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Duration 35 hours
Course Outline
Module 1: Introduction to Vision Builder AI and SMT Fundamentals
- Vision Builder AI Overview
- Configuration and Inspection Interface
- Inspection State Diagram
- Basic Inspection Workflow
- Foundations of SMT
- SMT Assembly Process
- Component Placement Defects (including misalignment, rotation, absence, and polarity)
- Overview of SPI and AOI
Module 2: Image Acquisition and Preprocessing
- Image Acquisition in Vision Builder AI
- Configuring Image Acquisition (Simulated Acquisition)
- Camera Types and SMT-Specific Considerations (resolution and lighting)
- Image Preprocessing Techniques
- Applying Filters to Enhance Features (such as edges and contrast)
- Methods for Noise Reduction
Module 3: Component Location and Coordinate Adjustment
- Locating SMT Components
- Utilizing Match Pattern to Identify Components
- Considerations for Template Creation (accounting for component variations)
- Optimizing Search Efficiency Using ROI (Region of Interest)
- Coordinate Systems
- Establishing Coordinate Systems Based on Component Location
- Spatial Calibration (converting pixels to real-world units)
Module 4: Placement Defect Inspection
- Presence and Absence Verification
- Verifying Component Presence Using Measure Intensity
- Identifying Missing Components
- Displacement Measurement
- Quantifying Displacement Using Measurement Tools (Geometry, Caliper)
- Calculating Deviation from the Nominal Position
- Solder Inspection
- Analysis of Shape and Size (SPI)
- Detection of Bridges and Insufficient Solder (AOI)
- Polarity Verification
- Employing Pattern Recognition Techniques for Orientation Checks
Module 5: Logical Decisions, Reporting, and Optimization
- Logical Decision Making
- Combining Inspection Results Using the Logic Calculator
- Defining Pass and Fail Criteria
- Reporting and Data Output
- Extracting Measurement Data
- Transmitting Results to External Systems
- Optimizing the Inspection System
- Enhancing Inspection Speed
- Adjusting Parameters for Improved Accuracy
- Common Troubleshooting Techniques
Summary and Next Steps
Requirements
- A foundational understanding of basic electronics and inspection systems
- Prior experience with machine vision principles or SMT processes
- Proficiency with Windows-based applications and general programming logic
Target Audience
- Automation engineers
- Quality assurance professionals involved with SMT production lines
- Vision system developers and IoT specialists
