CASE STUDY OF ARTIFICIAL INTELLIGENCE AT CONSTRUCTION SITES

Abstract

At the Ministry of Land, Infrastructure and Tourism, accumulation of weight for the materials brought into the construction yard by crane is implementing as one of the methods for grasping the production amount at the construction site. In order to accumulate the amount of production as weight, three elements such as material type, weight, and transport location are necessary. In the trial construction, materials were classified by video recording, weight was measured by crane scale, and the transportation location was determined by the location information system. The transportation location is for determining whether the material is loaded into or unloaded from the construction yard, or moved within the yard, and does not require high accuracy in the measurement coordinates. This article is describing the method for grasping the approximate plane position of the crane scale in real time by using triangulation from two fixed-point camera images and crane scale data which is gained from the learning data of the object detection algorithm YOLO tried by automatic distinction of material type.