design and implementation of smart vision system for detection of pedestrian on jetson nano devlopment board

dc.contributor.authorHorma, Taher
dc.contributor.authorZemmit, mustapha
dc.contributor.authorKious, Mecheri
dc.date.accessioned2024-03-11T11:13:10Z
dc.date.available2024-03-11T11:13:10Z
dc.date.issued2020
dc.descriptionOPTION: Embedded Systems
dc.description.abstractPedestrian 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.urihttps://dspace.lagh-univ.dz/handle/123456789/10407
dc.language.isoen
dc.publisherUniversité Amar Telidji- Laghouat FACULTE : TECHNOLOGIE DEPARTEMENT : Département d’Electronique
dc.titledesign and implementation of smart vision system for detection of pedestrian on jetson nano devlopment board
dc.typeThesis

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