Cite this DOI
10.46243/jst.2021.v6.i04.pp399-405 · SMART SHOPPING APPLICATION USING ANDROID STUDIO AND UNITY
APA (7th edition)
Gautam, S., Gawali, P., & Gulati, A. (2021). SMART SHOPPING APPLICATION USING ANDROID STUDIO AND UNITY. *Journal of Science & Technology*, *06*(01), 399–405. https://doi.org/10.46243/jst.2021.v6.i04.pp399-405
⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.
BibTeX
@article{gautam2021smart,
author = {Gautam, Sanjeev and Gawali, Piyush and Gulati, Anish},
title = {{SMART SHOPPING APPLICATION USING ANDROID STUDIO AND UNITY}},
journal = {Journal of Science \& Technology},
year = {2021},
month = {aug},
volume = {06},
number = {01},
pages = {399--405},
publisher = {Longman Publishers},
issn = {2456-5660},
doi = {10.46243/jst.2021.v6.i04.pp399-405},
url = {https://doi.org/10.46243/jst.2021.v6.i04.pp399-405},
language = {en},
abstract = {In past few decades, an incremental growth in queues has been witnessed all around the world in shopping marts at the time of checkout. There has been an incremental research in order to bring down the average human time spent while checking out using various Machine learning and Artificial Intelligence techniques. This paper elaborates the use of barcode scanning through a mobile application and the use of indoor navigation so as to quickly locate products and also a potential data analysis scheme for shop owners so as to analyse their customers buying trends. The methods employed involves scanning the barcode of a product through app and adding product in your cart and paying through a designated payment gateway. In this paper, we propose a mobile application for scanning barcodes present on products. By using mobile camera and integrating it with a mobile application and using it as a barcode scanner, we are able to detect the product details thereby giving an option to user to add the product in cart and head to payment gateway.}
}RIS (EndNote, Zotero, Mendeley)
TY - JOUR TI - SMART SHOPPING APPLICATION USING ANDROID STUDIO AND UNITY AU - Gautam, Sanjeev AU - Gawali, Piyush AU - Gulati, Anish JO - Journal of Science & Technology PY - 2021 DA - 2021/08/16/ VL - 06 IS - 01 SP - 399 EP - 405 PB - Longman Publishers SN - 2456-5660 LA - en AB - In past few decades, an incremental growth in queues has been witnessed all around the world in shopping marts at the time of checkout. There has been an incremental research in order to bring down the average human time spent while checking out using various Machine learning and Artificial Intelligence techniques. This paper elaborates the use of barcode scanning through a mobile application and the use of indoor navigation so as to quickly locate products and also a potential data analysis scheme for shop owners so as to analyse their customers buying trends. The methods employed involves scanning the barcode of a product through app and adding product in your cart and paying through a designated payment gateway. In this paper, we propose a mobile application for scanning barcodes present on products. By using mobile camera and integrating it with a mobile application and using it as a barcode scanner, we are able to detect the product details thereby giving an option to user to add the product in cart and head to payment gateway. DO - 10.46243/jst.2021.v6.i04.pp399-405 UR - https://doi.org/10.46243/jst.2021.v6.i04.pp399-405 ER -
CSL-JSON
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} ⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.
From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i04.pp399-405 gives all four in one JSON answer.
