Bioscience Biotechnology Research Communications

An International  Peer Reviewed Refereed Open Access Journal

P-ISSN: 0974-6455 E-ISSN: 2321-4007

Bioscience Biotechnology Research Communications

An Open Access International Journal

Lakshmi Narayanan1, Dhanya Sudhakaran2, Subhika Grandhe3, Namra Iqbal4 and Jimcymol James*5

1,2,3,4Manipal Academy of Higher Education, Dubai Campus, Dubai, U.A.E.

5Manipal Academy of Higher Education, Dubai Campus, Dubai, U.A.E.

Corresponding author email: jimcymol.james@manipaldubai.com

Article Publishing History

Received: 11/10/2020

Accepted After Revision: 29/12/2020

ABSTRACT:

Shopping malls and supermarkets are equipped with shopping trolleys to ease the shopping activity. Various literature and models are existing for a smart shopping cart. However, there is no solution or research made to address the problem of abandoned trolleys. The main motive of the paper is on tackling the abandoned trolley problem as the environmental concerns and accidents caused to pedestrians and road users need attention just as much as implementing artificial intelligence and internet of things (IoT) principles to deliver intelligent carts and smart shopping experience. A smart cart system is proposed that uses the models of smart cart devices to address the missing trolley problem using deep learning.

KEYWORDS:

Abandoned Trolley, Missing Trolley Problem, Q-Learning, Smart Cart Solution, Smart Shopping Cart, Yolo.

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