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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM41357

Smart Shopping Cart

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM41357

Volume:

9 |

2 |

Feb 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM41357

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

SHR

Seema H R

MS

Manish Singh

AS

Achal S

JGMM

Jagath Gowda M M

DK

Dada Khalandar

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Abstract

The retail industry is rapidly evolving with automation and AI enhancing the in-store experience. Traditional barcode or RFID-based checkouts cause delays and inefficiencies. This paper introduces a Smart Shopping Cart using deep learning for real-time object detection via a YOLO model on a Raspberry Pi. Items are recognized and billed automatically, removing the need for manual scanning. Weight sensors refine recognition of unpackaged goods, while face-tracking enables autonomous cart following. The system ensures accurate billing, smooth navigation, and supports fresh produce handling. It reduces human intervention and operational costs. This scalable solution advances smart, contactless retail automation.

KEYWORDS

Smart Shopping Cart billing system Computer vision Deep learning Automation

Cite This Article

Seema H R, Manish Singh, Achal S, Jagath Gowda M M, Dada Khalandar, "Smart Shopping Cart," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 2, Feb 2025. https://doi.org/10.55041/IJSREM41357

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Publication Date

9/5/2025

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

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

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