Abstract
The research focuses on the integration of computer vision capabilities through OpenCV with Arduino-based hardware to create an efficient and versatile home automation system. The system employs cameras for image processing, allowing it to recognize and respond to various environmental changes within the home. The hardware setup utilizes Arduino microcontrollers as the central processing units, enabling seamless communication between the OpenCV algorithms and the connected devices. A user-friendly interface facilitates remote monitoring and control of home appliances through a mobile or web application. By combining the power of OpenCV for image processing and Arduino for real-time control, this home automation system provides a smart and adaptive solution for enhancing security, energy efficiency, and overall convenience within a household. The research’s modular design allows for future expansions and integration with emerging technologies, ensuring scalability and relevance in the rapidly evolving field of smart home automation.
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