Smart Home Automation: Gesture-Based Appliance Control with Bluetooth and Flame Detection

This project presents a Smart Home Automation system that combines gesture-based appliance control, Bluetooth communication, and flame detection using an Arduino UNO. The system allows users to control a fan and two LEDs through hand gestures captured by a webcam. OpenCV and MediaPipe Hands are used to detect hand landmarks and recognize gestures. Python and PySerial transmit the corresponding commands to the Arduino UNO. An HC-05 Bluetooth module provides an alternative wireless control method. A digital flame sensor is integrated to detect flame conditions and activate a buzzer and fan relay according to the programmed logic. The prototype demonstrates the integration of embedded systems, computer vision, wireless communication, and sensor-based automation using commonly available components. The project is intended for educational and experimental purposes. It is not a certified fire alarm or safety system. Keywords: Smart Home Automation, Internet of Things, Arduino UNO, Gesture Recognition, Bluetooth, Flame Detection, OpenCV, MediaPipe, Embedded Systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-03
DOI
https://doi.org/10.5281/zenodo.23921696
Primary Topic
Hand Gesture Recognition Systems
Type
preprint
Controls
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preprint

Smart Home Automation: Gesture-Based Appliance Control with Bluetooth and Flame Detection

Swarali Jadhav, Vyas Chavhan, Bhumika Pardeshi, Ashutosh Fadnis
Zenodo (CERN European Organization for Nuclear Research)
Hand Gesture Recognition Systems
preprint

Smart Home Automation: Gesture-Based Appliance Control with Bluetooth and Flame Detection

Swarali Jadhav, Vyas Chavhan, Bhumika Pardeshi, Ashutosh Fadnis
preprint en

Abstract

This project presents a Smart Home Automation system that combines gesture-based appliance control, Bluetooth communication, and flame detection using an Arduino UNO. The system allows users to control a fan and two LEDs through hand gestures captured by a webcam. OpenCV and MediaPipe Hands are used to detect hand landmarks and recognize gestures. Python and PySerial transmit the corresponding commands to the Arduino UNO. An HC-05 Bluetooth module provides an alternative wireless control method. A digital flame sensor is integrated to detect flame conditions and activate a buzzer and fan relay according to the programmed logic. The prototype demonstrates the integration of embedded systems, computer vision, wireless communication, and sensor-based automation using commonly available components. The project is intended for educational and experimental purposes. It is not a certified fire alarm or safety system. Keywords: Smart Home Automation, Internet of Things, Arduino UNO, Gesture Recognition, Bluetooth, Flame Detection, OpenCV, MediaPipe, Embedded Systems.

Zenodo (CERN European Organization for Nuclear Research)
Ajeenkya DY Patil University (IN)
Hand Gesture Recognition Systems
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