Open AccessA Literature Review on Billing System using Machine Learning
Author(s) -
Nitish Lokesh,
Pawan Kumar
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41199
Subject(s) - computer science , boom , process (computing) , artificial intelligence , product (mathematics) , object (grammar) , variable (mathematics) , cognitive neuroscience of visual object recognition , machine vision , machine learning , engineering , operating system , mathematical analysis , geometry , mathematics , environmental engineering
The process of billing a product in a retail outlet is done using the system of pre-made barcodes or RFIDs. This is done to keep a track of the items and identify them in the billing process, but it is time-consuming and labour-intensive as all items need to be affixed with barcodes before being used. Most of the small to medium scale retail stores also have a large part of their sales with items of a variable quantity, which cannot be affixed with barcodes as their quantity is determined dynamically and according to the customer’s needs. In this paper, we have explored various technologies including but not limited to computer vision, object detection and image recognition, especially due to its latest boom with machine learning and deep learning. We have briefed our findings on technologies that can be used to build efficient and novel systems to solve the issues that arise with using systems that are labour intensive, redundant, time-consuming and explore ways to incorporate items that can be packed with variable quantities. Keywords: Machine Learning, Deep Learning, Object Detection, Billing System, Computer vision, Image recognition