Work

Revolutionizing Traditional Supermarkets: A Comprehensive Solution for Enhancing Efficiency, Security and Customer Satisfaction

Year: 2024

Type: conference-paper

Abstract: This research proposes an Artificially Intelligent enabled Smart Supermarket System for enhanced efficiency, security and reduces man power as compared to traditional Supermarkets. In order to ensure a perfect omnichannel shopping experience the system uniquely includes an Artificially Intelligent model. Customers can scan items on the go with the app in their smartphones, select product variants as required, add the product to their virtual cart and pay online for the total cart value. With the help of YOLOv5 computer vision algorithm, eliminating long checkout queues and manpower the system proves to be revolutionizing the traditional supermarket procedures. Moreover, the system also incorporates the indoor navigation assistance on customer's app to facilitate easy access and navigation to preferred items. This futuristic solution not only provides valuable insights for business development but also is proven to be more efficient and helpful for customers saving their time and companies resources.

DOI: 10.1145/3675888.3676096

Authors: Om Hiren Tanna, Ankur Mehul Vasani, Krishna Hitendra Thakkar, Malav Jayesh Gotecha

Institutions: Shri Bhagubhai Mafatlal Polytechnic and College of Engineering, Dwarkadas J. Sanghvi College of Engineering

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

OpenAlex ID: W4403882728

FWCI:

Cites: 7

Cited by:

Related to: 10