Counterfeit Detector

Abstract

The anti-counterfeit detector allows to recognize authentic products (handbags) and to distinguish them from counterfeits. It is composed of 3 element chips allowing the recognition of branded products. - An electronic chip dedicated to the gates called Smart Electronic Chips for Gate (3) [Fig1], (1) [Fig2] - An electronic chip dedicated to the gates called Smart Electronic Chips for reader by waves for barcode scanner (2), (3) [Fig1], (2), (3) [Fig3] - An electronic chip dedicated to the gates called Smart Electronic Chips for barcode reader for barcode scanner (2) [Fig1] [Fig3] [Fig4] The control of counterfeiting is carried out thanks to the recognition / authentication of at least three of the criteria below: a. Recognition of an identical shape b. Recognition of an identical color c. Recognition of a specific sign

Description

Title of the invention: Counterfeit detector Technical field

[0001] The invention presented below is a smart counterfeit chip to be inserted into gates as well as into detector scanners, allowing multi-channel authentication of manufactured products. Prior art

[0002] Currently, counterfeiting is a scourge that affects all economic sectors, and in particular the world of luxury. Prestigious brands are often targeted by counterfeiters, who seek to profit from their reputation and the quality of their products. To effectively combat counterfeiting, companies must first protect their creations and brands. But while clearly establishing the intellectual property of the elements that constitute a company's identity, such as logos, slogans or even specific designs, is an effective legal protection, in practice, the fight against copying and reproduction of registered designs is a real challenge. In order to combat counterfeiting, airports, customs controls and haute couture houses now have as their number one tool the manual dismantling of suspected products. Disclosure of the invention

[0003] The anti-counterfeiting detector corresponds to the Intelligent Electronic Chip for counterfeiting detection, the detection of counterfeiting is carried out as follows:

[0004] The client sends the elements he wishes to control via his interface, this must be done under 3 recognition control criteria, in electronic or physical form. The control information received is pre-written in the chip. The administrator will connect to the cloud (Database) via the authentication server which will authenticate him and create the client's environment and insert the pre-recorded information on the smart chip into the cloud (Database).

[0005] Electronics. For example, a particular color, a button, a shape, an electronic chip, a proportion of fabric typology (example: 80% cashmere / 20% cotton, etc.) the customer transmits it to us via the cloud in his space. We register the criterion on the smart chip via the encoder. Physically, the customer scans the object via photogrammetric scanning technology and transmits it to us via the cloud in his space. We register the criterion on the smart chip via the encoder. Once the registration in the chip is done, this chip is inactive and is transmitted to the customer by post, who will activate it (activation procedure “7”) via the encoder connected to his administrator workstation of the customer via the USB or USBC port. The customer receives a link (sent by the administrator) via the cloud in his space allowing him to connect and initialize his password and thus activate his chip. The activation API is previously deposited on the customer's environment. His encoder connected to his administration station via the USB or USBC port, the pre-registered chip is introduced into his encoder. Once connected, a script (API) available on his environment will activate his chip which is now operational. This can then be introduced to the gates, to the scanners which operate by waves (X-ray), according to the customer's choice. His reader is now ready for counterfeit detection checks.

[0006] The design of the smart chip with optical sensor is a system whose operation is based on the principle of the artificial neural network also on neuroinformatics. The tool used is a chip inserted into a portal (1), and scanners (2) which allow recognition of the authenticity of the product (4) [Fig.l]

[0007] Operation of the invention

[0008] Data collection (at the time of acquisition)

[0009] They can be genetic, imaging or even electronic. The data are verified, annotated, de-identified and referenced.

[0010] Development of algorithms to combine the collected data and analyze them.

[0011] The data is organized and integrated into databases, then analyzed by computer programs, algorithms based on the neural network.

[0012] Data modeling.

[0013] The algorithms are deployed on dedicated computer architectures. This results, depending on the scenarios, in the synthesis of digital models, or predictive tools for example.

[0014] Validation of established models.

[0015] The effectiveness of the models is tested and verified on new data sets.

[0016] Data protection.

[0017] Even though everyone agrees on the undeniable benefits of this technological revolution that is data science and artificial intelligence, the questions of data protection and its ethical use remain to be resolved. Who will have access to this data? For what uses? We make it a priority to ensure that data protection is taken into account from the design stage of a project.

[0018] The AI-based detection software automatically identifies metallic and non-metallic objects. All criteria specified by the manufacturer will be detected, an indicator will be displayed on a control panel, in real time and accurately, to specify the nature of the counterfeit. If, however, a control is If necessary, security personnel can focus on areas that triggered an alarm instead of searching the passenger.

[0019] Counterfeiting control is carried out through the recognition / authentication of at least three of the criteria below:

[0020] Recognition of an identical shape

[0021] Recognition of an identical color

[0022] Recognition of a specific sign

[0023] [Fig-1] Is an overall diagram of the anti-counterfeit detector

[0024] [Fig.2] Is an overall diagram of the anti-counterfeit detector

[0025] [Fig.3] Is an overall diagram of the anti-counterfeit detector

[0026] [Fig.4] Is a diagram of the operation of the anti-counterfeit detector

[0027] [Fig.5]] Is an overall diagram of the anti-counterfeit detector

[0028] Speed: Boning is a rigorous procedure carried out by expert employees. The arrival of this tool will provide exponential time savings in this sector.

[0029] Productivity.

Claims

Claims

1. Counterfeit detection method implemented by an electronic chip characterized in that it comprises the collection of data, this data being able to be genetic, imaging or even electronic data which are verified, annotated, de-identified and referenced, the combination of said collected data and their analysis.

2. Method according to claim 1 characterized in that the counterfeiting control is carried out by the recognition of at least three of the following criteria: Recognition of an identical shape, Recognition of an identical color, Recognition of a specific sign, and in that the user sends the elements that he wishes to control via an interface.

3. Electronic chip configured to implement the counterfeit detection method according to one of the preceding claims.

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