Sneaker Verification Using QR, NFC, and Computer Vision
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Solution Overview
Problem
Resale platforms lose millions due to counterfeit sneakers, and manual verification is unreliable and slow.
Innovation Solution
A system using a mobile application that verifies sneakers through QR codes, RFID tags, computer vision, and machine learning, embedding an NFC chip for verification and tracking ownership, and maintaining records in a blockchain, with a blockchain for secure and tamper-proof record keeping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual verification of sneakers is used, then verification can be performed without complex technology, but verification is unreliable and slow
Solution Approach 1:
The patent replaces manual mechanical verification with automated electronic verification systems including QR code scanning, RFID tagging, NFC chips, computer vision, and machine learning algorithms. This substitution dramatically improves verification reliability and speed while reducing human labor requirements.
Solution Approach 2:
The patent introduces intermediary technologies such as QR codes, RFID tags, and NFC chips as mediators between the sneaker and the verification system. These intermediaries enable automated identification and verification, resolving the contradiction between reliability and complexity by providing structured data interfaces.
2Productivity
If automated verification systems are implemented, then verification speed and reliability improve, but system complexity increases
Solution Approach 1:
The patent segments the verification system into multiple independent components: QR code scanning module, RFID tagging module, NFC chip embedding, computer vision module, and blockchain recording module. Each component performs a specific function, improving overall productivity while managing complexity through modular design.
Solution Approach 2:
The patent creates a multi-functional verification system that can handle multiple verification methods (QR code, RFID, NFC, computer vision) within a single platform. This universal approach improves productivity by providing flexible verification options while consolidating complexity into one integrated system.
3Reliability
If blockchain technology is used for record keeping, then record security and tamper-proofing improve, but system complexity and implementation cost increase
Solution Approach 1:
The patent implements blockchain technology in advance to establish a secure foundation for all verification records before they are created. By pre-configuring the blockchain infrastructure and smart contracts, the system ensures record security from the outset while managing complexity through upfront planning and standardized implementation.
Data Source
AI summary
A computer-implemented method for verifying sneakers where the sneaker includes a QR code. The method comprises receiving pictures and/or videos of a sneaker to be verified and receiving a QR code associated with a sneaker to be verified. Determining whether to verify the sneaker is based on the pictures and/or videos of the sneaker and the QR code. Computer vision and machine learning is used to identify and verify the sneaker and the sneaker is not verified if the QR code is a duplicate of a stored QR code.