IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: AMAZON GO JUST WALKOUT TECHNOLOGY
Authors Name: Mr.Prakash Hongal , Mr.Shrikant Jogar , Ms.Tejashwini Patil
Download E-Certificate: Download
Author Reg. ID:
IJNRD_218488
Published Paper Id: IJNRD2404401
Published In: Volume 9 Issue 4, April-2024
DOI:
Abstract: Amazon Go's "Just Walk Out" technology revolutionizes the retail experience by eliminating traditional checkout lines and offering a seamless shopping experience. Leveraging a combination of computer vision, sensor fusion, and deep learning algorithms, this innovative system tracks items as customers pick them up and automatically charges their Amazon account upon exiting the store. The technology enhances convenience, reduces friction in the shopping process, and exemplifies the future of retail automation. By combining sophisticated computer vision, sensor fusion, and machine learning algorithms, this system enables customers to enter a store, select items, and simply walk out without the need for traditional checkout processes. As customers navigate the store, sensors and cameras track their movements and interactions with products, accurately detecting items taken or returned to shelves. This data is seamlessly processed to generate a virtual cart for each customer, ensuring accurate billing through their Amazon account upon exiting the store. The technology not only streamlines the shopping experience by eliminating checkout queues but also minimizes human error and theft concerns. Amazon Go's "Just Walk Out" technology represents a paradigm shift in retail, setting new standards for convenience, efficiency, and customer satisfaction.
Keywords:
Cite Article: "AMAZON GO JUST WALKOUT TECHNOLOGY", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.e1-e4, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404401.pdf
Downloads: 00029
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2404401
Registration ID: 218488
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: e1-e4
Country: Sidnal, KARNATAKA, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404401
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404401
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD