Authors :
Aditya Umesh Shet; Sheikh Rameez Ibrahim; Mayuri Joshi; Shon Lesly Menezes; Ramalingam H.M
Volume/Issue :
Volume 7 - 2022, Issue 4 - April
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3wsYGLw
Abstract :
The problem is, the available technology are
does not work to eliminating counterfeit goods. QR
codes and holograms are widely used but can be easily
duplicated. According to research, the footwear and
clothing industry is the industry that has suffered the
most losses as a result of counterfeit products. We have
seen situations in the Apparel industry where the
packaging of counterfeit clothing is as good as the real
thing, and this comes as a major concern for brands
that provide genuine clothing. So here, we propose a
solution that promises to identify counterfeit items on
the market using AI and image processing algorithms.
In some cases, the acquisition of counterfeit products is
a challenge for consumers and can sometimes be
dangerous as well. Misconduct of fraudulent practices is
most commonly encountered with premium quality
products due to its small risk and huge revenue
benefits. The counterfeit accessories and actions of
counterfeit goods are quickly transformed from mobile
marketplace into e-commerce sites. Currently,
counterfeit prices of clothing and accessories hinder the
financial growth of the luxury goods and the fashion
industry. There has been an increase in the adoption of
track and trace technology by leading fashion apparel
manufacturers around the world. To combat these
fraudulent processes, we propose an AI based antifraud system. This study suggests a fraudulent antifraud management system for designer apparels based
on AI-based image statistics. This program ensures a
complete follow-up of the production of designer
clothing. The end user can personally verify the
authenticity of the product by sharing the product
details in a fixed format.
Keywords :
Counterfeit; QR code; Apparel Industry; AI;
The problem is, the available technology are
does not work to eliminating counterfeit goods. QR
codes and holograms are widely used but can be easily
duplicated. According to research, the footwear and
clothing industry is the industry that has suffered the
most losses as a result of counterfeit products. We have
seen situations in the Apparel industry where the
packaging of counterfeit clothing is as good as the real
thing, and this comes as a major concern for brands
that provide genuine clothing. So here, we propose a
solution that promises to identify counterfeit items on
the market using AI and image processing algorithms.
In some cases, the acquisition of counterfeit products is
a challenge for consumers and can sometimes be
dangerous as well. Misconduct of fraudulent practices is
most commonly encountered with premium quality
products due to its small risk and huge revenue
benefits. The counterfeit accessories and actions of
counterfeit goods are quickly transformed from mobile
marketplace into e-commerce sites. Currently,
counterfeit prices of clothing and accessories hinder the
financial growth of the luxury goods and the fashion
industry. There has been an increase in the adoption of
track and trace technology by leading fashion apparel
manufacturers around the world. To combat these
fraudulent processes, we propose an AI based antifraud system. This study suggests a fraudulent antifraud management system for designer apparels based
on AI-based image statistics. This program ensures a
complete follow-up of the production of designer
clothing. The end user can personally verify the
authenticity of the product by sharing the product
details in a fixed format.
Keywords :
Counterfeit; QR code; Apparel Industry; AI;
