摘要
为了让人们在出行前更好地了解目的地人流量及车流量情况,以便更好地规划出行目的地及出行路线,减少等待时间,避免大量人车聚集,设计开发了一套人车流量监测系统.该系统基于YOLOv5目标检测技术,使用Java Server Page与Echarts相结合进行Web服务器端的开发,将数据存储在MySQL数据库中,实现对行人流量及车辆流量的检测,使用Python技术对检测结果进行可视化,直观展示各区域人流量信息,从而给人们的出行提供实时、动态的参考.
In order to help people understand the passenger and vehicle flow at the destination before travel,facilitate people to better plan the travel route and avoid the accumulation of people and vehicles,a set of passenger and vehicle flow monitoring system was designed and developed,Java server page and ECharts were used to develop the web server,and the data is stored in MySQL database to realize the detection of pedestrian and vehicle flow.Python technology is used to visualize the detection results,intuitively display the traffic information of each area,and provide real-time and dynamic reference for people s travel.
作者
张桂杰
郭泽旸
韩睿
杨雁升
王帅
ZHANG Gui-jie;GUO Ze-yang;HAN Rui;YANG Yan-sheng;WANG Shuai(College of Computer Science,Jilin Normal University,Siping 136000,China)
出处
《吉林师范大学学报(自然科学版)》
2021年第4期118-126,共9页
Journal of Jilin Normal University:Natural Science Edition
基金
吉林省教育厅科学技术项目(JJKH20210455KJ)。
关键词
目标检测
流量监测
YOLO模型
疫情防控
target detection
flow monitoring
YOLO model
epidemic prevention and control