[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3092305.3092307acmconferencesArticle/Chapter ViewAbstractPublication PagesmobisysConference Proceedingsconference-collections
research-article

Konark: A RFID based System for Enhancing In-store Shopping Experience

Published: 19 June 2017 Publication History

Abstract

In this paper, we introduce a Radio Frequency IDentification (RFID) based smart shopping system, KONARK, which helps users to checkout items faster and to track purchases in real-time. In parallel, our solution also provides the shopping mall owner with information about user interest on particular items. The central component of KONARK system is a customized shopping cart having a RFID reader which reads RFID tagged items. To provide check-out facility, our system detects in-cart items with almost 100% accuracy within 60s delay by exploiting the fact that the physical level information (RSSI, phase, doppler, read rate etc.) of in-cart RFID tags are different than outside tags. KONARK also detects user interest with 100% accuracy by exploiting the change in physical level parameters of RFID tag on the object user interacted with. In general, KONARK has been shown to perform with reasonably high accuracy in different mobility speeds in a mock-up of a shopping mall isle.

References

[1]
Cisco Customer Experience Research, "Retail shopping results," 2013. {Online} www.cisco.com/c/dam/en/us/solutions/collateral/executive-perspectives/executive-perspectives/ccer_retail_global.pdf.
[2]
GreatClips Customer Experience Research, "New survey reveals how much customers hate to wait," 2012. {Online} http://www.greatclips.com/about-us/news-releases/time-survey.
[3]
M. E. Lawless, "Checking out: A qualitative study of supermarket cashiers' emotional response to customer mistreatment," Master Thesis, University of South Florida, 2014.
[4]
A. Beck and M. Hopkins, "Developments in retail mobile scanning technologies," 2013. {Online} http://www.alphagalileo.org/AssetViewer.aspx?AssetId=114179&CultureCode=en.
[5]
"Digimarc survey: 88 percent of u.s. adults want their retail checkout experience to be faster." http://bit.ly/1TrK7Ro.
[6]
D. Grewal, A. L. Roggeveen, and J. Nordfält, "The future of retailing," Journal of Retailing, vol. 93, no. 1, pp. 1 -- 6, 2017. The Future of Retailing.
[7]
"A retailers' map to hyper-relevance." {Online} http://www.cisco.com/c/dam/en/us/solutions/collateral/executive-perspectives/retail-infographic.pdf.
[8]
"Amazon go." https://www.amazon.com/b?node=16008589011.
[9]
"The future of retail: Hassle-free checkout." http://theweek.com/articles/534864/future-retail-hasslefree-checkout.
[10]
"Touchless commerce by toshiba at nrf2015." http://bit.ly/2oORlVH.
[11]
"Amazon delays opening of cashierless store to work out kinks." https://www.wsj.com/articles/amazon-delays-convenience-store-opening-to-work-out-kinks-1490616133.
[12]
D. R. Bell and J. M. Lattin, "Shopping behavior and consumer preference for store price format: Why "large basket" shoppers prefer edlp," Marketing Science, vol. 17, pp. 66--88, Jan. 1998.
[13]
G. L. Lohse, S. Bellman, and E. J. Johnson, "Consumer buying behavior on the internet: Findings from panel data," Journal of Interactive Marketing, vol. 14, no. 1, pp. 15--29, 2000.
[14]
J. Lee, M. Podlaseck, E. Schonberg, and R. Hoch, "Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising," Data Min. Knowl. Discov., vol. 5, no. 1--2, pp. 59--84, 2001.
[15]
"Rfid tag cost." https://www.rfidjournal.com/faq/show?85.
[16]
"Zara builds its business around rfid." http://www.wsj.com/articles/at-zara-fast-fashion-meets-smarter-inventory-1410884519.
[17]
"Rfid: New tag technology will elevate target's guest experience." https://corporate.target.com/article/2015/05/keri-jones-perspectives-RFID.
[18]
K. V. S. Rao, P. V. Nikitin, and S. F. Lam, "Impedance matching concepts in rfid transponder design," AUTOID '05, (Washington, DC, USA), pp. 39--42, IEEE Computer Society, 2005.
[19]
P. V. Nikitin, K. V. S. Rao, S. Member, and S. Lazar, "An overview of near field uhf rfid," 2007.
[20]
"Impinj speedway uhf rfid reader." https://www.impinj.com/products/readers/.
[21]
"Epc/rfid llrp standards." http://www.gs1.org/epcrfid/epc-rfid-llrp/1--1-0.
[22]
"Octane sdk for impinj." https://support.impinj.com/hc/en-us/articles/202755268-Octane-SDK.
[23]
"Speedway revolution reader application note low level." http://bit.ly/2geiFVA.
[24]
"Smartrac dogbone rfid paper tag (monza 4d)." https://www.atlasrfidstore.com/smartrac-dogbone-rfid-paper-tag-monza-4d/a.
[25]
"Morrisons to ditch unpopular intelligent queue management system." http://www.thegrocer.co.uk/stores/store-design/morrisons-to-ditch-unpopular-intelligent-queue-management-system/515895.article.
[26]
S. Gai, E. Jung, and B. Yi, "Localization algorithm based on zigbee wireless sensor network with application to an active shopping cart," in 2014 IEEE RSJ, pp. 4571--4576, 2014.
[27]
S. R. Rupanagudi, F. Jabeen, V. R. S. K. R, S. Adinarayana, V. K. Bharadwaj, K. R, and V. G. Bhat, "A novel video processing based cost effective smart trolley system for supermarkets using fpga," in ICCICT, pp. 1--6, Jan 2015.
[28]
Y.-C. Tseng, Y.-C. Wang, and K.-Y. Cheng, "An integrated mobile surveillance and wireless sensor (imouse) system and its detection delay analysis," MSWiM '05, (New York, NY, USA), pp. 178--181, ACM, 2005.
[29]
J. Han, H. Ding, C. Qian, W. Xi, Z. Wang, Z. Jiang, L. Shangguan, and J. Zhao, "Cbid: A customer behavior identification system using passive tags," IEEE/ACM Transactions on Networking, vol. 24, pp. 2885--2898, Oct 2016.
[30]
T. Liu, L. Yang, X. Li, H. Huang, and Y. Liu, "Tagbooth: Deep shopping data acquisition powered by RFID tags," in INFOCOM 2015, Kowloon, Hong Kong, pp. 1670--1678, 2015.
[31]
Y. Guo, L. Yang, B. Li, T. Liu, and Y. Liu, "Rollcaller: User-friendly indoor navigation system using human-item spatial relation," in INFOCOM 2014, Toronto, Canada, pp. 2840--2848, 2014.
[32]
W. Chih-Chiang, C. Yi-Ling, Y. Chuang-Wen, C. Ming-Syan, and C. Hao-hua, "Using mobile phones to monitor shopping time at physical stores," IEEE Pervasive Computing, vol. 10, pp. 37--43, 2011.
[33]
L. Shangguan, Z. Zhou, X. Zheng, L. Yang, Y. Liu, and J. Han, "Shopminer: Mining customer shopping behavior in physical clothing stores with cots rfid devices," SenSys '15, (New York, NY, USA), pp. 113--125, ACM, 2015.
[34]
S. Rallapalli, A. Ganesan, K. Chintalapudi, V. N. Padmanabhan, and L. Qiu, "Enabling physical analytics in retail stores using smart glasses," MobiCom '14, (New York, NY, USA), pp. 115--126, ACM, 2014.
[35]
J. Ou, M. Li, and Y. Zheng, "Come and be served: Parallel decoding for cots rfid tags.," in MobiCom 2015 (S. Fdida, G. Pau, S. K. Kasera, and H. Zheng, eds.), pp. 500--511, ACM, 2015.
[36]
O. Abari, D. Vasisht, D. Katabi, and A. Chandrakasan, "Caraoke: An e-toll transponder network for smart cities," SIGCOMM '15, (New York, NY, USA), pp. 297--310, ACM, 2015.

