Daelim Uses Drones to Detect Defects at Construction Sites
[Asia Economy Reporter Onyu Lim] Daelim Industrial announced on the 7th that it has recruited an expert to increase the utilization of drones at construction sites. This employee holds an instructor qualification, enabling not only drone operation but also training. They visit various sites nationwide to provide drone-related education to Daelim employees.
Recently, drones have been used in various ways at construction sites. They are extensively utilized in surveying work, which is fundamental to construction, across architectural, civil engineering, and plant sites. Drones can capture areas that are difficult for people to access directly, allowing for verification of construction quality or detection of defects. They also help ensure worker safety by preemptively filming blind spots.
In particular, Daelim is recognized for leading digital transformation rapidly in the traditionally conservative construction industry. By actively leveraging big data to realize smart construction, and combining IT technology with advanced construction methods, Daelim aims to simultaneously improve work efficiency, cost innovation, and productivity. Daelim is the first in the industry to apply Building Information Modeling (BIM) to all multi-family housing designs. Additionally, it utilizes photogrammetry technology, which overlaps or composites photos taken from multiple angles during site surveys to create three-dimensional images. Operating drones on-site is essential to use these technologies. Daelim is accelerating the internalization of drone technology so that Daelim employees can directly handle everything from obtaining filming permits to operating drone automatic flights at all sites in the future.
Jungwoon Park, Deputy General Manager of Daelim Industrial’s Technology Planning Team, stated, “Since early this year, we have been actively utilizing drone technology at all sites through technical support,” and added, “We expect to dramatically improve work efficiency through AI autonomous drone flights in the future.”
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