Determination of counterfeit products via certified quick response codes and a trusted product certificate authority

Abstract

Server-implemented methods for detecting counterfeit products. A server receives a product identifier and associated attribute data from a user device, compares this data with stored authentic data, and determines the likelihood of counterfeiting. If the likelihood exceeds a predetermined threshold, a notification is transmitted to the user device. The method includes additional features such as location-based discrepancy assessment, database updates, transaction logging, and user authentication. The server employs machine learning algorithms for enhanced detection accuracy and can handle batch processing of multiple identifiers. It also supports secure data transmission, secondary verification using external sources, and integration with mobile applications for real-time alerts. The server can generate detailed reports, calculate counterfeiting probabilities, and set counterfeit flags. Additionally, the present invention allows user input via a user interface and utilizes blockchain for data verification, ensuring comprehensive counterfeit detection and notification capabilities.