Transparent TFT LED Detection for Contactless Batch Testing
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Solution Overview
Problem
Current LED detection methods are inefficient and prone to errors due to mechanical movement of probes, which can damage small LEDs and fail to accurately distinguish between normal and abnormal LEDs, leading to incorrect data processing and transfer.
Innovation Solution
A system utilizing a first transparent substrate with separately controlled thin film transistors (TFTs) in one-to-one correspondence with LEDs, a conductive layer, and a sensor to detect light emission, allowing for precise and contactless detection and batch transfer of LEDs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a probe is mechanically moved to energize each LED lamp bead, then detection can be performed on each LED, but detection efficiency is low and the probe may crush extremely small LED lamp beads
Solution Approach 1:
The patent replaces the mechanical probe system with an electrostatic field-based detection system. TFTs generate electrostatic fields to energize LEDs without mechanical contact, eliminating the need for physical probe movement while maintaining detection accuracy and enabling parallel detection of multiple LEDs simultaneously
Solution Approach 2:
The patent divides the detection system into multiple independently controllable TFTs, each corresponding to a specific LED location. This segmentation enables parallel detection of multiple LEDs simultaneously, dramatically improving detection efficiency while maintaining precise control over each detection point
2Productivity
If a probe is used to energize LED lamp beads, then photodetection can be performed, but the probe may cover the luminous area and adversely affect measurement accuracy
Solution Approach 1:
The patent replaces the mechanical probe with an electrostatic field generation system using TFTs. The electrostatic field can penetrate through the transparent substrate to energize LEDs without physically covering or blocking the luminous area, thereby maintaining measurement accuracy while enabling detection
3Reliability
If a transfer machine is used to remove abnormal LED lamp beads, then defective LEDs can be removed, but precise optical alignment is required and wrong data leads to wrong transfer
Solution Approach 1:
The patent creates a direct digital correspondence between TFT locations and LED positions through the transparent substrate coordinate system. This digital mapping eliminates the need for complex optical alignment mechanisms in transfer machines, as the system can directly calculate positions based on stored coordinate data
Solution Approach 2:
The patent replaces the mechanical optical alignment system with a digital coordinate-based positioning system. TFTs and their corresponding LEDs are mapped through coordinate data stored in the system, eliminating the need for precise mechanical-optical alignment while maintaining accurate defective LED identification and transfer
4Measurement precision
If a large quantity of measurement data and transfer data are processed, then comprehensive detection is achieved, but mistakes are likely to occur during detection and data processing
Solution Approach 1:
The patent merges the detection function and data recording function into a single integrated process. As each LED is detected by its corresponding TFT, the results are immediately recorded in correspondence with the TFT location, eliminating separate data processing steps and reducing opportunities for errors
Solution Approach 2:
The system performs self-verification through the direct correspondence between TFT locations and LED positions. The coordinate data stored in the system serves as an automatic reference framework that validates detection results, reducing human error in data processing and interpretation
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
The system enables high-efficiency and accurate detection of LEDs, reducing errors and enabling precise alignment, thus distinguishing normal from abnormal LEDs effectively.
Implementation Method 1
multiple thin film transistors (TFT) disposed on the first transparent substrate and controlled separately, where the multiple TFTs are in one-to-one correspondence with LEDs to-be-detected
Implementation Method 2
a sensor configured to detect whether each of the LEDs emits light normally
Data Source
AI summary
A system for detecting a light-emitting diode (LED) is provided. The system includes a first transparent substrate and multiple thin film transistors (TFT) disposed on the first transparent substrate and controlled separately, where the multiple TFTs are in one-to-one correspondence with LEDs to-be-detected in terms of location.