Expand intelligent control and machine vision technology to the biopharmaceutical and daily chemical industries, and provide automated packaging, online inspection and production line integration solutions.Relying on precision motion control and vision algorithms, it helps customers achieve efficient and compliance production, and improves product quality and production line intelligence.
Expand intelligent control and machine vision technology to the biopharmaceutical and daily chemical industries, and provide automated packaging, online inspection and production line integration solutions.Relying on precision motion control and vision algorithms, it helps customers achieve efficient and compliance production, and improves product quality and production line intelligence.
Biopharma and cosmetics packaging still relies heavily on manual or fragmented semi-automated processes, resulting in inconsistent sealing, labeling errors, and dosage inaccuracies that threaten product safety and regulatory compliance.
High-speed packaging lines in biopharma and cosmetics lack integrated machine vision systems for real-time defect detection, allowing packaging anomalies, contamination, and label defects to escape detection until costly downstream quality checks.
Biopharma and cosmetics production requires seamless integration of filling, sealing, labeling, inspection, and serialization equipment, yet standard automation vendors lack the cross-domain control system integration expertise to deliver compliant, validated turnkey solutions.
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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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