An Intelligent Drawer System
- 10.2991/icaset-18.2018.39How to use a DOI?
- Intelligent drawer, Fingerprint identification, STM32F103.
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.
- © 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/).
Cite this article
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 -