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Research on Blockchain-Based Cereal and Oil Video Surveillance Abnormal Data Storage

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  • Yuan Zhang

    (Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
    Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
    College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Guangyuan Cui

    (Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
    Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
    College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Hongyi Ge

    (Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
    Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
    College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Yuying Jiang

    (Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
    Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
    School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou 450001, China)

  • Xuyang Wu

    (Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
    Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
    College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Zhenyu Sun

    (Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
    Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
    College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Zhiyuan Jia

    (Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
    Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
    College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China)

Abstract

Cereal and oil video surveillance data play a vital role in food traceability, which not only helps to ensure the quality and safety of food, but also helps to improve the efficiency and transparency of the supply chain. Traditional video surveillance systems mainly adopt a centralized storage mode, which is characterized by the deployment of multiple monitoring nodes and a large amount of data storage. It is difficult to guarantee the data security, and there is an urgent need for a solution that can achieve the safe and efficient storage of cereal and oil video surveillance data. This study proposes a blockchain-based abnormal data storage model for cereal and oil video surveillance. The model introduces a deep learning algorithm to process the cereal and oil video surveillance data, obtaining images with abnormal behavior from the monitoring data. The data are stored on a blockchain after hash operation, and InterPlanetary File System (IPFS) is used as a secondary database to store video data and alleviate the storage pressure on the blockchain. The experimental results show that the model achieves the safe and efficient storage of cereal and oil video surveillance data, providing strong support for the sustainable development of the cereal and oil industry.

Suggested Citation

  • Yuan Zhang & Guangyuan Cui & Hongyi Ge & Yuying Jiang & Xuyang Wu & Zhenyu Sun & Zhiyuan Jia, 2023. "Research on Blockchain-Based Cereal and Oil Video Surveillance Abnormal Data Storage," Agriculture, MDPI, vol. 14(1), pages 1-16, December.
    • Handle: RePEc:gam:jagris:v:14:y:2023:i:1:p:23-:d:1305979
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    References listed on IDEAS

    as
    1. Xin Zhang & Yue Li & Xiangzhen Peng & Zhiyao Zhao & Jiaqi Han & Jiping Xu, 2022. "Information Traceability Model for the Grain and Oil Food Supply Chain Based on Trusted Identification and Trusted Blockchain," IJERPH, MDPI, vol. 19(11), pages 1-21, May.
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