The thesis describes the development and implementation of a home automation system using computer vision methods. Initially, we explore the fields of home automation and the Internet of Things. We summarize the key components, structure, and operation. We familiarize ourselves with the concept of computer vision, its functioning, and its applicability in the field of home automation.
Next, we explain the structure used according to the system's needs. This is followed by a description of the essential components used, specifically the Home Assistant platform, the Frigate network video recorder, the Raspberry Pi microcomputer, and the Tapo C200 camera. We provide a detailed description of the setup process and the system's operation. The system is connected to the local network, additional functionalities are implemented, and automations are created. We then describe basic user scenarios and test them. Finally, we evaluate the system's performance with results and findings, and provide considerations and possibilities for various upgrades.
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