US 2026/0301499 A1 · AI-ENHANCED ACOUSTIC ANALYSIS SYSTEM FOR COIN AUTHENTICITY VERIFICATION AND COUNTERFEIT DETECTION USING CONVOLUTIONAL NEURAL NETWORKS AND SPECTROGRAM PROCESSING

Abstract

A system, method, and computer-readable medium for authenticating coins using acoustic analysis and artificial intelligence. An acoustic signal acquisition module captures an acoustic signal generated when a coin is struck against a striking surface. A signal processing module generates a time-frequency spectrogram from the captured signal by applying a Short-Time Fourier Transform. A convolutional neural network trained on spectrogram images of known genuine and counterfeit coins extracts a feature vector from the spectrogram, and a machine learning classifier classifies the coin as genuine or counterfeit based on the extracted feature vector. Dynamic Time Warping alignment compensates for variations in striking conditions by aligning the test signal against a genuine reference signal and computing a deviation percentage score. A Peltier thermoelectric element applies a controlled thermal gradient to the coin and a temperature sensor measures the rate of heat transfer to provide supplementary thermal conductivity authentication.

Claims20

Dependent claims

A system for authenticating coins, comprising:

an acoustic signal acquisition module comprising a microphone positioned to capture an acoustic signal generated when a coin is struck against a striking surface;
a signal processing module communicatively coupled to the acoustic signal acquisition module, the signal processing module configured to receive the captured acoustic signal and generate a time-frequency spectrogram representation thereof by applying a Short-Time Fourier Transform to the captured acoustic signal;
a feature extraction module communicatively coupled to the signal processing module, the feature extraction module comprising a convolutional neural network trained on spectrogram images derived from acoustic signals of known genuine coins and known counterfeit coins, the convolutional neural network configured to receive the time-frequency spectrogram representation as an input image and extract a feature vector therefrom;
and
a classification module communicatively coupled to the feature extraction module, the classification module configured to receive the feature vector and classify the coin as genuine or counterfeit based on the extracted feature vector using a trained machine learning classifier.

2 more elements

A method for authenticating a coin, comprising:

capturing, via a microphone, an acoustic signal generated when the coin is struck against a striking surface;
preprocessing the captured acoustic signal and generating a time-frequency spectrogram representation of the preprocessed acoustic signal by applying a Short-Time Fourier Transform thereto;
inputting the time-frequency spectrogram representation as an image to a convolutional neural network trained on spectrogram images derived from acoustic signals of known genuine coins and known counterfeit coins, and extracting, via the convolutional neural network, a feature vector from the time-frequency spectrogram representation;
and
classifying the coin as genuine or counterfeit based on the extracted feature vector using a trained machine learning classifier.

2 more elements

A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform a method comprising:

receiving an acoustic signal captured by a microphone when a coin is struck against a striking surface;
generating a time-frequency spectrogram representation of the acoustic signal by applying a Short-Time Fourier Transform thereto;
providing the time-frequency spectrogram representation as an input image to a convolutional neural network trained on spectrogram images derived from acoustic signals of known genuine coins and known counterfeit coins, and extracting, via the convolutional neural network, a feature vector from the time-frequency spectrogram representation;
and
classifying the coin as genuine or counterfeit based on the extracted feature vector using a trained machine learning classifier.

2 more elements

Dependencies are inferred from the claim text.

Ai-enhanced acoustic analysis system for coin authenticity verification and counterfeit detection using convolutional neural networks and spectrogram processing

Life of this patent

Ai-enhanced acoustic analysis system for coin authenticity verification and counterfeit detection using convolutional neural networks and spectrogram processing

Life of this patent

Abstract

Claims20