Cited By

View all
  • (2024)Enabling High-rate Backscatter Sensing at ScaleProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3649351(124-138)Online publication date: 29-May-2024
  • (2024)Fine-Grained UHF RFID Localization for RoboticsIEEE/ACM Transactions on Networking10.1109/TNET.2024.345769632:6(5247-5262)Online publication date: Dec-2024
  • (2023)Customer Shopping Behavior Analysis Using RFID and Machine Learning ModelsInformation10.3390/info1410055114:10(551)Online publication date: 8-Oct-2023
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
WPA '17: Proceedings of the 4th International on Workshop on Physical Analytics
June 2017
50 pages
ISBN:9781450349581
DOI:10.1145/3092305
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 June 2017

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. RFID
  2. RSSI
  3. arduino
  4. automation
  5. check-out
  6. clustering
  7. doppler
  8. mobility
  9. retail

Qualifiers

  • Research-article

Conference

MobiSys'17
Sponsor:

Acceptance Rates

Overall Acceptance Rate 11 of 17 submissions, 65%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)28
  • Downloads (Last 6 weeks)3
Reflects downloads up to 19 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Enabling High-rate Backscatter Sensing at ScaleProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3649351(124-138)Online publication date: 29-May-2024
  • (2024)Fine-Grained UHF RFID Localization for RoboticsIEEE/ACM Transactions on Networking10.1109/TNET.2024.345769632:6(5247-5262)Online publication date: Dec-2024
  • (2023)Customer Shopping Behavior Analysis Using RFID and Machine Learning ModelsInformation10.3390/info1410055114:10(551)Online publication date: 8-Oct-2023
  • (2022)Tamera: Contactless Commodity Tracking, Material and Shopping Behavior Recognition Using COTS RFIDsACM Transactions on Sensor Networks10.1145/356377719:2(1-24)Online publication date: 15-Sep-2022
  • (2022)A Passive Eye-in-Hand "Camera" for Miniature RobotsProceedings of the 20th ACM Conference on Embedded Networked Sensor Systems10.1145/3560905.3568505(740-753)Online publication date: 6-Nov-2022
  • (2022)Design and Implementation of a Vision- and Grating-Sensor-Based Intelligent Unmanned Settlement SystemIEEE Transactions on Artificial Intelligence10.1109/TAI.2021.31162273:2(254-264)Online publication date: Apr-2022
  • (2021)mmTagProceedings of the 2021 ACM SIGCOMM 2021 Conference10.1145/3452296.3472917(463-474)Online publication date: 9-Aug-2021
  • (2021)Parallel Backscatter: Channel Estimation and BeyondIEEE/ACM Transactions on Networking10.1109/TNET.2021.305897729:3(1128-1140)Online publication date: Jun-2021
  • (2020)Millimeter Wave BackscatterProceedings of the 19th ACM Workshop on Hot Topics in Networks10.1145/3422604.3425948(139-145)Online publication date: 4-Nov-2020
  • (2020)Fireworks: Channel Estimation of Parallel Backscattered Signals2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN48710.2020.00-44(85-96)Online publication date: Apr-2020
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media