Autonomous Surveillance Drones for Baseline-Guided Intrusion Detection

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Solution Overview

Problem

Conventional commercial surveillance systems require significant investment in video cameras and are prone to missing conditions and false alarms, making them costly and inefficient for monitoring large areas, while military drones are expensive and not practical for small-scale commercial applications.

Innovation Solution

A method and system utilizing drones for surveillance, where the drone makes an initial tour to establish a baseline, checks in at pre-programmed locations, transmits data to a server, and recharges, reducing false alarms and costs by providing robust monitoring at lower expenses.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If conventional commercial surveillance systems use multiple video cameras to cover large areas, then surveillance coverage is improved, but system cost and complexity increase significantly

Engineering Contradiction:
Improvesurveillance coverage areaVSAvoidsystem complexity
Core Design Contradiction:
Area of stationary objectVSDevice complexity

Solution Approach 1:

The surveillance system is segmented into multiple independent drone units, each capable of autonomous operation. Instead of one complex centralized system with many cameras, multiple simpler drone units independently cover different areas, reducing overall system complexity while maintaining large coverage area

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system transitions from two-dimensional ground-based camera coverage to three-dimensional aerial drone coverage. Drones operate in the air space above the facility, providing surveillance from elevated positions that naturally cover larger areas with fewer units, thereby improving coverage while limiting complexity growth

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If conventional surveillance systems deploy many video cameras and analytics channels, then surveillance capability is improved, but licensing costs and operational expenses increase

Engineering Contradiction:
Improvesurveillance capabilityVSAvoidoperational cost
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The system employs multiple inexpensive drone units that can be replaced if needed, rather than relying on expensive permanent camera installations. Each drone is a cost-effective unit that provides reliable surveillance capability at lower individual cost, reducing total operational expenses while maintaining surveillance reliability

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

Solution Approach 2:

Each drone unit is multi-functional, serving as both camera platform and analytics processing unit. The drones perform multiple surveillance functions (area monitoring, anomaly detection, tracking) within single units, reducing the need for separate specialized equipment and lowering overall operational costs while maintaining comprehensive surveillance capability

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

3Ease of manufacture

If conventional surveillance systems use fixed camera positions, then installation simplicity is maintained, but ability to detect moving targets and cover large areas deteriorates

Engineering Contradiction:
Improveinstallation simplicityVSAvoidtarget detection capability
Core Design Contradiction:
Ease of manufactureVSReliability

Solution Approach 1:

The system replaces static fixed cameras with dynamic mobile drones that can move to optimal positions. The drones autonomously navigate to detect and track moving targets, providing reliable target detection capability while maintaining installation simplicity through automated deployment and operation

Inventive Principle:
Principle #15Dynamics

Data Source

PatentEP3207535B1Drone tours in security systems
Publication Date: 2024.05.22 TYCO FIRE & SECURITY GMBH
  • EP3207535B1 patent drawingFigure 1
  • EP3207535B1 patent drawingFigure 1A
  • EP3207535B1 patent drawingFigure 2

AI summary

An unmanned aerial vehicle is described and includes a computer carried by the unmanned aerial vehicle to control flight of the unmanned aerial vehicle and at least one sensor. The unmanned aerial vehicle is caused to fly a specific pattern within a facility, receive sensor data from a sensor carried by the vehicle, apply processing to the sensor data to detect an unacceptable level of detected feature differences in features contained in the sensor data with respect to video data previously captured at the same location, determine a new flight instruction for the vehicle based on the processing; and send the new flight instruction for the vehicle to a system for controlling flight of the vehicle.