Multi-Sensor Drone Platform for Buried Landmine Detection

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Solution Overview

Problem

Current methods for detecting buried landmines, such as Ground Penetrating Radar, metal detectors, and thermographic cameras, are limited in their ability to accurately identify specific objects underground, with GPR only detecting presence and not details, metal detectors requiring metallic objects, and thermographic cameras being sensitive to wavelengths that may not detect plastic landmines effectively.

Innovation Solution

A multi-sensor airborne platform incorporating ground penetrating radar, metal detection, and thermal imaging, with sensors mounted on an active leveling platform to maintain horizontal orientation and utilize Convolutional Neural Networks to analyze signals and assign probability scores for buried object detection, enabling the combination of data from multiple sensors to identify buried items.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If Ground Penetrating Radar is used to detect buried objects, then the presence of objects can be detected non-intrusively, but specific details to ascertain what the object is cannot be obtained

Engineering Contradiction:
Improveobject detection capabilityVSAvoidobject identification details
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent combines multiple sensor technologies (GPR, metal detectors, thermographic cameras) into an integrated system. Each sensor type compensates for the limitations of others: GPR provides deep penetration and presence detection, metal detectors identify metallic components, and thermographic cameras detect heat signatures. This merging allows the system to obtain both presence confirmation and detailed object characteristics that no single sensor could provide alone.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The integrated sensor system performs multiple functions simultaneously: detecting object presence, determining object composition (metallic vs. non-metallic), measuring temperature anomalies, and providing depth information. This multi-functionality resolves the limitation of individual sensors by making the system capable of comprehensive object identification across different object types and materials.

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

2Measurement precision

If metal detectors are used to detect buried objects, then metallic objects can be detected effectively, but non-metallic objects such as plastic landmines cannot be detected

Engineering Contradiction:
Improvemetallic object detection accuracyVSAvoiddetection of non-metallic objects
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system integrates multiple detection technologies that together provide universal detection capability across all object types. While the metal detector maintains its precise detection of metallic objects, the addition of GPR and thermographic cameras enables detection of non-metallic objects like plastic landmines, achieving both metallic and non-metallic object detection within a single system.

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

Solution Approach 2:

The detection system is segmented into specialized sensor components, each optimized for specific object types. The metal detector handles metallic objects, GPR handles deep penetration and non-conductive objects, and thermographic cameras handle heat-emitting objects. This segmentation allows each component to maintain its specialized precision while the integrated system achieves broad versatility.

Inventive Principle:
Principle #1Segmentation

3Loss of information

If thermographic cameras are used to detect buried objects, then heat signatures can be visualized to pinpoint object locations, but objects that do not emit detectable infrared radiation cannot be effectively detected

Engineering Contradiction:
Improvethermal image dataVSAvoiddetection of non-thermal objects
Core Design Contradiction:
Loss of informationVSAdaptability or versatility

Solution Approach 1:

The system merges thermographic camera detection with GPR and metal detector capabilities. When thermographic cameras detect heat signatures, they provide precise location data. When objects do not emit detectable thermal radiation, the GPR and metal detector components compensate by detecting objects through electromagnetic wave reflection and metal conductivity, ensuring comprehensive coverage of all object types.

Inventive Principle:
Principle #5Merging (Combining)

4Measurement precision

If multiple sensor technologies are integrated to overcome individual limitations, then detection accuracy and object identification improve, but system complexity increases

Engineering Contradiction:
Improveburied object identification accuracyVSAvoidmulti-sensor system structure
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Multiple sensor technologies are merged into a single integrated platform mounted on an airborne vehicle. This consolidation allows simultaneous operation of GPR, metal detectors, and thermographic cameras from one system, reducing operational complexity compared to managing separate systems while maintaining the detection accuracy benefits of multi-sensor integration.

Inventive Principle:
Principle #5Merging (Combining)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system effectively identifies buried landmines by combining data from multiple sensors, providing a higher probability score for accurate detection and overcoming the limitations of individual technologies, enabling efficient surveying and potential rapid removal of landmines.

Implementation Method 1

Ground Penetrating Radar (GPR) is a non-intrusive method of surveying sub-surfaces. This nondestructive method uses electromagnetic radiation in the microwave band (UHF/VHF frequencies) of the radio spectrum and detects the reflected signals from subsurface structures.

Methodology Applied
Scientific EffectElectromagnetic radiation reflection: Reflection

Implementation Method 2

A metal detector is composed of an oscillator creating an alternating current that flows through a coil, then producing an alternating magnetic field. If a piece of electrically conductive metal is close to the coil, eddy currents will be instigated (inductive sensor) in the metal

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Implementation Method 3

If a piece of electrically conductive metal is close to the coil, eddy currents will be instigated (inductive sensor) in the metal, and this creates a magnetic field of its own.

Methodology Applied
Scientific EffectEddy currents: Eddy Currents

Implementation Method 4

A thermographic camera, which can also be called an infrared (IR) camera or thermal imaging camera, is a device that creates an image using infrared radiation. It detects infrared energy and turns it into an electronic signal, which is then processed to create a thermal image.

Methodology Applied
Scientific EffectInfrared radiation detection: Infrared Radiation

Implementation Method 5

These images let the user see how the heat is distributed as well as showing the temperature

Methodology Applied
Scientific EffectThermal radiation: Thermal Radiation

Data Source

PatentUS11557115B2System to detect underground objects using a sensor array
Publication Date: 2023.01.17 ZEN-O LLC DBA DUXO
  • US11557115B2 patent drawing
  • US11557115B2 patent drawing
  • US11557115B2 patent drawing

AI summary

Systems and method to detect presence of buried landmines in a suspect area. A drone is outfitted with a ground penetrating radar, an infrared camera, and a metal detector mounted onto a leveling platform. The drone is flown over the suspect area while maintaining the leveling platform horizontal. Signals from the ground penetrating radar, an infrared camera, and a metal detector are converted into radargram, thermal image, and metal gram. Convolutional neural networks are applied to each of the into radargram, thermal image, and metal gram to detect anomalies.