Algorithm of Smart Building Supervision for Detecting and Counting Column Ties Using Deep Learning

The Building Supervision of South Korea has been developed under the government′s desire to prevent poor construction and improve quality buildings promote a safer life for people. Although building environment today achieved through several improvements, introduction such technology is insufficient. Especially since supervision primarily carried out almost by manpower, in an era where numerous convergence technologies from 4th industry are being utilized. Therefore, this study aimed solve inefficiency system using object detection deep learning BIM environment. As basic develop smart checking that checks whether information on site matches design information, column ties were selected as item, research was conducted. For this, we constructed tie network suggested algorithm between Through it possible confirm possibility practical work efficiency work, furthermore, see technology.