Lighting-on Device Probe Alignment via Marker Imaging
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Solution Overview
Problem
The alignment between probes on a lighting-on device and pins on a display panel is complex, leading to malposition, damage to the manipulator, reduced accuracy and stability, increased workload for engineers, and low automation in cell testing processes.
Innovation Solution
A lighting-on device with a movable unit, image acquisition unit, calculation unit, and position adjustment unit that aligns probes with pins using markers, allowing for automated adjustment of positional relationships and reducing manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual alignment method is used to align probes with pins, then device complexity is reduced, but alignment accuracy deteriorates and malposition occurs
Solution Approach 1:
The patent introduces markers as intermediary objects to facilitate alignment. The markers are imaged by an image acquisition device, and their coordinates are used to calculate positional relationships between probes and pins. This intermediary approach enables automated high-precision alignment without requiring direct manual manipulation of probes and pins, thus resolving the contradiction between alignment accuracy and device complexity.
Solution Approach 2:
The patent replaces manual mechanical alignment operations with an automated image-based measurement and calculation system. The image acquisition unit captures marker positions, and a calculation unit determines the actual positional relationships, substituting manual mechanical adjustment with automated optical and computational methods to achieve higher precision.
2Manufacturing precision
If manual alignment adjustment is performed, then alignment accuracy can be improved, but workload for engineers increases and automation is reduced
Solution Approach 1:
The system performs self-alignment by automatically acquiring images of markers, calculating their coordinates, determining positional relationships, and adjusting probe positions without requiring engineer intervention. The automated feedback loop enables the system to self-correct alignment deviations, improving both automation level and alignment accuracy simultaneously.
Solution Approach 2:
The patent implements a feedback mechanism where the image acquisition unit continuously monitors marker positions, the calculation unit computes actual positional relationships, and this information feeds back to the position adjustment unit to correct alignment deviations. This closed-loop feedback system enables automated alignment adjustment, reducing engineer workload while maintaining high precision.
3Reliability
If precise alignment is pursued, then test reliability is improved, but time consumption increases due to manual adjustment
Solution Approach 1:
The patent performs preliminary alignment by pre-positioning markers on the display panel and pre-calculating their theoretical coordinates. During actual testing, the system only needs to compare actual marker positions with pre-established theoretical positions and make minor adjustments, rather than performing time-consuming manual alignment from scratch. This preliminary preparation significantly reduces time consumption while maintaining test reliability.
Solution Approach 2:
The patent replaces time-consuming manual alignment operations with automated image-based measurement and calculation. The image acquisition unit rapidly captures marker positions, and the calculation unit quickly computes alignment status, enabling precise alignment to be achieved in a fraction of the time required for manual adjustment, thus improving test reliability without increasing time consumption.
4Manufacturing precision
If automated position adjustment is implemented, then alignment accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the alignment system into distinct functional modules: an image acquisition unit for capturing marker positions, a calculation unit for computing coordinates and positional relationships, and a position adjustment unit for executing alignment corrections. This modular segmentation allows each component to perform its specific function with high precision while keeping the overall device complexity manageable through clear functional separation.
Data Source
AI summary
The present disclosure provides a lighting-on device and a method for cell test. The lighting-on device includes a movable unit including a first marker; an image acquisition unit configured to acquire an image indicating an actual relative positional relationship between the first marker and a second marker on a display panel; a calculation unit configured to calculate the actual relative positional relationship between the first marker and the second marker according to the image; a first position adjustment unit configured to drive the movable unit so as to adjust the actual relative positional relationship; and a first control unit configured to determine whether the adjusted actual relative positional relationship has been aligned by the first position adjustment unit according to the relative positional relationship between the first marker and the second marker.