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New Customizable Smart Home System Design Based on Raspberry Pi

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Advanced Manufacturing and Automation XII (IWAMA 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 994))

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Abstract

This solution aims to solve the problems of single control method, cumbersome operation, and difficulty in interconnection between devices in the smart home system on the market. Designed a Raspberry Pi as the main control platform, using voice interaction, face recognition, gesture recognition, posture recognition, APP mobile terminal and other multi-operation methods to control home equipment, built on the MQTT protocol a light, self-contained Defined smart home system. In this system, an EMQ proxy server is built to realize the network communication of the smart home in the home LAN. The information delay is short and the security is high. With the ESP8266 WIFI module and other hardware, the cost is reduced and the functions are customized. Tests show that the system has good practicability and stability.

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Author information

Authors and Affiliations

  1. College of Information Engineering, Lingnan Normal University, Zhanjiang, China

    Guohua Yan, Jihao Zeng, Haitao Sang, Yitong Lin & Jiali Lin

  2. Northeast Light Alloy Co., Ltd., Harbin, China

    Qiang Li

Authors
  1. Guohua Yan
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  2. Jihao Zeng
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  3. Haitao Sang
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  4. Yitong Lin
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  5. Jiali Lin
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  6. Qiang Li
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Corresponding author

Correspondence to Haitao Sang .

Editor information

Editors and Affiliations

  1. Business School, University of Bedfordshire, Luton, UK

    Yi Wang

  2. Shanghai University of Engineering Science, Shanghai, China

    Tao Yu

  3. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway

    Kesheng Wang

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Yan, G., Zeng, J., Sang, H., Lin, Y., Lin, J., Li, Q. (2023). New Customizable Smart Home System Design Based on Raspberry Pi. In: Wang, Y., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation XII. IWAMA 2022. Lecture Notes in Electrical Engineering, vol 994. Springer, Singapore. https://doi.org/10.1007/978-981-19-9338-1_12

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