Design of an AI Unattended System Based on Home Environment Privacy Protection

Yukangping Zhou; Ye Tao; Yanbin Long

doi:10.47297/taposatWSP2633-456909.20260701

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Design of an AI Unattended System Based on Home Environment Privacy Protection

7卷第1期

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Design of an AI Unattended System Based on Home Environment Privacy Protection
Design of an AI Unattended System Based on Home Environment Privacy Protection
Liaoning University of Science and Technology, Anshan, Liaoning, 114051, China
2026年7卷第1期页码：43-49
纸质出版：2026-01-30
DOI：10.47297/taposatWSP2633-456909.20260701
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Yukangping Zhou, Ye Tao & Yanbin Long. (2026). Design of an AI Unattended System Based on Home Environment Privacy Protection. 科技理论与实践（英文版）, 7(1), 43-49.

Zhou Yukangping,Tao Ye,Long Yanbin.Design of an AI Unattended System Based on Home Environment Privacy Protection[J].Theory and Practice of Science and Technology,2026,07(01):43-49.
Yukangping Zhou, Ye Tao & Yanbin Long. (2026). Design of an AI Unattended System Based on Home Environment Privacy Protection. 科技理论与实践（英文版）, 7(1), 43-49. DOI： 10.47297/taposatWSP2633-456909.20260701.

Zhou Yukangping,Tao Ye,Long Yanbin.Design of an AI Unattended System Based on Home Environment Privacy Protection[J].Theory and Practice of Science and Technology,2026,07(01):43-49. DOI： 10.47297/taposatWSP2633-456909.20260701.

摘要

Abstract

This paper focuses on the contradiction between privacy protection and intelligent security in the home environment and proposes a solution based on an AI unattended system. By integrating pose estimation and an improved ST-GCN algorithm

combined with edge AI processing technology

an architecture combining infrared imaging hardware and lightweight deep neural networks is constructed to achieve data edge autonomy and reduce the risk of privacy leakage. The system adopts multiple privacy protection measures in data acquisition

processing

and storage. Experimental verification shows that the behavior recognition accuracy reaches 97.2%

meeting the real-time and stability requirements of large-scale monitoring

and providing a safe and reliable protection solution for families.

关键词

Keywords

references

Ruan Keyu, Lu Qiuyi, Chen Guojun. Home air quality detection system based on ZigBee technology[J]. Wireless Interconnection Technology, 2023(23):34-39.

Jia Weiwei, Zhou Xinyao. Design of a smart home monitoring system based on CAN bus [J]. Journal of Anhui Electronic Information Vocational and Technical College, 2023(03):321-324.

Gao Ting. Real-time data acquisition and visualization system for IoT greenhouse based on MQTT protocol[J]. Wireless Interconnection Technology, 2023(12):17-21.

Cao Huiru, Yuan Junying, Guo Zhonghua, Cheng Haixiu, Wang Lin, Luo Pei. Experiment on the influence of obstacles on wireless sensor network channel[J]. Journal of Sensor Technology, 2014(08):87-89.

Sun Guoxiang, Cai Jiaqi, Zhou Xinzhu, Xu Naimin. In-situ measurement method of tomato root phenotype based on array ESP32-CAM [J]. Transactions of the Chinese Society of Agricultural Engineering, 2023(18):56-59.

Zheng Hongbing, Wang Huanwei, Zhao Qi, Dong Shuqi, Jing Jing. Security analysis method of MQTT protocol based on Tamarin[J]. Computer Application Research, 2023(10):34-38.

Zhang Li. Design of visualized grain warehouse temperature control system based on node-red[J]. Information Technology and Informatization, 2022(04):212-216.

Zhou Chengmin, Zhao Hanxiao, Xu Xue, Liang Shuang, Jake Kaner. Research status and development prospects of smart home for the elderly in China based on CiteSpace [J].Packaging Engineering, 2022(02):66-67.

Wen Quan, Cheng Tianle, Su Zeya. Design of an autonomous tracking quadcopter based on STM32 and OV2640 [J]. Microcomputer and Applications, 2016(22):90-93.

Chen Yingjie, Zhu Jinfeng. Research and optimization design of ZigBee over-the-air download technology [J]. Microcontroller and Embedded System Applications, 2012(11):45-49.

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