Light House Project #28: The application of computer vision to measure productivity and enhance safety on construction sites

The current method of recording productivity on construction sites relies heavily on manual inputs limiting both accuracy and efficiency. This project will explore more automated and technologically advanced solutions that can provide real-time, accurate and unbiased data on on-site performance. Such innovations can not only streamline the data collection process but also free up labour resources to focus on essential construction activities, ultimately leading to more efficient and reliable project outcomes.

Project team: Prof. Tuan Ngo, Dr Paul Reichl, Dr Amir Soroush, Ed Muthiah, Jay Humble, Research Assistants (TBC)

Associated organisations: LXRP