通信专业大创项目--针对图书馆等校园场景的智能人流分析推荐系统
Intelligent crowd analysis recommendation system for campus scenes such as libraries
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.