The analysis for the extension of the control system and proposal of controlling program for surveillance cameras and related theoretical analysis necessary for understanding problems. Proposal communication protocol to access all functions via TCP/IP communication. Subsequent protocol implementation into control program and a programmable controller. Programming application with a user interface for camera control and basic image processing. The program also represents the server for TCP/IP communication with clients over the proposed protocol. The proposed application has to fulfill high pretensions of data streaming from cameras. Extension of the existing control system of the telescope, dome and other systems. The addition of analog measurement and control of digital inputs and outputs. Furthermore, control of stepper motors to control focusers. The embedded communication protocol will be expanded of the new instruction.

This work deals with the classification methods used in the knowledge discovery from data process and discusses the possibilities of their validation and comparison. Through experiments, the work focuses on the analysis of four selected methods: Naive Bayes classificator, decision tree, neural network and SVM. Factors influencing basic characteristics such as training speed, classification speed, accuracy are examined. A part of the thesis is a desktop application, which is a tool for training, testing and validation of individual methods. Eleven reference data sets are selected for experimental purposes. At the end of this work experimental results of comparison and observed characteristics of classification methods are summarized.