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Mobile Application for Management and Reservation of Products
Joukal, Marek ; Pavelková, Alena (referee) ; Špaňhel, Jakub (advisor)
This bachelor thesis deals with the design and subsequent development of the mobile application for the Android operating system as a supporting application of the simultaneously developed web service of the reservation system. The goal of the thesis is to create a visually minimalistic yet intuitive and, above all, simple application, by which the user can efficiently manage his / her devices or objects, whether in home or at work.
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Web Gallery with Person Identification
Hubl, Lukáš ; Špaňhel, Jakub (referee) ; Hradiš, Michal (advisor)
This bachelor thesis focuses on the creation of an application which serves as a web gallery for saving and viewing photographs with the possibility of automatic filtration of faces. The application chooses its instruments for creating particular parts as well as including the instruments for the automatic identity recognition, and its implementation into the created web application. The test results of the face's detection and the recognition of particular persons are shown on dataset, which was created intentionally for this work. Last chapter describes further possibilities for improving particular elements the resulting application.
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Web-Based Image Annotation Tool
Vostřejž, Tomáš ; Hradiš, Michal (referee) ; Špaňhel, Jakub (advisor)
This thesis deals with the development of a web application for image data annotation. Describes the design and implementation of the client and server side of a tool that works with video files. Supports object tracking using interpolation. It is implemented in JavaScript using the Angular platform and the Express library. Allows the user to create point, line, stroke, rectangle, and polygon annotations. Annotations are created based on annotation templates that the tool organizes into groups. Datasets have one or more annotation groups and the user has the option to transfer and reuse them between datasets using a personal library. The tool exports the resulting annotations in JSON format.
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Mobile and Web App for Supporting Group Work
Polanský, Petr ; Špaňhel, Jakub (referee) ; Herout, Adam (advisor)
This master's thesis describe design and implementation of mobile and web application for supporting group work. Every team member send his work report in specific time period for compare themself with each other. In first part is described analysis and motivation for this application. Next chapters inform about similiar applications, Android platform and used technologies. In design chapter are described screens of mobile application, history of their design and web application design. In the last chapter is described implementation and testing.
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A Web Tool for Tracking Progress on Issues
Lamacz, Jan ; Špaňhel, Jakub (referee) ; Herout, Adam (advisor)
This diploma thesis focuses on design of the web application for project management. The final product is more process-oriented compared to most of other widely spread project management tools. It builds on the visual representation of tasks' progress. One of the main features is its simplicity and user friendliness as it also aims at the users who are not willing to invest their time to discover more complex applications but are willing to use some project management tool. The application is developped in the Symfony framework.
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Fine-Grained Recognition and Re-Identification of Vehicles Using Advanced Feature Extraction
Doseděl, Ondřej ; Hradiš, Michal (referee) ; Špaňhel, Jakub (advisor)
Práce se zabývala analýzou a následným vylepšením metod užívaných k rozpoznávání typů vozidel a jejich re-identifikace. Navržená metoda může být využita jak pro rozeznání, tak pro re-identifikaci. Byla založena na používání tzv. 3D bounding boxes. Pomocí těchto boxů docházelo k detekci vozidla na obraze. Vozidlo bylo následně normováno rozbalením do dvojrozměrné interpretace. Tato metoda byla vylepšena určením směru vozidla a rozlišováním mezi čelní a zadní stranou vozidla během rozbalení třírozměrného modelu. Představená metoda vylepšuje stávající metodu pro rozpoznávání a snižuje její chybovost až o 13 % pro jeden vzorek a o 17% pro přesnost trati. Pro re-identifikaci nedošlo k zlepšení při použití LFTD agregovaní.
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Detection of Graffiti Tags in Image
Fischer, Martin ; Kodym, Oldřich (referee) ; Špaňhel, Jakub (advisor)
The aim of this work is to compare different approaches of computer vision with the intention of automatic detection of graffiti tags in the image. The solution was based on models based on neural networks. Both the proven detection models and the experimental models were tested here. The most accurate one (Faster R-CNN) achieved an accuracy of 83% mAP, indicating the suitability of these models to the tag detection problem.
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Web-Based Management and Lending System
Vitásek, Jakub ; Herout, Adam (referee) ; Špaňhel, Jakub (advisor)
Cílem této práce je analýza a implementace webového systému pro správu a půjčování zařízení, které uživatelům zprostředkuje přehled dat v systému a historii transakcí zařízení. Výsledná aplikace byla implementována v PHP s využitím Nette Frameworku, MySQL a AJAXu. V první polovině této práce je probrána analýza existujících platforem, popis jednotlivých fází implementace a seznam využitých návrhových vzorů. Druhá polovina pojednává o testování, využitých komponentách a jejich opodstatnění, a nakonec sumarizuje využitelnost implementovaného systému. Výsledkem této práce je implementace systému pro správu a půjčování zařízení, který uživatelům umožňuje vést efektivní evidenci půjčování položek.
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Graffiti Tags Detection Mobile Application
Chovaneček, Přemysl ; Teuer, Lukáš (referee) ; Špaňhel, Jakub (advisor)
Thesis focuses on the object recognition of images, using the principles of artificial intelligence. It solves the signature detection of authors in the field of art called graffiti. It concerns about basic problematic of this field, it also points to the use of computer vision followed by practical application on mobile devices, specifically on the Android platform. The selected neural network models was the ssdMobileNet_v2 . The trained model achieves mAP accuracy of 73.5% meanwhile the IoU was set to 0.6. After the quantization process, the accuracy was reduced to 68.5%. The mobile application provides real-time detection and several other necessary functions for localization and data collection.
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Traffic Violation Detection on Crossroads
Karpíšek, Miroslav ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This bachelor thesis presents procedure for the detection of red-light violation. In the theoretical part of the thesis, the current solution aproaches used in image processing are described. The practical part focuses on creation of program for automatic traffic corridors detection, vehicle tracking and the current traffic light state detection. The results obtained by experimenting with the proposed procedure and the possibilities of its further improvement are also discussed.
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