design and implementation of smart vision system for detection of pedestrian on jetson nano devlopment board
| dc.contributor.author | Horma, Taher | |
| dc.contributor.author | Zemmit, mustapha | |
| dc.contributor.author | Kious, Mecheri | |
| dc.date.accessioned | 2024-03-11T11:13:10Z | |
| dc.date.available | 2024-03-11T11:13:10Z | |
| dc.date.issued | 2020 | |
| dc.description | OPTION: Embedded Systems | |
| dc.description.abstract | Pedestrian detection is one of the important fields of object detection and computer vision. It is being applied in a wide range of applications such as video surveillance, automated driving, etc. In this work we show how to create a real-time multiple object detection such as pedestrians and recognition application in Python on the Jetson Nano developer kit using a camera and deep learning models and libraries that Nvidia provides. | |
| dc.identifier.uri | https://dspace.lagh-univ.dz/handle/123456789/10407 | |
| dc.language.iso | en | |
| dc.publisher | Université Amar Telidji- Laghouat FACULTE : TECHNOLOGIE DEPARTEMENT : Département d’Electronique | |
| dc.title | design and implementation of smart vision system for detection of pedestrian on jetson nano devlopment board | |
| dc.type | Thesis |
