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dc.contributor.authorNarlan, Ryandra
dc.date.accessioned2025-06-05T10:36:11Z
dc.date.available2025-06-05T10:36:11Z
dc.date.issued2023-02-15
dc.identifier.issn2962-2697
dc.identifier.urihttp://hdl.handle.net/123456789/56265
dc.description.abstractCurrently, computer vision, which is subfield of artificial intelligence, has been applied in various fields such as health, agriculture, transportation and construction. Along with the development of information technology, it is possible to apply computer vision with high accuracy and speed in the construction field. This paper aims to review articles on the utilization of computer vision in the construction field. Many artificial intelligence models developed today can be used in the construction field. The YOLO model is widely used in the construction field, including classifying and detecting damage to road pavement, counting the number of vehicles, detecting the use of personal protective equipment, detecting cracks in building structures, and monitoring unsafe conditions of workers in construction areas.en_US
dc.publisherUniversitas Islam Indonesiaen_US
dc.subjectComputer vision, Artificial intelligence, Pavement condition, Constructionen_US
dc.titlePenerapan Visi Komputer Dalam Bidang Konstruksien_US
dc.typeArticleen_US


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