An Intelligent Drawer System

DOI

10.2991/icaset-18.2018.39How to use a DOI?

Keywords

Intelligent drawer, Fingerprint identification, STM32F103.

Abstract

This design adopts single chip microcontroller (STM32F103) as the minimum system. The independent keystroke and single chip are the control module of the fingerprint. Fingerprint identification module and WIFI module constitute information acquisition module. The dc motor and the lock - clasp physical components constitute the electric locking module. Three LED lights constitute a status indicator module. The system is powered by a battery. The system has the advantages of simple structure, low production cost, high control accuracy and strong anti-interference ability.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dong Xie
AU  - Shilin Li
AU  - Qinqin Xiao
AU  - Shengxiong Wei
AU  - Yaxi Li
AU  - Jian Tong
PY  - 2018/04
DA  - 2018/04
TI  - An Intelligent Drawer System
BT  - Proceedings of the 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018)
PB  - Atlantis Press
SP  - 191
EP  - 195
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-18.2018.39
DO  - 10.2991/icaset-18.2018.39
ID  - Xie2018/04
ER  -