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Defect detection using smart camera
Hons, Viktor ; Boštík, Ondřej (referee) ; Honec, Peter (advisor)
This thesis deals with the application of smart cameras and verification of its functions. In the first part the term smart camera is defined, the parts of it and the most common applications are presented. A review of smart cameras from the different manufactures on the market is made. After selection of the proper camera model three task from real industrial application are specified – inspection of capacitor print, inspection of beer label and dimension measurement. With the picked camera the tasks are performed, including the layout of workplace, scene and lighting. Further the reliability is tested together with the successfulness and the speed of designed solution.
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Information System for a Doctor with a Mobile Application for Patients
Vlasák, David ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This thesis deals with the development of an information system for a doctor and patients. Doctor uses a web application, which is implemented using ASP.NET MVC. Patient uses a mobile application, which is written using Xamarin.Forms technology. This application uses optical character recognition for patient registration. The most important functions of the system is to manage patients, their orders and also for patients the possibility to request a reorder. The system was successfully designed, implemented and tested by potential users.
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Automatic Quantification of Chemical Equations from Photos
Kraina, Martin ; Šimon, Martin (referee) ; Beran, Vítězslav (advisor)
The target of this thesis is to design and implement Android application, which provides automated chemical equation balancing tool. System enables taking a photo of reaction using the smartphone camera and choosing reaction position in the picture. Then the system accomplish operations necessary to optical character recognition and chemical equation balancing. Result of these operations is presented to the user. Within the implementation, graphical user interface meeting users requirements on functionality and easy controllability was designed
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Deep Networks for Handwriting Recognition
Richtarik, Lukáš ; Herout, Adam (referee) ; Hradiš, Michal (advisor)
The work deals with the issue of handrwritten text recognition problem with deep neural networks. It focuses on the use of sequence to sequence method using encoder-decoder model. It also includes design of encoder-decoder model for handwritten text recognition using a transformer instead of recurrent neurons and a set of experiments that were performed on it.
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Recognition of Handwriting for Mobile Phones
Talaš, Vladimír ; Chalupníček, Kamil (referee) ; Schwarz, Petr (advisor)
The goal of this project is to create a mobile phone application, which can use phone camera to get a photography. This photography contains text, application has an ability to find a text, recognize all characters and send output as SMS. In this application there are implemented algorithms for text recognize from pictures based on Hidden Markovov Models. The particular stress is put on training of the model, to maximalise a succes of text recognition. There are some experiments model training with model variables, which are leading in better ability of text recognition. It was achieved a value of 97% succesfully recognized characters.
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Code Detection from Control Image
Růžička, Miloslav ; Zuzaňák, Jiří (referee) ; Beran, Vítězslav (advisor)
Work deals with code detection from control image. The document presents relevant image processing techniques dealing with a noise reduction, thresholding, color models, object segmentation and OCR. This project examines advantages and disadvantages of two selected methods for object segmentation and introduces developed system for object segmentation. The developed system for object segmentation and classification is realized, evaluated and results are discussed in details.
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Autonomous Crossword Puzzles for Android Platform
Buno, Petr ; Polok, Lukáš (referee) ; Beran, Vítězslav (advisor)
This thesis deals with algorithms for search in the recognized text of the captured image and it discusses the development of applications for the Android mobile platform. This paper presents the libraries for text recognition in image and existing algorithms to search for text string. The practical part is devoted to the design and implementation of applications for autonomous search crossword puzzles from photos taken by the user. The teoretical part describes the important tools for developing applications for the Android platform, the principles of text recognition from the image and puzzle WordFind rules. At the end the paper summarizes the results and evaluation to find success solution, intuitive GUI and overall usability. In the conclusion, the evaluation of results and outlines possible application extension.
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Image processing using Android device - gas-meter value recognition
Wertheim, Michal ; Richter, Miloslav (referee) ; Honec, Peter (advisor)
This thesis describes the design of the image processing for Android system, consisting of the choice of the development environment and its implementation. Workflow solution to the problem involves development of the Androidapplication and it’s graphical user interface. The text includes description of the application functionality, communicationwith a camera, storing and retrieving data. It also describes used algorithms and image processing methods used for detecting values from the counter of the gas meter.
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Mobile Interpreter for Android
Homola, Vladimír ; Maršík, Lukáš (referee) ; Beran, Vítězslav (advisor)
This bachelor thesis describes implementation of the Mobile interpreter application with focus on its user interface. The goal is to create an application with such interface with which the users will be able to work effectively and with pleasure. The first part contains a summary of the knowledge learned during study of this problem. After that is definition of the future user, situations in which he used it and design of system and its interface. Description of implementation and user testing is in the last part.
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License Plate Recognition
Tilňak, Tomáš ; Juránek, Roman (referee) ; Herout, Adam (advisor)
This thesis talks about a license plate recognition problematics and my implementation of license plate recognition program. At first I introduce a format of license plates in Czech republic. Next chapter is about existing solutions for each phase of license plate recognition according to the selected scientific articles. The main part of this thesis is about design and implementation of license plate recognition program. I also introduce libraries I used in implementation. Necessary part in software development is testing, which has also its own chapter. In the final part there is a review of results and proposals for future changes.
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