Koh Young Technology embeds AI into electronics manufacturing inspection, deployed across thousands of production lines worldwide
2026-08-14 16:07
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en.Wedoany.com Reported - Koh Young Technology is embedding artificial intelligence throughout the entire electronics manufacturing inspection process, driving factories from reactive quality control toward predictive process control. This developer of inspection systems based on True 3D measurement deploys AI-driven software products across thousands of production lines globally to analyze 3D measurement data and support manufacturing decisions.

Koh Young's AI solutions cover printing, mounting, inspection programming, and review processes, with core products including KPO Printer, KPO Mounter, KAP Auto Programming, and Smart Review. These tools are independently designed and developed by the company, with underlying computing built on NVIDIA AI infrastructure and utilizing software technologies such as NVIDIA CUDA and NVIDIA TensorRT to meet the real-time processing demands of large-scale 3D measurement data. The algorithm logic, decision rules, and process models are defined by Koh Young based on actual factory operating conditions, and their performance has been validated on mass production lines.

Koh Young has accumulated more than two decades of expertise in the inspection field. Its solder paste inspection (SPI), automated optical inspection (AOI), and dispensing inspection systems all capture complete quantitative data—including height, volume, area, and shape—rather than merely generating simple images. The AI R&D center believes that data quality is the foundation of AI effectiveness, and has therefore designed engines capable of analyzing massive volumes of 3D measurement information in real time, identifying subtle variations undetectable by 2D inspection systems, and providing recommendations for maintaining production stability. GPU acceleration supports data processing speed, while AI logic, decision rules, and process models are developed based on actual factory conditions.

"Our mission has always been to take AI beyond research and make it actionable," said Jeff Lee, Head of Industrial Solutions at Koh Young Technology. "The architecture we built, including GPU acceleration, provides the capability to deploy real-time AI directly on the factory floor, not just in development laboratories."

Inspection programming was once one of the most time-consuming steps in manufacturing, with engineers typically spending hours defining libraries, regions of interest, and test parameters. KAP (Koh Young Auto Programming) automatically generates inspection programs by recognizing component patterns and validating parameters using an ever-expanding internal dataset of 3D measurement results. Koh Young's AI models encapsulate years of application knowledge, enabling the system to configure inspection logic with minimal human input. With GPU acceleration, KAP can evaluate large datasets in a short time while maintaining low cycle times—programming tasks that once took hours are now completed in minutes. As new board types are introduced, KAP continuously learns and improves, reducing redundant work and ensuring consistent quality.

Smart Review focuses on the defect review stage on the production line. This system uses AI models trained by Koh Young to analyze high-resolution 3D inspection data, automatically classifying defect images, distinguishing real issues from false calls, and prioritizing operators' review sequences to reduce reliance on manual verification. GPU acceleration supports fast inference, while the inspection expertise and annotation work that guide classification decisions are provided by Koh Young. The result is a streamlined review process that allows operators to focus on improving processes rather than scrutinizing images.

Koh Young Process Optimizer (KPO) is a suite that applies deep learning to enhance surface mount manufacturing, comprising two modules: Printer and Mounter. Each module targets a different stage of the process while sharing data across the production line to create closed-loop optimization.

KPO Printer monitors the printing stage. The AI models embedded in this module continuously analyze 3D SPI data, detecting trends and predicting changes in real time, identifying root causes such as stencil wear, solder paste viscosity drift, and squeegee pressure imbalance, and automatically adjusting parameters to maintain consistency. Koh Young runs KPO Printer AI on NVIDIA AI infrastructure, leveraging the NVIDIA accelerated computing stack to handle high-intensity AI operations on large volumes of True 3D measurement data. Manufacturers report shortened stabilization periods after product changeovers and reduced rework and scrap rates.

KPO Mounter follows printing optimization by providing continuous feedback through post-placement AOI data, monitoring trends in component offset, rotation, and polarity, and automatically fine-tuning equipment parameters.

This module can simultaneously evaluate data from multiple machines, enabling closed-loop adjustments that rule-based systems cannot achieve. GPU acceleration enables this analysis to occur in near real time, with learning models and decision criteria defined by Koh Young based on field experience. As data accumulates, its adaptive learning accuracy continues to improve, maintaining line stability even under frequent product changeovers. KPO Printer and KPO Mounter work in tandem to form a self-correcting system covering the entire SMT line.

KAP, Smart Review, KPO Printer, and KPO Mounter all rely on GPU computing for scalability and speed. Koh Young uses NVIDIA AI infrastructure and the accelerated computing stack—including NVIDIA CUDA and NVIDIA TensorRT—to handle intensive AI workloads. Its differentiation lies in how it leverages the computing platform: extending it through proprietary industrial algorithms, domain-specific models, and 3D measurement data resources to create solutions tailored to real production conditions.

Koh Young's AI R&D center is expanding AI applications into advanced packaging inspection, semiconductor analysis, and integrated closed-loop systems that connect various stages of the production line. This direction aligns with the industry trend of electronics manufacturing shifting toward interconnected, intelligent production environments. From measurable data to intelligent analysis to automated action, its technology roadmap demonstrates a typical trajectory of the inspection industry evolving from reactive quality verification to proactive process control. By combining True 3D measurement expertise, AI algorithms, and GPU-accelerated platforms, Koh Young provides electronics manufacturers with a comprehensive toolkit for optimizing quality and performance—the essence of which is continuously converting inspection data into actionable process adjustments.

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