Grants and Contributions:
Title:
iVISION: An intelligent AI-enabled virtual progress monitoring decision support tool
Agreement Number:
1019248
Agreement Value:
$515,855.00
Agreement Date:
Jul 9, 2024 - Jun 1, 2027
Description:
The iVISION project will integrate a suite of cutting-edge technologies to create a cohesive and intelligent construction progress monitoring system. At its core, AI will serve as the brain of the operation, employing deep learning algorithms for 3D reconstruction, image analysis, object detection, and regression. Computer vision technology will be seamlessly woven into the system, enabling the AI to interpret and process visual data from high-resolution images captured by unmanned aerial vehicles (UAVs). These UAVs will serve as the eyes of the system, equipped with advanced sensors and cameras to collect real-time data from the construction site. The synergy among these technologies will be the key to success: the UAVs will autonomously survey the construction site, capturing images/videos and data, which will then be transmitted to the AI-powered software. Here, the AI will employ machine learning models trained on a diverse dataset of construction objects to analyze the incoming data, detect progress, and evaluate quantity such as the number of installed stubs, and generate instant inspection reports. This interconnected ecosystem of AI, CV, and UAVs will enable precise, efficient, and real-time construction inspection, revolutionizing the way construction progress is assessed in the construction sector.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Waterloo, Ontario, CA N2L 3G1
Reference Number:
172-2024-2025-Q2-1019248
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119260685
Recipient Type:
Academia
Recipient's Legal Name:
University of Waterloo
Federal Riding Name:
Waterloo
Federal Riding Number:
35114
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710 - R&D in the physical, engineering and life sciences