Real-time energy efficiency analysis of buildings using ir imaging and computer vision
Reducing consumption of energy and emissions of greenhouse gas emissions is a critical worldwide problem, with the buildings’ sector accounting for up to 44% of fossil fuel consumption. Residential buildings, in particular, have great technical potential for energy savings. Our study addresses this...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_01007.pdf |
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| _version_ | 1832098395853946880 |
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| author | Lupoiu Teodor Carutasiu Mihail-Bogdan Necula Horia |
| author_facet | Lupoiu Teodor Carutasiu Mihail-Bogdan Necula Horia |
| author_sort | Lupoiu Teodor |
| collection | DOAJ |
| description | Reducing consumption of energy and emissions of greenhouse gas emissions is a critical worldwide problem, with the buildings’ sector accounting for up to 44% of fossil fuel consumption. Residential buildings, in particular, have great technical potential for energy savings. Our study addresses this by creating a model for real-time energy efficiency analysis of building insulation using infrared imagery and computer vision. The model monitors and offers important insights of energy transfer by continually evaluating a building’s thermal envelope. Additionally, an experimental stand comprising of a miniature model house made from different materials and insulation types, an IR camera and a Raspberry Pi were considered. It will provide data for an AI based model, which employs a robust and already proven architecture, YOLOv8 namely, used to determine the thermal characteristics of the analysed materials and the energy performances respectively. |
| format | Article |
| id | doaj-art-31613cad08574ecbba549971eafd2f87 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-31613cad08574ecbba549971eafd2f872025-02-05T10:49:33ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016080100710.1051/e3sconf/202560801007e3sconf_eenviro2024_01007Real-time energy efficiency analysis of buildings using ir imaging and computer visionLupoiu Teodor0Carutasiu Mihail-Bogdan1Necula Horia2POLITEHNICA Bucharest National University of Science and TechnologyPOLITEHNICA Bucharest National University of Science and TechnologyPOLITEHNICA Bucharest National University of Science and TechnologyReducing consumption of energy and emissions of greenhouse gas emissions is a critical worldwide problem, with the buildings’ sector accounting for up to 44% of fossil fuel consumption. Residential buildings, in particular, have great technical potential for energy savings. Our study addresses this by creating a model for real-time energy efficiency analysis of building insulation using infrared imagery and computer vision. The model monitors and offers important insights of energy transfer by continually evaluating a building’s thermal envelope. Additionally, an experimental stand comprising of a miniature model house made from different materials and insulation types, an IR camera and a Raspberry Pi were considered. It will provide data for an AI based model, which employs a robust and already proven architecture, YOLOv8 namely, used to determine the thermal characteristics of the analysed materials and the energy performances respectively.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_01007.pdf |
| spellingShingle | Lupoiu Teodor Carutasiu Mihail-Bogdan Necula Horia Real-time energy efficiency analysis of buildings using ir imaging and computer vision E3S Web of Conferences |
| title | Real-time energy efficiency analysis of buildings using ir imaging and computer vision |
| title_full | Real-time energy efficiency analysis of buildings using ir imaging and computer vision |
| title_fullStr | Real-time energy efficiency analysis of buildings using ir imaging and computer vision |
| title_full_unstemmed | Real-time energy efficiency analysis of buildings using ir imaging and computer vision |
| title_short | Real-time energy efficiency analysis of buildings using ir imaging and computer vision |
| title_sort | real time energy efficiency analysis of buildings using ir imaging and computer vision |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_01007.pdf |
| work_keys_str_mv | AT lupoiuteodor realtimeenergyefficiencyanalysisofbuildingsusingirimagingandcomputervision AT carutasiumihailbogdan realtimeenergyefficiencyanalysisofbuildingsusingirimagingandcomputervision AT neculahoria realtimeenergyefficiencyanalysisofbuildingsusingirimagingandcomputervision |