基于图像识别的移动终端图书馆座位管理系统设计

为缓解阅览室座位紧缺、开馆前的混乱与喧哗、因座位问题而产生的冲突等压力,应用OV5647摄像头和树莓派设计一款基于图像识别的移动终端图书馆座位管理系统,利用OPENCV计算机视觉集成库中的AdaBoost算法,获取人脸信息的Haar-Like特征,实现对读者的检测。同学们可以使用客户端APP查看目前阅览室座位的使用情况,并可对座位进行选座和预约。该设计以树莓派为控制核心,阿里云为数据存储平台,有效管理图书馆座位,提高图书馆座位的利用率,节约同学们寻找座位的时间。

Design of Library Seats Management System Based on Image Recognition

In order to alleviate the pressure, the shortage of seats in the reading room, the confusion and noise before the opening of the library, and conflicts caused by seat problems, the OV5647 camera and Raspberry Pi are used to design a mobile terminal library seat management system based on image recognition. The system use the AdaBoost algorithm in the OPENCV computer vision integration library to acquire the Haar-Like feature of the face information to implement reader detection. Students can use the client app to check the current use of seats in the reading room, and to select and reserve seats. The design uses Raspberry Pi as the control core and Alibaba Cloud as the data storage platform to achieve effective management of library seats, improve the utilization of library seats, and save time for students to find seats.