基于人脸识别的储物柜系统设计

Design of Locker System Based on Face Recognition

笔者根据人们在日常生活中对碎片化储物的实际需求,开发了一款基于人脸识别技术的电子储物柜系统。该系统由PyQt搭建而成,并使用OpenCV集成的人脸识别算法完成身份认证,最后将该系统移植到嵌入式平台树莓派上。实验结果表明,该系统运行稳定、流畅,可以满足实际储物场景的要求。

According to people's actual needs for fragmented storage in daily life,an electronic locker system based on face recognition technology is designed.The system is built by PyQt and uses the face recognition algorithm integrated by OpenCV to complete identity authentication.Finally port the system to the embedded platform Raspberry Pi.The results show that the system runs stably and smoothly,which can meet the requirements of actual storage scenarios.