• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.766-771
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• 2008

In this paper, we propose a system of mimicking image classification for building database system. It better manages the format which recording the same advertisements multimedia in advertisements image. Recently, the work of converting database is made directly by the people. This work doses the media scanning, image editing and saving, and saving of advertising information (date, the media, the page and size, so far). Therefore, it is wasted a lot of time and manpower as inefficient business. To solve these problems, first of all we gain an image by digital camera, extract and classify candidate area of advertisements. Accordingly, our system saves database to comparison of the mimicking of all advertising and classify whether area of image is the new or existing advertising.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.04a
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• pp.225-226
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• 2022

The construction industry, which has a labour-intensive and conservative nature, is exclusive to adopt new technologies. However, the construction industry is viably introducing the 4th Industrial Revolution technologies represented by artificial intelligence, Internet of Things, robotics and unmanned transportation to promote change into a smart industry. An image-based artificial intelligence technology is a field of computer vision technology that refers to machines mimicking human visual recognition of objects from pictures or videos. The purpose of this article is to explore image-based artificial intelligence technologies which would be able to apply to the construction sites. In this study, we show two examples which is one for a construction waste classification model and another for cast in-situ anchor bolts defection detection model. Image-based intelligence technologies would be used for various measurement, classification, and detection works that occur in the construction projects.