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Adaptive Pet Monitoring System within Smart Home
Ďurina, Michal ; Rozman, Jaroslav (oponent) ; Janoušek, Vladimír (vedoucí práce)
The aim of this thesis is to create an intelligent system that monitors and evaluates the behavior of a pet using image processing from a camera. The thesis will also focus on training existing models in order to improve the accuracy of animal detection. The application will run on the embedded Raspberry Pi system and, in addition to observation, performs specific actions based on the unwanted behavior of the animal using connected hardware (ultrasound, actuators, nebulizers, etc.), which has the task of influencing the animal’s behavior. Based on this monitoring and implementation of the action, the success of preventing the animal from moving to a predetermined unwanted area will be evaluated with regard to their safety. These actions will be optimized by experimentation and validation of results during development based on animal behavior. Part of the work is also a review of existing applications of Ambient intelligence in Smart Home, finding similar solutions used in practice.
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