Reference number : 172-2024-2025-Q2-1019248, amendment number : , agreement type : G, recipient legal name : University of Waterloo, recipient country : CA, recipient province : ON, recipient city : Waterloo|Waterloo, recipient postal code : N2L 3G1, program name english : Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives, program name french : Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D, program purpose english : 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., program purpose french : Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires., agreement title english : iVISION: An intelligent AI-enabled virtual progress monitoring decision support tool, agreement title french : iVISION : un outil intelligent fondé sur l'IA pour le suivi virtuel des progrès et l'aide à la décision, agreement number : 1019248, agreement value : 515855.0, agreement start date : 2024-07-09, agreement end date : 2027-06-01, description english : 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., description french : iVISION : un outil intelligent fondé sur l'IA pour le suivi virtuel des progrès et l'aide à la décision, expected results english : 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., expected results french : À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides., additional information english : nan, additional information french : nan, owner organization : nrc-cnrc, owner organization title : National Research Council Canada | Conseil national de recherches Canada