Panoramic Infrared Thermography with Spatial Non-Uniformity Correction
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Solution Overview
Problem
Infrared cameras suffer from spatial non-uniformity and instability due to lens parasitic flux, leading to inaccurate temperature measurements, especially in panoramic views, and lack effective mechanisms for uniformity correction.
Innovation Solution
An infrared thermographic system with a processing module that corrects spatial non-uniformity by subtracting and averaging pixel-by-pixel non-uniformity, using a near-field infrared reference source for calibration, and incorporates visible light imaging for precise temperature determination and alert generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If an internal shutter is used to correct camera instability, then gain stability is improved, but spatial uniformity deteriorates due to lens parasitic flux compensation failure
Solution Approach 1:
The patent extracts the non-uniformity correction function from the internal shutter mechanism and implements it through a separate processing module that uses reference images. This separates the gain stabilization function (maintained by the internal shutter) from the spatial uniformity correction function (implemented through reference image processing), allowing both functions to operate independently and effectively without interfering with each other.
Solution Approach 2:
The patent implements feedback by continuously capturing reference images of a uniform scene and using these references to dynamically correct spatial non-uniformity in the main images. The processing module compares current reference images with stored reference images and adjusts corrections accordingly, creating a closed-loop system that adapts to changing conditions and maintains both stability and uniformity.
2Device complexity
If a fixed field of view infrared camera is used, then device complexity is reduced, but measurement accuracy deteriorates in panoramic views due to spatial non-uniformity
Solution Approach 1:
The patent makes the simple fixed FOV camera multi-functional by enabling it to capture panoramic views through sequential imaging while maintaining measurement accuracy through reference image correction. The same camera hardware serves both fixed-view and panoramic functions, with the processing module adapting its correction algorithms based on the imaging mode, thus avoiding the need for complex panoramic cameras while achieving accurate measurements.
Solution Approach 2:
The patent performs preliminary correction by capturing reference images of a uniform scene before processing the main thermal images. These reference images are used to pre-calculate spatial non-uniformity corrections that are then applied to the main images, ensuring accurate temperature measurements are achieved before any analysis is performed on the thermal data.
3Manufacturing precision
If reference images are captured for non-uniformity correction, then spatial uniformity is improved, but productivity decreases due to additional imaging time
Solution Approach 1:
The patent implements periodic action by capturing reference images at regular intervals between main thermal images. The reference images are captured periodically to track temporal variations in non-uniformity, allowing the system to maintain correction accuracy over time without requiring continuous reference imaging, thus balancing productivity with precision.
Solution Approach 2:
The patent uses copying by creating a digital copy of the uniform scene through reference images, which are then used to generate correction maps for the main images. This copying approach allows the system to separate the reference capture process from the main imaging process, enabling reference images to be captured efficiently and reused for multiple corrections without repeating the entire reference capture sequence for each main image.
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
Improves temperature measurement accuracy and uniformity across panoramic views by correcting spatial non-uniformity and providing reliable alerts, enhancing applications such as fever detection and industrial process monitoring.
Implementation Method 1
a thermal infrared image sensor (1) arranged to collect infrared radiation and construct at least one image from this radiation
Implementation Method 2
temperature detection of an object
Implementation Method 3
The processing module (6) is arranged and/or programmed to correct spatial non-uniformity by subtracting, pixel by pixel, on each of the acquired images, the spatial non-uniformity of the reference image
Implementation Method 4
a near-field infrared reference source (7)... At least one of the distinct images in each panorama images this non-uniformity correction source
Data Source
Figure 1~2

AI summary
Infrared thermographic system configured to detect the temperature of an object (11), comprising: an infrared thermal imaging sensor (1) arranged to collect infrared radiation and construct at least one image from said radiation, - a drive support unit (2) arranged to rotate the sensor around an axis of rotation, the imaging sensor (1) being attached to the drive support unit (2) such that upon rotation of the drive support unit (2), the imaging sensor captures separate areas surrounding the thermographic system, the imaging sensor (1) being arranged to acquire a plurality of separate images such that the combination of said different images forms a continuous panorama of at least 180 degrees about the axis of rotation of the drive support unit (2), - a processing module (6) arranged and/or programmed to determine temperature data of the object (11) from the images acquired by the imaging sensor (1).