Descripción del proyecto
La primera inteligencia artificial capaz de detectar productos falsificados
El comercio de falsificaciones y productos pirateados está en auge. Esto supone un gran problema en una economía mundial impulsada por la innovación, porque amenaza los modelos de negocio sostenibles basados en la propiedad intelectual y las patentes. Se afirma que los productos falsificados y, en concreto, los medicamentos de imitación matan a más personas que la malaria. En la Unión Europea, los productos falsificados y pirateados representan alrededor del 5 % de las importaciones. En el marco del proyecto financiado con fondos europeos Microguard se comercializará un sistema de detección de falsificaciones que tan solo precisa de una cámara de teléfono móvil. El sistema, que es el primero de este tipo que se pone a la venta, utiliza una inteligencia artificial capaz de analizar la microestructura de los materiales impresos y detectar cualquier mínimo error cometido por los falsificadores.
Objetivo
Counterfeiting is a crime, involving the manufacturing or distribution of goods under someone else's name, and without their permission. Counterfeit goods are generally made from cheap and lower quality component that put the health and safety of consumers at risk.
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 solution yet for it fighting at consumer level.
Cypheme introduces a counterfeit detection system that allows a consumer to determine if a product is an original branded product using only a cell phone camera. The system uses a micro structured varnish that can only be read with a neural network technology developed by Cypheme to authenticate the product. The system can be applied directly on the product, making it harder for counterfeiters to copy.
During the feasibility assessment, a minimum viable product will be defined, a go-to-market strategy and a supply chain will be established, as well as further development plan will be drafted. Within the overall innovation project, Cypheme aims to adapt the varnish application to metal, glass and plastic and upscale the neural recognition software; optimize the user interface for brand owners and consumers; perform a quality demonstration and validation of the system at different goods.
Ámbito científico
- medical and health scienceshealth sciencespublic health
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologymaterials engineering
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEInst-2018-2020-1
Régimen de financiación
SME-1 - SME instrument phase 1Coordinador
75015 PARIS
Francia
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.