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Acoustic detection of starlings through artificial intelligence
Zezula, Benjamin ; Vlachová Hutová, Eliška (referee) ; Marcoň, Petr (advisor)
To protect the vineyards from starlings is very costly and ineffective with the available resources over a period of time. In my project, I have designed a detection module that relays information about the flock location in the vineyard to the control module and thus produces scaring. I have designed two kinds of detection modules, which are compared. The first variant consists of a single directional microphone that rotates and sequentially senses the entire area of the vineyard. The second variant consists of four microphones, each one is directed to the cardinal point and based on the intensity of sound, the module will provide the information about the direction where the flock is located. Both detection modules process the signal in a Raspberry Pi 4 single board computer using an artificial neural network algorithm powered by MobileNetV2 architecture.
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Rubix Cube Demonstration on Mobile Platforms
Gajdoš, David ; Zbořil, František (referee) ; Zbořil, František (advisor)
This thesis describes three Rubik's cube like puzzles. The goal is to create Android application which allows users to scan sides of a puzzle. After successfully scanning all sides of a puzzle, the application finds sequence of moves needed to perform to solve the puzzle.This found sequence is then textually and visually presented to the user. The application then guides the user through individual moves until the puzzle is solved.
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Acoustic detection of starlings through artificial intelligence
Zezula, Benjamin ; Vlachová Hutová, Eliška (referee) ; Marcoň, Petr (advisor)
To protect the vineyards from starlings is very costly and ineffective with the available resources over a period of time. In my project, I have designed a detection module that relays information about the flock location in the vineyard to the control module and thus produces scaring. I have designed two kinds of detection modules, which are compared. The first variant consists of a single directional microphone that rotates and sequentially senses the entire area of the vineyard. The second variant consists of four microphones, each one is directed to the cardinal point and based on the intensity of sound, the module will provide the information about the direction where the flock is located. Both detection modules process the signal in a Raspberry Pi 4 single board computer using an artificial neural network algorithm powered by MobileNetV2 architecture.
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Rubix Cube Demonstration on Mobile Platforms
Gajdoš, David ; Zbořil, František (referee) ; Zbořil, František (advisor)
This thesis describes three Rubik's cube like puzzles. The goal is to create Android application which allows users to scan sides of a puzzle. After successfully scanning all sides of a puzzle, the application finds sequence of moves needed to perform to solve the puzzle.This found sequence is then textually and visually presented to the user. The application then guides the user through individual moves until the puzzle is solved.
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