Course Outline

Module 1: Introduction to Vision Builder AI and SMT Fundamentals

  • Introduction to Vision Builder AI
    • Configuration and Inspection Interface
    • Inspection State Diagram
    • Basic Inspection Workflow
  • SMT Fundamentals
    • SMT Assembly Process
    • Component Placement Defects (misalignment, rotation, absence, polarity, etc.)
    • Introduction to SPI and AOI

Module 2: Image Acquisition and Preprocessing

  • Image Acquisition in Vision Builder AI
    • Image Acquisition Configuration (Simulate Acquisition)
    • Camera Types and SMT Considerations (resolution, lighting)
  • Image Preprocessing
    • Filters to Enhance Features (edges, contrast)
    • Noise Reduction Techniques

Module 3: Component Location and Coordinate Adjustment

  • Locating SMT Components
    • Using Match Pattern to Find Components
    • Template Creation Considerations (component variations)
    • Using ROI (Region of Interest) to Optimize Search
  • Coordinate Systems
    • Creating Coordinate Systems Based on Component Location
    • Spatial Calibration (pixels to real-world units)

Module 4: Placement Defect Inspection

  • Presence/Absence Inspection
    • Using Measure Intensity to Verify Component Presence
    • Detection of Missing Components
  • Displacement Measurement
    • Using Measurement Tools (Geometry, Caliper) to Quantify Displacement
    • Calculating Deviation from Nominal Position
  • Solder Inspection
    • Shape and Size Analysis (SPI)
    • Bridge and Insufficient Solder Detection (AOI)
  • Polarity Detection
    • Pattern Recognition Techniques for Orientation Verification

Module 5: Logical Decisions, Reporting, and Optimization

  • Logical Decision Making
    • Using Logic Calculator to Combine Inspection Results
    • Defining Pass/Fail Criteria
  • Reporting and Data Output
    • Extracting Measurement Data
    • Communicating Results to External Systems
  • Inspection System Optimization
    • Improving Inspection Speed
    • Parameter Adjustment for Accuracy
    • Common Troubleshooting Techniques

Summary and Next Steps

Requirements

  • An understanding of basic electronics and inspection systems
  • Experience with machine vision concepts or SMT processes
  • Familiarity with Windows-based applications and general programming logic

Audience

  • Automation engineers
  • Quality assurance professionals working with SMT production lines
  • Vision system developers and IoT specialists
 35 Hours

Number of participants


Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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