A Universal AI-Powered Segmentation Model for PCBA & Semiconductor

A universal AI & Deep Learning powered model that enhances defect detection in AOI systems for PCBAs and semiconductors, further improving accuracy, speed and consistency - streamlining inspection processes.
Nordson Test & Inspection

More Technical Papers

Scaling SMT Traceability

The Drawbacks of Internal Recycling Systems for Solder Dross

Engineering ESD-Safe PCB Assembly for High-Reliability IoT and Industrial Electronics

The Analysis of Variance: Drawing Conclusions from Data That Are Correct, Unambiguous, and Defensible

PCB Rework Evolves, With X-ray a Constant Support

How pH Cleaning Agents Affect Production Performance

A Universal AI-Powered Segmentation Model for PCBA & Semiconductor

RAIG Minimizes Corrosion, Allows Higher Gold on ENEPIG

High Reliability Lead-Free Solder Paste with Rosin and Anti-Crack Resin

Understanding Solder Dross: Causes and Control Strategies

Optimizing BGA Rework: Challenges, Techniques and Quality Control

Maintenance: The Basics of Cleaning Series Part 4

The Economics of Electronic Component Salvage and Reuse

Cutting Without Contact: How Laser Depanelling Redefines PCB Manufacturing

The "Fried Egg" Effect in Soldering

Flux Technology Development for Solder Paste Compatible with Formic Acid Reflow Ovens for Power Devices

Innovative Power Module Assembly Solutions

Unlocking the Potential of Nanoscale Conformal Coatings

Recycling vs Circularity: Minimising E-Waste in Manufacturing

Optimizing Cleaning Strategies for Advanced Packaging Technologies with Low Standoff Components

Full Technical Paper Index

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