Development of Pilgrim’s Automatic Counting System and Health Monitoring using Machine Learning

Abstract

Every year, thousands of people will be gathered at Mecca and Madinah to perform Hajj and Umrah. This massive congregation need an efficient and organized monitoring system by respective management to ensure the safety of the pilgrims using the modern technology nowadays. In this paper, it will discuss an idea to help the mutawwif to monitor their pilgrim’s group members with an automatic ID system and localisation system tracking. The device will use Bluetooth architecture system to communicate with the server system where each device will have its own unique address ID that represent each pilgrim member. So, each one of them will automatically counted based on its user ID. Besides, the average recieved signal strength from the Bluetooth is measured to identify the distance of the pilgrim from the server using Path Loss Model. Next, the device will also be compact with a health safety features to update the current condition of the pilgrim. This feature will allow the mutawwif to keep track the pilgrim situation if any emergency occur during the congregation. Proving the trilateration method in estimating a location has successfully been achieved by using Bluetooth communication with ESP32 module. While conducting the testing, error in defining pilgrim’s location is analysed. As the reference point is at the least stable received signal strength range, the bigger the error between real coordinate and estimated coordinate. Therefore, in this research, it hopes to benefit other in managing pilgrim during hajj time. Improvement can be made in ensuring the system can be run smoothly to process real time data. So, estimation of the location will be more accurate.