A rough set fuzzy logic algorithm for visual tracking of blockchain logistics transportation labels

Abstract

The development of blockchain technology has introduced new elements to the logistics service supply chain, which provides solutions to the related problems in the development at present. In this paper, mainly the relevant contents of blockchain technology are analyzed. At the same time, the composition and application of the logistics service supply chain algorithm based on the blockchain technology are clarified. A fuzzy logic algorithm logistics based on the rough set visual image label tracking method is put forward for container transportation to address the problems in the application process. The overall visual features of the container are taken as the label feature, and the image segmentation transformation method is used to extract the features from the images collected from container logistics transportation, which has provided a basis for the logistics transportation visual tracking. The background is separated based on the key feature frames of the container images collected. The separated features are recorded, and the similarity of the features is used to complete the visual tracking of logistics transportation. The experimental results suggest that the application of the proposed method to the visual tracking of container logistics transportation can improve the accuracy of container tracking.