Matches in SemOpenAlex for { <https://semopenalex.org/work/W2743567459> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2743567459 abstract "Counterfeiting of physical goods is a global problem amounting to nearly 7% of world trade. While there have been a variety of overt technologies like holograms and specialized barcodes and covert technologies like taggants and PUFs, these solutions have had a limited impact on the counterfeit market due to a variety of factors - clonability, cost or adoption barriers. In this paper, we introduce a new mechanism that uses machine learning algorithms on microscopic images of physical objects to distinguish between genuine and counterfeit versions of the same product. The underlying principle of our system stems from the idea that microscopic characteristics in a genuine product or a class of products (corresponding to the same larger product line), exhibit inherent similarities that can be used to distinguish these products from their corresponding counterfeit versions. A key building block for our system is a wide-angle microscopy device compatible with a mobile device that enables a user to easily capture the microscopic image of a large area of a physical object. Based on the captured microscopic images, we show that using machine learning algorithms (ConvNets and bag of words), one can generate a highly accurate classification engine for separating the genuine versions of a product from the counterfeit ones; this property also holds for super-fake counterfeits observed in the marketplace that are not easily discernible from the human eye. We describe the design of an end-to-end physical authentication system leveraging mobile devices, portable hardware and a cloud-based object verification ecosystem. We evaluate our system using a large dataset of 3 million images across various objects and materials such as fabrics, leather, pills, electronics, toys and shoes. The classification accuracy is more than 98% and we show how our system works with a cellphone to verify the authenticity of everyday objects." @default.
- W2743567459 created "2017-08-17" @default.
- W2743567459 creator A5011084081 @default.
- W2743567459 creator A5012339168 @default.
- W2743567459 creator A5032046158 @default.
- W2743567459 creator A5072232894 @default.
- W2743567459 date "2017-08-13" @default.
- W2743567459 modified "2023-10-16" @default.
- W2743567459 title "The Fake vs Real Goods Problem" @default.
- W2743567459 cites W1993309459 @default.
- W2743567459 cites W2073808537 @default.
- W2743567459 cites W2097117768 @default.
- W2743567459 cites W2108598243 @default.
- W2743567459 cites W2112796928 @default.
- W2743567459 cites W2129236194 @default.
- W2743567459 cites W2155893237 @default.
- W2743567459 cites W2162915993 @default.
- W2743567459 cites W2167433100 @default.
- W2743567459 cites W2465567107 @default.
- W2743567459 cites W2546302380 @default.
- W2743567459 doi "https://doi.org/10.1145/3097983.3098186" @default.
- W2743567459 hasPublicationYear "2017" @default.
- W2743567459 type Work @default.
- W2743567459 sameAs 2743567459 @default.
- W2743567459 citedByCount "14" @default.
- W2743567459 countsByYear W27435674592018 @default.
- W2743567459 countsByYear W27435674592019 @default.
- W2743567459 countsByYear W27435674592020 @default.
- W2743567459 countsByYear W27435674592021 @default.
- W2743567459 countsByYear W27435674592022 @default.
- W2743567459 countsByYear W27435674592023 @default.
- W2743567459 crossrefType "proceedings-article" @default.
- W2743567459 hasAuthorship W2743567459A5011084081 @default.
- W2743567459 hasAuthorship W2743567459A5012339168 @default.
- W2743567459 hasAuthorship W2743567459A5032046158 @default.
- W2743567459 hasAuthorship W2743567459A5072232894 @default.
- W2743567459 hasConcept C107457646 @default.
- W2743567459 hasConcept C111472728 @default.
- W2743567459 hasConcept C136197465 @default.
- W2743567459 hasConcept C138885662 @default.
- W2743567459 hasConcept C154945302 @default.
- W2743567459 hasConcept C17744445 @default.
- W2743567459 hasConcept C189950617 @default.
- W2743567459 hasConcept C199539241 @default.
- W2743567459 hasConcept C2524010 @default.
- W2743567459 hasConcept C2777210771 @default.
- W2743567459 hasConcept C2779356469 @default.
- W2743567459 hasConcept C2781238097 @default.
- W2743567459 hasConcept C33923547 @default.
- W2743567459 hasConcept C38652104 @default.
- W2743567459 hasConcept C41008148 @default.
- W2743567459 hasConcept C90673727 @default.
- W2743567459 hasConceptScore W2743567459C107457646 @default.
- W2743567459 hasConceptScore W2743567459C111472728 @default.
- W2743567459 hasConceptScore W2743567459C136197465 @default.
- W2743567459 hasConceptScore W2743567459C138885662 @default.
- W2743567459 hasConceptScore W2743567459C154945302 @default.
- W2743567459 hasConceptScore W2743567459C17744445 @default.
- W2743567459 hasConceptScore W2743567459C189950617 @default.
- W2743567459 hasConceptScore W2743567459C199539241 @default.
- W2743567459 hasConceptScore W2743567459C2524010 @default.
- W2743567459 hasConceptScore W2743567459C2777210771 @default.
- W2743567459 hasConceptScore W2743567459C2779356469 @default.
- W2743567459 hasConceptScore W2743567459C2781238097 @default.
- W2743567459 hasConceptScore W2743567459C33923547 @default.
- W2743567459 hasConceptScore W2743567459C38652104 @default.
- W2743567459 hasConceptScore W2743567459C41008148 @default.
- W2743567459 hasConceptScore W2743567459C90673727 @default.
- W2743567459 hasLocation W27435674591 @default.
- W2743567459 hasOpenAccess W2743567459 @default.
- W2743567459 hasPrimaryLocation W27435674591 @default.
- W2743567459 hasRelatedWork W1482002985 @default.
- W2743567459 hasRelatedWork W2048639071 @default.
- W2743567459 hasRelatedWork W2058182359 @default.
- W2743567459 hasRelatedWork W2194152910 @default.
- W2743567459 hasRelatedWork W2375578527 @default.
- W2743567459 hasRelatedWork W2403974694 @default.
- W2743567459 hasRelatedWork W2594955185 @default.
- W2743567459 hasRelatedWork W2794700492 @default.
- W2743567459 hasRelatedWork W2975200075 @default.
- W2743567459 hasRelatedWork W2635177588 @default.
- W2743567459 isParatext "false" @default.
- W2743567459 isRetracted "false" @default.
- W2743567459 magId "2743567459" @default.
- W2743567459 workType "article" @default.