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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM14942

HUMAN PRESENCE BASED LOAD CONTROL USING MACHINE LEARNING AND IOT

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM14942

Volume:

6 |

6 |

Jun 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM14942

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

CMV

C M VINAYKUMAR

MAC

Ms ASHWINI C

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Abstract

For maintaining comfortable living conditions within a home/office. Least interaction with the system makes the system easy to use and uncomplicated. ​Faces can be used as the key to the room/office for automation of the devices and peripherals. When the person walks into the room/office the devices preselected turn on without having the user press any button inside the room/office to switch them on. Users can preselect what devices users want to be switched on during the process. Users need to train their faces to be recognized. This system represents the application of IoT for Automation system using smart techniques which includes a Esp32 module as a processing unit for data which is extracted from camera and a Graphical User Interface for program control.

KEYWORDS

Machine Learning IoT Automation Computer Vision Appliances Esp32 module

Cite This Article

C M VINAYKUMAR, Ms ASHWINI C, "HUMAN PRESENCE BASED LOAD CONTROL USING MACHINE LEARNING AND IOT," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 6, Jun 2022. https://doi.org/10.55041/IJSREM14942

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Publication Date

6/22/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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