Paper Title

REAL TIME OBJECT DETECTION AND RECOGNISATION BY USING JETSON NANO

Authors

Sreeharsha

Keywords

Abstract

Object detection is the technique of determining the presence of an object and estimating its location in the image canvas. Object recognition classifies the detected object from the list of previously seen (trained on) objects. In an image with multiple objects, it is a challenging task to determine the location of all the individual objects (detection) and then recognize them, due to several reasons: There can be a possible overlap between multiple objects causing occlusions for one or all. Objects in the image can have varying orientations. The objects could only be partially present in the image. Images from low fps video stream can be blurry and distort the features of the object. Jetson Nano is a GPU-enabled edge computing platform for AI and deep learning applications. The GPU-powered platform is capable of training models and deploying online learning models but is most suited for deploying pre-trained AI models for real-time high-performance inference. In this project it is showing how you can create a real-time multiple object detection and recognition application in Python on the Jetson Nano developer kit using the camera and deep learning models and libraries

How To Cite

"REAL TIME OBJECT DETECTION AND RECOGNISATION BY USING JETSON NANO", JNRID - JOURNAL OF NOVEL RESEARCH AND INNOVATIVE DEVELOPMENT (www.JNRID.org), ISSN:2984-8687, Vol.2, Issue 5, page no.a401-a449, May-2024, Available :https://tijer.org/JNRID/papers/JNRIDTHE2005.pdf

Issue

Volume 2 Issue 5, May-2024

Pages : a401-a449

Other Publication Details

Paper Reg. ID: JNRID_700318

Published Paper Id: JNRIDTHE2005

Downloads: 000474

Research Area: Science and Technology

Country: Hyderabad, Telangana, India

Published Paper PDF: https://tijer.org/JNRID/papers/JNRIDTHE2005

Published Paper URL: https://tijer.org/JNRID/viewpaperforall?paper=JNRIDTHE2005

About Publisher

ISSN: 2984-8687 | IMPACT FACTOR: 9.57 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: JNRID (IJ Publication) Janvi Wave

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