Indoor Drone Navigation With Virtual Knocks for Private Areas
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Solution Overview
Problem
Current systems for unmanned vehicle surveillance within structures lack effective communication and navigation methods to ensure privacy and appropriate access to sensitive areas, and they do not provide comprehensive feedback on the condition of surveyed properties.
Innovation Solution
The system employs an unmanned vehicle equipped with sensors, a data analysis engine, a route determination engine, and a sensor management engine, which communicates with a network and server to analyze data, navigate, and provide feedback, using a floor plan to survey structures and adjust its mission based on gathered information, while implementing virtual knocks to access sensitive areas and providing heat maps for damage assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the unmanned vehicle surveys sensitive areas without proper protocols, then surveillance coverage is improved, but privacy violations occur
Solution Approach 1:
The system performs preliminary actions by notifying occupants before entering sensitive areas through virtual knock protocols. The unmanned vehicle communicates its intent to access private spaces in advance, allowing occupants to consent or prepare, thereby preventing privacy violations before they occur while maintaining surveillance capability.
Solution Approach 2:
The system introduces an intermediary communication layer between the unmanned vehicle and occupants. Virtual knock notifications serve as a mediator that bridges the surveillance function and privacy protection, enabling controlled access to sensitive areas through predetermined communication protocols rather than direct unauthorized entry.
2Loss of information
If the unmanned vehicle provides detailed real-time feedback, then property condition monitoring is improved, but communication bandwidth and energy consumption increase
Solution Approach 1:
The system applies partial action by providing property condition feedback selectively rather than continuously. The unmanned vehicle transmits detailed information about damage, structural conditions, or safety issues only when thresholds are exceeded or specific conditions are detected, reducing energy consumption while maintaining adequate monitoring coverage for critical property conditions.
3Productivity
If the unmanned vehicle navigates autonomously without human intervention, then operational efficiency is improved, but navigation accuracy in complex indoor environments deteriorates
Solution Approach 1:
The system implements feedback loops where the unmanned vehicle continuously receives navigation data, compares it with expected trajectories, and adjusts its path accordingly. Real-time feedback from sensors and position tracking enables the vehicle to maintain high navigation accuracy in complex indoor environments while operating autonomously, resolving the trade-off between operational efficiency and precision.
Data Source
AI summary
Unmanned vehicles can be terrestrial, aerial, nautical, or multi-mode. Unmanned vehicles may be used to survey a property in response to or in anticipation of a security threat or damage to the property. For example, an unmanned vehicle may analyze information about the property and based on the information provide graphics and information associated with the surveying of the property.