Concrete flow transformer: predicting fresh concrete properties from concrete flow using vision transformers

Abstract: This paper presents a novel approach for an automatic and holistic quality assessment of fresh concrete on the construction site. Based on a low-cost and easy-to-mount camera setup, delivering image sequences showing the concrete flow during the discharge process of a mixing truck, we propose the Concrete Flow Transformer, a deep learning approach based on Vision Transformers, for the online prediction of fresh concrete properties. The performance of the proposed approach is evaluated based on a challenging real-world data set, demonstrating highly convincing results for the prediction of both, the consistency and rheological parameters of the fresh concrete.