Autonomous Security Drone Verification for False Alarm Response

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Solution Overview

Problem

Conventional security systems experience high rates of false alarms, leading to unnecessary resource allocation and privacy risks due to their reliance on static sensors that cannot verify alarm events and are vulnerable to hacking, and they lack integration with existing systems within a facility.

Innovation Solution

Deployment of autonomous vehicles, such as drones or ground robots, equipped with cameras and sensors to verify alarm events by capturing data and processing it to determine the validity of alarms, thereby reducing false alarms and enhancing security system integration and privacy protection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If static sensors are used to detect alarm events, then the security system can monitor the facility, but the system generates high rates of false alarms and cannot verify event validity

Engineering Contradiction:
Improvealarm verification accuracyVSAvoidresource allocation efficiency
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent transforms the static sensor system into a dynamic verification system by deploying mobile autonomous vehicles that can physically move to alarm locations. This dynamic approach allows the system to adapt to different alarm scenarios and verify events in real-time, eliminating the false alarm problem inherent in static sensors that cannot confirm event validity.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The autonomous vehicle acts as an intermediary between the static sensor and the security responder. The vehicle receives alarm signals from static sensors, travels to the location, verifies the event using onboard cameras and sensors, then reports back to determine if full security response is warranted. This intermediary layer filters false alarms before resources are committed.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If cameras and microphones are mounted continuously for monitoring, then security coverage is improved, but privacy risks and vulnerability to hacking increase

Engineering Contradiction:
Improvesecurity monitoring coverageVSAvoidprivacy risk
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

Instead of continuous operation, the patent implements periodic activation of cameras and microphones only when alarm events are detected. The autonomous vehicle activates sensors at specific locations on-demand rather than maintaining continuous surveillance, reducing privacy intrusion while maintaining security effectiveness through event-triggered monitoring.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The patent extracts the monitoring function from fixed, always-on cameras and microphones, relocating it to mobile autonomous vehicles that only activate sensors when needed. This separates the security monitoring capability from continuous surveillance, allowing the system to maintain coverage while minimizing privacy risks by taking cameras and microphones out of constant operation.

Inventive Principle:
Principle #2Taking out (Extraction)

3Reliability

If autonomous vehicles are deployed to verify alarms, then false alarm rates decrease and resource allocation improves, but device complexity increases

Engineering Contradiction:
Improvealarm verification accuracyVSAvoidsystem structural complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the security system into distinct functional modules: static sensors for initial detection, autonomous vehicles for verification, and central control for coordination. Each component has a specific, simplified function, making the overall complex system manageable through modular design where complexity is distributed across independent segments rather than concentrated in one system.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11260970B2Autonomous home security devices
Publication Date: 2022.03.01 AMAZON TECH INC
  • US11260970B2 patent drawing
  • US11260970B2 patent drawing
  • US11260970B2 patent drawing

AI summary

An aerial vehicle is programmed or configured to respond to reports of events or conditions within spaces of a facility. The aerial vehicle travels to a location of a reported event or condition and captures data using onboard sensors. The aerial vehicle independently determines whether the reported event or condition is occurring, or is otherwise properly addressed by resources that are available at the location, using images or other data captured by the onboard sensors. Alternatively, the aerial vehicle transmits a request for additional resources to be provided at the location, where necessary. A map of the location generated based on images or other data captured by the onboard sensors may be utilized for any purpose, such as to make one or more recommendations of products that are appropriate for use at the facility.