Advanced Air Conditioning using Thermal Imaging and Occupancy Detection
M. Rajesvari1, R Mohanakrishnan2, Purushottom Dutta3, Arindam Sohel4, Abhinab Dutta Chaudhury5
1M. Rajesvari, Electronics and Communication Department, SRM IST Ramapuram, Chennai, India.
2R Mohanakrishnan, Electronics and Communication Department, SRM IST Ramapuram, Chennai, India.
3Purushottom Dutta, Electronics and Communication Department, SRM IST Ramapuram, Chennai, India.
4Arindam Sohel, Electronics and communication department, SRM IST Ramapuram, Chennai, India.
5Abhinab Dutta Chaudhury, Electronics and communication department, SRM IST Ramapuram, Chennai, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 30, 2020. | Manuscript published on May 10, 2020. | PP: 501-504 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5435059720/2020©BEIESP | DOI: 10.35940/ijitee.G5435.059720
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: MLX90640, Occupancy detection, Passive Infrared Sensor, Room Temperature.
Scope of the Article: Thermal Engineering