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Custom Non-Standard Automation

Focus on the customization of non-standard automation equipment, and provide one-stop services from program design, precision manufacturing to commissioning and delivery.Relying on the core technologies of light, machine, electricity and machine vision, it flexibly meets the needs of diverse processes and helps customers realize the intelligent upgrading of production lines.

Custom Non-Standard Automation

Focus on the customization of non-standard automation equipment, and provide one-stop services from program design, precision manufacturing to commissioning and delivery.Relying on the core technologies of light, machine, electricity and machine vision, it flexibly meets the needs of diverse processes and helps customers realize the intelligent upgrading of production lines.

Solve the following pain points of non-standard automation

Standard Equipment Vendors Unable to Address Proprietary Process Requirements

Manufacturers with unique, proprietary processes find that standard automation equipment cannot accommodate specialized workflows, unconventional materials, or custom product geometries, forcing costly process compromises or abandoned automation initiatives.

Fragmented Project Execution Across Mechanical, Electrical, Control, and Vision Disciplines

Custom automation projects require seamless integration of optics, mechanics, electronics, and machine vision, yet clients forced to coordinate multiple specialized vendors face integration failures, interface incompatibilities, and prolonged commissioning cycles.

Lack of End-to-End Turnkey Capability from Design Through Commissioning

Many equipment suppliers deliver hardware without assuming responsibility for system debugging, process optimization, and production validation, leaving clients with incomplete solutions that fail to achieve designed capacity and ROI targets.

AI visual inspection

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.

Intelligent defect classification

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.

Online precision measurement

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.

Data interconnection and traceability

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.

Production insights

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.

Cost optimization

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.

Intelligent operation and maintenance service

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.

Human efficiency improvement

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.

AI visual inspection

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.

Intelligent defect classification

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.

Online precision measurement

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.

Data interconnection and traceability

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.


Production insights

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.

Cost optimization

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.

Intelligent operation and maintenance service

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.

Human efficiency improvement

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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