Transforming Compliance Checking in Construction: The Power of Visual Computing and Deep Learning
Centre for Smart Modern Construction is an industry collaboration initiative dedicated to embracing smart technologies and processes at Western Sydney University’s School of Engineering, Design, and Built Environment. This centre has garnered global recognition for its cutting-edge technological research and unwavering commitment to knowledge transfer. Prasad Perera is a Doctoral Researcher and casual academic with over 12 years of experience in the sphere of construction digitalisation, Prasad Perera is engaged in a ground-breaking research project.
A Collaborative Endeavour with Profound Implications
The research project is mentored by a team of accomplished supervisors, including Professor Srinath Perera, Associate Professor Xiaohua Jin, Dr. Maria Rashidi, Gina Yazbek, Andrew Yazbek, and Dr. Samudaya Nanayakkara. The significance of this venture is the co-funding provided by Commnia Pty Ltd, highlighting the pivotal importance of bridging the gap between academia and industry.
Revolutionising Compliance with Deep Learning
At its core, the research project is poised to reshape the construction industry by developing a state-of-the-art Deep Learning-based methodology. This innovative approach leverages data from building information models and images to assess compliance in constructed building elements. The central objective is to automate compliance checking processes, making them more efficient and, importantly, to provide valuable insights into strategies for cost mitigation.
Digital Transformation Reshaping Construction
The construction industry is currently undergoing a rapid transformation driven by digital technologies. From Building Information Modelling (BIM) to Artificial Intelligence (AI), the integration of these advanced tools is leading to a sector-wide revolution. The impact is evident in enhanced productivity, efficiency, sustainability, and safety standards.
The application of Artificial Intelligence in construction has witnessed a remarkable surge. The significance in AI in construction can be seen with the level of investment and it will play a pivotal role in shaping the future of the construction industry while it will act as a driver of digitalisation. Further emphasis on transformative potential of AI-related technologies, including ML/DL, Natural Language Processing (NLP), Computer Vision (CV), and Robotics should be identified through the latest research trends.
A Glimpse into the Future
The implementation of the software prototype promises to benefit building inspectors, engineers, and builders who seek to ensure compliance with construction elements in their projects. Further, it promises to offer ground-breaking solutions to the challenges of compliance within the construction industry. Further, it has the potential to improve a substantial financial burden on the Australian economy. Beyond the economic impact, this research promises to enhance the sustainability of the construction sector, a transformation with wide-reaching implications for environmental, societal, and national development. This research endeavour aspires to further enhance the industry’s efficiency, safety, and compliance standards, paving the way for a brighter future.
Prasad Perera is a Doctoral Researcher at Centre for Smart Modern Construction (c4SMC), School of Engineering, Design and Built Environment, Western Sydney University, Australia. His PhD research is focused on the use of Artificial Intelligence and Deep Learning for Construction Compliance.
Before joining Western Sydney University, he was serving as the Director – Business Development at NEXTEC Engineering (PVT) Ltd which is a leading Engineering consultancy firm in Sri Lanka serving several mega projects in the region.
His academic engagements include serving as a visiting lecturer at University of Moratuwa, Sri Lanka and for universities in UK, Australia, Thailand, and Malaysia in his expert spheres of Information Technology Management, Enterprise Resource Planning Systems, Construction Management Systems, Enterprise Project Management System etc. His research interests include Deep Learning for Construction, Visual Computing for Construction, Artificial Intelligence, Construction Compliance, Enterprise Resource Planning Systems, and Management Information Systems.
Commnia is proud to sponsor Prasad’s research, recognizing the immense value and potential impact of his work. We believe in fostering a culture of innovation and academic excellence, and Prasad’s research exemplifies these qualities. His dedication and commitment to advancing knowledge in his field are truly commendable, and we are thrilled to be a part of his research journey.