Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A.I. Driven Thermal People Counting for Smart Window Facade Using Portable Low‐Cost Miniature Thermal Imaging Sensors

Version 1 : Received: 7 January 2020 / Approved: 8 January 2020 / Online: 8 January 2020 (08:35:48 CET)

How to cite: Samuel, M.; M Ajibade, S.-S.; Fudah Moveh, F. A.I. Driven Thermal People Counting for Smart Window Facade Using Portable Low‐Cost Miniature Thermal Imaging Sensors. Preprints 2020, 2020010067. https://doi.org/10.20944/preprints202001.0067.v1 Samuel, M.; M Ajibade, S.-S.; Fudah Moveh, F. A.I. Driven Thermal People Counting for Smart Window Facade Using Portable Low‐Cost Miniature Thermal Imaging Sensors. Preprints 2020, 2020010067. https://doi.org/10.20944/preprints202001.0067.v1

Abstract

People counting applications have been used in diverse applications. The ability and accuracy of thermal imaging over conventional image cameras has led to the implementation of thermal cameras in people counting applications. This paper present a thermal people counting smart glass windows. The people counting application would be remotely monitored from a single centralized PC station as it’s connected to a multiplex of mass monitoring of 20 thermal camera, all embedded into different glass windows. The thermal cameras would then be able to detect body temperatures of all individuals who pass through any of the camera range and also count the numbers of people who passed through the camera range. The data gotten can then be further utilized in various ways, example is in the control of air conditioning and lightening.

Keywords

people; counting; thermal; sensor

Subject

Computer Science and Mathematics, Computer Science

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