摘要
面部识别技术便利性好、识别率已经比较精确,在内部网络安全且个人安全要求高的地方,逐渐成为人机交互的关键技术,如酒店房间在智能开锁等领域具有应用需求。提出一种基于面部识别的智能酒店管理系统:以STC15W4K58S4作为主控芯片,依靠OpenCV开源计算机视觉库,实现面部识别;采用Wi-Fi模块ESP8266、蓝牙数据接收模块HC-05,达成通信联桥,实现无线通信;采用语音播报模块JQ8400FL-10P、红外对管传感器HC-SR501、三轴加速度传感器模块,实现语音控制、防盗报警等功能。搭建完整的系统构架,对面部识别系统和防盗报警系统进行实验测试,表明经过多次高效训练后,系统能够达到很好的面部识别效果,且可通过人脸识别和门状态检测综合判断是否发出报警信号。系统识别灵敏,抗干扰性好,适用于刷脸识别门禁、智能家居等场景的人机交互。
The face recognition technology is with good convenience and relatively accurate recognition rate.It gradually becomes the key technology of human-computer interaction where the internal network security and personal security requirements are high,and has application demands in the fields including intelligent unlocking in the hotel room.An intelligent hotel management system based on the face recognition is proposed:STC15 W4 K58 S4 is used as the main control chip,and OpenCV open source computer vision library is used to realize the face recognition;Wi-Fi module ESP8266 and Bluetooth data receiving module HC-05 are used to achieve communication bridge and wireless communication;voice broadcast module JQ8400 FL-10 P,infrared tube sensor HC-SR501 and three-axis acceleration sensing are adopted to implement functions including voice control and anti-theft alarm.A complete system framework is built,and the experimental test of face recognition system and anti-theft alarm system shows that the system can achieve good face recognition effect after many times of efficient training,and can comprehensively judge whether to send alarm signal through face recognition and door state detection.The system is sensitive in recognition and good in anti-interference.It is suitable for face recognition and human-computer interaction in applications including smart home.
作者
于燕秀
俞睿
严飞杰
YU Yan-xiu;YU Rui;YAN Fei-jie(City institute,Dalian University of Technology,Dalian 116600,China)
出处
《工业技术创新》
2021年第1期70-73,107,共5页
Industrial Technology Innovation