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Wireless robot control using mobile platform
Matuška, Jakub ; Kiac, Martin (referee) ; Přinosil, Jiří (advisor)
This bachelor’s thesis deals with design and implementation of an application for robot’s omnidirectional movement control using mobile platform. Implementation includes an Android application, used as user interface, as well as robot–side Python program for controlling movement and sending RTP stream to Android application. User can control robot’s movement using two virtual joysticks. Raspberry Pi was used as the control unit. The application has security module. Pipeline-based multimedia framework named GStreamer was used to implement RTP steaming. This paper describes necessary theory first and then introduces basic building blocks used in creation process of the application.
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Advanced analysis of moving objects in the image
Medynskyi, Ivan ; Sikora, Pavel (referee) ; Kiac, Martin (advisor)
This work focuses on image processing using the OpenCV library and detecting moving objects in video using convolutional neural networks. The resulting application can detect moving objects in video or in real time and includes a user interface that allows the user to easily control the application. Part of this application is the YOLO convolutional model, which is designed to detect moving objects.
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Image data segmentation using deep neural networks
Hrdý, Martin ; Myška, Vojtěch (referee) ; Kiac, Martin (advisor)
The main aim of this master’s thesis is to get acquainted with the theory of the current segmentation methods, that use deep learning. Segmentation neural network that will be capable of segmenting individual instances of the objects will be proposed and created based on theoretical knowledge. The main focus of the segmentation neural network will be segmentation of electronic components from printed circuit boards.
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IoT system for gardening
Mlčák, Petr ; Kiac, Martin (referee) ; Caha, Tomáš (advisor)
The thesis deals with the design and creation of a weather station suitable for gardeners. The created device is able to measure temperature, pressure, humidity, amount of precipitation, wind speed and direction, UV index and also temperature and soil moisture at several depths. The weather station is powered by a battery with auxiliary charging from a photovoltaic panel. The thesis is divided into several parts. The theoretical part describes the individual physical principles of measurement of the considered physical quantities. Subsequently, a comparison of available sensors is made and then a final selection is made. The third part deals with the design and implementation of the hardware circuitry including the creation of the PCB. In this section, the holders of each sensor are also designed for printing on a 3D printer, which are then printed. The fourth section deals with software design issues, which is described in more detail. Finally, the whole weather station is assembled, wired and the functionality of all components is verified by sending the measured data to Thingspeak.
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Object detection in video using neural networks and Android application
Mikulec, Vojtěch ; Kiac, Martin (referee) ; Myška, Vojtěch (advisor)
This master’s thesis deals with the implementation of functional solution for classifying road users using mobile device with Android operating system. The goal is to create Android application which classifies vehicles in real time using rear-facing camera and saves timestamps of classification. Testing is performed mostly with own, diversely modificated dataset. Five models are trained and their performance is measured in dependence on hardware. The best classification performance is from pretrained MobileNet model where transfer learning with 6 classes of own dataset is used – 62,33 %. The results are summarized and a method for faster and more accurate traffic analysis is proposed.
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Utilization Of Modern Image Processing Methods In Control Of Laboratory Processes
Kiac, Martin
The thesis deals with the processing and detection of specific objects in the image on the Android mobile platform. The main objective of this work is to implement a mobile application for the control of pipetting processes based on images from a camera of a mobile device. In this thesis is used for image processing an open source computer vision library OpenCV. The proposed solution was subsequently implemented on the Android platform using the Android Studio development environment. The following article describes the issue and the results of the thesis solution.
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Intelligent hatchery of poultry
Kejík, Jan ; Číka, Petr (referee) ; Kiac, Martin (advisor)
The aim of this thesis was to design and build an intelligent hatchery for poultry. The first part deals with the description of poultry hatching processes. Furthermore, the bestselling hatcheries from different manufacturers are compared and the proposed hatchery management system is described. In other parts of the work there is described the practical construction of the hatchery as it was constructed. The mechanical part of the hatchery uses largely the components printed on a 3D printer, the electronic equipment uses the components of the Arduino platform. A significant part is the description of embedded software implemented in the object-oriented programming language C++. The resulting hatchery is equipped with an user-friendly interface with the ability of control by mobile applications. As the practical use of the hatchery requires continuous reliable operation for several weeks, the hatchery had been tested for several months. During this time, practical experience was gained to help with the solving of some problematic components and to debug the resulting software.
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Monitoring of production facilities
Borsuk, Adam ; Kiac, Martin (referee) ; Číka, Petr (advisor)
The aim of the diploma thesis is to study the possibilities of creating a monitoring system for older production facilities already in operation. Select the necessary components for the nature of the equipment to create a system that is able to capture and provide information about activities on the equipment. The second goal is to design a suitable communication model for clear information about the operation, sending and storing data. The third goal is to analyze the dual-core ESP32 microprocessor against its predecessors in the role of system control unit.
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Use of modern image processing methods in the control of laboratory processes
Kiac, Martin ; Říha, Kamil (referee) ; Krajsa, Ondřej (advisor)
The thesis deals with the processing and detection of specific objects in the image on the Android mobile platform. The main objective of this work was to design and then implement a mobile application for Android operating system, which allows control of pipetting processes based on images from a mobile device camera. The OpenCV library is used in the application for image processing. The resulting application should serve primarily in laboratories as a tool for complete analysis of the pipetting process. The work is divided into two main chapters, which further consist of sections and smaller subsections. The first chapter is devoted to the theoretical analysis of this work. Here is also describes used technology, Android operating system, OpenCV library and important parts of image processing. The second chapter deals with the proposal and subsequent practical solution of this work. There is a proposal and the following procedure for solving this work, important techniques, methods of processing and analysis of the camera image. The conclusion of the thesis is an evaluation of the results of the solution of this work.
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Applications for image processing for Android OS
Kiac, Martin ; Říha, Kamil (referee) ; Krajsa, Ondřej (advisor)
This work deals with an issue of image processing and detection of predefined objects from the camera on Android platform. This work uses image processing tools and methods from OpenCV library. The work consists of a theoretical part, in which the Android platform itself is described, the structure of the operating system and Android Studio development environment. The theoretical part also contains a description of OpenCV library and describes the theory of image processing using this library. The practical part of this work describes implementation of OpenCV library to development environment Android Studio. The practical part also describes techniques for image processing by OpenCV library. Subsequently this work contains analysis and searching for contours, the use of Hough transformation and segmentation of the processed image. This work also describes realization of graphical user interface and subsequently work with the application's database. The conclusion is about final evaluation of the work and achieved results.
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