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Course Outline

Module 1: Introduction to Vision Builder AI and SMT Basics

  • Overview of Vision Builder AI
    • The Configuration and Inspection Interface.
    • Understanding the Inspection State Diagram.
    • Foundational Inspection Workflows.
  • Essentials of SMT Technology
    • The SMT Assembly Process.
    • Common Component Placement Defects (including misalignment, rotation, missing parts, and polarity issues).
    • An introduction to SPI and AOI technologies.

Module 2: Image Acquisition and Preprocessing

  • Image Acquisition in Vision Builder AI
    • Configuring Image Acquisition (including Simulate Acquisition).
    • Camera Selection and SMT-Specific Factors (such as resolution and lighting conditions).
  • Image Preprocessing Techniques
    • Applying filters to enhance features like edges and contrast.
    • Methods for reducing noise.

Module 3: Component Location and Coordinate Alignment

  • Identifying SMT Components
    • Leveraging Match Pattern to locate components.
    • Considerations for Template Creation (accounting for component variations).
    • Utilizing ROI (Region of Interest) to refine search parameters.
  • Coordinate Systems
    • Establishing coordinate systems based on component positioning.
    • Spatial calibration (converting pixels to real-world units).

Module 4: Inspecting for Placement Defects

  • Presence and Absence Checks
    • Employing Measure Intensity to confirm component presence.
    • Identifying missing components.
  • Measuring Displacement
    • Using Measurement Tools (such as Geometry and Caliper) to quantify displacement.
    • Calculating deviations from the nominal position.
  • Solder Joint Inspection
    • Analyzing shape and size (SPI).
    • Detecting bridging and insufficient solder issues (AOI).
  • Polarity Verification
    • Using pattern recognition to verify correct orientation.

Module 5: Logical Decisions, Reporting, and Optimization

  • Making Logical Decisions
    • Combining inspection results with the Logic Calculator.
    • Setting Pass/Fail criteria.
  • Reporting and Data Output
    • Extracting measurement data.
    • Transmitting results to external systems.
  • Optimizing the Inspection System
    • Enhancing inspection speed.
    • Adjusting parameters to improve accuracy.
    • Standard troubleshooting methods.

Summary and Future Steps

Requirements

  • A solid grasp of basic electronics and inspection system principles.
  • Prior experience with machine vision concepts or SMT manufacturing processes.
  • Comfort with Windows-based software and general programming logic.

Intended Audience

  • Automation Engineers.
  • Quality Assurance specialists focused on SMT production lines.
  • Vision system developers and IoT experts.
 35 Hours

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