LiDAR Spatial Mapping for Dynamic QR Code Authentication

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Conventional QR codes are static and prone to unauthorized duplication, leading to security breaches such as malware installation, unauthorized access, and fraudulent transactions.

Innovation Solution

A dynamic QR code system utilizing spatial computing devices with LiDAR technology to generate and verify QR codes through environmental mapping, video frame analysis, and AI-based pattern encoding, ensuring real-time generation and authentication.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If static QR codes are used, then ease of manufacture and operation are improved, but security reliability deteriorates due to unauthorized duplication

Engineering Contradiction:
Improveease of QR code usageVSAvoidsecurity of QR code
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent transitions from static QR codes to dynamic QR codes that change over time. The system generates QR codes with time-varying patterns that expire after use, preventing unauthorized duplication while maintaining ease of operation through automated generation and verification processes.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system implements a feedback mechanism where the QR code is verified by a server that checks its validity and updates its status. This feedback loop ensures that only valid, unexpired QR codes are accepted, enhancing security while maintaining operational simplicity through automated verification.

Inventive Principle:
Principle #23Feedback

2Reliability

If dynamic QR codes are generated with LiDAR environmental mapping, then security reliability is improved, but device complexity increases

Engineering Contradiction:
Improvesecurity of QR codeVSAvoidcomplexity of QR code generation system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces a server as an intermediary that handles the complex tasks of QR code generation, environmental mapping verification, and validity checking. This moves the computational complexity from the end-user device to a centralized server, reducing device complexity while maintaining high security through sophisticated verification processes.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system replaces traditional mechanical or manual QR code generation methods with AI-based environmental mapping and pattern generation. The LiDAR-based spatial understanding and neural network-based QR code generation automate the process, reducing manual intervention while enhancing security through unique environmental fingerprints.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If AI-based environmental mapping is used for QR code generation, then uniqueness and security are improved, but processing time increases

Engineering Contradiction:
Improveuniqueness of QR codeVSAvoidtime for QR code generation
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary environmental mapping and stores the spatial data before QR code generation is needed. By pre-processing the environmental data and maintaining it in the system, the actual QR code generation process can quickly reference stored information rather than performing full environmental scans in real-time, reducing processing time while maintaining uniqueness.

Inventive Principle:
Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enhances security by making QR codes unique to each use, preventing unauthorized access and ensuring legitimate user verification, thereby hardening QR code security.

Implementation Method 1

LiDAR technology is a depth recognizing system using laser lights. A LiDAR analyzer may create a map of a physical environment surrounding the spatial computing device.

Methodology Applied
Scientific EffectLiDAR: LIDAR

Implementation Method 2

LiDAR technology is a depth recognizing system using laser lights.

Methodology Applied
Scientific EffectLaser: Laser

Data Source

PatentUS12423400B2Spatial computing device powered lidar technology enabled dynamic quick response (“QR”) code generation mechanism
Publication Date: 2025.09.23 BANK OF AMERICA CORP
  • US12423400B2 patent drawing
  • US12423400B2 patent drawing
  • US12423400B2 patent drawing

AI summary

A method for providing a QR code. The method includes generating a map of an environment surrounding a spatial computing device. The map may be converted into a video. The video may be stored in a database. The video may be divided into multiple frames. A pattern may be arranged for placement of the frames. The frames may be placed inside the QR code in accordance with the pattern. The QR code may be scanned. The pattern may be decoded. The video frames may be retrieved, and the video may be restored. A request associated with the QR code may be executed.