National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Visual control of the number of free parking spaces using cloud services
Hruban, Vladimír ; Juránek, Roman (referee) ; Špaňhel, Jakub (advisor)
The aim of this thesis is to design and develop cloud app service using public cloud services and computer vision to asses number of free parking spots at parking lot. I designed two possible architectures (using different potion of cloud services to run) and one of these was implemented. I also developed a web-app to handle user-interaction with the service.
Smartphone Game Using Recognition of Face Features
Skoták, Jiří ; Szőke, Igor (referee) ; Herout, Adam (advisor)
This master's thesis focuses on smartphone game for iOS, which uses recognition of face features and other information, which can be obtained from a smartphone's camera and sensors. This work describes a few approaches for real-time face detection and then introduces and compares possibilities for such task on iOS. Moreover, the thesis contains a draft of the final game and its levels. The game showcases various technologies in its levels such as object detection, processing an image color and others. Finally, the thesis introduces the final form of the game that is released and available on the App Store.
Visual control of the number of free parking spaces using cloud services
Hruban, Vladimír ; Juránek, Roman (referee) ; Špaňhel, Jakub (advisor)
The aim of this thesis is to design and develop cloud app service using public cloud services and computer vision to asses number of free parking spots at parking lot. I designed two possible architectures (using different potion of cloud services to run) and one of these was implemented. I also developed a web-app to handle user-interaction with the service.
Smartphone Game Using Recognition of Face Features
Skoták, Jiří ; Szőke, Igor (referee) ; Herout, Adam (advisor)
This master's thesis focuses on smartphone game for iOS, which uses recognition of face features and other information, which can be obtained from a smartphone's camera and sensors. This work describes a few approaches for real-time face detection and then introduces and compares possibilities for such task on iOS. Moreover, the thesis contains a draft of the final game and its levels. The game showcases various technologies in its levels such as object detection, processing an image color and others. Finally, the thesis introduces the final form of the game that is released and available on the App Store.

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