Year: 2025
Type: article
Abstract: The convergence of Internet of Things (IoT) technologies and computer vision techniques has paved the way for innovative smart home solutions. This research explores the implementation of a gesture-based control system for smart appliances using OpenCV for hand gesture recognition and IoT for device control. The system leverages the ESP8266 microcontroller for connectivity and control and employs the MQTT protocol for communication with the Adafruit IO platform. Through a structured methodology, this study demonstrates the integration of hardware and software components, providing a seamless and intuitive interface for users. The results highlight the system's efficiency and responsiveness, marking a significant step towards more natural human-computer interactions in smart homes.
Institution: Acharya Institute of Technology
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409206987