JOURNAL ARTICLE
Streamlined Shopping Experience with Futuristic Automated Billing - SmartPay.
Published In: Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 1, Part 2. P. 1855 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: Y. M., Santhosh; B. H., Hemamalini; Adil, Syed; S. B., Yogesh; M., Rakshith 3 of 3
Abstract
Amazon Go is a new grocery store concept that eliminates the need for checkout lines and cashiers by using a combination of computer vision, sensors, and deep learning algorithms to automatically track what customers take off the shelves. With Amazon Go, customers can quickly enter the store, grab what they need, and leave without ever needing to wait in line or deal with a cashier. Amazon Go utilises advanced technologies such as computer vision, deep learning algorithms, and sensor fusion to create a unique shopping experience. Customers are able to enter the store and shop without having to wait in lines or interact with other customers, creating a streamlined and efficient shopping experience. Additionally, Amazon Go utilises artificial intelligence to track customer movement and automatically charges customers for items they take out of the store, which eliminates the need for traditional checkouts. This paper discusses the technological innovations behind Amazon Go and how they can be improved in the current scenario. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Grenze International Journal of Engineering & Technology (GIJET). 2024/01, Vol. 10, Issue 1, Part 2, p1855
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2024
- ISSN:23955287
- Accession Number:175658327
- Copyright Statement:Copyright of Grenze International Journal of Engineering & Technology (GIJET) is the property of GRENZE Scientific Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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