Drone Depth Mapping for Obstacle Avoidance and Object Tracking

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Solution Overview

Problem

Existing fact-checking systems face challenges with speed, efficiency, accuracy, and scalability in verifying the accuracy of information disseminated through social networks.

Innovation Solution

A social networking fact-checking system that automatically monitors, processes, and verifies information by comparing it with source information, providing a status of the information and modifying web pages with fact-check results.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional fact-checking methods are used to verify information accuracy, then reliability of information is improved, but speed and productivity deteriorate due to manual verification processes

Engineering Contradiction:
Improveinformation accuracyVSAvoidfact-checking speed
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent replaces manual mechanical fact-checking processes with automated electronic systems that use algorithms, databases, and computational methods to verify information accuracy, thereby maintaining reliability while dramatically improving speed and productivity

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

Solution Approach 2:

The system enables self-service fact-checking where the automated system independently verifies information against multiple sources without requiring manual intervention, allowing continuous operation at high speed while maintaining accuracy through systematic verification protocols

Inventive Principle:
Principle #25Self-service

2Reliability

If comprehensive fact-checking is performed on all social media information, then information integrity is improved, but device complexity and operational difficulty increase

Engineering Contradiction:
Improveinformation integrityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the fact-checking system into modular components including data collection modules, verification modules, database modules, and output modules, allowing the complex task of comprehensive fact-checking to be divided into manageable, independently operable units that reduce overall system complexity

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system employs universal verification algorithms and multi-functional databases that can handle various types of information (text, images, videos) across different social media platforms, reducing complexity by using standardized approaches rather than separate systems for each information type

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Productivity

If automated monitoring and processing is implemented to improve fact-checking speed, then productivity is improved, but measurement precision and detection difficulty worsen

Engineering Contradiction:
Improvefact-checking efficiencyVSAvoidinformation verification accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent implements feedback mechanisms where the automated system continuously monitors verification results, compares them against established criteria, and adjusts its processing algorithms to maintain precision while operating at high speed, ensuring that automation does not compromise measurement accuracy

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12271955B2Drone device
Publication Date: 2025.04.08 MYSLINSKI LUCAS J
  • US12271955B2 patent drawing
  • US12271955B2 patent drawing
  • US12271955B2 patent drawing

AI summary

An aerial drone device includes sensors and cameras to acquire information and content. The aerial drone device acquires depth information and navigates based on the acquired information and content, including avoiding an obstacle. The aerial drone device generates a depth map which is used to track an object. The aerial drone device is able to be re-positioned to avoid an obstruction using the depth map and obstruction analysis.