|
|
Automated object tracking using robotic manipulator
Zelený, Miroslav ; Ligocki, Adam (referee) ; Chromý, Adam (advisor)
This diploma thesis deals with the tracking of objects using a robotic manipulator Epson C3 and a color camera. The work describes the basic qualities of the device to be used. The OpenCV library and its wrapper EmguCV are used as software tools for computer vision. It discusses the basic issues and principles of tracking objects in the image and introduces some methods of tracking. These methods have been tested and therefore their strengths and weaknesses, which appeared during testing, are listed here. Furthermore, there is a procedure for calculating the new coordinates of the camera and the manipulator effector using homogeneous transformations. The work contains the results of testing the algorithms and their evaluation. The output of the work is a test application for the Epson C3 robot.
|
|
|
Object recognition based autonomous control of an unmanned aerial vehicle
Klouda, Jan ; Marcoň, Petr (referee) ; Janoušek, Jiří (advisor)
This thesis deals with the control of an autonomous drone based on image recognition. The goal is to create a program in the Python programming language that determines the position of an object in the field of view of the camera. The autonomous drone then performs a predefined operation. The work is divided into theoretical and practical part. The theoretical part describes the methods of image processing and evaluation of objects, the resulting methods of communication between the control station and the drone. The practical part describes the implementation of autonomous control of the aircraft based on the detection of objects in the image. The last part deals with the evaluation of successful detection objects and the control accuracy of the created solution.
|
|
|
Fake Face Detection in the Digital Images
Lapšanský, Tomáš ; Goldmann, Tomáš (referee) ; Orság, Filip (advisor)
V posledných rokoch môžeme pozorovať nárast a rýchly rozvoj neurónových sietí a umelej inteligencie v informačných technológiách, medzi ktoré patria aj deepfake fotografie a videá. Generatívne adverzné neurónové siete (GAN) sú toho jasným príkladom. V súčasnosti dokážu dosiahnuť výsledky, ktoré bežný človek nedokáže rozoznať od reality. Keďže tieto siete sa preto dajú zneužiť na rôzne účely, je potrebné vedieť rozlíšiť, čo je vygenerované a čo je skutočné. Táto práca skúma súčasné najmodernejšie riešenia neurónových sietí, ktoré môžu slúžiť ako vhodné modely na detekciu deepfake. Skúmame jednotlivé architektúry, ktoré sú vhodné ako základný model na detekciu, zaoberáme sa možnými vylepšeniami tohto modelu a vyvíjame niekoľko nových architektúr. Tie potom skúmame a vyhodnocujeme ich výsledky. V závere uvádzame diskusiu o výsledkoch a otvárame ďalšie otázky týkajúce sa tejto zložitej problematiky.
|
|
|
Object recognition based autonomous control of an unmanned aerial vehicle
Klouda, Jan ; Marcoň, Petr (referee) ; Janoušek, Jiří (advisor)
This thesis deals with the control of an autonomous drone based on image recognition. The goal is to create a program in the Python programming language that determines the position of an object in the field of view of the camera. The autonomous drone then performs a predefined operation. The work is divided into theoretical and practical part. The theoretical part describes the methods of image processing and evaluation of objects, the resulting methods of communication between the control station and the drone. The practical part describes the implementation of autonomous control of the aircraft based on the detection of objects in the image. The last part deals with the evaluation of successful detection objects and the control accuracy of the created solution.
|
|
|
Automated object tracking using robotic manipulator
Zelený, Miroslav ; Ligocki, Adam (referee) ; Chromý, Adam (advisor)
This diploma thesis deals with the tracking of objects using a robotic manipulator Epson C3 and a color camera. The work describes the basic qualities of the device to be used. The OpenCV library and its wrapper EmguCV are used as software tools for computer vision. It discusses the basic issues and principles of tracking objects in the image and introduces some methods of tracking. These methods have been tested and therefore their strengths and weaknesses, which appeared during testing, are listed here. Furthermore, there is a procedure for calculating the new coordinates of the camera and the manipulator effector using homogeneous transformations. The work contains the results of testing the algorithms and their evaluation. The output of the work is a test application for the Epson C3 robot.
|
guest ::
