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@article{187464,
author = {Faijan Shakir Khan and Vivek Sundarlal Turkar and Sanskruti Shrikant Singanjude and Sagar Premkumar Moon and Gunjan Dilip Kakde and Ganesh Digambara Gabale},
title = {Home Automation Using Hand Gesture},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {6},
pages = {5468-5474},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=187464},
abstract = {Imagine being able to control the fan and lights in your room with a wave of your hand.This project makes that possible.This home automation system uses hand gestures in place of switches or smartphone apps. A simple camera, like a webcam, records your hand signals. A computer program then determines the gesture you are making.Once it understands your command, it tells a small device called an Arduino to turn your appliances on or off. This is very helpful for people who have difficulty speaking or moving around because it gives them a simple way to organize their living area. There's also a special hand signal for sending an emergency alert.
This proposed gesture-based home automation system Leveraging both a Personal computer and Arduino integrates hardware and software components to provide an intuitive and interactive control interface for smart homes. Webcam captures handgestures video and it is going to be fed to the personal computer. Sophisticated gesture recognition software (python), employing computer vision using a machine learning technique (CNN-Convolutional Neural Network) detects and classifies these gestures respectively. By analyzing movement patterns and features, the system translates gestures into predefined commands. The personal computer then communicates with Arduino to operate the corresponding device which is bulb.},
keywords = {ConvolutionalNeuralNetwork, home appliances such as bulb and fan, gesture recognition, python,opencv,CNN.},
month = {November},
}
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