Koh Young Webinar: AI-Driven Inspection and Process Optimization for SMT Manufacturing Resilience

Koh Young to Demonstrate On-Premise AI Inspection Solutions in May 20 Webinar

Koh Young, a leading provider of 3D inspection solutions for electronics manufacturing, has announced a webinar titled “From Quality to Resilience: How Data-Driven Transparency Ensures Delivery Capability,” scheduled for May 20, 2026. The session will showcase how AI-supported inspection and process optimization can improve production transparency, manufacturing resilience, and on-time delivery — without requiring sensitive production data to leave the factory floor.

The webinar targets process engineers, production leaders, quality managers, and manufacturing teams using inspection data to improve SMT line stability, traceability, and decision-making in sectors including medical technology, avionics, and defense electronics.

On-Premise AI: A Growing Trend in Electronics Manufacturing

A key theme of the webinar is the deployment of AI processing capabilities directly on inspection machines or local line servers, rather than in cloud environments. This approach addresses a critical concern for defense, medical, and automotive electronics manufacturers who cannot transmit production data to external systems due to regulatory requirements or IP protection policies.

“Manufacturers do not need AI as a separate concept. They need practical tools that help them understand what is happening on the line, respond faster to process variation, and keep production moving,” said Axel Lindloff, Senior Process Specialist Pre-Sales at Koh Young Europe GmbH.

“By using process data closer to the machine and within the factory environment, manufacturers can improve transparency while keeping sensitive production information under their control,” Lindloff added.

Webinar Learning Objectives

The session will cover practical implementation of AI-enhanced inspection across the SMT production line:

1. On-premise AI processing — Deploy inspection intelligence at the machine or line-server level without cloud data transfer
2. Process variation detection — Use 3D inspection data to identify drift before it produces defects
3. Connected inspection systems — Link SPI (solder paste inspection), AOI (automated optical inspection), and process control for closed-loop optimization
4. Production resilience — Maintain quality and delivery capability through data-driven decision support

Koh Young’s AI Inspection Ecosystem

The webinar will reference Koh Young’s integrated technology portfolio:

• 3D SPI systems — Measure solder paste volume, height, area, and offset in real-time
• 3D AOI platforms — Inspect component placement, solder joint quality, and tombstoning
• AI-assisted programming — Reduce inspection recipe creation time by learning from good boards
• KSmart process analytics — Correlate SPI and AOI data for root cause analysis
• KSMART Connected Factory — Link multiple inspection points for line-level intelligence

The combination of pre-reflow paste inspection with post-reflow solder joint inspection enables predictive quality control — identifying paste printing issues that will cause defects before the expensive reflow step occurs.

Industry Significance: Edge AI in Manufacturing

The trend toward on-premise (edge) AI processing in electronics manufacturing reflects broader industry dynamics:

• Data sovereignty requirements in ITAR-controlled and defense manufacturing
• Latency requirements — Real-time process correction cannot wait for cloud round-trips
• Bandwidth constraints — 3D inspection generates gigabytes of measurement data per shift
• Regulatory compliance — IEC 62443 and industry-specific cybersecurity standards limit data flow

For PCB assembly operations, edge AI enables the next generation of adaptive manufacturing: inspection systems that not only detect defects but automatically adjust upstream process parameters (stencil printer pressure, placement offset calibration, reflow profile zones) to prevent defect formation.

AtlasPCB Perspective

AI-driven inspection directly impacts the quality assurance capabilities that our assembly partners deliver on AtlasPCB-manufactured boards. When our customers specify [BGA void analysis]/blog/bga-xray-void-analysis-inspection-ipc-7095/) or [IPC Class 3 workmanship]/blog/ipc-a-610-class-3-inspection-workmanship-high-reliability/) requirements, AI-enhanced inspection systems provide the measurement confidence and data traceability that high-reliability applications demand.

We work with assembly partners utilizing Koh Young, Nordson DAGE, and equivalent AI-enabled inspection platforms to ensure complete quality coverage from bare board fabrication through final assembly verification.

Source: PCB Directory (May 2026), Koh Young

Image: ThisisEngineering via Unsplash