Design of clothing identification system based on Raspberry Pi

JIANG Meiling; ZHANG Jie

doi:10.13873/J.1000-9787(2021)01-0098-03

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Design of clothing identification system based on Raspberry Pi

更新时间：2025-09-11

- Design of clothing identification system based on Raspberry Pi
- Vol. 40, Issue 1, Pages: 98-100+103(2021)
- 作者机构：
  
  福州大学物理与信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2021)01-0098-03
  CLC： TP368.1;TP391.41
- Published：2021
- 稿件说明：
移动端阅览
[1]江美玲,章杰.基于树莓派的服装识别系统设计[J].传感器与微系统,2021,40(01):98-100+103.

JIANG Meiling, ZHANG Jie. Design of clothing identification system based on Raspberry Pi[J]. 2021, 40(1): 98-100+103.
[1]江美玲,章杰.基于树莓派的服装识别系统设计[J].传感器与微系统,2021,40(01):98-100+103. DOI： 10.13873/J.1000-9787(2021)01-0098-03.

JIANG Meiling, ZHANG Jie. Design of clothing identification system based on Raspberry Pi[J]. 2021, 40(1): 98-100+103. DOI： 10.13873/J.1000-9787(2021)01-0098-03.

摘要

针对用户家中服装存放无序、分类管理难度大且效率低下等问题

提出了一种基于树莓派的服装识别系统

该系统使用树莓派作为嵌入式开发板。系统通过树莓派调用摄像头获取待存放的服装图片

将图像传输到已训练好的MobileNet模型为核心的服装识别系统中进行类型识别;最后将服装识别的结果和相对应的储存位置通过语音的方式告知用户

以便用户快速准确地找到服装储存的位置。经实验测试

服装识别的正确率为95.19%。系统能够在准确识别服装的基础上

获取该类服装在衣橱中的存放位置

以帮助用户高效、准确地分类管理不同款式的服装。

Abstract

In order to solve the problems of disordered storage

difficult classification management and low efficiency of users’ clothing at home

a clothing identification system based on Raspberry Pi is proposed.The system uses raspberry pi as an embedded development board.This system uses the camera of Raspberry Pi to get the clothes pictures to be stored

and then the image is transmitted to the clothing identification system based on MobileNet model.Finally

the results of clothing recognition and corresponding storage location are communicated to the user by voice

so that users can quickly and accurately find the storage location of clothing.Through the experimental test

the correct rate of clothing recognition is 95.19 %.On the basis of accurately identifying the clothes

the storage location of such clothes in the wardrobe can be obtained.Thus

it can help users to classify and manage different styles of clothes efficiently and accurately.

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references

基于树莓派的人脸识别考勤系统的开发与实现 [J]. 李玉鹏,宋维,程超伟. 单片机与嵌入式系统应用 . 2016(11)

深度卷积神经网络的汽车车型识别方法 [J]. 张军,张婷,杨正瓴,朱新山,杨伯轩. 传感器与微系统 . 2016(11)

一种新的人脸图像去噪算法 [J]. 沈千里,陈晓,支亚京,蔡婷婷. 传感器与微系统 . 2015(11)

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