Automated Light Source Binding for Camera Color Temperature Testing
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Solution Overview
Problem
Current methods for assessing camera image capturing functions at different color temperatures are labor-intensive and lack accuracy due to the need for manual calibration and selection of light sources.
Innovation Solution
A computer-based method for inspecting and controlling light sources, which classifies and assigns identifiers to light sources of different color temperatures, automatically configures bindings between control devices and light sources, and dynamically adjusts relationships to ensure accurate calibration and image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual calibration and selection of light sources is used, then the inspection process can be performed, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The system enables automatic self-calibration of light sources through computer control. The control device automatically adjusts the light source parameters to standard color temperatures (2800K and 5000K) without requiring manual intervention, thereby reducing both labor intensity and inspection time while maintaining calibration accuracy.
Solution Approach 2:
The patent replaces manual mechanical operations with an automated computer-controlled system. The control device communicates with the light source via digital interfaces, substituting manual calibration procedures with automated electronic control, which eliminates labor-intensive tasks and significantly reduces inspection time.
2Ease of operation
If manual calibration and selection of light sources is used, then the inspection process can be performed, but the inspection results may not be accurate
Solution Approach 1:
The system incorporates automatic feedback mechanisms where the control device monitors the light source output and adjusts parameters in real-time to maintain standard color temperatures. This closed-loop control ensures consistent and accurate calibration results, eliminating the variability inherent in manual calibration processes.
Solution Approach 2:
The patent replaces manual calibration procedures with automated computer-controlled calibration systems. This substitution eliminates human error and subjectivity in calibration decisions, ensuring consistent and accurate inspection results through precise digital control of light source parameters.
3Productivity
If automatic control system is implemented, then labor is reduced and accuracy is improved, but device complexity increases
Solution Approach 1:
The control device is designed with multi-functionality, serving as both the calibration controller and the inspection coordinator. It manages multiple light sources and performs various functions including parameter adjustment, color temperature control, and inspection coordination, thereby reducing the need for separate specialized devices and limiting the increase in overall system complexity.
Solution Approach 2:
The patent introduces a computer-based control device as an intermediary between the operator and the light sources. This intermediary handles all complex calibration and control operations through software, shielding the user from system complexity while maintaining high productivity. The computer acts as a mediator that manages the automated processes without requiring the physical system to be overly complex.
Data Source
AI summary
A method of inspecting and controlling applied to a process of a testing a camera for correct color temperature in image-capturing includes: obtaining a first device identifier of light sources; obtaining a second device identifier of control devices; wherein each control device governs the opening or closing of a light source; associating the first device identifiers with each second device identifier, and generating a binding list; obtaining the second device identifier corresponding to a camera device; comparing the second device identifier corresponding to the camera device with the binding list, and recording the corresponding first device identifiers; wherein the camera device takes pictures under the light source corresponding to the first device identifiers to obtain image for analysis and analyzing whether image-capturing function of the camera is normal. A computer device and a storage medium for performing the above-described method are also disclosed.