Today, the world has become an online market, but this has also led to an exponential rise in fake and non-standard products. With the development of artificial intelligence and the emergence of complex forms of counterfeiting, things are getting more complicated. . It's hard to see, but can AI itself help us overcome this problem?
Counterfeit goods are a serious problem in the economy, and although estimates vary, the total amount of counterfeit goods sold each year ranges from $1.7 trillion to $4.5 trillion, making counterfeiting at least the tenth largest in the world.
In addition, counterfeiting can affect consumer confidence in genuine products. Trademark and intellectual property protection firm IncoPro found that 52% of consumers lose faith in brands after purchasing counterfeit products online, while 64% lose faith in marketplaces. Nike urged to stop selling its products on Amazon.
How can artificial intelligence help identify counterfeit products?
Alitheon offers an AI-based application called FeaturePoint that detects counterfeit products simply by taking a picture of the product with a smartphone.
The app works with any product, be it car accessories, cosmetics, sneakers, or expensive items like art, watches, or even gold bars.
How does FeaturePoint work?
(FeaturePoint) can take a picture of the original product to be scanned, then use artificial intelligence technology to analyze the image of the product, and then generate a digital fingerprint of the product, which consists of various digital codes instead of using traditional bar codes or according to the content published on the company's official website, a code Quick response (QR). code) or Radio Frequency Identification (RFID) technology.
The company claims that two products of the same type made by the same company are unlikely to be 100% identical. Therefore, the application uses artificial intelligence techniques such as image processing technology and visual artificial intelligence algorithms to analyze the fine details of the surface of components. Products are physically identified as they leave the production line and translated into a unique mathematical identity (unique digital identity), which we can call a digital fingerprint for each product, similar to biometrics for humans.
Thus, the unique digital fingerprint of the product is stored in the application database, and when it comes to authentication or identification, the application takes a new image of the product and compares it with the references available to it to determine whether this product is genuine or fake.
This allows the app to identify the original product using each product's digital fingerprint, making it easier to monitor fakes.
In order to avoid fraud where the digital imprint of the product can be changed or duplicated, the company confirms that it uses blockchain technology to store the digital imprint, and the application (FeaturePrint) provides a check of the history of each product and can do this to determine if the product is damaged. or damage. This works regardless of the angle from which the product is shot.
It is important to note that only products with a registered digital imprint can be verified as authentic. Additionally, the company does not make the app publicly available on the App Store, but has so far offered it as a solution for companies to authenticate and track their products.
It should be noted that many companies are now using this application to protect their products from counterfeiting, including Fast Sneaks for shoes and the London Bullion Market Association to authenticate the bars you receive and ensure that they are legitimate and authentic with a legitimate origin.