Descrizione del progetto
Usare gli smartphone per individuare le contraffazioni
La contraffazione dei manufatti rappresenta una grave perdita economica per le industrie e un rischio per la salute dei clienti. Nel corso dell’attuale pandemia di Covid-19, prodotti contraffatti come guanti e mascherine possono avere effetti pericolosi sulla salute pubblica. Sebbene la contraffazione non sia un problema nuovo, non esiste ancora una soluzione che offra protezione e rassicurazione alle aziende e ai clienti. Il progetto Microguard, finanziato dall’UE, propone due sistemi di rilevamento delle contraffazioni basati sull’intelligenza artificiale (IA) che consentono ai consumatori di identificare gli oggetti contraffatti mediante la fotocamera standard degli smartphone. Il sistema utilizza una combinazione di proprietà di sicurezza innovative, tra cui una vernice microstrutturale che può essere letta solo con la tecnologia IA fornita da Cypheme, una società specializzata in soluzioni anticontraffazione. Il progetto affronterà le sfide tecniche del sistema e si preparerà alla commercializzazione.
Obiettivo
Counterfeiting is a crime, involving the manufacturing or distribution of goods under someone else's name, and without their permission. According to an International Chamber of Commerce, the total value of counterfeit and pirated goods globally is around €1.77 trillion. Each year EU companies lose €83 billion in sales due to counterfeited products. Although the counterfeiting has been a problem for decades, there is no effective solution that allows consumers to simply verify authenticity of products or for companies to effectively protect supply chains. Moreover, counterfeit goods are generally made from lower quality components that put the health and safety of consumers at risk. In these days of international emergency the news report that China has confiscated over 31 million counterfeit medical face masks that have fled the market due to the Coronavirus (COVID-19) emergency. Global retailers such as Amazon and Etsy have also reported cases.
Cypheme introduces two AI-based counterfeit detection systems that allow a consumer to determine if a product is an original branded product using only a standard smartphone camera. Microguard labels use a combination of novel security features, including a micro-structured varnish that can only be read with an artificial intelligence technology developed by Cypheme to authenticate the product. Microguard DeepTrace is an algorithm able to extract deep spectral information from printed pigments, providing a revolutionary measure of authenticity without any modification of the packaging or product. Microguard is unique in the level of security it provides and its resistance to forgery by counterfeiters. Microguard solutions have already gained market traction, trusted to protect more than €140 million worth of products. The Phase 2 project will address the technical challenges to achieve scale up and provide commercial demonstration and validation with suitable partners to facilitate full-scale market entry.
Campo scientifico
- natural sciencescomputer and information sciencesartificial intelligence
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- medical and health scienceshealth sciencesinfectious diseasesRNA virusescoronaviruses
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- social scienceseconomics and businessbusiness and managementcommerce
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-EIC-SMEInst-2018-2020-3
Meccanismo di finanziamento
SME - SME instrumentCoordinatore
75015 PARIS
Francia
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