Using smartphones to catch counterfeits
Counterfeiting of manufactured goods represents a serious economic loss for industries and a health risk for customers. During the ongoing Covid-19 pandemic, counterfeit products like gloves and masks can have dangerous effects on public health. And although counterfeiting is not a new problem, there is still no solution that offers protection and reassurance to companies and customers. The EU-funded Microguard project proposes two artificial intelligence (AI)-based counterfeit detection systems that allow consumers to identify counterfeit objects with the use of a standard smartphone camera. The system uses a combination of innovative security properties including a microstructural varnish that can only be read by AI technology provided by Cypheme, a company specialised in anti-counterfeit solutions. The project will address the technical challenges of the system and prepare for commercialisation.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligence
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
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