Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India

Research Article

Study Analysis of IoT in FMCG Smart Tags and their Significance in Counterfeit Prevention

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  • @INPROCEEDINGS{10.4108/eai.7-6-2021.2308798,
    author={Kedri  Janardhana and Razmah  Mahaboobjan and M.  Vijayaragavan and K.  Vinoth and N.  Kanagavalli},
    title={Study Analysis of IoT in FMCG Smart Tags and their Significance in Counterfeit Prevention},
    proceedings={Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India},
    publisher={EAI},
    proceedings_a={I3CAC},
    year={2021},
    month={6},
    keywords={digital transformation human sensor network; smart tags; brand protection counterfeit prevention fast moving consumer goods},
    doi={10.4108/eai.7-6-2021.2308798}
}
  • Kedri Janardhana
    Razmah Mahaboobjan
    M. Vijayaragavan
    K. Vinoth
    N. Kanagavalli
    Year: 2021
    Study Analysis of IoT in FMCG Smart Tags and their Significance in Counterfeit Prevention
    I3CAC
    EAI
    DOI: 10.4108/eai.7-6-2021.2308798
Kedri Janardhana1,*, Razmah Mahaboobjan2, M. Vijayaragavan3, K. Vinoth4, N. Kanagavalli5
  • 1: Assistant Professor (Senior Grade), Department of Electrical Engineering, Faculty of Engineering, Dayalbagh Educational Institute (Deemed to be University), Agra, India
  • 2: Assistant Professor, Sri Sai Ram Institute of Technology, Chennai, India
  • 3: Assistant Professor, Department of Electrical and Electronics Engineering, Mailam Engineering College, Mailam, India
  • 4: Assistant Professor, Department of Electrical and Electronics Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India
  • 5: Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Institute of Technology, Chennai, India
*Contact email: janardhankedri@dei.ac.in

Abstract

Current study portrays a novel method for counterfeit prevention and brand security in the FMCG business. The introduced approach consolidates Internet of Things, Cloud, and Mobile advancements with the utilization of specially crafted savvy labels (smart tags) applied to each product to give track and follow capacities. The smart labels join QR code with extra data printed with an imperceptible photochromatic ink. The labels are enacted by spotlight on cell phones during the checking. Prior to checking, clients are provoked to choose the setting of the products (available, sold, and consumed) to give extra data about each product container as it travels through the inventory network. Consumer family types reveals essential information on family types and roles in selecting the product for purchasing. The statistical analysis of family type is 84.7 and 15.2 percentage (out of 354 members) in nuclear and joint family respectively. Awareness percentage on smart tags is 49.15, 32.17 and 18.07 percentage in consumer awareness, unaware and may be respectively. Analysis of fake products identification on smart tags is 53.67, 27.96 and 18.36 percentage in consumer identification, unidentified, and may be respectively. Counterfeit information on products identification on smart tags is 97.74, 2.259 percentage in counterfeit information obtained by consumer is higher than not obtained consumers. Analysis of benefit percentage on products is 94.63, 5.37 percentage in be]

Keywords
digital transformation human sensor network; smart tags; brand protection counterfeit prevention fast moving consumer goods
Published
2021-06-04
Publisher
EAI
http://dx.doi.org/10.4108/eai.7-6-2021.2308798
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