Vision Systems

PCB Inspection in the Electronic Device Industry

KEYENCE offers vision systems for precision-based PCB inspections. As an industry leader, our solutions help manufacturers and engineers accurately check the size, number, and placement of components, as well as detect defects.

With a focus on usability, our products simplify checks for lead absence, size, dimension, and other irregularities. Discover how solutions like a vision system with built-in AI can enhance inspection efforts in the electronic device industry.

Vision Systems for PCB Visual Inspection

Printed circuit boards in electronic devices are composed of a large number of different sized components that need inspection. Defects such as bridging, missing components, and placement errors are also factors that add to the complexity of PCB visual inspection applications. As an expert solutions provider in the vision system industry, KEYENCE offers vision products in varying configurations to help electronic device manufacturers handle PCB inspection needs regardless of complexity or defect types, delivering speed and precision in addition to accurate inspection results.

Vision Systems With Built-in AI

KEYENCE vision systems with built-in AI technology deliver unmatched PCB assembly inspection with the capability to learn and adapt to new defect patterns without excessive programming, as is often the case in traditional systems.

Intuitive Vision Systems

Give operators and engineers easy-to-navigate vision controls when performing printed circuit board inspections. Choose KEYENCE intuitive vision systems for a user-friendly interface that makes setup, operation, and maintenance easy.

Inline 3D Inspection

For inspection needs where checks must be performed on the assembly line, the XT features two camera models, a 9+ megapixel image sensor, and more, delivering inline 3D inspection results for PCB applications.

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Challenges in Circuit Board Inspection

Design Complexity

Accurate PCB inspections are challenging due to intricate designs and miniaturized components. Vision systems, with high-resolution cameras and powerful image processing, detect even the smallest defects in high-definition detail.

Operator Errors

Difficult-to-navigate vision setup is one reason for inaccurate circuit board inspection results. Solutions like intuitive vision systems provide a user-friendly and icon-based interface to help operators program the right settings.

Lighting Conditions

Inadequate lighting can hinder defect detection. KEYENCE vision systems overcome this challenge with a powerful projector, image sensor, and AI technology, ensuring accurate results across all environments and surfaces.

Speed Requirements

Keeping up with production line speed is challenging, especially for traditional vision products. With the industry’s throughput requirements in mind, vision systems provide unmatched inspections for fast-moving PCB lines without sacrificing precision.

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FAQs about PCB Assembly Inspection

What is a PCB Visual Inspection?

A PCB inspection is a machine visual check for the proper size, number, and placement of components to help find defects and irregularities on PCBs.

What Types of Defects Can PCB Inspections Detect?

Lead absence, bridging, slumped or scavenged print, peaking, incorrect components, and bent IC units are some defects detected by a PCB assembly inspection.

How Does a PCB Assembly Inspection Contribute to Quality Control?

Circuit board inspection vision solution helps line managers and stakeholders find PCB issues that may cause system malfunction or failure.

What Types of Machine Vision Systems are Used for Circuit Board Inspections?

Vision systems for the electronic device industry include inline 3D inspection machines, intuitive vision systems, and vision solutions with built-in AI.

Why is a PCB Assembly Inspection Critical for Electrical Industry Applications?

Accurate PCB inspections during production assembly are critical to quality assurance, safety of electronic products, compliance and regulatory standards, and brand image.