ir imager
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Author(s):  
Mika Maaspuro

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.







2014 ◽  
Author(s):  
C. C. Olson ◽  
J. R. Waterman ◽  
J. M. Nichols
Keyword(s):  


2011 ◽  
Author(s):  
Cheng Gong ◽  
Mei Hui ◽  
Liquan Dong ◽  
Yuejin Zhao


2011 ◽  
Author(s):  
Ashok K. Sood ◽  
E. James Egerton ◽  
Yash R. Puri ◽  
Gustavo Fernandes ◽  
Jin Ho Kim ◽  
...  


Author(s):  
Allen Flusberg ◽  
Stephen Swartz ◽  
Michael Huff ◽  
Michael Pedersen ◽  
Paul Sunal
Keyword(s):  


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