Development of Low Cost Crowd Sensor

Abstract

This paper presents the development of crowd sensor nodes monitoring system for analysis purposes and estimating human occupancy in a closed room application. This system utilises Arduino Uno microcontroller for measuring surrounding parameters such as carbon dioxide (CO₂) concentration, temperature, relative humidity (RH) and carbon monoxide (CO) levels. The CO₂, temperature, RH and CO sensors are integrated into the data acquisition system. Data were collected at a fixed tutorial room in Universiti Sains Malaysia. Multiple prototype models were developed for analyzing the data from multiple divided grids in one single room. The results clearly suggested the capability of detecting human occupancy from minimum into larger data scales. Deployed sensor nodes show the potential of this system for certain application in closed room where monitoring crowd density is needed.