Advancing Automated Construction: Pose Estimation with Fiducial Markers

This project will develop a prototype technology to guide cranes to automatically place building elements using visual reference markers (QR codes). Working with Sparkbird, the R&D arm of WZMH, two interns will develop a software application to estimate the relative positions of the element to be placed with existing elements and the crane, allowing for this process to be conducted more quickly and more safely. The performance of this systemcompared with typical construction methods will also be compared to determine the return on investment for this equipment and provide valuable case studies to support marketing of the project. WZMH will benefit from this
project as it will allow them to overcome the technical hurdles required to bring this product to market.

Faculty Supervisor:

Ehsan Rezazadeh Azar

Student:

Partner:

WZMH Architects

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program: