Abstract
Automation in air condition is exceedingly challenging and demanding nowadays. Manually controlling air condition is found as the problem to serve a lot of people at a time. In the absence of smart AC, it is tough to change the temperature every time, where a large number of people are present such as meeting rooms, hall rooms, buses, airplanes, and so on. Therefore, there must be a role to play in confirming comfort temperature for humans with the help of smart AC. However, researchers are more focusing on automation in AC to avoid the disturbance for manual control. This paper has been designed and developed for an automated AC system which is capable of isolating human and their body temperature. The proposed system is integrated into three modules such as Human Detection Module (HDM) which always detects the human entry or exit from the room to turn on or turn off the AC; Temperature Detection Module (TDM) read each human body temperature individually to apply algorithm [1] and predict the ideal temperature for all. Remote Control Module (RCM) is responsible for changing the temperature of AC after getting the algorithmic process value of the Temperature Detection Module (TDM). The outcome confirmations successful human recognition, human temperature detection, and change the temperature of AC every 15 s. Exploiting our proposed system can be embedded in any type of place including private environment, meeting environment, gallery environment, laboratory environment, vehicles environment, etc.
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Javed Mehedi Shamrat, F.M., Ghosh, P., Mahmud, I., Nobel, N.I., Dipu Sultan, M. (2021). An Intelligent Embedded AC Automation Model with Temperature Prediction and Human Detection. In: Hassanien, A.E., Bhattacharyya, S., Chakrabati, S., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1286. Springer, Singapore. https://doi.org/10.1007/978-981-15-9927-9_75
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DOI: https://doi.org/10.1007/978-981-15-9927-9_75
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