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The Bihag Conference Room Digital Twin project aims to revolutionize the management and optimization of conference room environments through advanced sensor technology and real-time data analysis. This initiative seeks to create a comprehensive virtual representation of the Bihag Conference Room, leveraging an array of sensors to continuously monitor and simulate the room’s dynamic environmental conditions. By capturing data on atmospheric conditions, pollution levels, brightness, carbon footprint, and occupancy, the project provides valuable insights for optimizing the room’s settings. These insights are crucial for enhancing the quality of meetings and improving energy efficiency, ensuring a comfortable and productive environment for users.

The real-time data collected from the sensors is meticulously analyzed to maintain optimal atmospheric conditions, balancing factors such as air quality and lighting. This continuous monitoring helps create an ideal environment for productivity and comfort. Additionally, the project tracks the room’s energy consumption, identifying opportunities to reduce the carbon footprint and promote sustainable practices.

Problem Statement

Traditional conference room management relies on static information and manual adjustments, leading to suboptimal meeting conditions and energy wastage due to the lack of real-time insights. The absence of dynamic control over factors like air quality, brightness, and occupancy further exacerbates these inefficiencies. There is a critical need for an innovative solution that addresses these shortcomings by providing real-time monitoring and dynamic adjustments to optimize conference room environments.


A comprehensive solution was developed to create a Digital Twin of the Bihag Conference Room, addressing the need for real-time monitoring and optimization of conference room environments. Raw data was collected using a hybrid method combining machine learning (ML) algorithms with various sensors, such as temperature, humidity, light sensors, and cameras. These sensors were strategically placed to monitor ambient conditions and occupancy levels. The collected data was transmitted to a central database on a cloud platform or local server, enabling real-time access and visualization.


The Bihag Conference Room Digital Twin project achieved significant success, culminating in a comprehensive set of deliverables. These included detailed coverage reports, real-time sensor data visualizations, occupancy predictions, and insights into environmental conditions. The meticulous data collection, pre-processing, and visualization process demonstrated a strong commitment to quality assurance, ensuring the reliability and accuracy of the virtual representation.

The project effectively implemented and tested a range of components, including temperature, humidity, light sensors, and ML-based people counting algorithms. This extensive effort involved rigorous analysis and validation procedures, ensuring the robustness and efficiency of the Digital Twin. The user-friendly GUI/UX screen and 3D room view provided comprehensive real-time data visualization, enhancing meeting quality and energy efficiency through innovative digital solutions. The successful execution of these tasks underscored the potential of digital innovation in creating smarter, more sustainable, and efficient meeting spaces.

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