Abstract
Lots of people in this world lack electricity and modern lighting. This problem is severe in rural areas. In most schools, houses, and offices, the management of the lighting system is done manually as per requirement. As the world is advancing, automation develops and spreading everywhere. In this paper, an automatic light switch device is controlled by face recognition. Face Recognition Automation (FRA) is a biometric recognition technology for processing information about facial features. Like other automation, it has the advantage: Faster processing of recognizing a face takes a second or less. The studies provide development and advancement of automation control in the individual room. The primary purpose of this paper is to improve automation control in the designated room. This paper aims to develop an automated program of accessibility in outlets and switching ON/OFF of lights. Having an auto switch and auto access by a face recognition control results in greater safety, flexibility, reliability, and much more precise data. The implementation of the entire Automatic lighting control system has been carried out using Raspberry PI 3B+. The software for controlling the relay switch for switching on and off the light based on the input from the sensor resides inside the microcontroller unit of Raspberry PI 3B+. The code for a sample node has was developed and executed. In operating, the user will just look in-front of the camera and let the camera recognize the pickles and send data to the Raspberry Pi 3b+ and then send a wavelength to the relay that makes lights and outlet on/off. Therefore, Face recognition is one of the best ways of operating that is invented in terms of automation. The face recognition system does not need physical contact with any machine upon operating, and Face recognition is easy to operate, especially for disabled people. The researchers encounter many errors in doing the research. Number one is the delay recognition and Multiple functions of switching. However, the system could be enhanced by replacing more power full camera and powerful board.
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