Open AccessAdvanced Air Conditioning using Thermal Imaging and Occupancy Detection
Author(s) -
M. Rajesvari*,
R Mohanakrishnan,
Purushottom Dutta,
Arindam Sohel,
Abhinab Dutta Chaudhury
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.g5435.059720
Subject(s) - occupancy , air conditioning , air temperature , set (abstract data type) , computer science , real time computing , arduino , thermal , thermal comfort , raspberry pi , environmental science , automotive engineering , simulation , embedded system , engineering , meteorology , architectural engineering , internet of things , mechanical engineering , physics , programming language
The body temperature of humans differs from one person to another, and therefore it becomes difficult to set the optimal temperature of the room. The total room temperature depends on the number of persons present and their body temperatures. The occupancy detection of a room and determining its temperature are dependent on each other. In this paper, A novel approach for determining the room temperature along with occupancy detection and correspondingly giving the input to air-conditioner is discussed. This paper would also provide a solution to determine the number of persons that can leave a room to ensure less congregation of corridors. For getting a definitive body temperature of individuals, we will be using the MLX90640 module, which produces a thermal image and makes it possible for the extraction of temperature data. PIR sensors are used for occupancy detection purposes and an ultrasonic sensor for the congregation problem. These are both implemented using Arduino IDE, whereas raspberry pi handles the temperature data. Finally, using the mean temperature data, the temperature of the air conditioner will be set.