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iOS Application for Festival Visitors
Menšík, Jan ; Polášek, Tomáš (referee) ; Bobák, Petr (advisor)
The aim of this thesis is to implement iOS application aggregating information about festivals to one place. Application should provide general overview about individual festival events and help users with time planning. Thesis is describing process of creation from user interface design and system architecture to implementation with final testing. The result is client-server application providing web interface to organizers for any kind of festival registration which is later available in the mobile application. Server is implemented in Django framework, client application in framework SwiftUI.
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Mobile Application Using Deep Convolutional Neural Networks
Poliak, Sebastián ; Herout, Adam (referee) ; Sochor, Jakub (advisor)
This thesis describes a process of creating a mobile application using deep convolutional neural networks. The process starts with proposal of the main idea, followed by product and technical design, implementation and evaluation. The thesis also explores the technical background of image recognition, and chooses the most suitable options for the purpose of the application. These are object detection and multi-label classification, which are both implemented, evaluated and compared. The resulting application tries to bring value from both user and technical point of view.
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Native Application for Mobile Devices
Beníčková, Zuzana ; Bartík, Vladimír (referee) ; Kreslíková, Jitka (advisor)
The diploma thesis deals with the universal mobile client-server application of Android and iOS devices solved in the native environment of the given operating systems. The work explores approaches to solving the problem in both environments. The application solution will display, store and process a variety of data sent to the server in a unified form as well as customize the look given the conditions addressed conditions and equipment. The aim of the thesis is to show and compare the native potential of the mobile device as well as to design a unified application of frequently asked issues - to view and access a large amount of stored data to the user.
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Mobile System for Text Recognition on iOS
Bobák, Petr ; Sochor, Jakub (referee) ; Zemčík, Pavel (advisor)
This thesis describes a development of a modern client-server application for text recognition on iOS platform. The reader is acquainted with common principles of a client-server model, including its known architecture styles, and with a distribution of logical layers between both sides of the model. After that the thesis depicts current trends and examples of suitable technologies for creating an application programming interface of a web server. Possible ways of text recognition on the server side are discussed as well. In context of a client side, the thesis provides an insight into iOS platform and a few important concepts in iOS application development. Following implementation of the server side is stressed to be reusable as much as possible for different kinds of use cases. Last but not least, the thesis provides a simple iOS framework for a direct communication with the recognition server. Finally, an application for evaluation of food ingredients from a packaging material is implemented as an example of usage.
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iOS Application for Festival Visitors
Menšík, Jan ; Polášek, Tomáš (referee) ; Bobák, Petr (advisor)
The aim of this thesis is to implement iOS application aggregating information about festivals to one place. Application should provide general overview about individual festival events and help users with time planning. Thesis is describing process of creation from user interface design and system architecture to implementation with final testing. The result is client-server application providing web interface to organizers for any kind of festival registration which is later available in the mobile application. Server is implemented in Django framework, client application in framework SwiftUI.
|
|
|
Mobile Application Using Deep Convolutional Neural Networks
Poliak, Sebastián ; Herout, Adam (referee) ; Sochor, Jakub (advisor)
This thesis describes a process of creating a mobile application using deep convolutional neural networks. The process starts with proposal of the main idea, followed by product and technical design, implementation and evaluation. The thesis also explores the technical background of image recognition, and chooses the most suitable options for the purpose of the application. These are object detection and multi-label classification, which are both implemented, evaluated and compared. The resulting application tries to bring value from both user and technical point of view.
|
|
|
Native Application for Mobile Devices
Beníčková, Zuzana ; Bartík, Vladimír (referee) ; Kreslíková, Jitka (advisor)
The diploma thesis deals with the universal mobile client-server application of Android and iOS devices solved in the native environment of the given operating systems. The work explores approaches to solving the problem in both environments. The application solution will display, store and process a variety of data sent to the server in a unified form as well as customize the look given the conditions addressed conditions and equipment. The aim of the thesis is to show and compare the native potential of the mobile device as well as to design a unified application of frequently asked issues - to view and access a large amount of stored data to the user.
|
|
|
Mobile System for Text Recognition on iOS
Bobák, Petr ; Sochor, Jakub (referee) ; Zemčík, Pavel (advisor)
This thesis describes a development of a modern client-server application for text recognition on iOS platform. The reader is acquainted with common principles of a client-server model, including its known architecture styles, and with a distribution of logical layers between both sides of the model. After that the thesis depicts current trends and examples of suitable technologies for creating an application programming interface of a web server. Possible ways of text recognition on the server side are discussed as well. In context of a client side, the thesis provides an insight into iOS platform and a few important concepts in iOS application development. Following implementation of the server side is stressed to be reusable as much as possible for different kinds of use cases. Last but not least, the thesis provides a simple iOS framework for a direct communication with the recognition server. Finally, an application for evaluation of food ingredients from a packaging material is implemented as an example of usage.
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