AI UAV Sensor Fusion for Near-Real-Time UXO Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for detecting and identifying buried explosive devices like UXOs in agricultural fields are inefficient, time-consuming, and prone to errors, particularly due to the limitations of individual sensor technologies and the need for extensive post-field analysis.
Innovation Solution
A UAV-based multi-module sensor system incorporating IR, EO, SAR, and LiDAR sensors with onboard processing capabilities for near-real-time detection and identification of UXOs, utilizing sensor fusion and machine learning to analyze terrain anomalies and provide pre-processed data to pyrotechnic teams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sensor methods are used for UXO detection, then device complexity is reduced, but measurement precision and detection accuracy deteriorate
Solution Approach 1:
The patent combines multiple different sensor types (magnetometers, ground penetrating radar, electro-optical cameras, thermal imaging cameras) into a single integrated sensor system mounted on the UAV. This merging of heterogeneous sensors allows the system to detect UXO through multiple physical phenomena simultaneously, significantly improving measurement precision and detection accuracy while compensating for the limitations of individual sensor types.
Solution Approach 2:
The sensor system functions as a composite detection platform that integrates sensors operating on different physical principles (magnetic field detection, radar wave reflection, optical imaging, thermal radiation detection). This composite approach allows the system to detect various types of UXO with different material compositions and burial depths, achieving high measurement precision across diverse target types.
2Measurement precision
If extensive post-field analysis is performed, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary data processing, fusion, and analysis during the field survey itself rather than after collection. The onboard computer fuses data from multiple sensors in real-time and generates preliminary UXO detections and classifications during the flight, eliminating the need for extensive post-field analysis and significantly reducing the total survey time while maintaining high identification accuracy.
Solution Approach 2:
The patent replaces the traditional mechanical process of manual post-field data analysis with automated electronic data processing and fusion algorithms executed on-board the UAV. This substitution of automated computational systems for manual analysis processes enables real-time UXO identification during the survey, dramatically reducing the time loss associated with post-field processing while maintaining or improving measurement precision.
3Reliability
If individual sensor technologies are used, then device complexity is reduced, but reliability of detection deteriorates
Solution Approach 1:
The patent merges multiple sensor modules with different detection mechanisms into a single integrated system. Each sensor type (magnetometer, GPR, electro-optical, thermal) provides independent verification and complementary information about potential UXO targets. This merging creates a redundant detection system where multiple sensors must agree on a detection, significantly improving reliability while the integrated design manages the complexity of having multiple sensor types.
Solution Approach 2:
The system implements feedback loops where data from each sensor module continuously informs and refines the detections of other sensors. The onboard computer fuses sensor data in real-time, using feedback from multiple independent detection channels to confirm or reject potential UXO targets. This feedback mechanism increases detection reliability by eliminating false positives that might occur with individual sensors while the systematic feedback process manages the complexity of multi-sensor integration.
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
Enables rapid and accurate detection and classification of UXOs, reducing survey time to a quarter of conventional methods by providing near-real-time data analysis directly to pyrotechnic teams, enhancing safety and efficiency in UXO clearance operations.
Implementation Method 1
IR, EO, SAR, and LiDAR sensors
Implementation Method 2
IR, EO, SAR, and LiDAR sensors
Implementation Method 3
IR, EO, SAR, and LiDAR sensors
Data Source
AI summary
A system and processes detect, identify a Unexploded Ordnances (UXOs) and/or categorize UXOs in near real-time using Unmanned Aerial Vehicles (UAVs). In accordance with various disclosed embodiments, the equipment includes such UAVs (also referred to herein as “drones,”) that include a plurality of sensors for imaging the terrain of a geographic area to analyze the terrain and detect anomalies and/or changes that may be indicative location of UXOs, for example, soil moving activity performed in association with the burying the UXO. Additionally, the UAVs include processing equipment, e.g., one or more small form factor devices, e.g., Next Unit of Computing (NUC) compute elements or the like, that provide processing power to provide EDGE computing on the data gathered at the UAV.