National Repository of Grey Literature 88 records found  beginprevious31 - 40nextend  jump to record: Search took 0.01 seconds. 
Counting of characteristic scales of sand lizards in colour images
Maršala, Štěpán ; Štursa, Dominik (referee) ; Škrabánek, Pavel (advisor)
The diploma thesis describes the design and implementation of a program for counting secondary scales in the image data of the ventral sides of the bodies of sand lizards. The program respects the requirements of scientists from the Institute of Vertebrate Biology of the Czech Academy of Sciences and the Faculty of Education at Masaryk University for the controllability and accuracy of results. The program consists of several parts. In input receives photos of sand lizards, in which he cuts out an area of interest. Unifies the orientation of these sections using detected objects. Object detection is provided by YOLOv4. Another part of the program called the Centroid Detector determines the position of the centers of the secondary scales in the unified sections. This part uses the U-Net convolutional neural network, which is specially modified to detect the centers of objects in close proximity. The other parts of the program divide the detected positions of the scale centers into left and right secondary rows and write their numbers to the output file.
Machine Vision Methods for Traffic Signs Recognition
Zátopek, Michal ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
This diploma thesis is dealing with an issue of machine vision in the field of traffic signs recognition. The first part is devoted to machine vision in general traffic situations. Together with traffic applications there is paid attention to a possible autonomous vehicle and applications for the traffic signs recognition. The main part of this work is devoted to a description and an implementation of several methods for colour and pattern localisation of traffic signs in the scene and to identification algorithms. Apart from the implementation itself, these algorithms are submitted to several experiments for a valorisation of their success. The thesis also includes a gallery of images with traffic signs including a file with descriptive annotation for an automatic testing of algorithms.
AeroWorks: Visual Identification of Aircraft Flight Regimes
Kardoš, Juraj ; Dittrich, Petr (referee) ; Chudý, Peter (advisor)
This Bachelor thesis deals with the visual identification of an aircraft flight's regimes. It describes the spatial motion of an airplane along with the visualization of flight parameters and also proposes a system for a flight regime visual identification. The system processes the input video on a frame by frame basis in two steps. Initially, the video is being stabilized and the system subsequently proceeds in identification of flight related quantities describing the current flight state. Video stabilization is based on feature points detection and an optical flow calculation. Video frames are transformed in order to achieve sufficient consecutive frames overlap and thus to minimize the parasitic oscillations of the video acquisition system. Identification of values indicated by flight instruments is based on the Hough line transform approach. The thesis also includes a description of an application that analyzes a video from the cockpit of an aircraft and is able to recognize the instrument values displayed on specified flight instruments.
Harris corner detector
Květný, Michal ; Martišek, Dalibor (referee) ; Procházková, Jana (advisor)
This bachelor’s thesis deals with application of Harris corner detector for finding corner points in images and models. This thesis also contains an implementation of the algorithms in Python programming language. Programs are tested on real images captured by camera and models created by 3D scanning.
Neural networks for visual classification and inspection of the industrial products
Míček, Vojtěch ; Jirsík, Václav (referee) ; Petyovský, Petr (advisor)
The aim of this master's thesis thesis is to enable evaluation of quality, or the type of product in industrial applications using artificial neural networks, especially in applications where the classical approach of machine vision is too complicated. The system thus designed is implemented onto a specific hardware platform and becomes a subject to the final optimalisation for the hardware platform for the best performance of the system.
Control integrated system for workpiece recognition
Vostřel, Tomáš ; Blaha, Petr (referee) ; Pivoňka, Petr (advisor)
The diploma thesis deals with the usage of integrated machine vision by B&R, Smart Sensor, for metal rectangular-shaped workpiece recognition and position determinition. The description of the usage of machine vision in the industry is made, the solution concept is created and the program and the user visualisation implemented. The main outcome of this work is the VITemplate library which can be used in combination with the model-based Blob analysis implemented in Smart Sensor to control the robotic arm to successfully grab all the workpieces on the belt.
CAPTCHA Recognition
Klika, Jan ; Samek, Jan (referee) ; Rozman, Jaroslav (advisor)
This thesis describes the design and implementation of an application for breaking the CAPTCHA. It also describes the history and evolution of CAPTCHA and the ways of its generating and possible techniques of its breaking. This thesis focuses on the new types of CAPTCHA, based on hard character segmentation. So the main target of this thesis is the design and implementation of the new segmentation method, allowing the recognition of modern CAPTCHAs, especially reCAPTCHA.
Robot vision with industrial robots Kuka
Krutílek, Jan ; Pochylý, Aleš (referee) ; Kubela, Tomáš (advisor)
Diploma thesis deals with a robot vision and its application to the problem of manipulation of coincidentally placed objects. There is mentioned an overview of current principles of the most frequently used vision systems on the market. With regard to the required task to be solved, there are mentioned various possibilities of using basic softsensors during the recognition of different objects. The objective of this Diploma thesis is also programming and realization of a demonstration application applying knowledge of PLC programming, knowledge of expert programming KRL language (for KUKA robots), knowledge of designing scripts for smart camera in Spectation software and knowledge of network communication among all devices used in this case.
Machine vision for robotic manufacturing systems
Honkyš, Pavel ; Bražina, Jakub (referee) ; Vetiška, Jan (advisor)
The Master's thesis deals with the use of a camera system in automated industrial applications and the use of TwinCAT Vision tools for image processing and control software PLC, which works on an industrial computer from BECKHOFF. The theoretical part deals with the algorithm of the camera system design for the industrial environment, the description of the individual components that create this camera system and the industrial buses used to transmit data from the cameras. The practical part contains the assignment, its analysis and design of a robotic workplace using a camera system to control products. The designed camera system is then assembled, programmed and verified for the functionality of the created algorithms and the designed HMI.
Visual fault detection in serial production of connectors for automotive industry
Kilian, Jaroslav ; Dobossy, Barnabás (referee) ; Brablc, Martin (advisor)
In this thesis, the methods of defect detection are described, focusing on visual detection, i.e. detection from photos. Its basic components and methods used for defect detection from photos are described. Two approaches are proposed on products from Mechatronic Design & Solutions, one using deep learning and the other based on exact methods. These approaches are then experimentally compared.

National Repository of Grey Literature : 88 records found   beginprevious31 - 40nextend  jump to record:
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