Multi-Spectral Infrared Sensor Array for Wildfire Geo-Location
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Solution Overview
Problem
Current wildfire detection and monitoring systems, relying on custom-engineered opto-mechanical servos and complex sensors, are prone to malfunction, difficult to service, and require manual interpretation for precise location of fire pixels, limiting operational reliability and increasing costs.
Innovation Solution
A target identification and location system utilizing multiple infrared imaging sensors (LWIR, MWIR, SWIR, and VNIR) combined with a positioning system and image data processing, enabling real-time automated geo-location of targets with improved reliability and ease of use, reducing false alarms and allowing day and night operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If custom-engineered opto-mechanical servos and complex sensors are used, then fire detection capability is improved, but system reliability deteriorates and ease of repair worsens
Solution Approach 1:
The patent replaces complex opto-mechanical servo systems with a push-broom scanning architecture that uses no moving parts. The imaging sensor array directly captures ground-track data while the aircraft's natural motion provides the scanning function, eliminating mechanical failure points while maintaining fire detection capability.
Solution Approach 2:
The patent uses multiple imaging sensor arrays (MWIR, LWIR, visible spectrum) that simultaneously capture identical ground scenes. These parallel sensor copies provide redundant detection capability and allow cross-validation of fire signatures, improving reliability without adding mechanical complexity.
2Difficulty of detecting and measuring
If custom-engineered opto-mechanical servos and complex sensors are used, then fire detection capability is improved, but ease of manufacture and servicing deteriorates
Solution Approach 1:
The patent eliminates opto-mechanical servos entirely, replacing them with a static push-broom sensor array. This substitution dramatically simplifies manufacturing by removing precision mechanical components and reduces servicing requirements since there are no moving parts to wear or fail.
Solution Approach 2:
The patent employs a multi-spectral sensor system where the same push-broom architecture handles multiple wavelength bands (MWIR, LWIR, visible). This universal approach consolidates what would otherwise require separate specialized systems, simplifying both manufacturing and field servicing.
3Measurement precision
If line scanning with complex scanning mirror is used, then band to band registration is improved, but device complexity increases and reliability deteriorates
Solution Approach 1:
The patent replaces the single complex scanning mirror with multiple static imaging sensor arrays oriented at different angles. Each sensor array captures data for its specific wavelength band simultaneously, achieving perfect band-to-band registration without mechanical scanning components.
Solution Approach 2:
The patent transitions from temporal scanning (sequential line-by-line acquisition) to spatial parallelism (simultaneous full-field capture). Multiple sensor arrays capture all wavelength bands across the entire ground swath at the same time, eliminating the need for complex temporal-spatial registration algorithms.
4Measurement precision
If manual interpretation is used for fire pixel location, then location precision is improved, but productivity deteriorates
Solution Approach 1:
The patent implements automated fire detection and location systems that process imagery and identify fire pixels without human intervention. The system self-calibrates using the known geometry of the push-broom scanner and aircraft position data, automatically computing precise ground coordinates for detected fires.
Solution Approach 2:
The patent uses feedback from multiple wavelength bands (MWIR, LWIR, visible) to automatically validate and refine fire pixel locations. The system cross-correlates thermal signatures across bands and uses the geometric relationships between simultaneous sensor captures to precisely determine ground-track coordinates without manual interpretation.
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 provides precise location of wildfires with increased detection and monitoring capability, improved operational reliability, lower operating costs, and reduced false alarms, enabling reliable day and night operations.
Implementation Method 1
A target identification and location system in accordance with embodiments of the present invention includes at least three different infrared imaging sensors
Data Source
AI summary
A system and method of identifying and locating one or more targets includes capturing one or more frames and recording position data for each of the frames. Each of the frames comprises a plurality of at least three different types of infrared image data. Each of the targets is identified and a location is provided based on the three different types of captured infrared image data in each of the frames and the recorded position data.


