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Course Outline

Module 1: Overview of Vision Builder AI and SMT Basics

  • Familiarizing with Vision Builder AI
    • The Configuration and Inspection Interface
    • The Inspection State Diagram
    • Standard Inspection Workflows
  • SMT Essentials
    • The SMT Assembly Procedure
    • Component Placement Errors (misalignment, rotation, absence, polarity, etc.)
    • Introduction to SPI and AOI

Module 2: Capturing and Preparing Images

  • Image Acquisition in Vision Builder AI
    • Configuring Image Acquisition (Simulated Capture)
    • Camera Specifications and SMT Requirements (resolution, lighting)
  • Image Preparation
    • Filters for Feature Enhancement (edges, contrast)
    • Methods for Noise Reduction

Module 3: Locating Components and Adjusting Coordinates

  • Identifying SMT Components
    • Utilizing Match Patterns to Locate Parts
    • Considerations for Template Creation (accounting for component variations)
    • Optimizing Search via ROI (Region of Interest)
  • Coordinate Frameworks
    • Establishing Coordinate Systems Relative to Component Position
    • Spatial Calibration (converting pixels to real-world units)

Module 4: Inspecting Placement Defects

  • Checking for Presence/Absence
    • Verifying Component Existence via Measure Intensity
    • Identifying Missing Components
  • Measuring Displacement
    • Quantifying Shift Using Measurement Tools (Geometry, Caliper)
    • Determining Deviation from the Nominal Position
  • Examination of Solder
    • Analyzing Shape and Size (SPI)
    • Detecting Bridges and Insufficient Solder (AOI)
  • Verifying Polarity
    • Using Pattern Recognition to Confirm Orientation

Module 5: Logical Decisions, Reporting, and Refinement

  • Logical Decision Processes
    • Combining Inspection Outcomes with the Logic Calculator
    • Setting Pass/Fail Standards
  • Reporting and Data Exchange
    • Retrieving Measurement Data
    • Sharing Results with External Systems
  • Optimizing the Inspection System
    • Enhancing Inspection Velocity
    • Adjusting Parameters for Precision
    • Standard Troubleshooting Methods

Conclusion and Future Steps

Requirements

  • A solid grasp of fundamental electronics and inspection systems
  • Prior experience with machine vision principles or SMT workflows
  • Comfort with Windows-based software and general programming logic

Intended Participants

  • Automation engineers
  • Quality assurance experts focused on SMT production lines
  • Developers of vision systems and IoT specialists
 35 Hours

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