基于STM32的智慧家庭设计

刘鹏飞; 张微风; 吴晨旭; 孙晓明

doi:10.37188/CJLCD.2020-0281

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基于STM32的智慧家庭设计

图像处理 | 更新时间：2021-05-28

- 基于STM32的智慧家庭设计
- Home automation design based on STM 32
- 液晶与显示 2021年36卷第6期页码：876-885
- 作者机构：
  
  哈尔滨理工大学测控技术与仪器黑龙江省高校重点实验室, 黑龙江哈尔滨 150080
- 作者简介：
  
  [ "刘鹏飞(1997-), 男, 黑龙江伊春人, 硕士研究生, 2020年于中北大学获得学士学位, 主要从事三维视觉检测方面的研究。E-mail:908544510@qq.com" ]
  [ "孙晓明(1982-), 女, 黑龙江海林人, 博士, 副教授, 2012年于哈尔滨工业大学获得博士学位, 主要从事三维视觉检测、图像特征提取等方面的研究。E-mail: xiaoming_66881982@163.com" ]
- 基金信息：
  
  黑龙江省省属本科高校基本科研业务费科研项目(2018-KYYWF-1681);黑龙江省青年创新人才培养计划(UNPSCT-2017086);国家自然科学基金(61671190);国家自然科学基金(61571168)
- DOI：10.37188/CJLCD.2020-0281
  中图分类号： TP23
- 收稿日期：2020-10-19，
  
  修回日期：2020-12-10，
  
  纸质出版日期：2021-06
- 稿件说明：
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刘鹏飞, 张微风, 吴晨旭, 等. 基于STM32的智慧家庭设计[J]. 液晶与显示, 2021,36(6):876-885.

Peng-fei LIU, Wei-feng ZHANG, Chen-xu WU, et al. Home automation design based on STM 32[J]. Chinese journal of liquid crystals and displays, 2021, 36(6): 876-885.
刘鹏飞, 张微风, 吴晨旭, 等. 基于STM32的智慧家庭设计[J]. 液晶与显示, 2021,36(6):876-885. DOI： 10.37188/CJLCD.2020-0281.

Peng-fei LIU, Wei-feng ZHANG, Chen-xu WU, et al. Home automation design based on STM 32[J]. Chinese journal of liquid crystals and displays, 2021, 36(6): 876-885. DOI： 10.37188/CJLCD.2020-0281.

摘要

为了使人们享受更加放松、安全、简易、实用的家居生活环境，本文建立了集人脸识别自动开门、室内CO浓度检测与处理、室内光照度检测与控制照明、室内温度检测显示、室内离人安防检测报警等功能于一体化的智能家居系统。通过建立TCP客户端与服务器进行相互通信，实现手机一键轻松出门、自动关门。采用基于STM32F765VI芯片的OpenMV摄像头，利用线性反投影算法计算采集到的人脸数据与人脸数据库进行对比，实现人脸识别自动开门。在系统不断运行时通过CO气体传感器、温度传感器、光照传感器、红外传感器、光电传感器等外部设备采集回的各种指标数据传输到MCU之中并利用编译好的程序进行相应处理，用以完成对应的检测与处理功能。最后通过搭载硬件模型对整个系统进行功能查验，实验结果表明基于STM32的智慧家庭系统能够准确地实现各项功能指标的监测。

Abstract

A smart home system is designed which can realize the functions of face recognition

automatic door opening

indoor CO concentration detection

indoor illumination detection

automatic control lighting

indoor temperature detection

indoor security detection and other functions. The purpose is to let people get safe and practical living environment at home. Through the establishment of WiFi communication

the mobile phone control door opening is realized. This design adopts the OpenMV camera based on STM32F765 chip as the main identification instrument. The linear back projection algorithm is used to calculate the collected face data and the calculation results are compared with the face database to realize the automatic door opening function. When the system is running continuously

the data collected by the external equipment such as CO gas sensor

temperature sensor

optical sensor

infrared sensor and photoelectric sensor are processed to complete the corresponding detection and processing functions. Finally

the whole system is checked by the hardware model. The experimental results show that the system runs smoothly and all the function indexes have been achieved. A more reliable smart home system is obtained.

关键词

Keywords

references

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