Infrared Camera Heat Image Alignment for Casting Die Temperature Measurement
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Solution Overview
Problem
Conventional temperature measurement techniques using difference images struggle with reliability due to variations in imaging fields-of-view and positional shifts between the measurement object and the infrared camera, making it difficult to obtain high-accuracy difference images, especially when the object moves or the camera's field-of-view changes.
Innovation Solution
A temperature measuring device and method that involves choosing feature points from both the measurement and reference heat images, performing image processing such as rotation, sliding, enlarging, or reducing to align these points, and generating a corrected heat image to ensure accurate superimposition and generate a reliable difference image, even when imaging fields-of-view differ.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the infrared camera is fixed immovably to the structure and the object is kept at constant distance and posture, then the reliability of the difference image is improved, but the device complexity and operation difficulty increase
Solution Approach 1:
The patent applies preliminary action by detecting feature points in advance and storing their coordinates before the actual measurement. The reference heat image is captured and processed beforehand to establish a reference frame. This allows the system to compensate for positional shifts during measurement without requiring complex fixed mounting mechanisms, thus improving reliability while reducing device complexity.
Solution Approach 2:
The patent implements feedback by continuously detecting feature points in the heat image and comparing their coordinates with the stored reference coordinates. Based on this comparison, the system automatically calculates correction amounts and adjusts the superposition of heat images in real-time. This feedback mechanism ensures accurate alignment without requiring complex mechanical constraints, resolving the contradiction between reliability and device complexity.
2Measurement precision
If the infrared camera is removed from fixing structure for calibration, then the measurement precision is improved, but the reliability of difference image deteriorates due to field-of-view shift
Solution Approach 1:
The patent applies preliminary action by capturing the reference heat image and detecting feature point coordinates before the actual measurement process. This reference data is stored and used during measurement to compensate for any field-of-view shifts that may occur during calibration or repositioning. This allows the system to maintain measurement precision while preserving the reliability of difference images even when the camera is removed from its fixing structure.
Solution Approach 2:
The patent implements feedback by detecting feature points in the heat image and comparing their coordinates with the pre-stored reference coordinates. This comparison provides real-time information about positional and rotational shifts, allowing the system to automatically correct for field-of-view changes during calibration without affecting the reliability of subsequent difference image measurements.
3Adaptability or versatility
If the object moves three-dimensionally against the picking up device, then the adaptability is improved, but the measurement precision deteriorates due to difficulty in superimposing images
Solution Approach 1:
The patent applies preliminary action by pre-detectoring and storing feature point coordinates from the reference heat image before measurement. This reference coordinate data is then used during measurement to calculate correction amounts for objects that may move three-dimensionally. The system can adapt to various object positions and orientations while maintaining measurement precision through automatic coordinate-based alignment, resolving the contradiction between adaptability and measurement precision.
Solution Approach 2:
The patent implements feedback by continuously detecting feature points in the heat image and comparing their coordinates with the stored reference coordinates. This feedback loop automatically calculates the degree of displacement and rotation, enabling the system to adapt to three-dimensional object movements while maintaining accurate superposition and measurement precision through real-time correction.
4Adaptability or versatility
If the imaging field-of-view changes, then the adaptability is improved, but the reliability of difference image deteriorates due to superposition difficulty
Solution Approach 1:
The patent applies preliminary action by capturing the reference heat image and detecting feature point coordinates before measurement. This reference data is stored and used during measurement to compensate for field-of-view changes. The system can adapt to varying imaging fields while maintaining the reliability of difference images through automatic coordinate-based alignment and correction, resolving the contradiction between adaptability and reliability.
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
This approach allows for the generation of high-reliability difference images, facilitating accurate temperature measurement and quality assessment of objects like casting molds, even under conditions of positional or rotational changes, without requiring precise calibration or constant object-camera alignment.
Implementation Method 1
picking up the heat image of the object
Data Source
AI summary
Feature points (41, 42, 43) in the heat image (10) of a casting die (1) are extracted and a predetermined geometrical conversion processing is performed on the heat image (10) such that the feature points are superimposed on the reference feature points (61, 62, 63) set in a reference heat image (30) picked up previously to generate a corrected heat image (20). A difference image (40) is generated by superimposing the corrected heat image (20) and the reference heat image (30) such that the corrected feature points (51, 52, 53) in the corrected heat image (20) is superimposed on the corresponding reference feature points (61, 62, 63). With such an arrangement, a highly reliable difference image can be generated even when the imaging field of vision slips off among a plurality of heat images.