This project has developed a face recognition, counting and prediction system based on Python language and develop user interaction platform on WeChat. This project first performs face recognition through Multi-task convolutional neural network, counts the number of people in libraries, badminton halls and idle classrooms, and uploads the real-time number of people in each place to the database. Teachers and students can learn the number of people in each area from the WeChat platform, so as to realize the intelligent distribution of personnel.
项目开发出一款基于Python语言实现人脸识别,计数及预测系统,并在微信上开发用户交互平台。本软件首先通过多任务卷积神经网络进行人脸识别,对图书馆、羽毛球馆和闲置教室的人数进行统计,并将学校各功能区的实时人数上传至数据库,师生可以从微信平台了解各功能区的人数,从而间接实现人员智能分流,进一步帮助在校师生提高课余时间利用效率。同时本软件可有效疏导高峰时间段各场所进出口的阻塞人群,减少因人流堵塞造成的时间浪费。扩展至校外,可实现城市功能场所的人流量监控,间接实现人流合理化导向,为实现信息化城市做出贡献。
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