Conference
Fake product detection using QRCode blockchain domain.
| Τίτλος: | Fake product detection using QRCode blockchain domain. |
|---|---|
| Συγγραφείς: | Subashree, M., Charulatha, C., Divya, T., Divyadharshini, M., Keshini, S., Keerthana, S. |
| Πηγή: | AIP Conference Proceedings; 2026, Vol. 3345 Issue 1, p1-5, 5p |
| Θεματικοί όροι: | Blockchains, Product counterfeiting, Two-dimensional bar codes, Consumers, Computer software execution, Disclosure |
| Περίληψη: | In recent years, there has been increased interest in blockchain technology. Currency exchange is one of the most discussed topics, but it is not just applicable to digital currency. hence it might have an impact on various business sectors. Large transactions are now easier to complete and more transparent thanks to blockchain technology. Blockchain technology allows us to identify counterfeit products. In today's world, the topic of whether an item is fake or not always comes up while purchasing one. It has been demonstrated that the absence of these items has a significant impact on economic advancement. Therefore, it's critical to raise customer awareness of product transparency in order to reduce the sale of any counterfeit items. The increasing prevalence of dangerous and counterfeit items worldwide is a reason for alarm, and blockchain technology has moved closer to eradicating them completely. The creation of counterfeit goods will decrease not just with the use of technology, but everyone must be aware of this. Each item that is produced and packaged correctly needs to have a unique digital code assigned to it. The software implementation procedure involves using this programme to scan the product code and subsequently determining whether or not the given product is counterfeit. [ABSTRACT FROM AUTHOR] |
| Copyright of AIP Conference Proceedings is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 190713330 RelevancyScore: 1056 AccessLevel: 6 PubType: Conference PubTypeId: conference PreciseRelevancyScore: 1056.06628417969 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=190713330 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1063/5.0298358 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 1 Subjects: – SubjectFull: Blockchains Type: general – SubjectFull: Product counterfeiting Type: general – SubjectFull: Two-dimensional bar codes Type: general – SubjectFull: Consumers Type: general – SubjectFull: Computer software execution Type: general – SubjectFull: Disclosure Type: general Titles: – TitleFull: Fake product detection using QRCode blockchain domain. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Subashree, M. – PersonEntity: Name: NameFull: Charulatha, C. – PersonEntity: Name: NameFull: Divya, T. – PersonEntity: Name: NameFull: Divyadharshini, M. – PersonEntity: Name: NameFull: Keshini, S. – PersonEntity: Name: NameFull: Keerthana, S. IsPartOfRelationships: – BibEntity: Dates: – D: 07 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 0094243X Numbering: – Type: volume Value: 3345 – Type: issue Value: 1 Titles: – TitleFull: AIP Conference Proceedings Type: main |
| ResultId | 1 |