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基于具有智能定制对象识别功能的物联网设备的区块链行业信息交接

Blockchained Industry Information Handoff Based on Internet of Things Devices with Intelligent Customized Object Recognition.

作者信息

Jian Ming-Shen, Pan Chin-Ju

机构信息

Department of Computer Science and Information Engineering, National Formosa University, No. 64, Wunhua Rd., Huwei Township, Yunlin 632, Taiwan.

Department of Computer Science and Engineering, National Quemoy University, No. 1, University Rd., Jinning Township, Kinmen 892, Taiwan.

出版信息

Sensors (Basel). 2022 Mar 17;22(6):2312. doi: 10.3390/s22062312.

Abstract

To determine the quality and safety of each product used in manufacturing, the exchange of measured data between machines, operators, production lines, and manufacturing companies is crucial. In this study, we developed a system with customized object recognition capability for the secure blockchain-based transfer of industry information through Internet of Things (IoT) devices. In the proposed system, product history data are transferred through blockchains through artificial intelligence (AI)-based object recognition. Individual objects are recognized and represented using a unique number sequence for use as a private key on a blockchain. The data history can be automatically secured, and all the data are traceable and trackable. The reliability and validity of the proposed system were verified using the Jetson Nano Developer Kit. The proposed AI-based system is a low-cost embedded system. Based on the open-source cloud computing platform, the required computing resources for blockchain computing and storage are available. In an experiment, the proposed system achieved >99% accuracy within 1 s. Furthermore, the computational cost of the proposed system was 10% that of traditional AI systems. The proposed device can be rapidly connected to IoT devices that require limited manual operation and can be adopted in manufacturing and production lines.

摘要

为确定制造过程中使用的每种产品的质量和安全性,机器、操作员、生产线和制造公司之间测量数据的交换至关重要。在本研究中,我们开发了一种具有定制对象识别能力的系统,用于通过物联网(IoT)设备基于区块链安全地传输行业信息。在所提出的系统中,产品历史数据通过基于人工智能(AI)的对象识别通过区块链进行传输。使用唯一数字序列识别和表示单个对象,用作区块链上的私钥。数据历史可以自动得到保障,所有数据都可追溯和跟踪。使用Jetson Nano开发者套件验证了所提出系统的可靠性和有效性。所提出的基于AI的系统是一种低成本嵌入式系统。基于开源云计算平台,可获得区块链计算和存储所需的计算资源。在一项实验中,所提出的系统在1秒内实现了>99%的准确率。此外,所提出系统的计算成本是传统AI系统的10%。所提出的设备可以快速连接到需要有限人工操作的物联网设备,并可应用于制造和生产线。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b762/8954052/c08ee6df6368/sensors-22-02312-g001.jpg

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