Application of Cloud Video Information Processing Technology in Alleviating the Food Safety Trust Crisis

Abstract

In view of the current consumer trust crisis in food safety, some researchers proposed to build a reliable food safety traceability system solution. Because the food safety traceability system requires storing and processing of massive video data, this paper proposes to build a reliable food safety traceability system by introducing cloud storage technology into video surveillance system. Hadoop platform is built to store and process massive monitoring of video data. In addition, in order to make use of Map Reduce framework for parallel computing, this paper optimizes the traditional particle filter target tracking algorithm, and proposes using the parallel computing framework Map Reduce in Hadoop to achieve the parallel computing of all particles in particle filter. Finally, the simulation results show that when the number of videos is large, the time of parallel processing is obviously shorter than that of single-machine mode. And as the video data becomes larger and larger, the advantages of parallel processing become more and more obvious.