This thesis deals with the possibility of using webcams as a source of spatial data for snow occurrence. The aim of this study is to propose a suitable method of snow cover detection from web camera images. From a sample of 6 webcams of the Czech Hydrometeorological Institute (CHMI) the snow cover is detected by pixel classification methods. The effect of training file size on the accuracy of classification is examined and the overall accuracy achieved by the SVM method was shown to be 97.46%. This study also aims to propose a system for determining the proportion of snow-covered areas. The algorithm consists of several sub-steps: filtering and registration of images, detection of snow, introduction of a coordinate system, calculation of the size of the surveyed area and the proportion of snow-covered area. The designed model can be used for automatic processing of images for various webcams. The melting curves of the snow cover are generated from the obtained daily values of the snow covered area. The results are validated using data from selected CHMI stations. The proposed and parameterized model confirms the possibility of successful use of webcams as a complement to ground measurement of meteorological stations and for the validation of remote sensing products.

The aim of this master thesis is to understand problematic of eyes movement tracking using webcam. In individual chapters there are introduced basic approaches of eyes movement tracking, based on this method we can get the position of eye pupil and identify where a person looks. The part of this work is program in Matlab, which using the method of infrared detection follow the position of eye pupil and transfer this movements to the movements on the computer screen. Using this program it was tested several volunteers and the results of detection were transferred to the visual form. As part of this program it was created template for assessment of accuracy of used method. At the end of work are discussed achieved results.

This thesis deals with realization of modular camera system. Introductory part is focused on market research and concept of the system. Next part is dedicated to the choice of components for realization of the system. Practical part deals firstly with design of printed circuit board for supporting control unit which will be controlling peripherals like motion sensor, IR illuminator, eventually magnetic door contact and also focuses on software creation for main and supporting control unit.

The thesis deals with the problems of user authentication. The first chapter analyzes the problem of authentication, its methods and its utilization. The second chapter presents the different security options for communication. The chapter describes security, communication and authentication protocols. There is the 2D barcode QR Code described at the end of the chapter. The third chapter is devoted to ASP.NET technology, its development and possibilities of utilization. Attention is focused on web form and server controls. There is an analysis of elements of cookies and possibilities of their use. The last chapter consists of a practical part, which describes the development of a web application. There is a description of the parts of application, such as the database, the Web navigation, master pages and etc. in the following chapter. The cardinal part of the chapter consists of an analysis and implementation of forms authentication, the attribute authentication and authentication with QR code. Finally, there is a description of way how to secure the communication by using a certificate.

This master's thesis will take us through theoretical procedure that allows us to determine the distance of an object by stereoscopic sensor. Part of this work presents the description of the steps to achieve image of objects, calibraton and rectification. At the next part our study provides an overview of algortihms for creating disparity maps and determining the distance of the object from sensor. In the following part of thesis deals with the implementation of these processes into aplication which aim is to measure the distance.

This master's thesis will take us through theoretical procedure that allows us to determine the distance of an object by stereoscopic sensor. Part of this work presents the description of the steps to achieve image of objects, calibraton and rectification. At the next part our study provides an overview of algortihms for creating disparity maps and determining the distance of the object from sensor. In the following part of thesis deals with the implementation of these processes into aplication which aim is to measure the distance.

This thesis solves design of functional device that will be able to automatically positioning back view mirrors according to the positio of driver face. Measuring position of the face provides stereovision of two webacams. The device is based on a computer Raspberry Pi 2 with designed expansion board. The created prototype can follow set view int the mirror with accuracy up to 7 cm (horizontally up to 5cm) in level of rear corner of a car. The results of this project validate design of automatic positioning mirror and it can be basis for specific implementations of the device in car.

This master's thesis deals with design and implementation of system for securing and monitoring objects. The whole system is serving as an application getaway between typical TCP/IP network and heterogeneous network containing different end devices such as security cameras, microphones and some sensors (e.g. for temperature measurement). In case of detected event, the notification is created, recorded and the user is informed via administrative front-end. System can be managed from remote location and data from devices can be shown by web interface. Theoretical part of this project concerns with the analysis of different types of connecting devices and sensors and the possibilities of their usage for the monitoring systems along with description of communications protocols for each end device. The next part deals with the cameras interfaces, content analysis and connectivity with central server. Practical part describes methods and techniques used for implementation of system.