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Interactive Clothing based on IoT using QR code and Mobile Application

Mutkule Prasad R.1

Section:Research Paper, Product Type: Journal
Vol.6 , Issue.6 , pp.1-4, Dec-2018

Online published on Dec 31, 2018


Copyright © Mutkule Prasad R. . 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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Citation :
IEEE Style Citation: Mutkule Prasad R., “Interactive Clothing based on IoT using QR code and Mobile Application”, International Journal of Scientific Research in Network Security and Communication, Vol.6, Issue.6, pp.1-4, 2018.

MLA Style Citation: Mutkule Prasad R. "Interactive Clothing based on IoT using QR code and Mobile Application." International Journal of Scientific Research in Network Security and Communication 6.6 (2018): 1-4.

APA Style Citation: Mutkule Prasad R., (2018). Interactive Clothing based on IoT using QR code and Mobile Application. International Journal of Scientific Research in Network Security and Communication, 6(6), 1-4.

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Abstract :
The proposed system is named as Interactive clothes that influence utilization of QR to code and IoT. A QR code is inserted inside the clothes that comprises of a one of a kind ID. A mobile application is generated, that scans the QR code situated inside the cloth and gets connected to a database put away in a cloud database. It gives an advanced domain to both the producers and the end clients. From assembling viewpoint, the system can distinguish counterfeit brands, keep track of the devoted clients, and limit the assets waste and monitoring track of the merchandise utilizing a single RDBMS system. For end clients, the advantages are gigantic. Personal Stylist (Mobile Application) gives a straight forward UI where clients could get recommendations in regards to their clothes with different outfits, dressing as per the season and choosing whether the shading suits their skin tone or not.

Key-Words / Index Term :
Cloud database, IoT, Mobile application, QR-code, Relational database system

References :
[1] Xiao-song Hu, Li-ling Jiang , Rui Cheng , Tie-jun Wang , Qing Li,“A probablistic clothes recommender based on cloth features”, School of Economic Information Engineering, Southwestern Uni-vsersity of Finance and Economics, Chengdu 611130, China, August 2014.
[2] Poorva Parkhi, Snehal Thakur, Sonakshi Chauhan, “RFID based parking management system”, Department of Computer Engi-neering, 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] “A Simple and Efficient Image Pre-processing for QR Decoder” Weibing Chen, Gaobo Yang and Ganglin Zhang, Dept. of Electrics Communication Engineering, Changsha University, Changsha Hunan.
[5] “QR Code: A New Opportunity for Effective Mobile Marketing” Teuta Cata, Payal S. Patel and Toru Sakaguchi Northern Kentucky University, Highland Heights, KY 41099, USA.
[6] “Quick Response in the Textile Industries” Lefayet Sultan Lipol. International Journal of Scientific and Research Publications, Volume 5,
[7] “Comparison of MD5 and Blowfish Algorithm” Deepthi Student, Dept. of ECE, NMAM Institute of Technology, Nitte, Udupi, Karnataka, India.
[8] 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.

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