National Repository of Grey Literature 9 records found  Search took 0.01 seconds. 
Depth map visualization using the Kinect sensor
Gajdoš, Adam ; Najman, Jan (referee) ; Appel, Martin (advisor)
The theoretical part of bachelor thesis is focused on possibilities of use the depth device Microsoft Kinect in various spheres and branches of industry. The practical part deals with the processing of data from Kinect depth sensor, programming and creating visualizations in the Matlab programming environment for use in the field of education.
3D Educational Application Using the Depth Sensors
Zubrik, Tomáš ; Beran, Vítězslav (referee) ; Veľas, Martin (advisor)
This work deals with the creation of an interactive learning system that uses depth sensor and projector to render an interactive topographic map on the top of the sand surface. Our solution is based on the existing application AR Sandbox. Aditionally to the visualization elevation, the application allows the user to model the terrain model interactivelly, while guiding him by color distinguishment to create model correctly. We have developed an extension that allows the user to choose any part of the Earth's surface to create its model. The solution utilizes the full potential of the original application and offers the user an engaging experience in modeling the landforms or river basins. The result of this work is an operational system, which is helpful for gaining the knowledge in the field of topography and hydrology. User testing was evaluated using a UEQ questionnaire and has proven the usability, while achieving average score of 1.2, which is rated above-average on the UEQ scale.
Virtual Gate for Counting the Passing of Persons
Chudý, Andrej Oliver ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
The goal of this thesis is to propose a viable technique of detecting people passing through a virtual line (any opening without a turnstile or other form of the physical obstacle). Two software solutions were implemented to achieve high accuracy. First one processes 2D data output from webcam and the other one processes depth data from the 3D imaging sensor. Both software solutions were deployed and tested in a pharmaceutical storage room, where they achieved the accuracy of 98%. The software proposed in this thesis is thus reliable enough to become the basis of access control and security systems or for real-time evaluation of visitor rate statistics of commercial properties and events. The thesis also contains a comparative analysis of 3 widely used depth sensors.
Depth-Based User Interface
Kubica, Peter ; Beran, Vítězslav (referee) ; Žák, Pavel (advisor)
Conventional user interfaces are not always the most appropriate option of application controlling. The objective of this work is to study the issue of Kinect sensor data processing and to analyze the possibilities of application controlling through depth sensors. And consequently, using obtained knowledge, to design a user interface for working with multimedia content, which uses Kinect sensor for interaction with the user.
Unconventional Methods for Interacting with a Robotics Workplace
Dvořák, Jakub ; Beran, Vítězslav (referee) ; Materna, Zdeněk (advisor)
The bachelor thesis focuses on non-traditional methods of interaction with a robotic workplace, with an emphasis on camera tracking of the user, control of the workplace using camera outputs and human-robot interaction. The main focus of the work is the integration of Azure Kinect, a human detection device, into the ARCOR2 robot programming system. This thesis presents an extension to ARCOR2 that uses Azure Kinect to obtain information about the users' location and motion, which is then used to control the workplace using gestures, and explores the possibilities of interacting with the robot workplace. This extension enables easier and more natural human-workplace interaction, contributing to more effective use of robots in industry and research. The result of this work is a functional system for tracking the user with a camera, including the possibility of using this information to program the robotic workstation. The result of the work further increases the efficiency of human-robot interactions and opens the door for further innovations in robot programming using the ARCOR2 system.
3D Educational Application Using the Depth Sensors
Zubrik, Tomáš ; Beran, Vítězslav (referee) ; Veľas, Martin (advisor)
This work deals with the creation of an interactive learning system that uses depth sensor and projector to render an interactive topographic map on the top of the sand surface. Our solution is based on the existing application AR Sandbox. Aditionally to the visualization elevation, the application allows the user to model the terrain model interactivelly, while guiding him by color distinguishment to create model correctly. We have developed an extension that allows the user to choose any part of the Earth's surface to create its model. The solution utilizes the full potential of the original application and offers the user an engaging experience in modeling the landforms or river basins. The result of this work is an operational system, which is helpful for gaining the knowledge in the field of topography and hydrology. User testing was evaluated using a UEQ questionnaire and has proven the usability, while achieving average score of 1.2, which is rated above-average on the UEQ scale.
Depth map visualization using the Kinect sensor
Gajdoš, Adam ; Najman, Jan (referee) ; Appel, Martin (advisor)
The theoretical part of bachelor thesis is focused on possibilities of use the depth device Microsoft Kinect in various spheres and branches of industry. The practical part deals with the processing of data from Kinect depth sensor, programming and creating visualizations in the Matlab programming environment for use in the field of education.
Virtual Gate for Counting the Passing of Persons
Chudý, Andrej Oliver ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
The goal of this thesis is to propose a viable technique of detecting people passing through a virtual line (any opening without a turnstile or other form of the physical obstacle). Two software solutions were implemented to achieve high accuracy. First one processes 2D data output from webcam and the other one processes depth data from the 3D imaging sensor. Both software solutions were deployed and tested in a pharmaceutical storage room, where they achieved the accuracy of 98%. The software proposed in this thesis is thus reliable enough to become the basis of access control and security systems or for real-time evaluation of visitor rate statistics of commercial properties and events. The thesis also contains a comparative analysis of 3 widely used depth sensors.
Depth-Based User Interface
Kubica, Peter ; Beran, Vítězslav (referee) ; Žák, Pavel (advisor)
Conventional user interfaces are not always the most appropriate option of application controlling. The objective of this work is to study the issue of Kinect sensor data processing and to analyze the possibilities of application controlling through depth sensors. And consequently, using obtained knowledge, to design a user interface for working with multimedia content, which uses Kinect sensor for interaction with the user.

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