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Web Application for Simple Management of Deadlines
Šmajzrová, Kateřina ; Špaňhel, Jakub (referee) ; Herout, Adam (advisor)
This work solves the creation of a simple web application that allows one administrator to easily manage his tasks, which he enters to his colleagues or students. The following text describes the design of the user interface and the database. I had solved this problem using the PHP framework Symfony, several scripts are written in Javascript, CSS framework Bootstrap was used to design the website. An important part of this work is user testing, data was obtained mainly through questionnaires, or personal consultation, and the results are in this thesis. After each testing phase, the existing version was improved based on the obtained data, bugs were fixed and the user interface was improved. The main benefit of the application is the simplification of assigning task to larger groups of people, it can be used for example by teachers or camp leaders. It will provide a quick overview of who has already fulfilled the tasks.
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Fingerprint Recognition with Graph Neural Networks
Pospíšil, Ondřej ; Špaňhel, Jakub (referee) ; Hradiš, Michal (advisor)
This thesis deals with the verification of fingerprints based on their graph representation. The proposed method uses a graph neural network and a combinatorial solver to obtain the matching between the minutae points of a pair of fingerprints. The matched minutae points are used to align the fingerprints using an estimated transformation by the RANSAC algorithm. The aligned fingerprints are processed by the SimGNN model. The resulting similarity score is then combined with the metrics obtained from the aligned fingerprints. The experiments summarize the selection of method parameters and the evaluation of fingerprint matching and verification accuracy. The contribution of this work is a new stable method of fingerprint alignment by solving the graph matching problem. The proposed verification method does not achieve high accuracy due to too few minutae attributes and poor discriminating power of the metrics used.
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Vehicle Following Distance Estimation from Mobile Phone in Vehicle
Zemánek, Ondřej ; Špaňhel, Jakub (referee) ; Sochor, Jakub (advisor)
The aim of this bachelor thesis is to create a mobile application for Android that estimates the distance of vehicles based on vehicle size in the camera image of the mobile phone. The estimation of the following distance is evaluated based on known camera parameters, the average vehicle width and the size of image area that represents detected car. Vehicles and their licences plates are detected in the image using cascade classifiers. Licence plate is detected only in the area of the detected vehicle. A training dataset for cascade classifier was created as part of this work. The cascade classifier is designed for vehicle detection. This work is extended with feature that tracks following distance in time and warns you with an acoustic signal on sudden distances change. This thesis is divided into five main parts - comparison of existing solutions for distance estimation, review of object detection methods, application design, implementation and evaluation of detectors, distance evaluation.
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Real-Time Face Tracking
Ermak, Aleksei ; Špaňhel, Jakub (referee) ; Hradiš, Michal (advisor)
This bachelor thesis focuses on the issue of face tracking in real time. In the beginning, this work describes the existing methods of object tracking and face detection. The following part of this thesis concentrates on the design, implementation and testing of the convolutional neural network, which was proved as the effective solution for the face tracking issue. In addition to this, the implemented network is compared to those existing methods. The last part of the thesis describes the optimization of the designed network using OpenVINO toolkit provided by Intel.
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Painting in 3D Space Using Augmented Reality
Kořínek, Milan ; Špaňhel, Jakub (referee) ; Beran, Vítězslav (advisor)
The goals of this work are described and create an application in which the user can paint in 3D space of virtual and augmented reality. First, the solution of the elements that provide the possibility of painting is clarified. It also describes the processing of the environment in which the user moves and interaction with the application. Finally, it is described how to combine individual parts of the solution with special hardware for a virtual and augmented reality.
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Occupancy Estimation of a Parking Lot from Images
Dubovec, Pavol ; Špaňhel, Jakub (referee) ; Herout, Adam (advisor)
When determining the number of vehicles in the pictures of carparks that do not have the appropriate parameters needed for processing, the problem of vehicle counting can be quite complex. The aim of this work is to create an application that detects the number of vehicles in the selected photo, regardless of selected carpark view. This detection will be performed using machine learning, based on a model, created by training on trained data, which consists of photographs of parking lots from different perspectives and positions. The problem was solved in an unconventional way, by splitting the pictures with the parking lot into several areas of interest (zones) and creating anotations from these areas, using the created application specialized for this task. The images are then formatted to the same size. These prepared cutouts are then loaded to the Keras API, which is used to train the model. The aim was to create a model that would be versatile enough to determine the number of vehicles in a photograph in any environment (time, weather, weather conditions) and in the shortest possible time. Currently, the model can predict the correct number of vehicles in the cutout on test data with an accuracy of 87% and with a first order error of 95%. This work focuses on solving this problem in real time. It is a classification into 7 classes (0-6 vehicles). This solution could be interesting especially for static cameras in atypical places (eg side view), or it is important for them to capture certain areas.
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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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