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

Janardhana, Kedri and Mahaboobjan, Razmah and Vijayaragavan, M. and Vinoth, K. and Kanagavalli, N. (2021) Study Analysis of IoT in FMCG Smart Tags and their Significance in Counterfeit Prevention. In: I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India.

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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]

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: digital transformation human sensor network; smart tags; brand protection counterfeit prevention fast moving consumer goods
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 21 Jun 2021 08:08
Last Modified: 21 Jun 2021 08:08
URI: https://eprints.eudl.eu/id/eprint/3838

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