Luciano de Brito Staffa Junior, Dayana Bastos Costa, João Lucas Torres Nogueira, Alisson Souza Silva
{"title":"Web platform for building roof maintenance inspection using UAS and artificial intelligence","authors":"Luciano de Brito Staffa Junior, Dayana Bastos Costa, João Lucas Torres Nogueira, Alisson Souza Silva","doi":"10.1108/ijbpa-12-2022-0186","DOIUrl":null,"url":null,"abstract":"PurposeThis work aims to develop a web platform for inspecting roof structures for technical assistance supported by drones and artificial intelligence. The tools used were HTML, CSS and JavaScript languages; Firebase software for infrastructure; and Custom Vision for image processing.Design/methodology/approachThis study adopted the design science research approach, and the main stages for the development of the web platform include (1) creation and validation of the roof inspection checklist, (2) validation of the use of Custom Vision as an image recognition tool, and (3) development of the web platform.FindingsThe results of automatic recognition showed a percentage of 77.08% accuracy in identifying pathologies in roof images obtained by drones for technical assistance.Originality/valueThis study contributed to developing a drone-integrated roof platform for visual data collection and artificial intelligence for automatic recognition of pathologies, enabling greater efficiency and agility in the collection, processing and analysis of results to guarantee the durability of the building.","PeriodicalId":44905,"journal":{"name":"International Journal of Building Pathology and Adaptation","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Building Pathology and Adaptation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijbpa-12-2022-0186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
PurposeThis work aims to develop a web platform for inspecting roof structures for technical assistance supported by drones and artificial intelligence. The tools used were HTML, CSS and JavaScript languages; Firebase software for infrastructure; and Custom Vision for image processing.Design/methodology/approachThis study adopted the design science research approach, and the main stages for the development of the web platform include (1) creation and validation of the roof inspection checklist, (2) validation of the use of Custom Vision as an image recognition tool, and (3) development of the web platform.FindingsThe results of automatic recognition showed a percentage of 77.08% accuracy in identifying pathologies in roof images obtained by drones for technical assistance.Originality/valueThis study contributed to developing a drone-integrated roof platform for visual data collection and artificial intelligence for automatic recognition of pathologies, enabling greater efficiency and agility in the collection, processing and analysis of results to guarantee the durability of the building.
期刊介绍:
The International Journal of Building Pathology and Adaptation publishes findings on contemporary and original research towards sustaining, maintaining and managing existing buildings. The journal provides an interdisciplinary approach to the study of buildings, their performance and adaptation in order to develop appropriate technical and management solutions. This requires an holistic understanding of the complex interactions between the materials, components, occupants, design and environment, demanding the application and development of methodologies for diagnosis, prognosis and treatment in this multidisciplinary area. With rapid technological developments, a changing climate and more extreme weather, coupled with developing societal demands, the challenges to the professions responsible are complex and varied; solutions need to be rigorously researched and tested to navigate the dynamic context in which today''s buildings are to be sustained. Within this context, the scope and coverage of the journal incorporates the following indicative topics: • Behavioural and human responses • Building defects and prognosis • Building adaptation and retrofit • Building conservation and restoration • Building Information Modelling (BIM) • Building and planning regulations and legislation • Building technology • Conflict avoidance, management and disputes resolution • Digital information and communication technologies • Education and training • Environmental performance • Energy management • Health, safety and welfare issues • Healthy enclosures • Innovations and innovative technologies • Law and practice of dilapidation • Maintenance and refurbishment • Materials testing • Policy formulation and development • Project management • Resilience • Structural considerations • Surveying methodologies and techniques • Sustainability and climate change • Valuation and financial investment