Display Panel Image Acquisition With Automatic Focus Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current display panel production processes face inefficiencies due to the need for manual adjustments to capture clear images of reflective objects, consuming labor and reducing production efficiency.
Innovation Solution
An image acquisition system with a control device, object loading device, and image acquisition device that automatically adjusts the position and angle of the loading device and image acquisition device based on real-time image signals to achieve a preset definition threshold, using components like cameras, lenses, and light sources, and 3D motors to ensure clear image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual debugging is used to enable the optical platform to capture a clear image of the display panel, then image quality can be improved, but labor costs increase and production efficiency decreases
Solution Approach 1:
The system uses the display panel itself as the focusing target. The optical platform automatically captures images and the system automatically adjusts focusing parameters based on the captured images, eliminating the need for manual debugging. The display panel's own reflective surface serves as the reference for automatic focusing calibration.
Solution Approach 2:
The patent replaces manual mechanical debugging with an automated optical-electrical system. The optical platform captures images and the control system processes these images to automatically determine optimal focusing parameters, substituting human operators with automated image processing and control algorithms.
2Measurement precision
If manual debugging is performed repeatedly to capture clear images of reflective objects, then image definition can be improved, but time consumption increases
Solution Approach 1:
The system implements a feedback loop where the optical platform continuously captures images of the display panel, the control system analyzes these images to assess focusing quality, and automatically adjusts focusing parameters based on the analysis results. This closed-loop feedback enables rapid convergence to optimal focus without manual intervention.
Solution Approach 2:
The system performs preliminary automatic focusing calibration by capturing initial images and analyzing them to determine optimal focusing parameters before actual production inspection begins. This preliminary action establishes the correct focusing state in advance, eliminating the need for repeated debugging during production.
3Measurement precision
If the optical platform is used to inspect reflective objects like display panels, then inspection accuracy can be improved, but the complexity of manual adjustment increases
Solution Approach 1:
The system uses the display panel's own surface as the automatic focusing target. The optical platform captures images of the panel itself, and the control system automatically processes these images to determine optimal focusing parameters, making the system self-calibrating without requiring external reference objects or complex manual adjustment procedures.
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
Automated adjustment of the system components ensures quick and efficient capture of clear images, reducing labor costs and improving production efficiency by minimizing manual intervention.
Implementation Method 1
for inspected objects that are reflective and difficult to be focused on
Data Source
AI summary
In the technical field of display devices, there is a problem of low efficiency in image appearance inspection during the processing process of a display panel. In view of this, provided is an image acquisition system, comprising: a control device, an object loading device and an image acquisition apparatus. The control device is used for obtaining a target value of displacement between the object loading apparatus and the image acquisition apparatus according to an image signal, generating a control command, which carries the target displacement value, and then sending the control command to at least one of the object loading device and the image acquisition apparatus; and at least one of the object loading apparatus and the image acquisition apparatus moves according to the control command, until the definition of the image signal received by the control device in real time is greater than a preset definition threshold value.