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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM36892

AUTOBILL – AN AI POWERED INSTANT CHECKOUT SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM36892

Volume:

8 |

7 |

Jul 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM36892

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DR

Deekshana R

KAS

Karen Angelina S

SS

Sneha S

DM

Dr.M. Malleswari

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Abstract

In today’s world, time is one of the most important things, an individual area unit refers to those things that consume time. Billings at stores takes a lot of time. Looking at future technology, we tend to come out with an associate new plan of “Autobill-an Ai powered instant checkout system”. The project aims to completely transform the shopping experience. By utilizing state-of-the-art computer vision and artificial intelligence technology, AutoBill provides both customers and shops with a smooth and effective purchasing experience. Customers are frequently frustrated and delayed by the lengthy lines and manual item scanning associated with traditional checkout procedures in retail establishments. These problems are solved by AutoBill since customers can pick up the things they want and leave the business without having to stop at the register. As customers travel through the store, the system uses sophisticated computer vision algorithms to precisely recognize and track things. Every item is instantly and automatically recognized and put into the customer’s virtual cart.

KEYWORDS

AI-powered automatic billing

Cite This Article

Deekshana R, Karen Angelina S, Sneha S, Dr.M. Malleswari, "AUTOBILL – AN AI POWERED INSTANT CHECKOUT SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 7, Jul 2024. https://doi.org/10.55041/IJSREM36892

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Publication Date

7/30/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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