18301372. COUNTERFEIT DETECTION USING IMAGE ANALYSIS simplified abstract (Capital One Services, LLC)
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 18301372 titled 'COUNTERFEIT DETECTION USING IMAGE ANALYSIS
The abstract of the patent application describes a device that can determine whether a second note is counterfeit by comparing the visual characteristics of the first and second notes.
- The device obtains images of two notes and identifies unique identifiers and visual characteristics associated with each note.
- If the second note's identifier matches the first note's identifier, the device determines that the second note is purported to be the first note.
- The device then compares the visual characteristics of the two notes to determine if the second note is counterfeit.
- Based on this determination, the device can take appropriate actions.
Potential Applications: - Counterfeit detection in currency and financial transactions - Authentication of important documents and certificates
Problems Solved: - Preventing fraud and counterfeit activities - Ensuring the authenticity of valuable items
Benefits: - Increased security in financial transactions - Protection against counterfeit scams
Commercial Applications: Title: "Currency Authentication Device for Fraud Prevention" This technology can be used in banks, financial institutions, and retail businesses to verify the authenticity of currency and important documents, reducing the risk of fraud and counterfeit activities in the market.
Questions about Currency Authentication Technology: 1. How does this technology impact the security of financial transactions?
This technology enhances the security of financial transactions by detecting counterfeit currency and preventing fraud.
2. What are the potential drawbacks of relying on visual characteristics for counterfeit detection?
Relying solely on visual characteristics for counterfeit detection may not be foolproof as counterfeiters can replicate these features with advanced technology.
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.
