Industrial IoT Technologies and Applications. Second EAI International Conference, Industrial IoT 2017, Wuhu, China, March 25–26, 2017, Proceedings

Research Article

Smart Home Monitoring System Based on SOC

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  • @INPROCEEDINGS{10.1007/978-3-319-60753-5_21,
        author={Haiquan Ma and Ping Wang and Hong Fan and Wujun Xu},
        title={Smart Home Monitoring System Based on SOC},
        proceedings={Industrial IoT Technologies and Applications. Second EAI International Conference, Industrial IoT 2017, Wuhu, China, March 25--26, 2017, Proceedings},
        proceedings_a={INDUSTRIALIOT},
        year={2017},
        month={9},
        keywords={Smart home Zynq-7000 AP SoC Face recognition WeChat applications Hardware acceleration},
        doi={10.1007/978-3-319-60753-5_21}
    }
    
  • Haiquan Ma
    Ping Wang
    Hong Fan
    Wujun Xu
    Year: 2017
    Smart Home Monitoring System Based on SOC
    INDUSTRIALIOT
    Springer
    DOI: 10.1007/978-3-319-60753-5_21
Haiquan Ma1,*, Ping Wang1,*, Hong Fan1,*, Wujun Xu1,*
  • 1: Donghua University
*Contact email: mahaiquan8@163.com, PingWang@dhu.edu.cn, dhfanhong@dhu.edu.cn, WujunXu@dhu.edu.cn

Abstract

Smart home technologies can provide financial savings, enhance convenience for consumers, contribute to more ecological and sustainable living, and reinforce the buyer’s sense of safety and security. The Zynq-7000 AP SoC device is based on the Xilinx All Programmable SoC architecture. These products integrate a dual core ARM Cortex-A9 MPCore based PS and PL in a single device. The PS is equipped with two Gigabit Ethernet Controllers. The goal of this paper is to present a smart home monitoring system, which utilizes face detection as identification. Combining with SOC technology, ZYNQ platform is used to accelerate the speed of video image processing and identification. The system consists of video image acquisition module, control recognition processing module and information display interactive module. With the intelligent analysis, early notice and warning on collected video information informs users via WeChat. The system meets the miniaturization, integration of the home environment at the same time to be more secure and fast real-time information feedback.