|
|
Generating code for processing the raw image on a graphics device
Pojsl, Jakub ; Bastl, Michal (referee) ; Appel, Martin (advisor)
This bachelor thesis explores generating CUDA code using Matlab GPU Coder, deploying code to Jetson Nano, and processing depth data from Intel RealSence depth camera with generated CUDA functions. The theoretical part introduces CUDA code, Intel RealSence D415, Jetson Nano, and Matlab GPU Coder. The practical part describes generating CUDA code from simple Matlab functions and generating executables using Matlab GPU Coder and CMake compiler. This is followed by the description of developing the application that gathers depth data from Intel RealSence depth camera, processes the data, and displays the processed data on the screen. Finally, the developed application is analyzed and CUDA code advantages in raw computation are demonstrated.
|
|
|
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.
|
|
|
Generating code for processing the raw image on a graphics device
Pojsl, Jakub ; Bastl, Michal (referee) ; Appel, Martin (advisor)
This bachelor thesis explores generating CUDA code using Matlab GPU Coder, deploying code to Jetson Nano, and processing depth data from Intel RealSence depth camera with generated CUDA functions. The theoretical part introduces CUDA code, Intel RealSence D415, Jetson Nano, and Matlab GPU Coder. The practical part describes generating CUDA code from simple Matlab functions and generating executables using Matlab GPU Coder and CMake compiler. This is followed by the description of developing the application that gathers depth data from Intel RealSence depth camera, processes the data, and displays the processed data on the screen. Finally, the developed application is analyzed and CUDA code advantages in raw computation are demonstrated.
|
|
|
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.
|
guest ::
