This manual monitoring practice is not available in all construction projects. Also, it could not monitor the labor and equipment resources all the time. Considering these limitations, Hydro-Québec plans to install multiple video cameras at the jobsites to facilitate the monitoring work of the field inspectors. The prototype created in this CR&D project is expected to automatically retrieve the labor and equipment information from the jobsite videos captured by these cameras. It first uses the video streams to generate the 3D point cloud of the jobsite. Then, construction workers and equipment in the point cloud are detected and tracked along the timeline. Based on the detection and tracking results, the working hours of the labor and equipment resources at the jobsite are statistically analyzed and associated with the jobsite work zones. This way, Hydro-Québec has a preliminary idea about the actual labor and equipment costs incurred in each work zone for the sake of detecting potential cost overruns. There are two major benefits associated with the prototype. First, it will significantly reduce the manpower and money required in the current manual monitoring practice. In addition, the monitoring with video streams could help Hydro-Québec detect potential project delays in terms of equipment and labor utilization as early as possible.
Program
Collaborative Research and Development Grants
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
485527-2015
Name nom
Zhu, Zhenhua
Department département
Building, Civil and Environmental Engineering
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
Award amount
13600
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1001
Area of application group en
Northern development
Area of application group fr
Développement du nord
Area of application en
Construction, transportation and communications
Area of application fr
Construction, transports et communications
Research subject code
1001
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Construction engineering and management
Research subject fr
Génie et gestion du bâtiment
Partie
1
Nb partie
1
Application title
CONSTRUCTION JOBSITE MONITORING WITH MULTIPLE VIDEO CAMERAS
Keyword
NSERC
Application summary
The main objective of this Collaborative Research and Development (CR&D) project is to create a novel vision-based prototype that could help Hydro-Québec monitor the use of labor and equipment resources at construction jobsites. Currently, Hydro-Québec mainly relies on the regular observations from field inspectors to manually perform jobsite monitoring. This manual monitoring practice is not available in all construction projects. Also, it could not monitor the labor and equipment resources all the time. Considering these limitations, Hydro-Québec plans to install multiple video cameras at the jobsites to facilitate the monitoring work of the field inspectors. The prototype created in this CR&D project is expected to automatically retrieve the labor and equipment information from the jobsite videos captured by these cameras. It first uses the video streams to generate the 3D point cloud of the jobsite. Then, construction workers and equipment in the point cloud are detected and tracked along the timeline. Based on the detection and tracking results, the working hours of the labor and equipment resources at the jobsite are statistically analyzed and associated with the jobsite work zones. This way, Hydro-Québec has a preliminary idea about the actual labor and equipment costs incurred in each work zone for the sake of detecting potential cost overruns. There are two major benefits associated with the prototype. First, it will significantly reduce the manpower and money required in the current manual monitoring practice. In addition, the monitoring with video streams could help Hydro-Québec detect potential project delays in terms of equipment and labor utilization as early as possible.