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Configurable Embedded Photo/Video Trap with Storing Data and Self Adaptation to Surroundings
Výborný, Filip ; Šimek, Václav (referee) ; Strnadel, Josef (advisor)
This diploma thesis deals with a design and construction of an embeded camera trap with a video recording and night vision support, which is able to self adapt to surroundings. The device is based on the Raspberry Pi platform and configurable by touch screen control with a user-friendly graphical interface. Also the web-application for easy remote administration was developed in Ruby On Rails framework. The camera trap was built and successfully tested under the real conditions. There are also typical application cases and requirements for camera trap construction described in this thesis.
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Reinforcement learning for solving game algorithms
Daňhelová, Jana ; Uher, Václav (referee) ; Kolařík, Martin (advisor)
The bachelor thesis Reinforcement learning for solving game algorithms is divided into two distinct parts. The theoretical part describes and compares the fundamental methods of reinforcement learning with special attention to the methods of active learning – Q-learning and deep learning. In the practical part the deep q-learning technique is chosen for testing and applied to the case of the Snake game. The results are presented in the form of program written in Python programming language, which consists of the game environment created in PyGame, the model of convolutional neural network designed in Keras and agent playing the game. As an output of the program there are several types of datasets in CSV format. The gained data containing the values of parameters like number of epochs, accuracy, loss or the amount of the reward can later be used for further processing.
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Home Multimedia Centre
Burkert, Michal ; Herout, Adam (referee) ; Sumec, Stanislav (advisor)
This thesis deals with design and implementation application, that should be equivalent to several eletronic devices such as DVD player or videotape recorder. Computer used for this purpose is often branded as Home Theater Personal Computer (HTPC). This thesis studies available multimedia libraries and software in operating system Linux, that is used to create designed application. It shows some similar existing application to create HTPC either commercial or opensource.
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Reinforcement learning for solving game algorithms
Daňhelová, Jana ; Uher, Václav (referee) ; Kolařík, Martin (advisor)
The bachelor thesis Reinforcement learning for solving game algorithms is divided into two distinct parts. The theoretical part describes and compares the fundamental methods of reinforcement learning with special attention to the methods of active learning – Q-learning and deep learning. In the practical part the deep q-learning technique is chosen for testing and applied to the case of the Snake game. The results are presented in the form of program written in Python programming language, which consists of the game environment created in PyGame, the model of convolutional neural network designed in Keras and agent playing the game. As an output of the program there are several types of datasets in CSV format. The gained data containing the values of parameters like number of epochs, accuracy, loss or the amount of the reward can later be used for further processing.
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Home Multimedia Centre
Burkert, Michal ; Herout, Adam (referee) ; Sumec, Stanislav (advisor)
This thesis deals with design and implementation application, that should be equivalent to several eletronic devices such as DVD player or videotape recorder. Computer used for this purpose is often branded as Home Theater Personal Computer (HTPC). This thesis studies available multimedia libraries and software in operating system Linux, that is used to create designed application. It shows some similar existing application to create HTPC either commercial or opensource.
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|
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Configurable Embedded Photo/Video Trap with Storing Data and Self Adaptation to Surroundings
Výborný, Filip ; Šimek, Václav (referee) ; Strnadel, Josef (advisor)
This diploma thesis deals with a design and construction of an embeded camera trap with a video recording and night vision support, which is able to self adapt to surroundings. The device is based on the Raspberry Pi platform and configurable by touch screen control with a user-friendly graphical interface. Also the web-application for easy remote administration was developed in Ruby On Rails framework. The camera trap was built and successfully tested under the real conditions. There are also typical application cases and requirements for camera trap construction described in this thesis.
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