Automated retrieval of photo data for asset information requirements (AIR) input using Python


This study provides a potential solution that may improve productivity in the current facility management industry. An accurate and updated building asset information plays a crucial role in ensuring facilities management’s effectiveness and efficiency. Maintenance and operation require accurate building asset information to improve the maintenance process. An automated solution has earlier been developed to extract data from the equipment asset list in PDF files to the AIR template in excel. However, to ensure that the extracted information from the equipment asset list is accurate and updated, the AIR template must be verified against the onsite images. The current practice in the industry involves manual entry of information from images as well as the manual verification process. This practice requires more staff and time needed to consolidate the image information. With the increasing number of image information to consolidate, the rate of error also increases. An automated solution is developed and tested to extract data from images and to verify the AIR template for PDF files in this study. The solution aims to reduce staff and time needed to complete the task without compromising the accuracy. The developed solution’s test results show that it can reduce the time taken significantly and improve accuracy during data collection and verification. The survey done after the test provides insights and possible improvement for the developed solution.

Keywords: Asset Information Requirements (AIR), Digital Facility Management, Productivity, Python, Automated Image Retrieval

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Cite as: “Kwok NQ, Fadeyi MO, and Low MYH (2021). Automated retrieval of photo data for asset information requirements (AIR) input using Python. Built Environment Applied Research Sharing #06. ISSUU Digital Publishing.”

Published by Moshood Fadeyi

Dr. Moshood Olawale Fadeyi, a creative professor, is an Associate Professor of Sustainable Building Value Delivery at the Singapore Institute of Technology. Dr. Fadeyi holds four university degrees, including a Ph.D. in Indoor Environment and Energy from the National University of Singapore and Technical University of Denmark. Dr. Fadeyi is architecture (BSc Arch and M.Arch.), building science (MSc.), and engineering (Ph.D.) trained. Dr. Fadeyi is an architect, an indoor air quality expert, chartered engineer (UK) – building services, chartered construction manager (UK), and specialist adult educator. Dr. Fadeyi 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. Currently, Dr. Fadeyi research aims to enhance applied learning pedagogy to make students job-ready upon graduation and improve industry and community practices. His applied learning pedagogy enhancement is informed by applied research, artistic research, and case study research grounded in design, critical, reflective, scientific, and lean thinking and digital solutions adoption. He has written more than 180 published scholarly and peer-reviewed articles in line with applied learning pedagogy enhancement and basic research. Dr. Fadeyi research and scholarship domain are in (i) value-oriented productivity in healthy and energy-efficient indoor air delivery, (ii) value-oriented productivity in design, construction, and facility management practices, and (iii) problem-based learning. Dr. Fadeyi researches to educate and solve industry and community-related problems. Dr. Fadeyi expertise and leadership are highly sought after by companies and government agencies. Dr. Fadeyi is the Editor, Author, and Cartoonist of Indoor Air Cartoon Journal – an online learning resource providing applied learning on IAQ with audiences from over 100 countries. Dr. Fadeyi is a former National Taekwondo Champion in Singapore - Black Belt Middle-Heavy Weight category, 2006.

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