Low-Cost Thermal Camera-Based Counting Occupancy Meter Facilitating Energy Saving in Smart Buildings
Using passive infrared sensors is a well-established technique of presence monitoring. While it can significantly reduce energy consumption, more savings can be made when utilising more modern sensor solutions coupled with machine learning algorithms. This paper proposes an improved method of presen...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/15/4542 |
| _version_ | 1797525659234336768 |
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| author | Marek Kraft Przemysław Aszkowski Dominik Pieczyński Michał Fularz |
| author_facet | Marek Kraft Przemysław Aszkowski Dominik Pieczyński Michał Fularz |
| author_sort | Marek Kraft |
| collection | DOAJ |
| description | Using passive infrared sensors is a well-established technique of presence monitoring. While it can significantly reduce energy consumption, more savings can be made when utilising more modern sensor solutions coupled with machine learning algorithms. This paper proposes an improved method of presence monitoring, which can accurately derive the number of people in the area supervised with a low-cost and low-energy thermal imaging sensor. The method utilises U-Net-like convolutional neural network architecture and has a low parameter count, and therefore can be used in embedded scenarios. Instead of providing simple, binary information, it learns to estimate the occupancy density function with the person count and approximate location, allowing the system to become considerably more flexible. The tests show that the method compares favourably to the state of the art solutions, achieving significantly better results. |
| first_indexed | 2024-03-10T09:16:04Z |
| format | Article |
| id | doaj.art-91235f16eab84e8d8718c6257bafddf5 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T09:16:04Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-91235f16eab84e8d8718c6257bafddf52023-11-22T05:34:33ZengMDPI AGEnergies1996-10732021-07-011415454210.3390/en14154542Low-Cost Thermal Camera-Based Counting Occupancy Meter Facilitating Energy Saving in Smart BuildingsMarek Kraft0Przemysław Aszkowski1Dominik Pieczyński2Michał Fularz3Institute of Robotics and Machine Intelligence, Poznań University of Technology, Piotrowo 3A, 60-965 Poznań, PolandInstitute of Robotics and Machine Intelligence, Poznań University of Technology, Piotrowo 3A, 60-965 Poznań, PolandInstitute of Robotics and Machine Intelligence, Poznań University of Technology, Piotrowo 3A, 60-965 Poznań, PolandInstitute of Robotics and Machine Intelligence, Poznań University of Technology, Piotrowo 3A, 60-965 Poznań, PolandUsing passive infrared sensors is a well-established technique of presence monitoring. While it can significantly reduce energy consumption, more savings can be made when utilising more modern sensor solutions coupled with machine learning algorithms. This paper proposes an improved method of presence monitoring, which can accurately derive the number of people in the area supervised with a low-cost and low-energy thermal imaging sensor. The method utilises U-Net-like convolutional neural network architecture and has a low parameter count, and therefore can be used in embedded scenarios. Instead of providing simple, binary information, it learns to estimate the occupancy density function with the person count and approximate location, allowing the system to become considerably more flexible. The tests show that the method compares favourably to the state of the art solutions, achieving significantly better results.https://www.mdpi.com/1996-1073/14/15/4542heatingair conditioningdeep learningbuilding management systemsthermal imaging |
| spellingShingle | Marek Kraft Przemysław Aszkowski Dominik Pieczyński Michał Fularz Low-Cost Thermal Camera-Based Counting Occupancy Meter Facilitating Energy Saving in Smart Buildings Energies heating air conditioning deep learning building management systems thermal imaging |
| title | Low-Cost Thermal Camera-Based Counting Occupancy Meter Facilitating Energy Saving in Smart Buildings |
| title_full | Low-Cost Thermal Camera-Based Counting Occupancy Meter Facilitating Energy Saving in Smart Buildings |
| title_fullStr | Low-Cost Thermal Camera-Based Counting Occupancy Meter Facilitating Energy Saving in Smart Buildings |
| title_full_unstemmed | Low-Cost Thermal Camera-Based Counting Occupancy Meter Facilitating Energy Saving in Smart Buildings |
| title_short | Low-Cost Thermal Camera-Based Counting Occupancy Meter Facilitating Energy Saving in Smart Buildings |
| title_sort | low cost thermal camera based counting occupancy meter facilitating energy saving in smart buildings |
| topic | heating air conditioning deep learning building management systems thermal imaging |
| url | https://www.mdpi.com/1996-1073/14/15/4542 |
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