Lensless Infrared Camera Housing Temperature Estimation
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Solution Overview
Problem
Lensless infrared cameras face challenges in accurately estimating housing temperature due to the influence of radiated light from the housing, leading to noise in imaging results and increased costs and complexity from requiring dedicated measurement devices for calibration.
Innovation Solution
A temperature estimation device that acquires images using an infrared light sensor, corrects them with pre-calculated correction parameters, and estimates housing temperature based on luminance non-uniformity in the corrected images, minimizing the need for dedicated measurement devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a dedicated measurement device is provided to measure housing temperature, then temperature measurement accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The infrared camera uses its own imaging function to estimate housing temperature. The photographing section captures images of the housing, and the estimating section processes these images to determine temperature, allowing the device to self-measure without external equipment.
Solution Approach 2:
The photographing section serves dual purposes: capturing external scene information for imaging and capturing housing information for temperature estimation. This multi-functionality eliminates the need for separate dedicated measurement devices.
2Manufacturing precision
If temperature calibration is performed in advance, then imaging accuracy is improved, but the system cannot adapt to temperature changes during operation
Solution Approach 1:
Temperature calibration is performed in advance during manufacturing to establish baseline correction parameters. These pre-calculated parameters are stored and applied during operation to correct for temperature effects, combining preliminary calibration with operational adaptability.
Solution Approach 2:
The system continuously monitors housing temperature through image processing and uses this feedback to dynamically adjust corrections. The estimating section provides real-time temperature information that feeds back into the correction process, enabling adaptation to temperature changes during operation.
3Device complexity
If radiated light from housing is not corrected, then device complexity is reduced, but noise and imaging errors increase
Solution Approach 1:
The patent introduces an intermediary processing approach where the housing temperature estimation and correction algorithms act as mediators between the raw sensor data and final images. This software-based intermediary approach corrects radiated light effects without requiring additional physical hardware.
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 accurate housing temperature estimation without additional hardware, simplifying the camera configuration and stabilizing image acquisition by reducing the influence of housing radiated light.
Implementation Method 1
The infrared camera performs imaging by capturing infrared light radiated from a subject
Implementation Method 2
the lensless camera has a characteristic that an influence of radiated light from a housing is large
Data Source
AI summary
A temperature estimation device (100) is provided with: an acquiring section (131) that acquires a photographed image photographed by a photographing section (110) including an infrared light sensor and a housing; a generating section (132) that corrects the photographed image with use of a correction parameter and a temporarily set temperature of the housing to generate a corrected image of the photographed image, the correction parameter that is calculated by prior temperature calibration with respect to the photographing section (110); and an estimating section (135) that estimates a temperature of the housing on the basis of non-uniformity of luminance values of pixels included in the corrected image.