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Robot vision with industrial robots Kuka
Krajcar, Milan ; Pochylý, Aleš (referee) ; Kubela, Tomáš (advisor)
Master’s thesis is describing main terms in machine vision. It defines the basic working principles, its advantages and disadvantages. It is dividing machine vision systems into several classes. The thesis is solving design of an end effector, of an inspection process and program for smart camera Siemens SIMATIC VS722A, of a program for KUKA KR3 and of mutual communication. At the end the demonstrational application verifying the functionality of entire system is introduced.
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Object inspection sensor
Neradilková, Aneta ; Odstrčilík, Jan (referee) ; Sekora, Jiří (advisor)
Object inspection sensor is a device that is mainly used in the automation of the production process. The Diploma Thesis deals with the familiarization of optical inspection systems, survey and comparison of companies of these systems in the Czech Republic. ELLA-CS company and dafault state output control products in her workplace is presented in the Diploma Thesis. The next part concerns the design of the inspection system for the company ELLA-CS, which is designed on the platform Raspberry. The thesis also deals with the implementation of the inspection system, which describes the hardware and software of this system. The last part is intended to discuss the results and suggestions for improving the inspection.
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Using machine vision for robot guidance
Gábik, Jaroslav ; Štěpánek, Vojtěch (referee) ; Vetiška, Jan (advisor)
With the development of machine vision technologies, new applications that can increase production, versatility or simplicity of production systems are widely spread. This thesis deals with usage of machine vision for robot guidance. The task consists of creating a technique and its practical realization, where the proposed assumptions are verified. The main objective is to determine 3D position and orientation of a sheet metal part or subassembly of the body-in-white, which is lying within the reach of an industrial robot with respect to its base coordinate system. The proposed method is suitable for several types and dimensions of components, which meet certain requirements. Targeting the component is carried out by scanning significant points on the component with the help of the 3D scanner attached to the robot flange. Afterwards, gained data are processed in a designed programme. The theoretical part is focused on research in the field of machine vision, accuracy of industrial robots, compensation of their errors and manipulation and assembly of the sheet metal parts in automotive. Finally, an evaluation and recommendations for practice are provided.
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Neural Network Based Face Localization
Hendrych, Pavel ; Šiler, Ondřej (referee) ; Švub, Miroslav (advisor)
This thesis issues with possible methods for face detection and localization according to the state of the art. It describes various approaches and it is aimed at localization by neural networks and at necessary operations that have to be done before localization and after that for correct results representation. This project contains implementation of few approaches to neural netwok based face localization with emphasis on eigenfaces based face localization as well as implementation of simple classifier using distance of reconstructed face to the original one. Detailed description of implemented system, achieved results and dependecy of system performance on it's inner settings is also provided.
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Design and implementation of control software libraries for fiber characterization
Podivín, Ladislav ; Hästbacka, David (referee) ; Kallio, Pasi (referee) ; Honzík, Petr (advisor)
Tato práce se zabývá návrhem a implementací dvou konkrétních softwarových modulů, které jsou částí distribuovaného řídícího systému CoSMic. Tento systém je určen pro řízení speciálního zařízení pro charakterizaci papírových vláken. Prvním vyvinutým modulem je HapticFiber, ten má poskytovat rozhraní mezi řídícím systémem a speciálním vstupním zařízením - haptic device. Druhým modulem je ViCo, jehož účelem je poskytnout softwarovou obálku pro uživatelem definovaný algoritmus zpracovaní obrazu. Tento modul musí být připraven splnit určitá časová omezení, proto je nutné, aby běžel v rámci operačním systému reálného času.
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Automation and Quality
Hebler, Violeta ; Toul, Jiří (referee) ; Fiala, Alois (advisor)
The topic of this bachelor thesis is quality control in the production process and means of improving the quality of products. It contains a description of methods of inspecting the production process, and the benefits of measurement automation and its practical use in the production process. The work also discusses the fundamentals and potential of machine vision use in various production areas and during the quality control process, starting with the receipt of material and ending with the shipment of finalized products.
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VC5 and Vision Designer platform visual system
Popovský, Pavel ; Janáková, Ilona (referee) ; Honec, Peter (advisor)
For the purpose of an future machine vision system development in Tyco Electronics Czech s.r.o. I have developed Cognex Designer template. Template will serve as a flexible basis for further development of camera applications on the Cognex VC5 industrial computer. The functionality of the program template has been successfully verified by modifying it to a particular application of the laboratory manual station used to measure the parameters of the manufactured connectors. A camera with lens and lightning was chosen and installed on the station. DIO communication was put into operation between VC5 and PLC system. The application has been calibrated and verified as a measurement system using MSA Type I and Capability study standard methods.
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Object Detection in Images
Vaľko, Tomáš ; Motlíček, Petr (referee) ; Švub, Miroslav (advisor)
Object detection in images is quite popular topic for years. What stands for it are a lot of works from this area of computer science. This thesis is about object classification, specifically human faces, which are one of the most interesting objects for processing. For classification we use neural networks, learned on face database. We study what influence has size of face database and preprocessing of digital image on neural network learning. This project implements simple face detector and localizator. It summarizes more and less successful results and indicates possible ways of system development in the future.
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Software Design of Single Purpose Machine for Visual Inspection
Horák, Daniel ; Krejsa, Jiří (referee) ; Štarha, Pavel (advisor)
This master’s thesis deals with the fundamentals of machine vision application and its practical implementation. The research part is focused on the basic possibilities of image acquisition and image processing in different dimensions. The practical part describes the design of the dimension control algorithm using a 3D camera. This algorithm is then implemented in a single-purpose machine for optical dimension control.
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