Infrared Detection Threshold Imaging for Reliable Gas Leak Sensing

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Solution Overview

Problem

Infrared imaging systems face challenges in accurately determining detection thresholds for gas leaks due to varying background conditions, noise, and sensitivity characteristics, which affect the reliability of gas detection.

Innovation Solution

The system captures thermal images, determines temperature difference data, and generates detection threshold images based on sensitivity characteristics, providing a map of detection thresholds for each pixel, allowing users to adjust capture settings for optimal gas detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If detection threshold is determined using temperature differences and sensitivity characteristics, then gas detection capability is improved, but detection accuracy deteriorates due to background modulations and noise

Engineering Contradiction:
Improvegas detection capabilityVSAvoiddetection accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent determines detection thresholds in advance by analyzing temperature differences and sensitivity characteristics under various background conditions and noise levels. This preliminary characterization allows the system to compensate for background modulations and noise during actual gas detection, improving accuracy without sacrificing detection capability

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements a feedback mechanism where detection threshold data is continuously refined based on observed background modulations and noise patterns. The system uses sensitivity characteristics to adjust detection thresholds dynamically, maintaining high detection accuracy while preserving gas detection capability across varying environmental conditions

Inventive Principle:
Principle #23Feedback

2Measurement precision

If detection threshold image is generated for each pixel, then detection sensitivity is improved, but system complexity increases

Engineering Contradiction:
Improvedetection sensitivityVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides the detection process into pixel-level segments, where each pixel in the detection threshold image is independently characterized based on its local temperature differences and sensitivity characteristics. This segmentation enables high detection sensitivity at each pixel while managing overall system complexity through modular processing

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent generates detection threshold images that are digital copies or representations of the actual detection thresholds for each pixel. These threshold images serve as lookup tables or reference data that simplify the detection process, allowing the system to achieve high sensitivity without the computational complexity of real-time calculations for each pixel

Inventive Principle:
Principle #26Copying

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 users to make informed decisions on imaging settings for effective gas detection by providing a detection threshold image, enhancing the accuracy and reliability of gas leak detection.

Implementation Method 1

an infrared imager configured to capture a thermal image of a scene

Methodology Applied
Scientific EffectInfrared radiation detection: Infrared Radiation

Data Source

PatentUS12625004B2Detection threshold determination for infrared imaging systems and methods
Publication Date: 2026.05.12 FLIR SYST AB
  • US12625004B2 patent drawing
  • US12625004B2 patent drawing
  • US12625004B2 patent drawing

AI summary

Techniques are provided for facilitating detection threshold determination for infrared imaging systems and methods. In one example, a method includes capturing, by an imaging device, a thermal image of a scene. The method further includes determining temperature difference data indicative of a difference between temperature data of the thermal image associated with a background of the scene and temperature data of the thermal image associated with gas detection. The method further includes determining detection threshold data based on sensitivity characteristics associated with the imaging device and the temperature difference data. The method further includes generating a detection threshold image based on the detection threshold data. Each pixel of the detection threshold image corresponds to a respective pixel of the thermal image and has a value indicative of a detection threshold associated with the respective pixel of the thermal image. Related devices and systems are also provided.