design and implementation of smart vision system for detection of pedestrian on jetson nano devlopment board
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Université Amar Telidji- Laghouat FACULTE : TECHNOLOGIE DEPARTEMENT : Département d’Electronique
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.
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OPTION: Embedded Systems
