Aerial Drone Privacy Obfuscation via Motion Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a need to protect assets such as residences, structures, and areas from airborne surveillance by aerial drones, which can peek over conventional fences and conduct intrusive observation.
Innovation Solution
A system that detects hovering or lingering behavior of aerial drones using camera-based security systems, tracks object motion through video streams, and actuates privacy enhancement measures such as altering opacity, reflectivity, or interposing barriers between the asset and the drone to prevent surveillance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If aerial drones are used for surveillance, then observation capability is improved, but privacy protection deteriorates
Solution Approach 1:
The patent introduces an intermediary system consisting of detection devices and countermeasures that mediate between the surveillance drone and the protected asset. The detection device monitors for drone presence, and when detected, countermeasures are activated to block the surveillance, thus protecting privacy while allowing legitimate observation when no threat exists.
Solution Approach 2:
The system applies preliminary anti-action by detecting the presence of surveillance drones before they can complete intrusive observation. Upon detection, countermeasures are preemptively activated to alter the appearance of the protected asset or create visual interference, preventing the harmful surveillance action before it can occur.
2Object-affected harmful factors
If privacy enhancement measures are activated, then privacy protection is improved, but device complexity increases
Solution Approach 1:
The system implements preliminary action by pre-configuring countermeasure devices in their ready state before surveillance threats occur. The detection device continuously monitors for drones, and upon detection, pre-programmed countermeasures are automatically activated, reducing the need for complex real-time decision-making and control systems.
Solution Approach 2:
The system employs feedback mechanisms where the detection device continuously monitors for drone presence and feeds this information to the control system. When a drone is detected, the system activates countermeasures and continues monitoring to determine when the threat has passed, allowing deactivation of countermeasures. This closed-loop feedback simplifies control by automating the respond.
3Measurement precision
If video streams are analyzed for motion detection, then surveillance detection capability is improved, but processing time increases
Solution Approach 1:
The system extracts only the critical motion information needed for drone detection from video streams, rather than analyzing all video data in full detail. By focusing on detecting specific motion patterns characteristic of surveillance drones, the system achieves effective surveillance detection while minimizing processing time and computational resources required.
Data Source
AI summary
A camera-based security system protects an asset by detecting an aerial surveillor and consequently storing notifications into a video archive, alerting to an operator console, and actuating privation apparatus. One or more cameras provides video streams to a processor which derives object motion. Attributes of object motion trigger notification to record and alert on conditions associated with an aerial surveillor. Tracking of pixels, pixel blocks, and motion vectors enable rules based determination of an airborne surveillance vehicle according to characteristic hovering or lingering by masking LSB of accumulated positive and negative movements. Actuators cause privation enhancement apparatus to obfuscate the protected asset (structure, area, or volume) or to interpose between the protected asset and the surveillor. The method traces a travel path of an object; and determines a ray from a private property to a surveillor drone.