SISTEMA DE CLASIFICACION DE BILLETES BASADO EN NEUROANALISIS

System for optimizing the security of a banknote for users, characterized in that it comprises: - an input module (2) comprising sensors, configured to synchronously acquire biometric signals for eye tracking, gestural behavior and skin conductance, in response to visual, tactile, and sound stimulation of a group of users with a plurality of candidate banknotes that differ in a parameter of size, location, or color of a security feature; - a processing module (3), configured to define at least one area of interest in each candidate ticket that includes the area of the ticket occupied by the security element; segmenting the biometric signals into predetermined time periods, said biometric signals being associated with at least one of the defined areas of interest; compare each of the segments of the biometric signals with pre-established patterns; analyze the biometric signals according to known results previously stored in a database using techniques based on machine learning and generate a security neurometric indicator associated with each candidate ticket; and - An output module (5) configured to quantitatively order the candidate banknotes according to the neurometric security indicator generated; and assigning the parameter of the first ordered candidate ticket to the manufacture of the security element of a new ticket of optimized identification for the users. (Machine-translation by Google Translate, not legally binding)