Development of a mobile phone-based application for detection and communication of building defects

Abstract:

Accurate detection of building defects and communication to stakeholders with prudent use of invested resources, e.g., time, manpower, and money, increases value delivery to all stakeholders involved in the building delivery. This paper presents a prototype developed to facilitate enhanced value delivery for building defects inspection during building construction and management. With image classification and cloud database technologies, this study proposes a mobile (phone-based) machine learning application to raise awareness of building defects located in buildings and the implications to motivate building stakeholders to promptly reduce the risk level. The benefits of the developed prototype can further be enhanced when the developed prototype is integrated with drones. The adoption of the developed prototype will vary depending on the cause and context of the defined building defects detection and communication problems to be addressed.

Keywords: Building defects, Defects detection, Defects communication, Mobile cloud computing, Machine learning

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Cite as: “Kng JHJ and Fadeyi MO (2022). Development of a mobile phone-based application for detection and communication of building defects. Built Environment Applied Research Sharing #10 (Technical Note). ISSUU Digital Publishing.”

Published by Moshood Olawale Fadeyi

Assoc. Prof. Moshood Olawale Fadeyi is an Associate Professor of Sustainable Building Value Delivery Education at the Singapore Institute of Technology. He holds four university degrees, including a Ph.D. in Indoor Environment and Energy from the National University of Singapore and the Technical University of Denmark. He is architecture (BSc Arch and M.Arch.), building science (MSc.), and engineering (Ph.D.) trained. He is an architect, an indoor air quality expert, chartered engineer (UK) – building services, chartered construction manager (UK), cartoonist, and specialist adult educator. He is a member of the Chartered Institution of Building Services Engineers (UK), Chartered Institute of Building (UK), and American Society of Heating, Refrigerating, and Air-conditioning Engineers. He is well suited for architecture, interior design, building science, and architectural/building services engineering education. He has experience and expertise in developing undergraduate and postgraduate curricula to make students job-ready upon graduation. Since 2018, Assoc. Prof. Fadeyi focuses more on education. His education practice includes research that aims to understand how students, industry professionals, and the public should be educated to develop the fundamental knowledge and skillsets for defining and solving a problem for value delivery instead of solving a problem that does not exist or just providing a solution to a problem that exists. The theme of his education practice is sustainable building value delivery education. Under this theme, he has in-depth expertise in indoor air quality value delivery education and value-oriented productivity education (in sustainable design, construction, and facility management practices). His education practice is enhanced by his fundamental knowledge and skillsets in design, critical, reflective, scientific, and lean thinking, fine art, oral and written communication, building information modelling and other digital solutions adoption, and storytelling. Assoc. Prof. Fadeyi has published more than 200 applied learning, discovery research, and literature review articles and creative works (fine art and creative writing) contributing to applied learning pedagogy enhancement and scientific evidence on new knowledge. His expertise and leadership are highly sought after by companies and government agencies. He is the Editor, Author, and Cartoonist of Indoor Air Cartoon Journal – a creative and applied learning journal providing education on indoor air quality, with audiences from over 100 countries. He is a former National Taekwondo Champion in Singapore - Black Belt Middle-Heavy Weight category, 2006.

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