A Smart BiDirectional Visitor Counter System Designed for Single Door Entry & Exit Setups with Dynamic Tracking and Data Regression Analysis based on IoTML

The rapid advancement of technology, particularly the Internet of Things (IoT), has revolutionized various domains by providing opportunities for developing efficient and intelligent systems. This work introduces a novel implementation of a “Bi-Directional Visitor Counter system using IoT for a single-door entry-exit setup powered by a dynamic tracking functionality with Data Analytics and Regression” Analysis that allow the system to perform data analytics and regression analysis on historical visitor count data to identify peak hours and visitor trends. Using this analysis, the system can predict potential busy periods, enabling administrators to proactively manage space and resources. The primary goal of our project is to track visitor flow at public places that have only one door serving as both the entry and exit point. The proposed system showed remarkable reliability and efficiency in our research. The system's ability is too accurately track no of person inside a room in real time, has significant practical implications for a variety of applications. For example, it can help in improving decision-making processes by providing insight into visitor peaks and patterns, enabling efficient resource allocation and optimized space utilization. Moreover, the proposed work with the novel approach with programming, holds promise to provide the facility of the visitor counter in real-time when a single door is available for both entry and exit purposes. It is a unique enhancement in our work because the traditional visitor counter is for two or multiple separate entry and exit door systems.