Indoor Image Sensor Evaluation Using Master Image Matching
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Solution Overview
Problem
Existing image quality evaluation methods for image sensors require extensive outdoor testing, leading to increased time and costs, and are often hindered by bad weather conditions.
Innovation Solution
An indoor image quality evaluation method using an imaging robot equipped with an image sensor, which autonomously travels within an indoor studio, captures master images, adjusts the field of view and illumination to match outdoor conditions, and evaluates image quality by comparing captured images to master images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image quality evaluation is carried out outdoors using existing methods, then the evaluation can be performed under natural outdoor conditions, but it requires extensive time and costs, and is hindered by bad weather conditions
Solution Approach 1:
The patent creates a virtual copy of outdoor imaging scenarios by capturing master images outdoors and reproducing their illumination conditions, field of view, and subject arrangements indoors. This allows the image sensor to be evaluated under replicated outdoor conditions without actually going outdoors, thus saving time while maintaining evaluation reliability.
Solution Approach 2:
The patent performs preliminary outdoor photography to capture master images that document the imaging scenario, including subject positions, field of view, and illumination conditions. These master images are then used to reconstruct the same scenarios indoors, eliminating the need for repeated outdoor trips and enabling efficient indoor evaluation.
2Adaptability or versatility
If image quality evaluation is carried out outdoors, then natural outdoor imaging conditions can be utilized, but costs and time requirements increase significantly
Solution Approach 1:
The system copies outdoor imaging scenarios by capturing master images that encode scene geometry, illumination, and subject arrangements. These scenarios are then reproduced indoors using the stored master images to guide robot positioning and illumination setup, enabling versatile outdoor condition simulation without the productivity loss of repeated outdoor travel.
Solution Approach 2:
The master image serves as an intermediary that carries information about outdoor imaging conditions. By using the master image as a reference, the system can reproduce outdoor scenarios indoors through automated robot navigation and illumination control, bridging the gap between outdoor adaptability requirements and indoor evaluation efficiency.
3Measurement precision
If multiple imaging scenarios are evaluated outdoors, then comprehensive image quality assessment can be performed, but the process requires repeated travel and location changes
Solution Approach 1:
The system performs preliminary outdoor photography to capture multiple master images representing different imaging scenarios. These master images are stored and used as templates for indoor reproduction. The robot autonomously navigates to predetermined positions and reproduces each scenario using the stored master images as references, enabling comprehensive multi-scenario evaluation without repeated outdoor travel.
Solution Approach 2:
Multiple outdoor imaging scenarios are copied by capturing master images for each scenario and reproducing them sequentially indoors. The robot arm adjusts the image sensor's field of view to match each master image, and illumination conditions are replicated based on the stored reference data, enabling accurate multi-scenario evaluation with simplified operations.
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 method significantly reduces time and costs associated with image quality evaluation, allows for evaluation regardless of weather conditions, and enables one-stop image capture and evaluation without changing locations.
Implementation Method 1
An image sensor is a sensor configured to convert light indicating image information input to a camera lens into a digital signal
Data Source
AI summary
An indoor image quality evaluation method includes A) setting an imaging scenario and capturing a master image, B) moving an imaging robot to an imaging position of the master image, C) matching the field of view of an image sensor S to the field of view of the master image, D) adjusting an imaging environment for a subject by using an adjustable light, E) capturing an image to be evaluated, by using the image sensor S, and F) evaluating the image to be evaluated by determining whether the image is of acceptable or unacceptable quality based on a degree of similarity between the image to be evaluated and the master image.