A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Integrating Privacy-Preserving Occupancy Estimation Using Thermal Camera with a Digital Twin Platform
Optimizing building energy consumption based on occupancy information is a crucial approach for improving energy management in buildings. Various studies have proposed different solutions for estimating occupant count. However, high costs and privacy concerns are still significant barriers that limit the practice of occupant count estimation. To address these issues, this paper proposes an integrated solution that combines privacy-preserving occupancy estimation using a low-cost and low-resolution thermal camera within a digital twin platform. The system captures images of occupants using a thermal camera installed above an entrance and uses image processing techniques to estimate the number of occupants passing the doorway. The occupancy data is then integrated into a digital twin platform to provide real-time occupancy information. The paper presents an overview of various methods of occupancy estimation and discusses their benefits and challenges. Additionally, it outlines the proposed system's architecture and presents a use case to demonstrate the capability of the solution. The proposed solution has numerous applications, including building automation, security, and energy management. The findings of this study can assist building owners and operators in optimizing their buildings energy consumption while preserving occupants’ privacy.
Integrating Privacy-Preserving Occupancy Estimation Using Thermal Camera with a Digital Twin Platform
Optimizing building energy consumption based on occupancy information is a crucial approach for improving energy management in buildings. Various studies have proposed different solutions for estimating occupant count. However, high costs and privacy concerns are still significant barriers that limit the practice of occupant count estimation. To address these issues, this paper proposes an integrated solution that combines privacy-preserving occupancy estimation using a low-cost and low-resolution thermal camera within a digital twin platform. The system captures images of occupants using a thermal camera installed above an entrance and uses image processing techniques to estimate the number of occupants passing the doorway. The occupancy data is then integrated into a digital twin platform to provide real-time occupancy information. The paper presents an overview of various methods of occupancy estimation and discusses their benefits and challenges. Additionally, it outlines the proposed system's architecture and presents a use case to demonstrate the capability of the solution. The proposed solution has numerous applications, including building automation, security, and energy management. The findings of this study can assist building owners and operators in optimizing their buildings energy consumption while preserving occupants’ privacy.
Integrating Privacy-Preserving Occupancy Estimation Using Thermal Camera with a Digital Twin Platform
Lecture Notes in Civil Engineering
Francis, Adel (editor) / Miresco, Edmond (editor) / Melhado, Silvio (editor) / Rafatian, Benjamin (author) / Sharafdin, Pezhman (author) / Motamedi, Ali (author)
International Conference on Computing in Civil and Building Engineering ; 2024 ; Montreal, QC, Canada
Advances in Information Technology in Civil and Building Engineering ; Chapter: 51 ; 613-625
2025-03-30
13 pages
Article/Chapter (Book)
Electronic Resource
English
Envisioning Digital Twin-Enabled Post-occupancy Evaluations for UVic Engineering Expansion Project
| Springer Verlag | 2023
| BASE | 2021