1
Department of Computer Engineering, Sanjivani College of Engineering ,Kopargaon
(akshayramgude007@gmail.com)
2
Department of Computer Engineering, Sanjivani College of Engineering ,Kopargaon
(kvengatesancomp@sanjivani.org.in)
3
Department of Computer Engineering, Sanjivani College of Engineering ,Kopargaon
(kunalgkjoshi@gmail.com)
4
Department of Computer Engineering, Sanjivani College of Engineering ,Kopargaon
(chaitanyatekane5@gmail.com)
Abstract :
Counterfeit goods have become particularly crucial issue in the product manufacturing industry in recent years. This phenomenon has an impact on company sales and profits. This problem affects a variety of industries, including pharmaceuticals, electronics, jewellery, and cosmetics. We also recognize that in today's fast changing digital environment, smartphones have become both common and necessary. Various smartphone applications have been developed, allowing us to increase our productivity while also saving time. In recent years, several digital technologies have been introduced, such as QR codes, barcodes, OTP verification, call verification, and so on for detecting falsified products. However, due to reasons such as complicated functionality, easy cheating, and poor user experience, they were unable to implement these ideas on a large scale. A one-time QR code-based solution is used to ensure the identification of real products across the supply chain and at the consumer end, avoiding product counterfeiting. By using this system, consumers can easily differentiate between genuine and tampered or counterfeit product without any registration. The proposed system also helps the organization get data of the customers based on the region where their product is being sold. The given approach is quite scalable, fool-proof and cost effective as it uses centralized database, QR code generator and scanner.
Keywords :
Counterfeit , QR code , Centralized Database , Scratch label
References :
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Counterfeiting”, Aug 2016.
[2] M. C. Jayaprasanna, V. A. Soundharya, M. Suhana and S. Sujatha, "A Block Chain based Management System
for Detecting Counterfeit Product in Supply Chain," 2021 Third International Conference on Intelligent
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10.1109/ICICV50876.2021.9388568.
[3] Kentaroh Toyoda, P. Takis Mathiopoulos, I. Sasase and TomoakiOhtsuki, “A Novel Blockchain-Based Product
Ownership ManagementSystem (POMS) for Anti-Counterfeits in the Post Supply Chain,” June2017.
[4] Jinhua ma, Shih-Ya Lin, Xin Chen, Hung-min-sun, Yeh-Cheng Chen, Huaxiong Wang” A Block Chain Based
Application For Product AntiCounterfeiting” Feb,2020.
[5] Muhammad Asif Habib, Muhammad Bilal Sardar, Sohail Jabbar, C M Nadeem Faisal, Nasir Mahmood and ,”
Block chain-based Supply Chain for the Automation of Transaction Process: Case Study based
Validation”,March,2020
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| Style | # |
|---|---|
| MLA | Ramgude AkshayDili, K. Vengatesa, Kunal Joshi, Chaitanya Tekane. "Counterfeit Product Detection System Using One-Time QR code." Journal of Cognitive Human-Computer Interaction, Vol. 2, No. 2, 2022 ,PP. 65-71 (Doi : https://doi.org/10.54216/JCHCI.020205) |
| APA | Ramgude AkshayDili, K. Vengatesa, Kunal Joshi, Chaitanya Tekane. (2022). Counterfeit Product Detection System Using One-Time QR code. Journal of Journal of Cognitive Human-Computer Interaction, 2 ( 2 ), 65-71 (Doi : https://doi.org/10.54216/JCHCI.020205) |
| Chicago | Ramgude AkshayDili, K. Vengatesa, Kunal Joshi, Chaitanya Tekane. "Counterfeit Product Detection System Using One-Time QR code." Journal of Journal of Cognitive Human-Computer Interaction, 2 no. 2 (2022): 65-71 (Doi : https://doi.org/10.54216/JCHCI.020205) |
| Harvard | Ramgude AkshayDili, K. Vengatesa, Kunal Joshi, Chaitanya Tekane. (2022). Counterfeit Product Detection System Using One-Time QR code. Journal of Journal of Cognitive Human-Computer Interaction, 2 ( 2 ), 65-71 (Doi : https://doi.org/10.54216/JCHCI.020205) |
| Vancouver | Ramgude AkshayDili, K. Vengatesa, Kunal Joshi, Chaitanya Tekane. Counterfeit Product Detection System Using One-Time QR code. Journal of Journal of Cognitive Human-Computer Interaction, (2022); 2 ( 2 ): 65-71 (Doi : https://doi.org/10.54216/JCHCI.020205) |
| IEEE | Ramgude AkshayDili, K. Vengatesa, Kunal Joshi, Chaitanya Tekane, Counterfeit Product Detection System Using One-Time QR code, Journal of Journal of Cognitive Human-Computer Interaction, Vol. 2 , No. 2 , (2022) : 65-71 (Doi : https://doi.org/10.54216/JCHCI.020205) |