Indoor Image Sensor Evaluation with Robotic Lighting Simulation
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Solution Overview
Problem
Existing image quality evaluation methods and devices are limited in evaluating the image quality of an image sensor under various outdoor conditions, requiring time-consuming and costly outdoor testing and often being hindered by bad weather.
Innovation Solution
An indoor image quality evaluation system featuring an imaging robot, an indoor studio with adjustable lighting, and a management server that controls the robot and lighting to simulate various outdoor conditions, allowing for one-stop image capture and evaluation without changing locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image quality evaluation is conducted outdoors under various conditions, then the evaluation comprehensiveness is improved, but the time consumption and costs increase significantly
Solution Approach 1:
The patent creates a virtual copy of outdoor imaging environments through computer-generated imagery (CGI) and rendering techniques. Instead of physically traveling outdoors to capture test images under various conditions, the system generates synthetic images that replicate diverse outdoor scenarios (different lighting, weather, times of day) and uses these for image sensor evaluation, thereby eliminating time-consuming field trips while maintaining evaluation comprehensiveness
Solution Approach 2:
The system pre-generates a comprehensive library of reference images covering various outdoor conditions (different illuminations, weather conditions, times of day) before the actual evaluation process. These pre-prepared reference images are stored and can be immediately used for comparison during evaluation, eliminating the need to conduct time-consuming outdoor shoots for each evaluation instance
2Adaptability or versatility
If image quality evaluation is conducted outdoors, then various imaging conditions can be tested, but the evaluation reliability is reduced due to weather conditions
Solution Approach 1:
The system replaces unreliable outdoor environments with controlled virtual copies. Synthetic images generated through rendering provide consistent, repeatable representations of various outdoor conditions without being affected by actual weather variability. The same virtual scene can be reproduced indefinitely with identical parameters, ensuring reliable and consistent evaluation results across different evaluation sessions
Solution Approach 2:
The system systematically varies parameters such as illumination intensity, color temperature, weather conditions, and time of day in the virtual environment to simulate diverse outdoor imaging conditions. By controlling these parameters digitally rather than relying on natural outdoor variations, the system achieves both condition diversity and evaluation reliability simultaneously
3Adaptability or versatility
If experimenters travel outdoors to capture images for evaluation, then various subjects can be imaged, but the costs and time requirements increase
Solution Approach 1:
The system uses computer-generated 3D models and virtual scenes to represent various subjects and environments. Instead of physically traveling to capture images of different subjects outdoors, the system renders virtual images of diverse subjects (buildings, landscapes, objects) with varying properties, achieving subject variety without the productivity loss associated with field travel and setup
Data Source
AI summary
An indoor image quality evaluation system includes an imaging robot on which an image sensor to be evaluated is mounted and which autonomously travels, an indoor studio having a circulation path on which the imaging robot moves, subjects arranged along the circulation path, an adjustable light configured to provide different imaging environments for the subjects, and a management server configured to control the imaging robot, the adjustable light, and the image sensor.