KPO PRINTER

AI-powered Koh Young Process Optimizer (KPO) for Printer

With increasing component miniaturization, improving inspection quality, and increasing inspection system throughput programming is paramount in the manufacturing industry. These needs are increasingly fulfilled with more computational power, which then yields even better inspection solutions. Artificial Intelligence(AI) can help machines continuously learn and solve new problems. Harnessing the power of its own AI solution, Koh Young has developed Koh Young Process Optimizer (KPO) solution.

Koh Young Process Optimizer (KPO) solution for Printer includes three interlinking modules that exercise complex algorithms to develop process recommendations:

KPO PRINTER

Printer Diagnosis

Detects printer anomaly issues to improve process quality and reduce change over time.​

Printer Advisor

Automatically performs DOEs designed to perform a detailed SPI result analysis using advanced diagnostic algorithms and noise filtering models, and then recommends the ideal print parameters.

Optimization

Optimizes process quality by monitoring & checking the printer’s quality and by fine-tuning offset, cleaning cycle, and process parameter.

Make us your preferred supplier of operational technology in the Americas and beyond.

KSMART

KPO PRINTER

KPO MOUNTER

KSMART Solutions: Koh Young's Smart Factory Solutions

Koh Young has pioneered true 3D measurement technology making it the most advanced equipment of its kind. We’ve been working with printer and mounter partners to achieve total communication and streamline the surface mount line to realize a zero-defect future. Our ability to generate reliable measurement data has given rise to our industry-leading, measurement-based KSMART analysis and optimization solutions. With quality control capabilities and a full lineup of integrated inspection systems, KSMART ties everything together: SPI, AOI and production machines with AI powered production analysis for fully-automated control that boosts productivity while minimizing costs.