YANG Fan, XU Jun. Power switch control system based on face recognition technology[J]. 2019, 38(9): 93-95+98. DOI: 10.13873/J.1000-9787(2019)09-0093-03.
基于人脸识别技术的电源开关控制系统
摘要
对于高校实验室以及公司部门的工位电源开关来说
如果没能及时进行关闭
可能会导致电能的损耗和无人看守时的安全问题
所以对于电源开关的控制有着重大意义。为控制对应工位上的电源
提出一种基于OpenCV和Visual Basic的电源开关系统。在整体系统中
主要通过人脸识别的方式
进行人员信息的录入与图像匹配
并将接受的数据信息经串口发送至Visual Basic上位机客户端
通过数据库比对后
再利用无线射频网络进行工位电源端的开关操作。实际测试证明了方案的可行性和实用性。
Abstract
Aiming at problems of power loss and unattended safety issues in university laboratories and company departments that workstation power switches are not shut down in-time
in order to control the power supply at the corresponding workstation
a power switch system based on OpenCV and Visual Basic is proposed. In the overall system
human information input and image matching are performed mainly through face recognition
and the accepted data information is sent to the Visual Basic host computer client through the serial port
and then processed through the wireless RF network
through the database comparison. The actual test proves the feasibility and practicality of the scheme.
Face recognition attendance system based on PCA approach [J]. Li Yanling,Chen Yisong,Wang Guoping. Computer Aided Drafting,Design and Manufacturing . 2016(02)