Capital one services, llc (20240346843). COUNTERFEIT DETECTION USING IMAGE ANALYSIS simplified abstract
Contents
COUNTERFEIT DETECTION USING IMAGE ANALYSIS
Organization Name
Inventor(s)
Samuel Yip of East Brunswick NJ (US)
Mario A. Garcia of Arlington VA (US)
Roberto Irizarry of Vienna VA (US)
COUNTERFEIT DETECTION USING IMAGE ANALYSIS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240346843 titled 'COUNTERFEIT DETECTION USING IMAGE ANALYSIS
Simplified Explanation: This patent application describes a device that can detect counterfeit notes by comparing visual characteristics of different notes.
Key Features and Innovation:
- Device obtains images of notes and identifies unique identifiers and visual characteristics.
- Compares visual characteristics to determine if a note is counterfeit.
- Takes action based on the determination of counterfeit notes.
Potential Applications: This technology can be used in banks, retail stores, and other businesses to prevent counterfeit money from circulating.
Problems Solved: This technology addresses the issue of counterfeit money being used in transactions, which can lead to financial losses for businesses.
Benefits:
- Increased security in financial transactions.
- Prevention of financial losses due to counterfeit money.
- Enhanced trust in the authenticity of currency.
Commercial Applications: The technology can be implemented in cash handling machines, ATMs, and point of sale systems to ensure the validity of currency being used in transactions.
Prior Art: Researchers can explore prior art related to image recognition technology, counterfeit detection systems, and currency authentication methods.
Frequently Updated Research: Stay updated on advancements in image recognition technology, counterfeit detection algorithms, and currency security measures to enhance the effectiveness of this technology.
Questions about counterfeit detection technology: 1. How does this technology compare to existing counterfeit detection methods? 2. What are the potential limitations of this technology in detecting sophisticated counterfeit notes?
Questions about currency authentication: 1. How can businesses benefit from implementing this technology in their operations? 2. What are the key factors to consider when choosing a counterfeit detection system for a business?
Original Abstract Submitted
in some implementations, a device may obtain a first image of a first note, and identify a first identifier associated with the first note and a first set of visual characteristics of the first note indicating an appearance of the first note. the device may obtain a second image of a second note, and identify a second identifier associated with the second note and a second set of visual characteristics of the second note indicating an appearance of the second note. the second identifier may correspond to the first identifier, indicating that the second note is purported to be the first note. the device may determine whether the second note is counterfeit based on the first set of visual characteristics of the first note and the second set of visual characteristics of the second note. the device may perform action(s) based on a determination that the second note is counterfeit.
