Grants and Contributions:

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Title:

Advanced system for heightened situational awareness and risk management in construction projects

Agreement Number:

CRDPJ

Agreement Value:

$155,999.00

Agreement Date:

Jan 10, 2018 -

Organization:

Natural Sciences and Engineering Research Council of Canada

Location:

Quebec, CA

Reference Number:

GC-2017-Q4-01959

Agreement Type:

Grant

Report Type:

Grants and Contributions

Additional Information:

Grant or Award spanning more than one fiscal year (2017-2018 to 2020-2021).

Recipient's Legal Name:

Yu, Jia Yuan (Concordia University)

Program:

Collaborative Research and Development Grants - Project

Program Purpose:

The goal of this project is to improve the safety, efficiency, and accountability of large construction projects. Such projects are very complex, involving expensive heavy equipment and human resources, and typically very difficult to manage. We propose to design and develop a decision-support system that helps the management through automated safety alerts, performance metrics, and record keeping. The system takes as input data from internet-connected sensors, including cameras, deployed on the construction sites. With the help of domain experts from construction companies and GreenOwl, we develop algorithms for equipment, human, and event detection for use specifically in the construction domain. Our proposed system is a one-of-its-kind application of cutting edge machine learning to the area of construction projects. The record keeping feature of this system will also contribute indirectly to deter safety protocol violations, corruption, and inefficiencies in large-scale construction projects.