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Raspberry Pi: intelligent door peephole
Miček, Adam ; Dobrovský, Ladislav (oponent) ; Matoušek, Radomil (vedoucí práce)
The goal of this diploma thesis is to create the functional prototype of intelligent peephole (video doorman) on Raspberry Pi 3B+ platform. It will support face recognition of the people, alternatively authorization by QR code and the record of the situations in form of picture, video, and text. Furthermore, it will allow remote control from Android application with possibility to see live stream of Raspberry Pi’s video in this application. Creation of the project is preceded by brief introduction of Raspberry Pi platform, its alternatives and process of face recognition. Python programming language was primarily used for software development on Raspberry Pi platform. Two approaches were used for image processing, direct processing on Raspberry Pi and on more powerful computer. This work describes use of various modern libraries, platforms, and frameworks, used during the creation of the project, with goal to provide beginners in this field insight into this technology, way of its use, and offer starting point for further work.
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Analysis of inhaled particles deposition in a model of human lungs
Miček, Adam ; Bělka, Miloslav (oponent) ; Lízal, František (vedoucí práce)
Correct understanding of aerosol deposition and behavior in human respiratory tract is crucial for the efficient delivery of medication and health protection. This bachelor thesis analyses deposition of 1µm particles in realistic and idealized lung geometry, from data previously acquired by positron emission tomography (PET) and computed tomography (CT). PET and CT scans were imported into Carimas 2.0 software which was used to obtain value of volumetric radioactivity. Corrections were applied to the acquired values and consequently, deposition characteristics were calculated and reviewed. Data was also compared to previous studies. Methodology of analyses and calculations was validated by duplicity of scans and their analyses, and repetition of analyses by another trained person which confirmed its good stability and credibility of use. Described procedure can serve as an example of possible way to process PET and CT data in Carimas software. Obtained detailed information about deposition and numerous deposition characteristics can be used for comparison in future studies, experiments, or used as data for validation of computer modeled deposition. Based on deposition results, inertial impaction was confirmed to be the dominant deposition mechanism in realistic model of lungs and very little impact of flow rate on deposition was found for idealized model of lungs.
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Raspberry Pi: intelligent door peephole
Miček, Adam ; Dobrovský, Ladislav (oponent) ; Matoušek, Radomil (vedoucí práce)
The goal of this diploma thesis is to create the functional prototype of intelligent peephole (video doorman) on Raspberry Pi 3B+ platform. It will support face recognition of the people, alternatively authorization by QR code and the record of the situations in form of picture, video, and text. Furthermore, it will allow remote control from Android application with possibility to see live stream of Raspberry Pi’s video in this application. Creation of the project is preceded by brief introduction of Raspberry Pi platform, its alternatives and process of face recognition. Python programming language was primarily used for software development on Raspberry Pi platform. Two approaches were used for image processing, direct processing on Raspberry Pi and on more powerful computer. This work describes use of various modern libraries, platforms, and frameworks, used during the creation of the project, with goal to provide beginners in this field insight into this technology, way of its use, and offer starting point for further work.
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Analysis of inhaled particles deposition in a model of human lungs
Miček, Adam ; Bělka, Miloslav (oponent) ; Lízal, František (vedoucí práce)
Correct understanding of aerosol deposition and behavior in human respiratory tract is crucial for the efficient delivery of medication and health protection. This bachelor thesis analyses deposition of 1µm particles in realistic and idealized lung geometry, from data previously acquired by positron emission tomography (PET) and computed tomography (CT). PET and CT scans were imported into Carimas 2.0 software which was used to obtain value of volumetric radioactivity. Corrections were applied to the acquired values and consequently, deposition characteristics were calculated and reviewed. Data was also compared to previous studies. Methodology of analyses and calculations was validated by duplicity of scans and their analyses, and repetition of analyses by another trained person which confirmed its good stability and credibility of use. Described procedure can serve as an example of possible way to process PET and CT data in Carimas software. Obtained detailed information about deposition and numerous deposition characteristics can be used for comparison in future studies, experiments, or used as data for validation of computer modeled deposition. Based on deposition results, inertial impaction was confirmed to be the dominant deposition mechanism in realistic model of lungs and very little impact of flow rate on deposition was found for idealized model of lungs.
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