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A Survey on Interactive Clothing Based on IoT using QR code and Mobile Application

Prasad Mutkule1 , Malakappa Ankoshe2

Section:Survey Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 652-654, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.652654

Online published on Jun 30, 2018

Copyright © Prasad Mutkule, Malakappa Ankoshe . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Prasad Mutkule, Malakappa Ankoshe, “A Survey on Interactive Clothing Based on IoT using QR code and Mobile Application,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.652-654, 2018.

MLA Style Citation: Prasad Mutkule, Malakappa Ankoshe "A Survey on Interactive Clothing Based on IoT using QR code and Mobile Application." International Journal of Computer Sciences and Engineering 6.6 (2018): 652-654.

APA Style Citation: Prasad Mutkule, Malakappa Ankoshe, (2018). A Survey on Interactive Clothing Based on IoT using QR code and Mobile Application. International Journal of Computer Sciences and Engineering, 6(6), 652-654.

BibTex Style Citation:
@article{Mutkule_2018,
author = {Prasad Mutkule, Malakappa Ankoshe},
title = {A Survey on Interactive Clothing Based on IoT using QR code and Mobile Application},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {652-654},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2235},
doi = {https://doi.org/10.26438/ijcse/v6i6.652654}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.652654}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2235
TI - A Survey on Interactive Clothing Based on IoT using QR code and Mobile Application
T2 - International Journal of Computer Sciences and Engineering
AU - Prasad Mutkule, Malakappa Ankoshe
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 652-654
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

The invention of Internet has made the day-to-day life easy and less complicated. The proposed system is called Interactive clothes that make use of QR code and IoT. A QR code is embedded within the clothes that consist of a unique Id. A mobile application is developed that scans the QR code present in the cloth and gets linked to a database stored in a cloud database. It provides a digital environment for both the manufacturers and the end users. From manufacturing perspective, the system has the ability to identify fake brands, keep track of the loyal customers, and minimize the resources waste and keeping track of the goods using a single relational database system. For end users, the benefits are huge. The mobile application(Personal Stylist) provides a simple user interface where users could get suggestions regarding their clothes with other outfits, dressing according to the season and deciding whether the color suits their skin tone or not.

Key-Words / Index Term

Cloud database, IoT, Mobile application, QRcode, Relational database system

References

[1] Xiao-song Hu, Li-ling Jiang , Rui Cheng , Tie-jun Wang , Qing Li, “A probabilistic clothes recommender based on cloth features”, School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China, August 2014.
[2] Poorva Parkhi, Snehal Thakur, Sonakshi Chauhan, “RFID based parking management system”, Department of Computer Engineering, Sinhgad Academy of Engineering, Pune, India, February 2014.
[3] Jia Ning Luo, Ming-Hour Yang , Ming Chein Yang, “An anonymous car rental system based on NFC”.
[4] Weibing Chen, Gaobo Yang, and Ganglin Zhang, “A Simple and Efficient Image Pre-processing for QR Decoder” Dept.of Electrics Communication Engineering, Changsha University, Changsha Hunan.
[5] Teuta Cata, Payal S. Patel and Toru Sakaguchi “QR Code: A New Opportunity for Effective Mobile Marketing” Northern Kentucky University, Highland Heights, KY 41099, USA.
[6] Lefayet, Sultan, Lipol “Quick Response in the Textile Industries” International Journal of Scientific and Research Publications, Volume 5.
[7] Deepthi, Pradyumna G.R “Comparison of MD5 and Blowfish Algorithm” NMAM Institute of Technology, Nitte, Udupi, Karnataka, India.