Sequential Marker Placer for IR Camera Temperature Analysis
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Solution Overview
Problem
Current infrared (IR) camera systems require lengthy and cumbersome processes for marking and analyzing objects, which are inefficient, especially in hazardous environments where speed and accuracy are critical and user interaction is difficult due to protective gear or time constraints.
Innovation Solution
A method allowing users to mark objects in an IR image with a single action, such as pressing a button or touching a screen, enabling quick and reliable measurement of temperature differences between markers or reference values, with optional external data analysis for more complex calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a multi-step marker placement process is used, then measurement precision is improved, but operation time increases and ease of operation deteriorates
Solution Approach 1:
The system performs preliminary actions by automatically detecting objects and pre-positioning markers on detected objects before the user finalizes the measurement. This preliminary automatic marker placement eliminates the need for manual multi-step marker positioning, thereby reducing operation time while maintaining measurement precision through subsequent user confirmation.
Solution Approach 2:
The system serves itself by automatically detecting objects, calculating their parameters, and placing markers without requiring extensive user intervention. The camera system autonomously performs object detection and marker positioning, reducing the operational burden on the user while maintaining accurate temperature measurements through automatic parameter calculation.
2Reliability
If protective equipment is worn in hazardous environments, then safety is improved, but ease of operation deteriorates
Solution Approach 1:
The camera system performs self-service by automatically detecting objects, calculating parameters, and placing markers without requiring complex user interactions. This automation allows users wearing protective equipment to operate the camera with minimal manual input, thereby maintaining safety while overcoming the dexterity limitations imposed by protective gear.
Solution Approach 2:
The system replaces manual mechanical operations (manual marker placement, manual object selection) with automated electronic processing (automatic object detection, automatic parameter calculation). This substitution eliminates the need for precise manual manipulations that are difficult when wearing protective equipment, while maintaining measurement accuracy through automated systems.
3Measurement precision
If images are saved for later analysis, then measurement precision is improved, but productivity deteriorates
Solution Approach 1:
The camera system performs self-service by automatically calculating temperature parameters and generating measurement results directly at the time of capture. This immediate automatic analysis eliminates the need to save images for subsequent manual analysis, providing precise temperature measurements in real-time and thereby maintaining both measurement precision and high productivity.
Solution Approach 2:
The system performs preliminary analysis by automatically calculating temperature parameters and generating measurement results at the moment of image capture. This preliminary automatic processing provides immediate measurement data without requiring later analysis steps, thereby delivering precise measurements quickly and maintaining high productivity while ensuring measurement accuracy.
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 efficient and accurate marking and analysis of objects in IR images, allowing for immediate on-site measurements or later analysis, improving operational speed and safety in challenging environments.
Implementation Method 1
The use of thermal or infrared (IR) images for determining parameters, often a temperature, of an object is well-known in the art. Often, an IR camera is used at a location where a plurality of objects are present, and by capturing images of said objects their individual temperatures can be determined from the resulting image or images.
Data Source
AI summary
A method for marking and analyzing at least one object in an IR image, for an embodiment, comprises receiving an image of an object scene comprising at least one object, receiving a first input control signal indicating pixel coordinates of a first selected object scene portion, locking a first marker of a camera on a first object region corresponding to said pixel coordinates in said object scene in response to said first input control signal, wherein said input control signal is generated by a user activating an input means by a single action. The invention for various embodiments also relates to an IR camera, a computer program product and an image processing system comprising such an IR camera.