A Perspective on AI-Based Image Analysis and Utilization Technologies in Building Engineering: Recent Developments and New Directions

• Published in: Buildings (Basel) 2023-04, Vol.13 (5), p.1198
• Main Authors: Paduano, Ivan, Mileto, Andrea, Lofrano, Egidio
• Format: Article
• Language: English
• Subjects: Algorithms; Artificial intelligence; building engineering; Building information modeling; Cameras; Construction; Damage detection; Data analysis; Deep learning; Engineering; Heat detection; Image analysis; Image processing; Internet of Things; Lasers; Machine learning; Object recognition; Pattern recognition; perspective; Photogrammetry; photographic survey; Photography; Semantics; Structural engineering; Surveys; Thermal imaging; Unmanned aerial vehicles
• ISSN: 2075-5309; 2075-5309
• DOI: 10.3390/buildings13051198

Artificial Intelligence (AI) is a trending topic in many research areas. In recent years, even building, civil, and structural engineering have also started to face with several new techniques and technologies belonging to this field, such as smart algorithms, big data analysis, deep learning practices, etc. This perspective paper collects the last developments on the use of AI in building engineering, highlighting what the authors consider the most stimulating scientific advancements of recent years, with a specific interest in the acquisition and processing of photographic surveys. Specifically, the authors want to focus both on the applications of artificial intelligence in the field of building engineering, as well as on the evolution of recently widespread technological equipment and tools, emphasizing their mutual integration. Therefore, seven macro-categories have been identified where these issues are addressed: photomodeling; thermal imaging; object recognition; inspections assisted by UAVs; FEM and BIM implementation; structural monitoring; and damage identification. For each category, the main new innovations and the leading research perspectives are highlighted. The article closes with a brief discussion of the primary results and a viewpoint for future lines of research.