Advancement of real-time analysis technology for concreate compaction position for practical use in various construction sites

Abstract

The quality of construction work in Japan is supported by the experience and skills of workers in many aspects, and concrete work, especially placing concrete and compaction by vibrators, is no exception to this rule. This research aims to develop a method to quantitatively analyze the compaction points by using artificial intelligence to capture video images of concrete workers, and to realize quantitative management through demonstration experiments, instead of the conventional qualitative management based on individual workers' experience and know-how. In this paper, the algorithm of the method is redesigned and improved to solve the problems such as the coloring of the vibrator and the application in areas where radio waves are not available, and the results show that the method can be applied to practical use.