Performance Evaluation of OpenCV-based Applications on the Xilinx ZedBoard
| dc.contributor.author | Zidelmal, Cherif | |
| dc.contributor.author | Dahoumane, Brahim | |
| dc.contributor.author | Maache, Ahmed (Supervisor) | |
| dc.date.accessioned | 2022-02-09T07:46:05Z | |
| dc.date.available | 2022-02-09T07:46:05Z | |
| dc.date.issued | 2018 | |
| dc.description | 51 p. | en_US |
| dc.description.abstract | This project report presents the performance evaluation of executing a number of OpenCV (Open Computer Vision) algorithms on the Xilinx ZedBoard. The latter contains Zynq-7000 FPGA, a System on a Chip (SoC) from Xilinx, which integrates dual-core ARM Cortex A9. The main goal of the project is to compare the execution times of a number of OpenCV-based image processing applications on the ZedBoard running a Linux kernel with the execution times of the same applications on a Personal Computer running Linux operating system. The OpenCV library was selected for evaluation in this context due to its popularity in computer-vision based embedded systems and its availability for | en_US |
| dc.description.sponsorship | Université M'Hamed Bougara Boummerdes : Institut genie électrique et électronique | en_US |
| dc.identifier.uri | https://dspace.univ-boumerdes.dz/handle/123456789/7599 | |
| dc.language.iso | en | en_US |
| dc.subject | Coputer vision | en_US |
| dc.subject | Implemented alghorithms | en_US |
| dc.title | Performance Evaluation of OpenCV-based Applications on the Xilinx ZedBoard | en_US |
| dc.type | Thesis | en_US |