A Low-Resolution IR-Array as a Doorway Occupancy Counter in a Smart Building
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Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Author
Date
2020-05-28
Major/Subject
Mcode
Degree programme
Language
en
Pages
15
4-18
4-18
Series
International Journal of Online Engineering, Volume 16, issue 6
Abstract
A doorway counter, which detects a person underpass at a room entry/exit, may be the most accurate type of occupancy counters used in buildings. An occupancy counter, which uses a low-resolution IR-imager and Raspberry Pi board has been constructed. The imager provides only 8 x 8 pixels initial resolution, but it has been enhanced using two-dimensional interpolation. Due to the low absolute accuracy in temperature measurements, the imager is set to measure temperature difference between a target and background. Signal-to- noise ratio is also increased using discrete two-dimensional convolution filtering. The blob detection and tracking algorithm deduces the direction of an occupant and finally increments or decrements the counter. A heat signature varies between people and depends on person’s clothing. An on-board server on Raspberry Pi distributes the data via Wi-Fi to any client device in the net. The complete system includes also wireless PIR-sensors. The low-resolution IR occupancy counter has been compared with counters based on different technologies. The benefits of a low-resolution IR-imager are privacy preservation, operation capability in total darkness, energy-efficient passive operation and a low price.Description
Keywords
Occupancy counter, Low-resolution IR, Smart building, Wireless sensor, Kalman filter tracking, PIR-sensor, GridEye, Raspberrry Pi
Other note
Citation
Maaspuro, M 2020, ' A Low-Resolution IR-Array as a Doorway Occupancy Counter in a Smart Building ', International Journal of Online Engineering, vol. 16, no. 6, pp. 4-18 . https://doi.org/10.3991/ijoe.v16i06.13915
