Focus on the flat panel display (TFT/OLED/LCD) industry, mainly engaged in high-precision testing equipment and automatic film coating solutions.Relying on more than ten years of optical electromechanical and vision technology, the products cover all aspects of the display module, serve a number of head panel manufacturers, and obtain CE certification to help improve yield and reduce costs.
Focus on the flat panel display (TFT/OLED/LCD) industry, mainly engaged in high-precision testing equipment and automatic film coating solutions.Relying on more than ten years of optical electromechanical and vision technology, the products cover all aspects of the display module, serve a number of head panel manufacturers, and obtain CE certification to help improve yield and reduce costs.
Display module production involves multiple inspection stages, yet conventional systems lack unified optical-electrical-mechanical integration, causing inconsistent detection standards, missed micro-defects, and fragmented quality data that erode overall yield.
Manual or semi-automated cover film application in TFT/OLED/LCD manufacturing cannot achieve the micron-level precision required for ultra-thin films, resulting in bubbles, edge lifting, and alignment errors that degrade display reliability and increase rework.
Traditional inspection equipment generates massive image data but lacks integrated big data analytics and industrial IoT capabilities, preventing manufacturers from shifting from reactive defect detection to predictive quality optimization.
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The assembly line has a built-in deep learning vision system, which captures defects such as PIN offset, warped feet, missed insertion, and virtual welding in real time, distinguishes between subtle process deviations and real defects, and the detection speed is not reduced by the addition of AI.
Traditional defect classification relies on manual re-judgment.The AI audit system of the PIN intelligent assembly line can automatically learn and adapt, quickly classify and grade defects, reduce misjudgment without slowing down the production line.
The assembly line integrates a high-precision measurement module to accurately measure PIN height, coplanarity, spacing and solder joint morphology.AI-driven contour modeling improves measurement accuracy and reliability, and helps manufacturers control process fluctuations.
AI fully interconnects the various stations, testing equipment and MES systems of the assembly line, drives cross-system data fusion and analysis, and generates real-time process response prediction, dynamic beat optimization, and intelligent production scheduling.
PREV
NEXT
The massive amount of data in the manufacturing process is analyzed in real time through the AI system to gain insight into trend deviations and abnormal patterns, provide full-link traceability, and promote continuous improvement and yield improvement.
AI migrates image processing and data computing to edge GPUs, reducing the hardware cost of traditional industrial computers, while improving computing power density and response speed.
The global service team uses AI predictive maintenance to identify equipment abnormalities in advance and provide customers with faster remote diagnosis and on-site support.
From process programming to daily operation and maintenance, AI automates and optimizes processes in all aspects to improve the efficiency and production capacity of engineers and operators.
PREV
NEXT
The assembly line has a built-in deep learning vision system, which captures defects such as PIN offset, warped feet, missed insertion, and virtual welding in real time, distinguishes between subtle process deviations and real defects, and the detection speed is not reduced by the addition of AI.
Traditional defect classification relies on manual re-judgment.The AI audit system of the PIN intelligent assembly line can automatically learn and adapt, quickly classify and grade defects, reduce misjudgment without slowing down the production line.
The assembly line integrates a high-precision measurement module to accurately measure PIN height, coplanarity, spacing and solder joint morphology.AI-driven contour modeling improves measurement accuracy and reliability, and helps manufacturers control process fluctuations.
AI fully interconnects the various stations, testing equipment and MES systems of the assembly line, drives cross-system data fusion and analysis, and generates real-time process response prediction, dynamic beat optimization, and intelligent production scheduling.
The massive amount of data in the manufacturing process is analyzed in real time through the AI system to gain insight into trend deviations and abnormal patterns, provide full-link traceability, and promote continuous improvement and yield improvement.
AI migrates image processing and data computing to edge GPUs, reducing the hardware cost of traditional industrial computers, while improving computing power density and response speed.
The global service team uses AI predictive maintenance to identify equipment abnormalities in advance and provide customers with faster remote diagnosis and on-site support.
From process programming to daily operation and maintenance, AI automates and optimizes processes in all aspects to improve the efficiency and production capacity of engineers and operators.
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