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)
Lead researcher
Digitalisation
- Artificial Intelligence and Machine Learning
- IoT, Sensors and Construction Tech
- Digital Project Management
Artificial Intelligence and Machine Learning
Theme coordinator
Dr Buser Say
Projects
#85 From Digital Design to Human Robot Collaborative Masonry Construction
Light House Project #28: The application of computer vision to measure productivity and enhance safety on construction sites
#53 Process Engineering, and Design and Estimating Automation of Fleetwood’s Product Platform
#50 Development of Artificial Neural Network and Automated Life Cycle Assessments for Cloud Based Residential Energy Estimations
#29 Real-time EH&S Intervention to Improve Site Safety (Scoping Study)
IoT, Sensors and Construction Tech
Theme coordinator
Dr Aravinda Rao
Projects
#85 From Digital Design to Human Robot Collaborative Masonry Construction
Light House Project #28: The application of computer vision to measure productivity and enhance safety on construction sites
Light House Project #1: Monash Smart Manufacturing Hub (mSMH) – A Digital Twin Living Lab
#29 Real-time EH&S Intervention to Improve Site Safety (Scoping Study)
#33 Evaluation of emerging technologies for remote inspections of building work
Digital Project Management
Projects
#93 US Research Tour 2024: San Francisco and Greater Bay area
Light House Project #28: The application of computer vision to measure productivity and enhance safety on construction sites
#61 Building Productivity – Product, Process, People
#17 The implication of Industry 4.0 for the construction industry: towards smart prefab
#12 VR/AR technologies in vocational education and training (scoping study)