Building Envelope Deterioration with Machine Learning and Computer Vision
Preferred Disciplines: Intern 1: Computer Science, Ph.D. or PDF, Intern 2: Civil Engineering, P.Eng.Company: N/AProject Length: 4-6 monthsDesired start date: Early 2016Location: Waterloo, ON – Intern 2 potential travel within GTA and KW areaNo. of Positions: 2Preferences: N/A About the Company: The company has been scanning the exterior of mid and high-rises since 2010 using robots and drones to capture the most information for managers and owners to make better decisions about their assets. Project Description: The project will involve aiding the creation of algorithms to detect and predict building envelope deterioration. Research will begin with review of current practices ranging from facial recognition to pavent crack recognition which already exisit to move towards exterior building issues such as cracks, missing caulking, missing panels etc. Research Objectives: The creation of a…
Link to Full Article: Building Envelope Deterioration with Machine Learning and Computer Vision
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