Development and Deployment of Crowd Monitoring System Using Nodejs and Redis on Infrastructure as a Service Model

Crowd analytics is the analysis of data collected from the movement and behavior of crowds. Cloud-based deployment is the fastest-growing deployment mode in the crowd analytics market. One form of crowd analytics is a crowd monitoring, with the function of displaying data collected from sensors and crowd-related IoT devices. This final project will develop a web dashboard for crowd monitoring and provide cloud-based deployment solutions. The web dashboard development will use the RediSolar codebase from Redis University as a reference and application. The deployment architecture will then be developed using services provided by Google Cloud Platform (GCP) with an infrastructure as a service (IaaS) model. The implementation results show that the system allows integration with monitoring devices such as sensors and has succeeded in providing accessibility through the public internet network to users.