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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.
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Fadnis et al. (2026) studied this question.
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