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A neural network based counterfeit detection system to verify the authenticity of products

Total Cost €


EC-Contrib. €






Project "Microguard" data sheet

The following table provides information about the project.


Organization address
address: RUE BARGUE 27
city: PARIS
postcode: 75015
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2018
 Duration (year-month-day) from 2018-05-01   to  2018-09-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CYPHEME FR (PARIS) coordinator 50˙000.00


 Project objective

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.

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The information about "MICROGUARD" are provided by the European Opendata Portal: CORDIS opendata.

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